diff --git a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/graph_hash.txt b/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/graph_hash.txt deleted file mode 100644 index 4596ce3c0..000000000 --- a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -7fb58c47dc515a3f56d9327bf2b242531f0de9a647ba32877ef2fb58606ab3b8 \ No newline at end of file diff --git a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/graph_net.json b/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/graph_net.json deleted file mode 100644 index 5a6dada2f..000000000 --- a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "timm", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/input_meta.py b/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/input_tensor_constraints.py b/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/model.py b/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/model.py deleted file mode 100644 index 5502ab151..000000000 --- a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/model.py +++ /dev/null @@ -1,2725 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_stem_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_stem_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_2_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_2_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_6_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_7_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_8_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_9_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_10_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_11_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_12_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_13_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_14_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_15_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_16_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_17_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_18_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_19_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_20_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_21_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_22_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_23_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_24_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_25_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_26_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_2_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_pre_logits_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_pre_logits_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_stem_modules_0_parameters_weight_ = ( - L_self_modules_stem_modules_0_parameters_weight_ - ) - l_self_modules_stem_modules_0_parameters_bias_ = ( - L_self_modules_stem_modules_0_parameters_bias_ - ) - l_x_ = L_x_ - l_self_modules_stem_modules_1_parameters_weight_ = ( - L_self_modules_stem_modules_1_parameters_weight_ - ) - l_self_modules_stem_modules_1_parameters_bias_ = ( - L_self_modules_stem_modules_1_parameters_bias_ - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_ = ( - L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_ - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_ = ( - L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_ - ) - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_2_parameters_gamma_ = ( - L_self_modules_stages_modules_0_modules_blocks_modules_2_parameters_gamma_ - ) - l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_ - l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_ = ( - L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_ - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_ = ( - L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_ - ) - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_2_parameters_gamma_ = ( - L_self_modules_stages_modules_1_modules_blocks_modules_2_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_ - l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_6_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_6_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_7_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_7_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_8_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_8_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_9_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_9_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_10_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_10_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_11_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_11_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_12_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_12_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_13_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_13_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_14_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_14_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_15_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_15_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_16_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_16_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_17_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_17_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_18_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_18_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_19_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_19_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_20_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_20_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_21_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_21_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_22_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_22_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_23_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_23_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_24_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_24_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_25_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_25_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_26_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_26_parameters_gamma_ - ) - l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_ - l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_ = ( - L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_ - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_ = ( - L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_ - ) - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_2_parameters_gamma_ = ( - L_self_modules_stages_modules_3_modules_blocks_modules_2_parameters_gamma_ - ) - l_self_modules_head_modules_norm_parameters_weight_ = ( - L_self_modules_head_modules_norm_parameters_weight_ - ) - l_self_modules_head_modules_norm_parameters_bias_ = ( - L_self_modules_head_modules_norm_parameters_bias_ - ) - l_self_modules_head_modules_pre_logits_modules_fc_parameters_weight_ = ( - L_self_modules_head_modules_pre_logits_modules_fc_parameters_weight_ - ) - l_self_modules_head_modules_pre_logits_modules_fc_parameters_bias_ = ( - L_self_modules_head_modules_pre_logits_modules_fc_parameters_bias_ - ) - l_self_modules_head_modules_fc_parameters_weight_ = ( - L_self_modules_head_modules_fc_parameters_weight_ - ) - l_self_modules_head_modules_fc_parameters_bias_ = ( - L_self_modules_head_modules_fc_parameters_bias_ - ) - input_1 = torch.conv2d( - l_x_, - l_self_modules_stem_modules_0_parameters_weight_, - l_self_modules_stem_modules_0_parameters_bias_, - (4, 4), - (0, 0), - (1, 1), - 1, - ) - l_x_ = ( - l_self_modules_stem_modules_0_parameters_weight_ - ) = l_self_modules_stem_modules_0_parameters_bias_ = None - x = input_1.permute(0, 2, 3, 1) - input_1 = None - x_1 = torch.nn.functional.layer_norm( - x, - (192,), - l_self_modules_stem_modules_1_parameters_weight_, - l_self_modules_stem_modules_1_parameters_bias_, - 1e-06, - ) - x = ( - l_self_modules_stem_modules_1_parameters_weight_ - ) = l_self_modules_stem_modules_1_parameters_bias_ = None - x_2 = x_1.permute(0, 3, 1, 2) - x_1 = None - x_3 = torch.conv2d( - x_2, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 192, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) - x_4 = x_3.permute(0, 2, 3, 1) - x_3 = None - x_5 = torch.nn.functional.layer_norm( - x_4, - (192,), - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_, - 1e-06, - ) - x_4 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_ = (None) - x_6 = torch._C._nn.linear( - x_5, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - ) - x_5 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_7 = torch._C._nn.gelu(x_6) - x_6 = None - x_8 = torch.nn.functional.dropout(x_7, 0.0, False, False) - x_7 = None - x_9 = torch._C._nn.linear( - x_8, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - ) - x_8 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_10 = torch.nn.functional.dropout(x_9, 0.0, False, False) - x_9 = None - x_11 = x_10.permute(0, 3, 1, 2) - x_10 = None - reshape = l_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_ = ( - None - ) - x_12 = x_11.mul(reshape) - x_11 = reshape = None - x_13 = x_12 + x_2 - x_12 = x_2 = None - x_14 = torch.conv2d( - x_13, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 192, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) - x_15 = x_14.permute(0, 2, 3, 1) - x_14 = None - x_16 = torch.nn.functional.layer_norm( - x_15, - (192,), - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_, - 1e-06, - ) - x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_ = (None) - x_17 = torch._C._nn.linear( - x_16, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - ) - x_16 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_18 = torch._C._nn.gelu(x_17) - x_17 = None - x_19 = torch.nn.functional.dropout(x_18, 0.0, False, False) - x_18 = None - x_20 = torch._C._nn.linear( - x_19, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - ) - x_19 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_21 = torch.nn.functional.dropout(x_20, 0.0, False, False) - x_20 = None - x_22 = x_21.permute(0, 3, 1, 2) - x_21 = None - reshape_1 = l_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_ = ( - None - ) - x_23 = x_22.mul(reshape_1) - x_22 = reshape_1 = None - x_24 = x_23 + x_13 - x_23 = x_13 = None - x_25 = torch.conv2d( - x_24, - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 192, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = (None) - x_26 = x_25.permute(0, 2, 3, 1) - x_25 = None - x_27 = torch.nn.functional.layer_norm( - x_26, - (192,), - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_bias_, - 1e-06, - ) - x_26 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_bias_ = (None) - x_28 = torch._C._nn.linear( - x_27, - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_, - ) - x_27 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_29 = torch._C._nn.gelu(x_28) - x_28 = None - x_30 = torch.nn.functional.dropout(x_29, 0.0, False, False) - x_29 = None - x_31 = torch._C._nn.linear( - x_30, - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_, - ) - x_30 = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_32 = torch.nn.functional.dropout(x_31, 0.0, False, False) - x_31 = None - x_33 = x_32.permute(0, 3, 1, 2) - x_32 = None - reshape_2 = l_self_modules_stages_modules_0_modules_blocks_modules_2_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_0_modules_blocks_modules_2_parameters_gamma_ = ( - None - ) - x_34 = x_33.mul(reshape_2) - x_33 = reshape_2 = None - x_35 = x_34 + x_24 - x_34 = x_24 = None - x_36 = x_35.permute(0, 2, 3, 1) - x_35 = None - x_37 = torch.nn.functional.layer_norm( - x_36, - (192,), - l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_, - l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_, - 1e-06, - ) - x_36 = l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_ = (None) - x_38 = x_37.permute(0, 3, 1, 2) - x_37 = None - input_2 = torch.conv2d( - x_38, - l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_, - l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_38 = l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_ = (None) - x_39 = torch.conv2d( - input_2, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 384, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) - x_40 = x_39.permute(0, 2, 3, 1) - x_39 = None - x_41 = torch.nn.functional.layer_norm( - x_40, - (384,), - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_, - 1e-06, - ) - x_40 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_ = (None) - x_42 = torch._C._nn.linear( - x_41, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - ) - x_41 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_43 = torch._C._nn.gelu(x_42) - x_42 = None - x_44 = torch.nn.functional.dropout(x_43, 0.0, False, False) - x_43 = None - x_45 = torch._C._nn.linear( - x_44, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - ) - x_44 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_46 = torch.nn.functional.dropout(x_45, 0.0, False, False) - x_45 = None - x_47 = x_46.permute(0, 3, 1, 2) - x_46 = None - reshape_3 = l_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_ = ( - None - ) - x_48 = x_47.mul(reshape_3) - x_47 = reshape_3 = None - x_49 = x_48 + input_2 - x_48 = input_2 = None - x_50 = torch.conv2d( - x_49, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 384, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) - x_51 = x_50.permute(0, 2, 3, 1) - x_50 = None - x_52 = torch.nn.functional.layer_norm( - x_51, - (384,), - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_, - 1e-06, - ) - x_51 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_ = (None) - x_53 = torch._C._nn.linear( - x_52, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - ) - x_52 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_54 = torch._C._nn.gelu(x_53) - x_53 = None - x_55 = torch.nn.functional.dropout(x_54, 0.0, False, False) - x_54 = None - x_56 = torch._C._nn.linear( - x_55, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - ) - x_55 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_57 = torch.nn.functional.dropout(x_56, 0.0, False, False) - x_56 = None - x_58 = x_57.permute(0, 3, 1, 2) - x_57 = None - reshape_4 = l_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_ = ( - None - ) - x_59 = x_58.mul(reshape_4) - x_58 = reshape_4 = None - x_60 = x_59 + x_49 - x_59 = x_49 = None - x_61 = torch.conv2d( - x_60, - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 384, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = (None) - x_62 = x_61.permute(0, 2, 3, 1) - x_61 = None - x_63 = torch.nn.functional.layer_norm( - x_62, - (384,), - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_bias_, - 1e-06, - ) - x_62 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_bias_ = (None) - x_64 = torch._C._nn.linear( - x_63, - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_, - ) - x_63 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_65 = torch._C._nn.gelu(x_64) - x_64 = None - x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False) - x_65 = None - x_67 = torch._C._nn.linear( - x_66, - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_, - ) - x_66 = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_68 = torch.nn.functional.dropout(x_67, 0.0, False, False) - x_67 = None - x_69 = x_68.permute(0, 3, 1, 2) - x_68 = None - reshape_5 = l_self_modules_stages_modules_1_modules_blocks_modules_2_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_1_modules_blocks_modules_2_parameters_gamma_ = ( - None - ) - x_70 = x_69.mul(reshape_5) - x_69 = reshape_5 = None - x_71 = x_70 + x_60 - x_70 = x_60 = None - x_72 = x_71.permute(0, 2, 3, 1) - x_71 = None - x_73 = torch.nn.functional.layer_norm( - x_72, - (384,), - l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_, - l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_, - 1e-06, - ) - x_72 = l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_ = (None) - x_74 = x_73.permute(0, 3, 1, 2) - x_73 = None - input_3 = torch.conv2d( - x_74, - l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_, - l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_74 = l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_ = (None) - x_75 = torch.conv2d( - input_3, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) - x_76 = x_75.permute(0, 2, 3, 1) - x_75 = None - x_77 = torch.nn.functional.layer_norm( - x_76, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_, - 1e-06, - ) - x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_ = (None) - x_78 = torch._C._nn.linear( - x_77, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - ) - x_77 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_79 = torch._C._nn.gelu(x_78) - x_78 = None - x_80 = torch.nn.functional.dropout(x_79, 0.0, False, False) - x_79 = None - x_81 = torch._C._nn.linear( - x_80, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - ) - x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_82 = torch.nn.functional.dropout(x_81, 0.0, False, False) - x_81 = None - x_83 = x_82.permute(0, 3, 1, 2) - x_82 = None - reshape_6 = l_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_ = ( - None - ) - x_84 = x_83.mul(reshape_6) - x_83 = reshape_6 = None - x_85 = x_84 + input_3 - x_84 = input_3 = None - x_86 = torch.conv2d( - x_85, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) - x_87 = x_86.permute(0, 2, 3, 1) - x_86 = None - x_88 = torch.nn.functional.layer_norm( - x_87, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_, - 1e-06, - ) - x_87 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_ = (None) - x_89 = torch._C._nn.linear( - x_88, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - ) - x_88 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_90 = torch._C._nn.gelu(x_89) - x_89 = None - x_91 = torch.nn.functional.dropout(x_90, 0.0, False, False) - x_90 = None - x_92 = torch._C._nn.linear( - x_91, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - ) - x_91 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_93 = torch.nn.functional.dropout(x_92, 0.0, False, False) - x_92 = None - x_94 = x_93.permute(0, 3, 1, 2) - x_93 = None - reshape_7 = l_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_ = ( - None - ) - x_95 = x_94.mul(reshape_7) - x_94 = reshape_7 = None - x_96 = x_95 + x_85 - x_95 = x_85 = None - x_97 = torch.conv2d( - x_96, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = (None) - x_98 = x_97.permute(0, 2, 3, 1) - x_97 = None - x_99 = torch.nn.functional.layer_norm( - x_98, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_, - 1e-06, - ) - x_98 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_ = (None) - x_100 = torch._C._nn.linear( - x_99, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_, - ) - x_99 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_101 = torch._C._nn.gelu(x_100) - x_100 = None - x_102 = torch.nn.functional.dropout(x_101, 0.0, False, False) - x_101 = None - x_103 = torch._C._nn.linear( - x_102, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_, - ) - x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_104 = torch.nn.functional.dropout(x_103, 0.0, False, False) - x_103 = None - x_105 = x_104.permute(0, 3, 1, 2) - x_104 = None - reshape_8 = l_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_ = ( - None - ) - x_106 = x_105.mul(reshape_8) - x_105 = reshape_8 = None - x_107 = x_106 + x_96 - x_106 = x_96 = None - x_108 = torch.conv2d( - x_107, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_ = (None) - x_109 = x_108.permute(0, 2, 3, 1) - x_108 = None - x_110 = torch.nn.functional.layer_norm( - x_109, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_, - 1e-06, - ) - x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_ = (None) - x_111 = torch._C._nn.linear( - x_110, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_, - ) - x_110 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_112 = torch._C._nn.gelu(x_111) - x_111 = None - x_113 = torch.nn.functional.dropout(x_112, 0.0, False, False) - x_112 = None - x_114 = torch._C._nn.linear( - x_113, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_, - ) - x_113 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_115 = torch.nn.functional.dropout(x_114, 0.0, False, False) - x_114 = None - x_116 = x_115.permute(0, 3, 1, 2) - x_115 = None - reshape_9 = l_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_ = ( - None - ) - x_117 = x_116.mul(reshape_9) - x_116 = reshape_9 = None - x_118 = x_117 + x_107 - x_117 = x_107 = None - x_119 = torch.conv2d( - x_118, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_ = (None) - x_120 = x_119.permute(0, 2, 3, 1) - x_119 = None - x_121 = torch.nn.functional.layer_norm( - x_120, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_, - 1e-06, - ) - x_120 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_ = (None) - x_122 = torch._C._nn.linear( - x_121, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_, - ) - x_121 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_123 = torch._C._nn.gelu(x_122) - x_122 = None - x_124 = torch.nn.functional.dropout(x_123, 0.0, False, False) - x_123 = None - x_125 = torch._C._nn.linear( - x_124, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_, - ) - x_124 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_126 = torch.nn.functional.dropout(x_125, 0.0, False, False) - x_125 = None - x_127 = x_126.permute(0, 3, 1, 2) - x_126 = None - reshape_10 = l_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_ = ( - None - ) - x_128 = x_127.mul(reshape_10) - x_127 = reshape_10 = None - x_129 = x_128 + x_118 - x_128 = x_118 = None - x_130 = torch.conv2d( - x_129, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_ = (None) - x_131 = x_130.permute(0, 2, 3, 1) - x_130 = None - x_132 = torch.nn.functional.layer_norm( - x_131, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_, - 1e-06, - ) - x_131 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_ = (None) - x_133 = torch._C._nn.linear( - x_132, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_, - ) - x_132 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_134 = torch._C._nn.gelu(x_133) - x_133 = None - x_135 = torch.nn.functional.dropout(x_134, 0.0, False, False) - x_134 = None - x_136 = torch._C._nn.linear( - x_135, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_, - ) - x_135 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_137 = torch.nn.functional.dropout(x_136, 0.0, False, False) - x_136 = None - x_138 = x_137.permute(0, 3, 1, 2) - x_137 = None - reshape_11 = l_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_ = ( - None - ) - x_139 = x_138.mul(reshape_11) - x_138 = reshape_11 = None - x_140 = x_139 + x_129 - x_139 = x_129 = None - x_141 = torch.conv2d( - x_140, - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_bias_ = (None) - x_142 = x_141.permute(0, 2, 3, 1) - x_141 = None - x_143 = torch.nn.functional.layer_norm( - x_142, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_bias_, - 1e-06, - ) - x_142 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_bias_ = (None) - x_144 = torch._C._nn.linear( - x_143, - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_, - ) - x_143 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_145 = torch._C._nn.gelu(x_144) - x_144 = None - x_146 = torch.nn.functional.dropout(x_145, 0.0, False, False) - x_145 = None - x_147 = torch._C._nn.linear( - x_146, - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_, - ) - x_146 = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False) - x_147 = None - x_149 = x_148.permute(0, 3, 1, 2) - x_148 = None - reshape_12 = l_self_modules_stages_modules_2_modules_blocks_modules_6_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_6_parameters_gamma_ = ( - None - ) - x_150 = x_149.mul(reshape_12) - x_149 = reshape_12 = None - x_151 = x_150 + x_140 - x_150 = x_140 = None - x_152 = torch.conv2d( - x_151, - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_bias_ = (None) - x_153 = x_152.permute(0, 2, 3, 1) - x_152 = None - x_154 = torch.nn.functional.layer_norm( - x_153, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_bias_, - 1e-06, - ) - x_153 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_bias_ = (None) - x_155 = torch._C._nn.linear( - x_154, - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_, - ) - x_154 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_156 = torch._C._nn.gelu(x_155) - x_155 = None - x_157 = torch.nn.functional.dropout(x_156, 0.0, False, False) - x_156 = None - x_158 = torch._C._nn.linear( - x_157, - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_, - ) - x_157 = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_159 = torch.nn.functional.dropout(x_158, 0.0, False, False) - x_158 = None - x_160 = x_159.permute(0, 3, 1, 2) - x_159 = None - reshape_13 = l_self_modules_stages_modules_2_modules_blocks_modules_7_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_7_parameters_gamma_ = ( - None - ) - x_161 = x_160.mul(reshape_13) - x_160 = reshape_13 = None - x_162 = x_161 + x_151 - x_161 = x_151 = None - x_163 = torch.conv2d( - x_162, - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_bias_ = (None) - x_164 = x_163.permute(0, 2, 3, 1) - x_163 = None - x_165 = torch.nn.functional.layer_norm( - x_164, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_bias_, - 1e-06, - ) - x_164 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_bias_ = (None) - x_166 = torch._C._nn.linear( - x_165, - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_, - ) - x_165 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_167 = torch._C._nn.gelu(x_166) - x_166 = None - x_168 = torch.nn.functional.dropout(x_167, 0.0, False, False) - x_167 = None - x_169 = torch._C._nn.linear( - x_168, - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_, - ) - x_168 = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_170 = torch.nn.functional.dropout(x_169, 0.0, False, False) - x_169 = None - x_171 = x_170.permute(0, 3, 1, 2) - x_170 = None - reshape_14 = l_self_modules_stages_modules_2_modules_blocks_modules_8_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_8_parameters_gamma_ = ( - None - ) - x_172 = x_171.mul(reshape_14) - x_171 = reshape_14 = None - x_173 = x_172 + x_162 - x_172 = x_162 = None - x_174 = torch.conv2d( - x_173, - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_bias_ = (None) - x_175 = x_174.permute(0, 2, 3, 1) - x_174 = None - x_176 = torch.nn.functional.layer_norm( - x_175, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_bias_, - 1e-06, - ) - x_175 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_bias_ = (None) - x_177 = torch._C._nn.linear( - x_176, - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_, - ) - x_176 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_178 = torch._C._nn.gelu(x_177) - x_177 = None - x_179 = torch.nn.functional.dropout(x_178, 0.0, False, False) - x_178 = None - x_180 = torch._C._nn.linear( - x_179, - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_, - ) - x_179 = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_181 = torch.nn.functional.dropout(x_180, 0.0, False, False) - x_180 = None - x_182 = x_181.permute(0, 3, 1, 2) - x_181 = None - reshape_15 = l_self_modules_stages_modules_2_modules_blocks_modules_9_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_9_parameters_gamma_ = ( - None - ) - x_183 = x_182.mul(reshape_15) - x_182 = reshape_15 = None - x_184 = x_183 + x_173 - x_183 = x_173 = None - x_185 = torch.conv2d( - x_184, - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_bias_ = (None) - x_186 = x_185.permute(0, 2, 3, 1) - x_185 = None - x_187 = torch.nn.functional.layer_norm( - x_186, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_bias_, - 1e-06, - ) - x_186 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_bias_ = (None) - x_188 = torch._C._nn.linear( - x_187, - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_, - ) - x_187 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_189 = torch._C._nn.gelu(x_188) - x_188 = None - x_190 = torch.nn.functional.dropout(x_189, 0.0, False, False) - x_189 = None - x_191 = torch._C._nn.linear( - x_190, - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_, - ) - x_190 = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_192 = torch.nn.functional.dropout(x_191, 0.0, False, False) - x_191 = None - x_193 = x_192.permute(0, 3, 1, 2) - x_192 = None - reshape_16 = l_self_modules_stages_modules_2_modules_blocks_modules_10_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_10_parameters_gamma_ = ( - None - ) - x_194 = x_193.mul(reshape_16) - x_193 = reshape_16 = None - x_195 = x_194 + x_184 - x_194 = x_184 = None - x_196 = torch.conv2d( - x_195, - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_bias_ = (None) - x_197 = x_196.permute(0, 2, 3, 1) - x_196 = None - x_198 = torch.nn.functional.layer_norm( - x_197, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_bias_, - 1e-06, - ) - x_197 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_bias_ = (None) - x_199 = torch._C._nn.linear( - x_198, - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_, - ) - x_198 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_200 = torch._C._nn.gelu(x_199) - x_199 = None - x_201 = torch.nn.functional.dropout(x_200, 0.0, False, False) - x_200 = None - x_202 = torch._C._nn.linear( - x_201, - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_, - ) - x_201 = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_203 = torch.nn.functional.dropout(x_202, 0.0, False, False) - x_202 = None - x_204 = x_203.permute(0, 3, 1, 2) - x_203 = None - reshape_17 = l_self_modules_stages_modules_2_modules_blocks_modules_11_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_11_parameters_gamma_ = ( - None - ) - x_205 = x_204.mul(reshape_17) - x_204 = reshape_17 = None - x_206 = x_205 + x_195 - x_205 = x_195 = None - x_207 = torch.conv2d( - x_206, - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_bias_ = (None) - x_208 = x_207.permute(0, 2, 3, 1) - x_207 = None - x_209 = torch.nn.functional.layer_norm( - x_208, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_bias_, - 1e-06, - ) - x_208 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_bias_ = (None) - x_210 = torch._C._nn.linear( - x_209, - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_, - ) - x_209 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_211 = torch._C._nn.gelu(x_210) - x_210 = None - x_212 = torch.nn.functional.dropout(x_211, 0.0, False, False) - x_211 = None - x_213 = torch._C._nn.linear( - x_212, - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_, - ) - x_212 = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_214 = torch.nn.functional.dropout(x_213, 0.0, False, False) - x_213 = None - x_215 = x_214.permute(0, 3, 1, 2) - x_214 = None - reshape_18 = l_self_modules_stages_modules_2_modules_blocks_modules_12_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_12_parameters_gamma_ = ( - None - ) - x_216 = x_215.mul(reshape_18) - x_215 = reshape_18 = None - x_217 = x_216 + x_206 - x_216 = x_206 = None - x_218 = torch.conv2d( - x_217, - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_bias_ = (None) - x_219 = x_218.permute(0, 2, 3, 1) - x_218 = None - x_220 = torch.nn.functional.layer_norm( - x_219, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_bias_, - 1e-06, - ) - x_219 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_bias_ = (None) - x_221 = torch._C._nn.linear( - x_220, - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_, - ) - x_220 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_222 = torch._C._nn.gelu(x_221) - x_221 = None - x_223 = torch.nn.functional.dropout(x_222, 0.0, False, False) - x_222 = None - x_224 = torch._C._nn.linear( - x_223, - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_, - ) - x_223 = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_225 = torch.nn.functional.dropout(x_224, 0.0, False, False) - x_224 = None - x_226 = x_225.permute(0, 3, 1, 2) - x_225 = None - reshape_19 = l_self_modules_stages_modules_2_modules_blocks_modules_13_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_13_parameters_gamma_ = ( - None - ) - x_227 = x_226.mul(reshape_19) - x_226 = reshape_19 = None - x_228 = x_227 + x_217 - x_227 = x_217 = None - x_229 = torch.conv2d( - x_228, - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_bias_ = (None) - x_230 = x_229.permute(0, 2, 3, 1) - x_229 = None - x_231 = torch.nn.functional.layer_norm( - x_230, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_bias_, - 1e-06, - ) - x_230 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_bias_ = (None) - x_232 = torch._C._nn.linear( - x_231, - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_, - ) - x_231 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_233 = torch._C._nn.gelu(x_232) - x_232 = None - x_234 = torch.nn.functional.dropout(x_233, 0.0, False, False) - x_233 = None - x_235 = torch._C._nn.linear( - x_234, - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_, - ) - x_234 = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_236 = torch.nn.functional.dropout(x_235, 0.0, False, False) - x_235 = None - x_237 = x_236.permute(0, 3, 1, 2) - x_236 = None - reshape_20 = l_self_modules_stages_modules_2_modules_blocks_modules_14_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_14_parameters_gamma_ = ( - None - ) - x_238 = x_237.mul(reshape_20) - x_237 = reshape_20 = None - x_239 = x_238 + x_228 - x_238 = x_228 = None - x_240 = torch.conv2d( - x_239, - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_bias_ = (None) - x_241 = x_240.permute(0, 2, 3, 1) - x_240 = None - x_242 = torch.nn.functional.layer_norm( - x_241, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_bias_, - 1e-06, - ) - x_241 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_bias_ = (None) - x_243 = torch._C._nn.linear( - x_242, - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_, - ) - x_242 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_244 = torch._C._nn.gelu(x_243) - x_243 = None - x_245 = torch.nn.functional.dropout(x_244, 0.0, False, False) - x_244 = None - x_246 = torch._C._nn.linear( - x_245, - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_, - ) - x_245 = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_247 = torch.nn.functional.dropout(x_246, 0.0, False, False) - x_246 = None - x_248 = x_247.permute(0, 3, 1, 2) - x_247 = None - reshape_21 = l_self_modules_stages_modules_2_modules_blocks_modules_15_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_15_parameters_gamma_ = ( - None - ) - x_249 = x_248.mul(reshape_21) - x_248 = reshape_21 = None - x_250 = x_249 + x_239 - x_249 = x_239 = None - x_251 = torch.conv2d( - x_250, - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_bias_ = (None) - x_252 = x_251.permute(0, 2, 3, 1) - x_251 = None - x_253 = torch.nn.functional.layer_norm( - x_252, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_bias_, - 1e-06, - ) - x_252 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_bias_ = (None) - x_254 = torch._C._nn.linear( - x_253, - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_, - ) - x_253 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_255 = torch._C._nn.gelu(x_254) - x_254 = None - x_256 = torch.nn.functional.dropout(x_255, 0.0, False, False) - x_255 = None - x_257 = torch._C._nn.linear( - x_256, - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_, - ) - x_256 = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_258 = torch.nn.functional.dropout(x_257, 0.0, False, False) - x_257 = None - x_259 = x_258.permute(0, 3, 1, 2) - x_258 = None - reshape_22 = l_self_modules_stages_modules_2_modules_blocks_modules_16_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_16_parameters_gamma_ = ( - None - ) - x_260 = x_259.mul(reshape_22) - x_259 = reshape_22 = None - x_261 = x_260 + x_250 - x_260 = x_250 = None - x_262 = torch.conv2d( - x_261, - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_bias_ = (None) - x_263 = x_262.permute(0, 2, 3, 1) - x_262 = None - x_264 = torch.nn.functional.layer_norm( - x_263, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_bias_, - 1e-06, - ) - x_263 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_bias_ = (None) - x_265 = torch._C._nn.linear( - x_264, - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_, - ) - x_264 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_266 = torch._C._nn.gelu(x_265) - x_265 = None - x_267 = torch.nn.functional.dropout(x_266, 0.0, False, False) - x_266 = None - x_268 = torch._C._nn.linear( - x_267, - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_, - ) - x_267 = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_269 = torch.nn.functional.dropout(x_268, 0.0, False, False) - x_268 = None - x_270 = x_269.permute(0, 3, 1, 2) - x_269 = None - reshape_23 = l_self_modules_stages_modules_2_modules_blocks_modules_17_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_17_parameters_gamma_ = ( - None - ) - x_271 = x_270.mul(reshape_23) - x_270 = reshape_23 = None - x_272 = x_271 + x_261 - x_271 = x_261 = None - x_273 = torch.conv2d( - x_272, - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_bias_ = (None) - x_274 = x_273.permute(0, 2, 3, 1) - x_273 = None - x_275 = torch.nn.functional.layer_norm( - x_274, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_bias_, - 1e-06, - ) - x_274 = l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_bias_ = (None) - x_276 = torch._C._nn.linear( - x_275, - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_, - ) - x_275 = l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_277 = torch._C._nn.gelu(x_276) - x_276 = None - x_278 = torch.nn.functional.dropout(x_277, 0.0, False, False) - x_277 = None - x_279 = torch._C._nn.linear( - x_278, - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_, - ) - x_278 = l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_280 = torch.nn.functional.dropout(x_279, 0.0, False, False) - x_279 = None - x_281 = x_280.permute(0, 3, 1, 2) - x_280 = None - reshape_24 = l_self_modules_stages_modules_2_modules_blocks_modules_18_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_18_parameters_gamma_ = ( - None - ) - x_282 = x_281.mul(reshape_24) - x_281 = reshape_24 = None - x_283 = x_282 + x_272 - x_282 = x_272 = None - x_284 = torch.conv2d( - x_283, - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_bias_ = (None) - x_285 = x_284.permute(0, 2, 3, 1) - x_284 = None - x_286 = torch.nn.functional.layer_norm( - x_285, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_bias_, - 1e-06, - ) - x_285 = l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_bias_ = (None) - x_287 = torch._C._nn.linear( - x_286, - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_, - ) - x_286 = l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_288 = torch._C._nn.gelu(x_287) - x_287 = None - x_289 = torch.nn.functional.dropout(x_288, 0.0, False, False) - x_288 = None - x_290 = torch._C._nn.linear( - x_289, - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_, - ) - x_289 = l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_291 = torch.nn.functional.dropout(x_290, 0.0, False, False) - x_290 = None - x_292 = x_291.permute(0, 3, 1, 2) - x_291 = None - reshape_25 = l_self_modules_stages_modules_2_modules_blocks_modules_19_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_19_parameters_gamma_ = ( - None - ) - x_293 = x_292.mul(reshape_25) - x_292 = reshape_25 = None - x_294 = x_293 + x_283 - x_293 = x_283 = None - x_295 = torch.conv2d( - x_294, - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_bias_ = (None) - x_296 = x_295.permute(0, 2, 3, 1) - x_295 = None - x_297 = torch.nn.functional.layer_norm( - x_296, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_bias_, - 1e-06, - ) - x_296 = l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_bias_ = (None) - x_298 = torch._C._nn.linear( - x_297, - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_, - ) - x_297 = l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_299 = torch._C._nn.gelu(x_298) - x_298 = None - x_300 = torch.nn.functional.dropout(x_299, 0.0, False, False) - x_299 = None - x_301 = torch._C._nn.linear( - x_300, - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_, - ) - x_300 = l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_302 = torch.nn.functional.dropout(x_301, 0.0, False, False) - x_301 = None - x_303 = x_302.permute(0, 3, 1, 2) - x_302 = None - reshape_26 = l_self_modules_stages_modules_2_modules_blocks_modules_20_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_20_parameters_gamma_ = ( - None - ) - x_304 = x_303.mul(reshape_26) - x_303 = reshape_26 = None - x_305 = x_304 + x_294 - x_304 = x_294 = None - x_306 = torch.conv2d( - x_305, - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_bias_ = (None) - x_307 = x_306.permute(0, 2, 3, 1) - x_306 = None - x_308 = torch.nn.functional.layer_norm( - x_307, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_bias_, - 1e-06, - ) - x_307 = l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_bias_ = (None) - x_309 = torch._C._nn.linear( - x_308, - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_, - ) - x_308 = l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_310 = torch._C._nn.gelu(x_309) - x_309 = None - x_311 = torch.nn.functional.dropout(x_310, 0.0, False, False) - x_310 = None - x_312 = torch._C._nn.linear( - x_311, - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_, - ) - x_311 = l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_313 = torch.nn.functional.dropout(x_312, 0.0, False, False) - x_312 = None - x_314 = x_313.permute(0, 3, 1, 2) - x_313 = None - reshape_27 = l_self_modules_stages_modules_2_modules_blocks_modules_21_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_21_parameters_gamma_ = ( - None - ) - x_315 = x_314.mul(reshape_27) - x_314 = reshape_27 = None - x_316 = x_315 + x_305 - x_315 = x_305 = None - x_317 = torch.conv2d( - x_316, - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_bias_ = (None) - x_318 = x_317.permute(0, 2, 3, 1) - x_317 = None - x_319 = torch.nn.functional.layer_norm( - x_318, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_bias_, - 1e-06, - ) - x_318 = l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_bias_ = (None) - x_320 = torch._C._nn.linear( - x_319, - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_, - ) - x_319 = l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_321 = torch._C._nn.gelu(x_320) - x_320 = None - x_322 = torch.nn.functional.dropout(x_321, 0.0, False, False) - x_321 = None - x_323 = torch._C._nn.linear( - x_322, - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_, - ) - x_322 = l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_324 = torch.nn.functional.dropout(x_323, 0.0, False, False) - x_323 = None - x_325 = x_324.permute(0, 3, 1, 2) - x_324 = None - reshape_28 = l_self_modules_stages_modules_2_modules_blocks_modules_22_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_22_parameters_gamma_ = ( - None - ) - x_326 = x_325.mul(reshape_28) - x_325 = reshape_28 = None - x_327 = x_326 + x_316 - x_326 = x_316 = None - x_328 = torch.conv2d( - x_327, - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_bias_ = (None) - x_329 = x_328.permute(0, 2, 3, 1) - x_328 = None - x_330 = torch.nn.functional.layer_norm( - x_329, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_bias_, - 1e-06, - ) - x_329 = l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_bias_ = (None) - x_331 = torch._C._nn.linear( - x_330, - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_, - ) - x_330 = l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_332 = torch._C._nn.gelu(x_331) - x_331 = None - x_333 = torch.nn.functional.dropout(x_332, 0.0, False, False) - x_332 = None - x_334 = torch._C._nn.linear( - x_333, - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_, - ) - x_333 = l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_335 = torch.nn.functional.dropout(x_334, 0.0, False, False) - x_334 = None - x_336 = x_335.permute(0, 3, 1, 2) - x_335 = None - reshape_29 = l_self_modules_stages_modules_2_modules_blocks_modules_23_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_23_parameters_gamma_ = ( - None - ) - x_337 = x_336.mul(reshape_29) - x_336 = reshape_29 = None - x_338 = x_337 + x_327 - x_337 = x_327 = None - x_339 = torch.conv2d( - x_338, - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_bias_ = (None) - x_340 = x_339.permute(0, 2, 3, 1) - x_339 = None - x_341 = torch.nn.functional.layer_norm( - x_340, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_bias_, - 1e-06, - ) - x_340 = l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_bias_ = (None) - x_342 = torch._C._nn.linear( - x_341, - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_, - ) - x_341 = l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_343 = torch._C._nn.gelu(x_342) - x_342 = None - x_344 = torch.nn.functional.dropout(x_343, 0.0, False, False) - x_343 = None - x_345 = torch._C._nn.linear( - x_344, - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_, - ) - x_344 = l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_346 = torch.nn.functional.dropout(x_345, 0.0, False, False) - x_345 = None - x_347 = x_346.permute(0, 3, 1, 2) - x_346 = None - reshape_30 = l_self_modules_stages_modules_2_modules_blocks_modules_24_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_24_parameters_gamma_ = ( - None - ) - x_348 = x_347.mul(reshape_30) - x_347 = reshape_30 = None - x_349 = x_348 + x_338 - x_348 = x_338 = None - x_350 = torch.conv2d( - x_349, - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_bias_ = (None) - x_351 = x_350.permute(0, 2, 3, 1) - x_350 = None - x_352 = torch.nn.functional.layer_norm( - x_351, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_bias_, - 1e-06, - ) - x_351 = l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_bias_ = (None) - x_353 = torch._C._nn.linear( - x_352, - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_, - ) - x_352 = l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_354 = torch._C._nn.gelu(x_353) - x_353 = None - x_355 = torch.nn.functional.dropout(x_354, 0.0, False, False) - x_354 = None - x_356 = torch._C._nn.linear( - x_355, - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_, - ) - x_355 = l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_357 = torch.nn.functional.dropout(x_356, 0.0, False, False) - x_356 = None - x_358 = x_357.permute(0, 3, 1, 2) - x_357 = None - reshape_31 = l_self_modules_stages_modules_2_modules_blocks_modules_25_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_25_parameters_gamma_ = ( - None - ) - x_359 = x_358.mul(reshape_31) - x_358 = reshape_31 = None - x_360 = x_359 + x_349 - x_359 = x_349 = None - x_361 = torch.conv2d( - x_360, - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 768, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_bias_ = (None) - x_362 = x_361.permute(0, 2, 3, 1) - x_361 = None - x_363 = torch.nn.functional.layer_norm( - x_362, - (768,), - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_bias_, - 1e-06, - ) - x_362 = l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_bias_ = (None) - x_364 = torch._C._nn.linear( - x_363, - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_, - ) - x_363 = l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_365 = torch._C._nn.gelu(x_364) - x_364 = None - x_366 = torch.nn.functional.dropout(x_365, 0.0, False, False) - x_365 = None - x_367 = torch._C._nn.linear( - x_366, - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_, - ) - x_366 = l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_368 = torch.nn.functional.dropout(x_367, 0.0, False, False) - x_367 = None - x_369 = x_368.permute(0, 3, 1, 2) - x_368 = None - reshape_32 = l_self_modules_stages_modules_2_modules_blocks_modules_26_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_26_parameters_gamma_ = ( - None - ) - x_370 = x_369.mul(reshape_32) - x_369 = reshape_32 = None - x_371 = x_370 + x_360 - x_370 = x_360 = None - x_372 = x_371.permute(0, 2, 3, 1) - x_371 = None - x_373 = torch.nn.functional.layer_norm( - x_372, - (768,), - l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_, - l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_, - 1e-06, - ) - x_372 = l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_ = (None) - x_374 = x_373.permute(0, 3, 1, 2) - x_373 = None - input_4 = torch.conv2d( - x_374, - l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_, - l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_374 = l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_ = (None) - x_375 = torch.conv2d( - input_4, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 1536, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) - x_376 = x_375.permute(0, 2, 3, 1) - x_375 = None - x_377 = torch.nn.functional.layer_norm( - x_376, - (1536,), - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_, - 1e-06, - ) - x_376 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_ = (None) - x_378 = torch._C._nn.linear( - x_377, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - ) - x_377 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_379 = torch._C._nn.gelu(x_378) - x_378 = None - x_380 = torch.nn.functional.dropout(x_379, 0.0, False, False) - x_379 = None - x_381 = torch._C._nn.linear( - x_380, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - ) - x_380 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_382 = torch.nn.functional.dropout(x_381, 0.0, False, False) - x_381 = None - x_383 = x_382.permute(0, 3, 1, 2) - x_382 = None - reshape_33 = l_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_ = ( - None - ) - x_384 = x_383.mul(reshape_33) - x_383 = reshape_33 = None - x_385 = x_384 + input_4 - x_384 = input_4 = None - x_386 = torch.conv2d( - x_385, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 1536, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) - x_387 = x_386.permute(0, 2, 3, 1) - x_386 = None - x_388 = torch.nn.functional.layer_norm( - x_387, - (1536,), - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_, - 1e-06, - ) - x_387 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_ = (None) - x_389 = torch._C._nn.linear( - x_388, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - ) - x_388 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_390 = torch._C._nn.gelu(x_389) - x_389 = None - x_391 = torch.nn.functional.dropout(x_390, 0.0, False, False) - x_390 = None - x_392 = torch._C._nn.linear( - x_391, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - ) - x_391 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_393 = torch.nn.functional.dropout(x_392, 0.0, False, False) - x_392 = None - x_394 = x_393.permute(0, 3, 1, 2) - x_393 = None - reshape_34 = l_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_ = ( - None - ) - x_395 = x_394.mul(reshape_34) - x_394 = reshape_34 = None - x_396 = x_395 + x_385 - x_395 = x_385 = None - x_397 = torch.conv2d( - x_396, - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 1536, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = (None) - x_398 = x_397.permute(0, 2, 3, 1) - x_397 = None - x_399 = torch.nn.functional.layer_norm( - x_398, - (1536,), - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_bias_, - 1e-06, - ) - x_398 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_bias_ = (None) - x_400 = torch._C._nn.linear( - x_399, - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_, - ) - x_399 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_401 = torch._C._nn.gelu(x_400) - x_400 = None - x_402 = torch.nn.functional.dropout(x_401, 0.0, False, False) - x_401 = None - x_403 = torch._C._nn.linear( - x_402, - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_, - ) - x_402 = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_404 = torch.nn.functional.dropout(x_403, 0.0, False, False) - x_403 = None - x_405 = x_404.permute(0, 3, 1, 2) - x_404 = None - reshape_35 = l_self_modules_stages_modules_3_modules_blocks_modules_2_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_3_modules_blocks_modules_2_parameters_gamma_ = ( - None - ) - x_406 = x_405.mul(reshape_35) - x_405 = reshape_35 = None - x_407 = x_406 + x_396 - x_406 = x_396 = None - x_408 = torch.nn.functional.adaptive_avg_pool2d(x_407, 1) - x_407 = None - x_409 = x_408.permute(0, 2, 3, 1) - x_408 = None - x_410 = torch.nn.functional.layer_norm( - x_409, - (1536,), - l_self_modules_head_modules_norm_parameters_weight_, - l_self_modules_head_modules_norm_parameters_bias_, - 1e-06, - ) - x_409 = ( - l_self_modules_head_modules_norm_parameters_weight_ - ) = l_self_modules_head_modules_norm_parameters_bias_ = None - x_411 = x_410.permute(0, 3, 1, 2) - x_410 = None - x_412 = x_411.flatten(1, -1) - x_411 = None - input_5 = torch._C._nn.linear( - x_412, - l_self_modules_head_modules_pre_logits_modules_fc_parameters_weight_, - l_self_modules_head_modules_pre_logits_modules_fc_parameters_bias_, - ) - x_412 = ( - l_self_modules_head_modules_pre_logits_modules_fc_parameters_weight_ - ) = l_self_modules_head_modules_pre_logits_modules_fc_parameters_bias_ = None - input_6 = torch._C._nn.gelu(input_5) - input_5 = None - x_413 = torch.nn.functional.dropout(input_6, 0.0, False, False) - input_6 = None - x_414 = torch._C._nn.linear( - x_413, - l_self_modules_head_modules_fc_parameters_weight_, - l_self_modules_head_modules_fc_parameters_bias_, - ) - x_413 = ( - l_self_modules_head_modules_fc_parameters_weight_ - ) = l_self_modules_head_modules_fc_parameters_bias_ = None - return (x_414,) diff --git a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/weight_meta.py b/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/weight_meta.py deleted file mode 100644 index 207e9350e..000000000 --- a/samples/timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k/weight_meta.py +++ /dev/null @@ -1,3490 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_parameters_weight_: - name = "L_self_modules_stem_modules_0_parameters_weight_" - shape = [192, 3, 4, 4] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_parameters_bias_: - name = "L_self_modules_stem_modules_0_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.224 - std = 1.285 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_parameters_weight_: - name = "L_self_modules_stem_modules_1_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_parameters_bias_: - name = "L_self_modules_stem_modules_1_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" - shape = [192, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [768, 192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [192, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" - shape = [192, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [768, 192] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [192, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_weight_" - shape = [192, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_conv_dw_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_norm_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_" - shape = [768, 192] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_" - shape = [192, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_2_parameters_gamma_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_2_parameters_gamma_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_: - name = ( - "L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_" - ) - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_" - shape = [384, 192, 2, 2] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" - shape = [384, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [1536, 384] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [384, 1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" - shape = [384, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [1536, 384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [384, 1536] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_weight_" - shape = [384, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_conv_dw_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_norm_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_" - shape = [1536, 384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_" - shape = [384, 1536] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_2_parameters_gamma_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_2_parameters_gamma_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_: - name = ( - "L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_" - shape = [768, 384, 2, 2] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_" - ) - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_6_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_6_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_7_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_7_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_8_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_8_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_9_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_9_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_10_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_10_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_11_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_11_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_12_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_12_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_13_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_13_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_14_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_14_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_15_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_15_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_16_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_16_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_17_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_17_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_18_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_18_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_18_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_19_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_19_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_19_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_20_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_20_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_20_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_21_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_21_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_21_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_22_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_22_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_22_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_23_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_23_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_23_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_24_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_24_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_24_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_25_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_25_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_25_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_weight_" - shape = [768, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_conv_dw_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc1_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_26_modules_mlp_modules_fc2_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_26_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_26_parameters_gamma_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_: - name = ( - "L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_" - ) - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_" - shape = [1536, 768, 2, 2] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_" - ) - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" - shape = [1536, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [6144, 1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [6144] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [1536, 6144] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" - shape = [1536, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [6144, 1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [6144] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [1536, 6144] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_weight_" - shape = [1536, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_conv_dw_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_weight_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_norm_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_" - shape = [6144, 1536] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_" - shape = [6144] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_" - shape = [1536, 6144] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_2_parameters_gamma_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_2_parameters_gamma_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_norm_parameters_weight_: - name = "L_self_modules_head_modules_norm_parameters_weight_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_norm_parameters_bias_: - name = "L_self_modules_head_modules_norm_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_pre_logits_modules_fc_parameters_weight_: - name = "L_self_modules_head_modules_pre_logits_modules_fc_parameters_weight_" - shape = [1536, 1536] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_pre_logits_modules_fc_parameters_bias_: - name = "L_self_modules_head_modules_pre_logits_modules_fc_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_: - name = "L_self_modules_head_modules_fc_parameters_weight_" - shape = [1000, 1536] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_: - name = "L_self_modules_head_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_hash.txt b/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_hash.txt deleted file mode 100644 index 4631b85af..000000000 --- a/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -6785f96f9d242ce6d3c6b08693e9229b19fb2575597f31950c2ce9f0dfb5ecd2 \ No newline at end of file diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_net.json b/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_net.json deleted file mode 100644 index 5a6dada2f..000000000 --- a/samples/timm/ecaresnet101d_pruned.miil_in1k/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "timm", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/input_meta.py b/samples/timm/ecaresnet101d_pruned.miil_in1k/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet101d_pruned.miil_in1k/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/model.py b/samples/timm/ecaresnet101d_pruned.miil_in1k/model.py deleted file mode 100644 index fdef3cf18..000000000 --- a/samples/timm/ecaresnet101d_pruned.miil_in1k/model.py +++ /dev/null @@ -1,6160 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor, - L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor, - L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_conv1_modules_0_parameters_weight_ = ( - L_self_modules_conv1_modules_0_parameters_weight_ - ) - l_x_ = L_x_ - l_self_modules_conv1_modules_1_buffers_running_mean_ = ( - L_self_modules_conv1_modules_1_buffers_running_mean_ - ) - l_self_modules_conv1_modules_1_buffers_running_var_ = ( - L_self_modules_conv1_modules_1_buffers_running_var_ - ) - l_self_modules_conv1_modules_1_parameters_weight_ = ( - L_self_modules_conv1_modules_1_parameters_weight_ - ) - l_self_modules_conv1_modules_1_parameters_bias_ = ( - L_self_modules_conv1_modules_1_parameters_bias_ - ) - l_self_modules_conv1_modules_3_parameters_weight_ = ( - L_self_modules_conv1_modules_3_parameters_weight_ - ) - l_self_modules_conv1_modules_4_buffers_running_mean_ = ( - L_self_modules_conv1_modules_4_buffers_running_mean_ - ) - l_self_modules_conv1_modules_4_buffers_running_var_ = ( - L_self_modules_conv1_modules_4_buffers_running_var_ - ) - l_self_modules_conv1_modules_4_parameters_weight_ = ( - L_self_modules_conv1_modules_4_parameters_weight_ - ) - l_self_modules_conv1_modules_4_parameters_bias_ = ( - L_self_modules_conv1_modules_4_parameters_bias_ - ) - l_self_modules_conv1_modules_6_parameters_weight_ = ( - L_self_modules_conv1_modules_6_parameters_weight_ - ) - l_self_modules_bn1_buffers_running_mean_ = ( - L_self_modules_bn1_buffers_running_mean_ - ) - l_self_modules_bn1_buffers_running_var_ = ( - L_self_modules_bn1_buffers_running_var_ - ) - l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_ - l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_ - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ - l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - input_1 = torch.conv2d( - l_x_, - l_self_modules_conv1_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None - input_2 = torch.nn.functional.batch_norm( - input_1, - l_self_modules_conv1_modules_1_buffers_running_mean_, - l_self_modules_conv1_modules_1_buffers_running_var_, - l_self_modules_conv1_modules_1_parameters_weight_, - l_self_modules_conv1_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_1 = ( - l_self_modules_conv1_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_conv1_modules_1_buffers_running_var_ - ) = ( - l_self_modules_conv1_modules_1_parameters_weight_ - ) = l_self_modules_conv1_modules_1_parameters_bias_ = None - input_3 = torch.nn.functional.relu(input_2, inplace=True) - input_2 = None - input_4 = torch.conv2d( - input_3, - l_self_modules_conv1_modules_3_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None - input_5 = torch.nn.functional.batch_norm( - input_4, - l_self_modules_conv1_modules_4_buffers_running_mean_, - l_self_modules_conv1_modules_4_buffers_running_var_, - l_self_modules_conv1_modules_4_parameters_weight_, - l_self_modules_conv1_modules_4_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_4 = ( - l_self_modules_conv1_modules_4_buffers_running_mean_ - ) = ( - l_self_modules_conv1_modules_4_buffers_running_var_ - ) = ( - l_self_modules_conv1_modules_4_parameters_weight_ - ) = l_self_modules_conv1_modules_4_parameters_bias_ = None - input_6 = torch.nn.functional.relu(input_5, inplace=True) - input_5 = None - input_7 = torch.conv2d( - input_6, - l_self_modules_conv1_modules_6_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None - x = torch.nn.functional.batch_norm( - input_7, - l_self_modules_bn1_buffers_running_mean_, - l_self_modules_bn1_buffers_running_var_, - l_self_modules_bn1_parameters_weight_, - l_self_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_7 = ( - l_self_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_bn1_parameters_weight_ - ) = l_self_modules_bn1_parameters_bias_ = None - x_1 = torch.nn.functional.relu(x, inplace=True) - x = None - x_2 = torch.nn.functional.max_pool2d( - x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False - ) - x_1 = None - x_3 = torch.conv2d( - x_2, - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None - x_4 = torch.nn.functional.batch_norm( - x_3, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_3 = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None - x_5 = torch.nn.functional.relu(x_4, inplace=True) - x_4 = None - x_6 = torch.conv2d( - x_5, - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None - x_7 = torch.nn.functional.batch_norm( - x_6, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_6 = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None - x_8 = torch.nn.functional.relu(x_7, inplace=True) - x_7 = None - x_9 = torch.conv2d( - x_8, - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None - x_10 = torch.nn.functional.batch_norm( - x_9, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_9 = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None - mean = x_10.mean((2, 3)) - sym_sum = torch.sym_sum([-1, s1]) - s1 = None - floordiv = sym_sum // 4 - sym_sum_1 = torch.sym_sum([1, floordiv]) - floordiv = sym_sum_1 = None - y = mean.view(1, 1, -1) - mean = None - y_1 = torch.conv1d( - y, - l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y = ( - l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid = y_1.sigmoid() - y_1 = None - y_2 = sigmoid.view(1, -1, 1, 1) - sigmoid = None - expand_as = y_2.expand_as(x_10) - y_2 = None - x_11 = x_10 * expand_as - x_10 = expand_as = None - input_8 = torch.conv2d( - x_2, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_9 = torch.nn.functional.batch_norm( - input_8, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_11 += input_9 - x_12 = x_11 - x_11 = input_9 = None - x_13 = torch.nn.functional.relu(x_12, inplace=True) - x_12 = None - x_14 = torch.conv2d( - x_13, - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None - x_15 = torch.nn.functional.batch_norm( - x_14, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_14 = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None - x_16 = torch.nn.functional.relu(x_15, inplace=True) - x_15 = None - x_17 = torch.conv2d( - x_16, - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None - x_18 = torch.nn.functional.batch_norm( - x_17, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_17 = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None - x_19 = torch.nn.functional.relu(x_18, inplace=True) - x_18 = None - x_20 = torch.conv2d( - x_19, - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None - x_21 = torch.nn.functional.batch_norm( - x_20, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_20 = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None - mean_1 = x_21.mean((2, 3)) - y_3 = mean_1.view(1, 1, -1) - mean_1 = None - y_4 = torch.conv1d( - y_3, - l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_3 = ( - l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_1 = y_4.sigmoid() - y_4 = None - y_5 = sigmoid_1.view(1, -1, 1, 1) - sigmoid_1 = None - expand_as_1 = y_5.expand_as(x_21) - y_5 = None - x_22 = x_21 * expand_as_1 - x_21 = expand_as_1 = None - x_22 += x_13 - x_23 = x_22 - x_22 = x_13 = None - x_24 = torch.nn.functional.relu(x_23, inplace=True) - x_23 = None - x_25 = torch.conv2d( - x_24, - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None - x_26 = torch.nn.functional.batch_norm( - x_25, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_25 = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None - x_27 = torch.nn.functional.relu(x_26, inplace=True) - x_26 = None - x_28 = torch.conv2d( - x_27, - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_27 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None - x_29 = torch.nn.functional.batch_norm( - x_28, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_28 = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None - x_30 = torch.nn.functional.relu(x_29, inplace=True) - x_29 = None - x_31 = torch.conv2d( - x_30, - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_30 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None - x_32 = torch.nn.functional.batch_norm( - x_31, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_31 = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None - mean_2 = x_32.mean((2, 3)) - y_6 = mean_2.view(1, 1, -1) - mean_2 = None - y_7 = torch.conv1d( - y_6, - l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_6 = ( - l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_2 = y_7.sigmoid() - y_7 = None - y_8 = sigmoid_2.view(1, -1, 1, 1) - sigmoid_2 = None - expand_as_2 = y_8.expand_as(x_32) - y_8 = None - x_33 = x_32 * expand_as_2 - x_32 = expand_as_2 = None - x_33 += x_24 - x_34 = x_33 - x_33 = x_24 = None - x_35 = torch.nn.functional.relu(x_34, inplace=True) - x_34 = None - x_36 = torch.conv2d( - x_35, - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None - x_37 = torch.nn.functional.batch_norm( - x_36, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_36 = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None - x_38 = torch.nn.functional.relu(x_37, inplace=True) - x_37 = None - x_39 = torch.conv2d( - x_38, - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - x_38 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None - x_40 = torch.nn.functional.batch_norm( - x_39, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_39 = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None - x_41 = torch.nn.functional.relu(x_40, inplace=True) - x_40 = None - x_42 = torch.conv2d( - x_41, - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_41 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None - x_43 = torch.nn.functional.batch_norm( - x_42, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_42 = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None - mean_3 = x_43.mean((2, 3)) - floordiv_1 = sym_sum // 8 - sym_sum_2 = torch.sym_sum([1, floordiv_1]) - floordiv_1 = sym_sum_2 = None - y_9 = mean_3.view(1, 1, -1) - mean_3 = None - y_10 = torch.conv1d( - y_9, - l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_9 = ( - l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_3 = y_10.sigmoid() - y_10 = None - y_11 = sigmoid_3.view(1, -1, 1, 1) - sigmoid_3 = None - expand_as_3 = y_11.expand_as(x_43) - y_11 = None - x_44 = x_43 * expand_as_3 - x_43 = expand_as_3 = None - input_10 = torch._C._nn.avg_pool2d(x_35, 2, 2, 0, True, False, None) - x_35 = None - input_11 = torch.conv2d( - input_10, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_12 = torch.nn.functional.batch_norm( - input_11, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_44 += input_12 - x_45 = x_44 - x_44 = input_12 = None - x_46 = torch.nn.functional.relu(x_45, inplace=True) - x_45 = None - x_47 = torch.conv2d( - x_46, - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None - x_48 = torch.nn.functional.batch_norm( - x_47, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_47 = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None - x_49 = torch.nn.functional.relu(x_48, inplace=True) - x_48 = None - x_50 = torch.conv2d( - x_49, - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_49 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None - x_51 = torch.nn.functional.batch_norm( - x_50, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_50 = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None - x_52 = torch.nn.functional.relu(x_51, inplace=True) - x_51 = None - x_53 = torch.conv2d( - x_52, - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_52 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None - x_54 = torch.nn.functional.batch_norm( - x_53, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_53 = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None - mean_4 = x_54.mean((2, 3)) - y_12 = mean_4.view(1, 1, -1) - mean_4 = None - y_13 = torch.conv1d( - y_12, - l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_12 = ( - l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_4 = y_13.sigmoid() - y_13 = None - y_14 = sigmoid_4.view(1, -1, 1, 1) - sigmoid_4 = None - expand_as_4 = y_14.expand_as(x_54) - y_14 = None - x_55 = x_54 * expand_as_4 - x_54 = expand_as_4 = None - x_55 += x_46 - x_56 = x_55 - x_55 = x_46 = None - x_57 = torch.nn.functional.relu(x_56, inplace=True) - x_56 = None - x_58 = torch.conv2d( - x_57, - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None - x_59 = torch.nn.functional.batch_norm( - x_58, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_58 = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None - x_60 = torch.nn.functional.relu(x_59, inplace=True) - x_59 = None - x_61 = torch.conv2d( - x_60, - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_60 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None - x_62 = torch.nn.functional.batch_norm( - x_61, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_61 = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None - x_63 = torch.nn.functional.relu(x_62, inplace=True) - x_62 = None - x_64 = torch.conv2d( - x_63, - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_63 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None - x_65 = torch.nn.functional.batch_norm( - x_64, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_64 = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None - mean_5 = x_65.mean((2, 3)) - y_15 = mean_5.view(1, 1, -1) - mean_5 = None - y_16 = torch.conv1d( - y_15, - l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_15 = ( - l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_5 = y_16.sigmoid() - y_16 = None - y_17 = sigmoid_5.view(1, -1, 1, 1) - sigmoid_5 = None - expand_as_5 = y_17.expand_as(x_65) - y_17 = None - x_66 = x_65 * expand_as_5 - x_65 = expand_as_5 = None - x_66 += x_57 - x_67 = x_66 - x_66 = x_57 = None - x_68 = torch.nn.functional.relu(x_67, inplace=True) - x_67 = None - x_69 = torch.conv2d( - x_68, - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None - x_70 = torch.nn.functional.batch_norm( - x_69, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_69 = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None - x_71 = torch.nn.functional.relu(x_70, inplace=True) - x_70 = None - x_72 = torch.conv2d( - x_71, - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_71 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None - x_73 = torch.nn.functional.batch_norm( - x_72, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_72 = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None - x_74 = torch.nn.functional.relu(x_73, inplace=True) - x_73 = None - x_75 = torch.conv2d( - x_74, - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_74 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None - x_76 = torch.nn.functional.batch_norm( - x_75, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_75 = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None - mean_6 = x_76.mean((2, 3)) - y_18 = mean_6.view(1, 1, -1) - mean_6 = None - y_19 = torch.conv1d( - y_18, - l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_18 = ( - l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_6 = y_19.sigmoid() - y_19 = None - y_20 = sigmoid_6.view(1, -1, 1, 1) - sigmoid_6 = None - expand_as_6 = y_20.expand_as(x_76) - y_20 = None - x_77 = x_76 * expand_as_6 - x_76 = expand_as_6 = None - x_77 += x_68 - x_78 = x_77 - x_77 = x_68 = None - x_79 = torch.nn.functional.relu(x_78, inplace=True) - x_78 = None - x_80 = torch.conv2d( - x_79, - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None - x_81 = torch.nn.functional.batch_norm( - x_80, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_80 = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None - x_82 = torch.nn.functional.relu(x_81, inplace=True) - x_81 = None - x_83 = torch.conv2d( - x_82, - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - x_82 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None - x_84 = torch.nn.functional.batch_norm( - x_83, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_83 = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None - x_85 = torch.nn.functional.relu(x_84, inplace=True) - x_84 = None - x_86 = torch.conv2d( - x_85, - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_85 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None - x_87 = torch.nn.functional.batch_norm( - x_86, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_86 = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None - mean_7 = x_87.mean((2, 3)) - floordiv_2 = sym_sum // 16 - sym_sum_3 = torch.sym_sum([1, floordiv_2]) - floordiv_2 = sym_sum_3 = None - y_21 = mean_7.view(1, 1, -1) - mean_7 = None - y_22 = torch.conv1d( - y_21, - l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_21 = ( - l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_7 = y_22.sigmoid() - y_22 = None - y_23 = sigmoid_7.view(1, -1, 1, 1) - sigmoid_7 = None - expand_as_7 = y_23.expand_as(x_87) - y_23 = None - x_88 = x_87 * expand_as_7 - x_87 = expand_as_7 = None - input_13 = torch._C._nn.avg_pool2d(x_79, 2, 2, 0, True, False, None) - x_79 = None - input_14 = torch.conv2d( - input_13, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_15 = torch.nn.functional.batch_norm( - input_14, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_88 += input_15 - x_89 = x_88 - x_88 = input_15 = None - x_90 = torch.nn.functional.relu(x_89, inplace=True) - x_89 = None - x_91 = torch.conv2d( - x_90, - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None - x_92 = torch.nn.functional.batch_norm( - x_91, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_91 = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None - x_93 = torch.nn.functional.relu(x_92, inplace=True) - x_92 = None - x_94 = torch.conv2d( - x_93, - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_93 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None - x_95 = torch.nn.functional.batch_norm( - x_94, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_94 = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None - x_96 = torch.nn.functional.relu(x_95, inplace=True) - x_95 = None - x_97 = torch.conv2d( - x_96, - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_96 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None - x_98 = torch.nn.functional.batch_norm( - x_97, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_97 = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None - mean_8 = x_98.mean((2, 3)) - y_24 = mean_8.view(1, 1, -1) - mean_8 = None - y_25 = torch.conv1d( - y_24, - l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_24 = ( - l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_8 = y_25.sigmoid() - y_25 = None - y_26 = sigmoid_8.view(1, -1, 1, 1) - sigmoid_8 = None - expand_as_8 = y_26.expand_as(x_98) - y_26 = None - x_99 = x_98 * expand_as_8 - x_98 = expand_as_8 = None - x_99 += x_90 - x_100 = x_99 - x_99 = x_90 = None - x_101 = torch.nn.functional.relu(x_100, inplace=True) - x_100 = None - x_102 = torch.conv2d( - x_101, - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None - x_103 = torch.nn.functional.batch_norm( - x_102, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_102 = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None - x_104 = torch.nn.functional.relu(x_103, inplace=True) - x_103 = None - x_105 = torch.conv2d( - x_104, - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_104 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None - x_106 = torch.nn.functional.batch_norm( - x_105, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_105 = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None - x_107 = torch.nn.functional.relu(x_106, inplace=True) - x_106 = None - x_108 = torch.conv2d( - x_107, - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_107 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None - x_109 = torch.nn.functional.batch_norm( - x_108, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_108 = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None - mean_9 = x_109.mean((2, 3)) - y_27 = mean_9.view(1, 1, -1) - mean_9 = None - y_28 = torch.conv1d( - y_27, - l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_27 = ( - l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_9 = y_28.sigmoid() - y_28 = None - y_29 = sigmoid_9.view(1, -1, 1, 1) - sigmoid_9 = None - expand_as_9 = y_29.expand_as(x_109) - y_29 = None - x_110 = x_109 * expand_as_9 - x_109 = expand_as_9 = None - x_110 += x_101 - x_111 = x_110 - x_110 = x_101 = None - x_112 = torch.nn.functional.relu(x_111, inplace=True) - x_111 = None - x_113 = torch.conv2d( - x_112, - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None - x_114 = torch.nn.functional.batch_norm( - x_113, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_113 = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None - x_115 = torch.nn.functional.relu(x_114, inplace=True) - x_114 = None - x_116 = torch.conv2d( - x_115, - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_115 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None - x_117 = torch.nn.functional.batch_norm( - x_116, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_116 = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None - x_118 = torch.nn.functional.relu(x_117, inplace=True) - x_117 = None - x_119 = torch.conv2d( - x_118, - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_118 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None - x_120 = torch.nn.functional.batch_norm( - x_119, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_119 = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None - mean_10 = x_120.mean((2, 3)) - y_30 = mean_10.view(1, 1, -1) - mean_10 = None - y_31 = torch.conv1d( - y_30, - l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_30 = ( - l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_10 = y_31.sigmoid() - y_31 = None - y_32 = sigmoid_10.view(1, -1, 1, 1) - sigmoid_10 = None - expand_as_10 = y_32.expand_as(x_120) - y_32 = None - x_121 = x_120 * expand_as_10 - x_120 = expand_as_10 = None - x_121 += x_112 - x_122 = x_121 - x_121 = x_112 = None - x_123 = torch.nn.functional.relu(x_122, inplace=True) - x_122 = None - x_124 = torch.conv2d( - x_123, - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None - x_125 = torch.nn.functional.batch_norm( - x_124, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_124 = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None - x_126 = torch.nn.functional.relu(x_125, inplace=True) - x_125 = None - x_127 = torch.conv2d( - x_126, - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_126 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None - x_128 = torch.nn.functional.batch_norm( - x_127, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_127 = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None - x_129 = torch.nn.functional.relu(x_128, inplace=True) - x_128 = None - x_130 = torch.conv2d( - x_129, - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_129 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None - x_131 = torch.nn.functional.batch_norm( - x_130, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_130 = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None - mean_11 = x_131.mean((2, 3)) - y_33 = mean_11.view(1, 1, -1) - mean_11 = None - y_34 = torch.conv1d( - y_33, - l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_33 = ( - l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_11 = y_34.sigmoid() - y_34 = None - y_35 = sigmoid_11.view(1, -1, 1, 1) - sigmoid_11 = None - expand_as_11 = y_35.expand_as(x_131) - y_35 = None - x_132 = x_131 * expand_as_11 - x_131 = expand_as_11 = None - x_132 += x_123 - x_133 = x_132 - x_132 = x_123 = None - x_134 = torch.nn.functional.relu(x_133, inplace=True) - x_133 = None - x_135 = torch.conv2d( - x_134, - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None - x_136 = torch.nn.functional.batch_norm( - x_135, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_135 = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None - x_137 = torch.nn.functional.relu(x_136, inplace=True) - x_136 = None - x_138 = torch.conv2d( - x_137, - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_137 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None - x_139 = torch.nn.functional.batch_norm( - x_138, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_138 = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None - x_140 = torch.nn.functional.relu(x_139, inplace=True) - x_139 = None - x_141 = torch.conv2d( - x_140, - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_140 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None - x_142 = torch.nn.functional.batch_norm( - x_141, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_141 = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None - mean_12 = x_142.mean((2, 3)) - y_36 = mean_12.view(1, 1, -1) - mean_12 = None - y_37 = torch.conv1d( - y_36, - l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_36 = ( - l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_12 = y_37.sigmoid() - y_37 = None - y_38 = sigmoid_12.view(1, -1, 1, 1) - sigmoid_12 = None - expand_as_12 = y_38.expand_as(x_142) - y_38 = None - x_143 = x_142 * expand_as_12 - x_142 = expand_as_12 = None - x_143 += x_134 - x_144 = x_143 - x_143 = x_134 = None - x_145 = torch.nn.functional.relu(x_144, inplace=True) - x_144 = None - x_146 = torch.conv2d( - x_145, - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = None - x_147 = torch.nn.functional.batch_norm( - x_146, - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_146 = ( - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = None - x_148 = torch.nn.functional.relu(x_147, inplace=True) - x_147 = None - x_149 = torch.conv2d( - x_148, - l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_148 = l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = None - x_150 = torch.nn.functional.batch_norm( - x_149, - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_149 = ( - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = None - x_151 = torch.nn.functional.relu(x_150, inplace=True) - x_150 = None - x_152 = torch.conv2d( - x_151, - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_151 = l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = None - x_153 = torch.nn.functional.batch_norm( - x_152, - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_152 = ( - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = None - mean_13 = x_153.mean((2, 3)) - y_39 = mean_13.view(1, 1, -1) - mean_13 = None - y_40 = torch.conv1d( - y_39, - l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_39 = ( - l_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_13 = y_40.sigmoid() - y_40 = None - y_41 = sigmoid_13.view(1, -1, 1, 1) - sigmoid_13 = None - expand_as_13 = y_41.expand_as(x_153) - y_41 = None - x_154 = x_153 * expand_as_13 - x_153 = expand_as_13 = None - x_154 += x_145 - x_155 = x_154 - x_154 = x_145 = None - x_156 = torch.nn.functional.relu(x_155, inplace=True) - x_155 = None - x_157 = torch.conv2d( - x_156, - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = None - x_158 = torch.nn.functional.batch_norm( - x_157, - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_157 = ( - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = None - x_159 = torch.nn.functional.relu(x_158, inplace=True) - x_158 = None - x_160 = torch.conv2d( - x_159, - l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_159 = l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = None - x_161 = torch.nn.functional.batch_norm( - x_160, - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_160 = ( - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = None - x_162 = torch.nn.functional.relu(x_161, inplace=True) - x_161 = None - x_163 = torch.conv2d( - x_162, - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_162 = l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = None - x_164 = torch.nn.functional.batch_norm( - x_163, - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_163 = ( - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = None - mean_14 = x_164.mean((2, 3)) - y_42 = mean_14.view(1, 1, -1) - mean_14 = None - y_43 = torch.conv1d( - y_42, - l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_42 = ( - l_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_14 = y_43.sigmoid() - y_43 = None - y_44 = sigmoid_14.view(1, -1, 1, 1) - sigmoid_14 = None - expand_as_14 = y_44.expand_as(x_164) - y_44 = None - x_165 = x_164 * expand_as_14 - x_164 = expand_as_14 = None - x_165 += x_156 - x_166 = x_165 - x_165 = x_156 = None - x_167 = torch.nn.functional.relu(x_166, inplace=True) - x_166 = None - x_168 = torch.conv2d( - x_167, - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = None - x_169 = torch.nn.functional.batch_norm( - x_168, - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_168 = ( - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = None - x_170 = torch.nn.functional.relu(x_169, inplace=True) - x_169 = None - x_171 = torch.conv2d( - x_170, - l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_170 = l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = None - x_172 = torch.nn.functional.batch_norm( - x_171, - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_171 = ( - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = None - x_173 = torch.nn.functional.relu(x_172, inplace=True) - x_172 = None - x_174 = torch.conv2d( - x_173, - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_173 = l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = None - x_175 = torch.nn.functional.batch_norm( - x_174, - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_174 = ( - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = None - mean_15 = x_175.mean((2, 3)) - y_45 = mean_15.view(1, 1, -1) - mean_15 = None - y_46 = torch.conv1d( - y_45, - l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_45 = ( - l_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_15 = y_46.sigmoid() - y_46 = None - y_47 = sigmoid_15.view(1, -1, 1, 1) - sigmoid_15 = None - expand_as_15 = y_47.expand_as(x_175) - y_47 = None - x_176 = x_175 * expand_as_15 - x_175 = expand_as_15 = None - x_176 += x_167 - x_177 = x_176 - x_176 = x_167 = None - x_178 = torch.nn.functional.relu(x_177, inplace=True) - x_177 = None - x_179 = torch.conv2d( - x_178, - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = None - x_180 = torch.nn.functional.batch_norm( - x_179, - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_179 = ( - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = None - x_181 = torch.nn.functional.relu(x_180, inplace=True) - x_180 = None - x_182 = torch.conv2d( - x_181, - l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_181 = l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = None - x_183 = torch.nn.functional.batch_norm( - x_182, - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_182 = ( - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = None - x_184 = torch.nn.functional.relu(x_183, inplace=True) - x_183 = None - x_185 = torch.conv2d( - x_184, - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_184 = l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = None - x_186 = torch.nn.functional.batch_norm( - x_185, - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_185 = ( - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = None - mean_16 = x_186.mean((2, 3)) - y_48 = mean_16.view(1, 1, -1) - mean_16 = None - y_49 = torch.conv1d( - y_48, - l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_48 = ( - l_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_16 = y_49.sigmoid() - y_49 = None - y_50 = sigmoid_16.view(1, -1, 1, 1) - sigmoid_16 = None - expand_as_16 = y_50.expand_as(x_186) - y_50 = None - x_187 = x_186 * expand_as_16 - x_186 = expand_as_16 = None - x_187 += x_178 - x_188 = x_187 - x_187 = x_178 = None - x_189 = torch.nn.functional.relu(x_188, inplace=True) - x_188 = None - x_190 = torch.conv2d( - x_189, - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = None - x_191 = torch.nn.functional.batch_norm( - x_190, - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_190 = ( - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = None - x_192 = torch.nn.functional.relu(x_191, inplace=True) - x_191 = None - x_193 = torch.conv2d( - x_192, - l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_192 = l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = None - x_194 = torch.nn.functional.batch_norm( - x_193, - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_193 = ( - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = None - x_195 = torch.nn.functional.relu(x_194, inplace=True) - x_194 = None - x_196 = torch.conv2d( - x_195, - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_195 = l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = None - x_197 = torch.nn.functional.batch_norm( - x_196, - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_196 = ( - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = None - mean_17 = x_197.mean((2, 3)) - y_51 = mean_17.view(1, 1, -1) - mean_17 = None - y_52 = torch.conv1d( - y_51, - l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_51 = ( - l_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_17 = y_52.sigmoid() - y_52 = None - y_53 = sigmoid_17.view(1, -1, 1, 1) - sigmoid_17 = None - expand_as_17 = y_53.expand_as(x_197) - y_53 = None - x_198 = x_197 * expand_as_17 - x_197 = expand_as_17 = None - x_198 += x_189 - x_199 = x_198 - x_198 = x_189 = None - x_200 = torch.nn.functional.relu(x_199, inplace=True) - x_199 = None - x_201 = torch.conv2d( - x_200, - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = None - x_202 = torch.nn.functional.batch_norm( - x_201, - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_201 = ( - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = None - x_203 = torch.nn.functional.relu(x_202, inplace=True) - x_202 = None - x_204 = torch.conv2d( - x_203, - l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_203 = l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ = None - x_205 = torch.nn.functional.batch_norm( - x_204, - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_204 = ( - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = None - x_206 = torch.nn.functional.relu(x_205, inplace=True) - x_205 = None - x_207 = torch.conv2d( - x_206, - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_206 = l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = None - x_208 = torch.nn.functional.batch_norm( - x_207, - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_207 = ( - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = None - mean_18 = x_208.mean((2, 3)) - y_54 = mean_18.view(1, 1, -1) - mean_18 = None - y_55 = torch.conv1d( - y_54, - l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_54 = ( - l_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_18 = y_55.sigmoid() - y_55 = None - y_56 = sigmoid_18.view(1, -1, 1, 1) - sigmoid_18 = None - expand_as_18 = y_56.expand_as(x_208) - y_56 = None - x_209 = x_208 * expand_as_18 - x_208 = expand_as_18 = None - x_209 += x_200 - x_210 = x_209 - x_209 = x_200 = None - x_211 = torch.nn.functional.relu(x_210, inplace=True) - x_210 = None - x_212 = torch.conv2d( - x_211, - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = None - x_213 = torch.nn.functional.batch_norm( - x_212, - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_212 = ( - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = None - x_214 = torch.nn.functional.relu(x_213, inplace=True) - x_213 = None - x_215 = torch.conv2d( - x_214, - l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_214 = l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ = None - x_216 = torch.nn.functional.batch_norm( - x_215, - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_215 = ( - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = None - x_217 = torch.nn.functional.relu(x_216, inplace=True) - x_216 = None - x_218 = torch.conv2d( - x_217, - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_217 = l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = None - x_219 = torch.nn.functional.batch_norm( - x_218, - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_218 = ( - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = None - mean_19 = x_219.mean((2, 3)) - y_57 = mean_19.view(1, 1, -1) - mean_19 = None - y_58 = torch.conv1d( - y_57, - l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_57 = ( - l_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_19 = y_58.sigmoid() - y_58 = None - y_59 = sigmoid_19.view(1, -1, 1, 1) - sigmoid_19 = None - expand_as_19 = y_59.expand_as(x_219) - y_59 = None - x_220 = x_219 * expand_as_19 - x_219 = expand_as_19 = None - x_220 += x_211 - x_221 = x_220 - x_220 = x_211 = None - x_222 = torch.nn.functional.relu(x_221, inplace=True) - x_221 = None - x_223 = torch.conv2d( - x_222, - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = None - x_224 = torch.nn.functional.batch_norm( - x_223, - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_223 = ( - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = None - x_225 = torch.nn.functional.relu(x_224, inplace=True) - x_224 = None - x_226 = torch.conv2d( - x_225, - l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_225 = l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ = None - x_227 = torch.nn.functional.batch_norm( - x_226, - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_226 = ( - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = None - x_228 = torch.nn.functional.relu(x_227, inplace=True) - x_227 = None - x_229 = torch.conv2d( - x_228, - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_228 = l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = None - x_230 = torch.nn.functional.batch_norm( - x_229, - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_229 = ( - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = None - mean_20 = x_230.mean((2, 3)) - y_60 = mean_20.view(1, 1, -1) - mean_20 = None - y_61 = torch.conv1d( - y_60, - l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_60 = ( - l_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_20 = y_61.sigmoid() - y_61 = None - y_62 = sigmoid_20.view(1, -1, 1, 1) - sigmoid_20 = None - expand_as_20 = y_62.expand_as(x_230) - y_62 = None - x_231 = x_230 * expand_as_20 - x_230 = expand_as_20 = None - x_231 += x_222 - x_232 = x_231 - x_231 = x_222 = None - x_233 = torch.nn.functional.relu(x_232, inplace=True) - x_232 = None - x_234 = torch.conv2d( - x_233, - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = None - x_235 = torch.nn.functional.batch_norm( - x_234, - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_234 = ( - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = None - x_236 = torch.nn.functional.relu(x_235, inplace=True) - x_235 = None - x_237 = torch.conv2d( - x_236, - l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_236 = l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ = None - x_238 = torch.nn.functional.batch_norm( - x_237, - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_237 = ( - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = None - x_239 = torch.nn.functional.relu(x_238, inplace=True) - x_238 = None - x_240 = torch.conv2d( - x_239, - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_239 = l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = None - x_241 = torch.nn.functional.batch_norm( - x_240, - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_240 = ( - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = None - mean_21 = x_241.mean((2, 3)) - y_63 = mean_21.view(1, 1, -1) - mean_21 = None - y_64 = torch.conv1d( - y_63, - l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_63 = ( - l_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_21 = y_64.sigmoid() - y_64 = None - y_65 = sigmoid_21.view(1, -1, 1, 1) - sigmoid_21 = None - expand_as_21 = y_65.expand_as(x_241) - y_65 = None - x_242 = x_241 * expand_as_21 - x_241 = expand_as_21 = None - x_242 += x_233 - x_243 = x_242 - x_242 = x_233 = None - x_244 = torch.nn.functional.relu(x_243, inplace=True) - x_243 = None - x_245 = torch.conv2d( - x_244, - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = None - x_246 = torch.nn.functional.batch_norm( - x_245, - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_245 = ( - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = None - x_247 = torch.nn.functional.relu(x_246, inplace=True) - x_246 = None - x_248 = torch.conv2d( - x_247, - l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_247 = l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ = None - x_249 = torch.nn.functional.batch_norm( - x_248, - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_248 = ( - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = None - x_250 = torch.nn.functional.relu(x_249, inplace=True) - x_249 = None - x_251 = torch.conv2d( - x_250, - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_250 = l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = None - x_252 = torch.nn.functional.batch_norm( - x_251, - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_251 = ( - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = None - mean_22 = x_252.mean((2, 3)) - y_66 = mean_22.view(1, 1, -1) - mean_22 = None - y_67 = torch.conv1d( - y_66, - l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_66 = ( - l_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_22 = y_67.sigmoid() - y_67 = None - y_68 = sigmoid_22.view(1, -1, 1, 1) - sigmoid_22 = None - expand_as_22 = y_68.expand_as(x_252) - y_68 = None - x_253 = x_252 * expand_as_22 - x_252 = expand_as_22 = None - x_253 += x_244 - x_254 = x_253 - x_253 = x_244 = None - x_255 = torch.nn.functional.relu(x_254, inplace=True) - x_254 = None - x_256 = torch.conv2d( - x_255, - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = None - x_257 = torch.nn.functional.batch_norm( - x_256, - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_256 = ( - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = None - x_258 = torch.nn.functional.relu(x_257, inplace=True) - x_257 = None - x_259 = torch.conv2d( - x_258, - l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_258 = l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ = None - x_260 = torch.nn.functional.batch_norm( - x_259, - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_259 = ( - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = None - x_261 = torch.nn.functional.relu(x_260, inplace=True) - x_260 = None - x_262 = torch.conv2d( - x_261, - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_261 = l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = None - x_263 = torch.nn.functional.batch_norm( - x_262, - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_262 = ( - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = None - mean_23 = x_263.mean((2, 3)) - y_69 = mean_23.view(1, 1, -1) - mean_23 = None - y_70 = torch.conv1d( - y_69, - l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_69 = ( - l_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_23 = y_70.sigmoid() - y_70 = None - y_71 = sigmoid_23.view(1, -1, 1, 1) - sigmoid_23 = None - expand_as_23 = y_71.expand_as(x_263) - y_71 = None - x_264 = x_263 * expand_as_23 - x_263 = expand_as_23 = None - x_264 += x_255 - x_265 = x_264 - x_264 = x_255 = None - x_266 = torch.nn.functional.relu(x_265, inplace=True) - x_265 = None - x_267 = torch.conv2d( - x_266, - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = None - x_268 = torch.nn.functional.batch_norm( - x_267, - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_267 = ( - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = None - x_269 = torch.nn.functional.relu(x_268, inplace=True) - x_268 = None - x_270 = torch.conv2d( - x_269, - l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_269 = l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ = None - x_271 = torch.nn.functional.batch_norm( - x_270, - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_270 = ( - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = None - x_272 = torch.nn.functional.relu(x_271, inplace=True) - x_271 = None - x_273 = torch.conv2d( - x_272, - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_272 = l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = None - x_274 = torch.nn.functional.batch_norm( - x_273, - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_273 = ( - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = None - mean_24 = x_274.mean((2, 3)) - y_72 = mean_24.view(1, 1, -1) - mean_24 = None - y_73 = torch.conv1d( - y_72, - l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_72 = ( - l_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_24 = y_73.sigmoid() - y_73 = None - y_74 = sigmoid_24.view(1, -1, 1, 1) - sigmoid_24 = None - expand_as_24 = y_74.expand_as(x_274) - y_74 = None - x_275 = x_274 * expand_as_24 - x_274 = expand_as_24 = None - x_275 += x_266 - x_276 = x_275 - x_275 = x_266 = None - x_277 = torch.nn.functional.relu(x_276, inplace=True) - x_276 = None - x_278 = torch.conv2d( - x_277, - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = None - x_279 = torch.nn.functional.batch_norm( - x_278, - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_278 = ( - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = None - x_280 = torch.nn.functional.relu(x_279, inplace=True) - x_279 = None - x_281 = torch.conv2d( - x_280, - l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_280 = l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ = None - x_282 = torch.nn.functional.batch_norm( - x_281, - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_281 = ( - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = None - x_283 = torch.nn.functional.relu(x_282, inplace=True) - x_282 = None - x_284 = torch.conv2d( - x_283, - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_283 = l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = None - x_285 = torch.nn.functional.batch_norm( - x_284, - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_284 = ( - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = None - mean_25 = x_285.mean((2, 3)) - y_75 = mean_25.view(1, 1, -1) - mean_25 = None - y_76 = torch.conv1d( - y_75, - l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_75 = ( - l_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_25 = y_76.sigmoid() - y_76 = None - y_77 = sigmoid_25.view(1, -1, 1, 1) - sigmoid_25 = None - expand_as_25 = y_77.expand_as(x_285) - y_77 = None - x_286 = x_285 * expand_as_25 - x_285 = expand_as_25 = None - x_286 += x_277 - x_287 = x_286 - x_286 = x_277 = None - x_288 = torch.nn.functional.relu(x_287, inplace=True) - x_287 = None - x_289 = torch.conv2d( - x_288, - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = None - x_290 = torch.nn.functional.batch_norm( - x_289, - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_289 = ( - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = None - x_291 = torch.nn.functional.relu(x_290, inplace=True) - x_290 = None - x_292 = torch.conv2d( - x_291, - l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_291 = l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ = None - x_293 = torch.nn.functional.batch_norm( - x_292, - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_292 = ( - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = None - x_294 = torch.nn.functional.relu(x_293, inplace=True) - x_293 = None - x_295 = torch.conv2d( - x_294, - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_294 = l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = None - x_296 = torch.nn.functional.batch_norm( - x_295, - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_295 = ( - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = None - mean_26 = x_296.mean((2, 3)) - y_78 = mean_26.view(1, 1, -1) - mean_26 = None - y_79 = torch.conv1d( - y_78, - l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_78 = ( - l_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_26 = y_79.sigmoid() - y_79 = None - y_80 = sigmoid_26.view(1, -1, 1, 1) - sigmoid_26 = None - expand_as_26 = y_80.expand_as(x_296) - y_80 = None - x_297 = x_296 * expand_as_26 - x_296 = expand_as_26 = None - x_297 += x_288 - x_298 = x_297 - x_297 = x_288 = None - x_299 = torch.nn.functional.relu(x_298, inplace=True) - x_298 = None - x_300 = torch.conv2d( - x_299, - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = None - x_301 = torch.nn.functional.batch_norm( - x_300, - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_300 = ( - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = None - x_302 = torch.nn.functional.relu(x_301, inplace=True) - x_301 = None - x_303 = torch.conv2d( - x_302, - l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_302 = l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ = None - x_304 = torch.nn.functional.batch_norm( - x_303, - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_303 = ( - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = None - x_305 = torch.nn.functional.relu(x_304, inplace=True) - x_304 = None - x_306 = torch.conv2d( - x_305, - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_305 = l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = None - x_307 = torch.nn.functional.batch_norm( - x_306, - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_306 = ( - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = None - mean_27 = x_307.mean((2, 3)) - y_81 = mean_27.view(1, 1, -1) - mean_27 = None - y_82 = torch.conv1d( - y_81, - l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_81 = ( - l_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_27 = y_82.sigmoid() - y_82 = None - y_83 = sigmoid_27.view(1, -1, 1, 1) - sigmoid_27 = None - expand_as_27 = y_83.expand_as(x_307) - y_83 = None - x_308 = x_307 * expand_as_27 - x_307 = expand_as_27 = None - x_308 += x_299 - x_309 = x_308 - x_308 = x_299 = None - x_310 = torch.nn.functional.relu(x_309, inplace=True) - x_309 = None - x_311 = torch.conv2d( - x_310, - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = None - x_312 = torch.nn.functional.batch_norm( - x_311, - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_311 = ( - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = None - x_313 = torch.nn.functional.relu(x_312, inplace=True) - x_312 = None - x_314 = torch.conv2d( - x_313, - l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_313 = l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ = None - x_315 = torch.nn.functional.batch_norm( - x_314, - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_314 = ( - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = None - x_316 = torch.nn.functional.relu(x_315, inplace=True) - x_315 = None - x_317 = torch.conv2d( - x_316, - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_316 = l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = None - x_318 = torch.nn.functional.batch_norm( - x_317, - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_317 = ( - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = None - mean_28 = x_318.mean((2, 3)) - y_84 = mean_28.view(1, 1, -1) - mean_28 = None - y_85 = torch.conv1d( - y_84, - l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_84 = ( - l_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_28 = y_85.sigmoid() - y_85 = None - y_86 = sigmoid_28.view(1, -1, 1, 1) - sigmoid_28 = None - expand_as_28 = y_86.expand_as(x_318) - y_86 = None - x_319 = x_318 * expand_as_28 - x_318 = expand_as_28 = None - x_319 += x_310 - x_320 = x_319 - x_319 = x_310 = None - x_321 = torch.nn.functional.relu(x_320, inplace=True) - x_320 = None - x_322 = torch.conv2d( - x_321, - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = None - x_323 = torch.nn.functional.batch_norm( - x_322, - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_322 = ( - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = None - x_324 = torch.nn.functional.relu(x_323, inplace=True) - x_323 = None - x_325 = torch.conv2d( - x_324, - l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_324 = l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ = None - x_326 = torch.nn.functional.batch_norm( - x_325, - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_325 = ( - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = None - x_327 = torch.nn.functional.relu(x_326, inplace=True) - x_326 = None - x_328 = torch.conv2d( - x_327, - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_327 = l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = None - x_329 = torch.nn.functional.batch_norm( - x_328, - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_328 = ( - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = None - mean_29 = x_329.mean((2, 3)) - y_87 = mean_29.view(1, 1, -1) - mean_29 = None - y_88 = torch.conv1d( - y_87, - l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_87 = ( - l_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_29 = y_88.sigmoid() - y_88 = None - y_89 = sigmoid_29.view(1, -1, 1, 1) - sigmoid_29 = None - expand_as_29 = y_89.expand_as(x_329) - y_89 = None - x_330 = x_329 * expand_as_29 - x_329 = expand_as_29 = None - x_330 += x_321 - x_331 = x_330 - x_330 = x_321 = None - x_332 = torch.nn.functional.relu(x_331, inplace=True) - x_331 = None - x_333 = torch.conv2d( - x_332, - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None - x_334 = torch.nn.functional.batch_norm( - x_333, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_333 = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None - x_335 = torch.nn.functional.relu(x_334, inplace=True) - x_334 = None - x_336 = torch.conv2d( - x_335, - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - x_335 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None - x_337 = torch.nn.functional.batch_norm( - x_336, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_336 = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None - x_338 = torch.nn.functional.relu(x_337, inplace=True) - x_337 = None - x_339 = torch.conv2d( - x_338, - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_338 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None - x_340 = torch.nn.functional.batch_norm( - x_339, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_339 = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None - mean_30 = x_340.mean((2, 3)) - floordiv_3 = sym_sum // 32 - sym_sum = None - sym_sum_4 = torch.sym_sum([1, floordiv_3]) - floordiv_3 = sym_sum_4 = None - y_90 = mean_30.view(1, 1, -1) - mean_30 = None - y_91 = torch.conv1d( - y_90, - l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (3,), - (1,), - 1, - ) - y_90 = ( - l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_30 = y_91.sigmoid() - y_91 = None - y_92 = sigmoid_30.view(1, -1, 1, 1) - sigmoid_30 = None - expand_as_30 = y_92.expand_as(x_340) - y_92 = None - x_341 = x_340 * expand_as_30 - x_340 = expand_as_30 = None - input_16 = torch._C._nn.avg_pool2d(x_332, 2, 2, 0, True, False, None) - x_332 = None - input_17 = torch.conv2d( - input_16, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_18 = torch.nn.functional.batch_norm( - input_17, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_341 += input_18 - x_342 = x_341 - x_341 = input_18 = None - x_343 = torch.nn.functional.relu(x_342, inplace=True) - x_342 = None - x_344 = torch.conv2d( - x_343, - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None - x_345 = torch.nn.functional.batch_norm( - x_344, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_344 = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None - x_346 = torch.nn.functional.relu(x_345, inplace=True) - x_345 = None - x_347 = torch.conv2d( - x_346, - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_346 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None - x_348 = torch.nn.functional.batch_norm( - x_347, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_347 = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None - x_349 = torch.nn.functional.relu(x_348, inplace=True) - x_348 = None - x_350 = torch.conv2d( - x_349, - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_349 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None - x_351 = torch.nn.functional.batch_norm( - x_350, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_350 = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None - mean_31 = x_351.mean((2, 3)) - y_93 = mean_31.view(1, 1, -1) - mean_31 = None - y_94 = torch.conv1d( - y_93, - l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (3,), - (1,), - 1, - ) - y_93 = ( - l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_31 = y_94.sigmoid() - y_94 = None - y_95 = sigmoid_31.view(1, -1, 1, 1) - sigmoid_31 = None - expand_as_31 = y_95.expand_as(x_351) - y_95 = None - x_352 = x_351 * expand_as_31 - x_351 = expand_as_31 = None - x_352 += x_343 - x_353 = x_352 - x_352 = x_343 = None - x_354 = torch.nn.functional.relu(x_353, inplace=True) - x_353 = None - x_355 = torch.conv2d( - x_354, - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None - x_356 = torch.nn.functional.batch_norm( - x_355, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_355 = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None - x_357 = torch.nn.functional.relu(x_356, inplace=True) - x_356 = None - x_358 = torch.conv2d( - x_357, - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_357 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None - x_359 = torch.nn.functional.batch_norm( - x_358, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_358 = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None - x_360 = torch.nn.functional.relu(x_359, inplace=True) - x_359 = None - x_361 = torch.conv2d( - x_360, - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_360 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None - x_362 = torch.nn.functional.batch_norm( - x_361, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_361 = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None - mean_32 = x_362.mean((2, 3)) - y_96 = mean_32.view(1, 1, -1) - mean_32 = None - y_97 = torch.conv1d( - y_96, - l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (3,), - (1,), - 1, - ) - y_96 = ( - l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_32 = y_97.sigmoid() - y_97 = None - y_98 = sigmoid_32.view(1, -1, 1, 1) - sigmoid_32 = None - expand_as_32 = y_98.expand_as(x_362) - y_98 = None - x_363 = x_362 * expand_as_32 - x_362 = expand_as_32 = None - x_363 += x_354 - x_364 = x_363 - x_363 = x_354 = None - x_365 = torch.nn.functional.relu(x_364, inplace=True) - x_364 = None - x_366 = torch.nn.functional.adaptive_avg_pool2d(x_365, 1) - x_365 = None - x_367 = x_366.flatten(1, -1) - x_366 = None - x_368 = torch._C._nn.linear( - x_367, - l_self_modules_fc_parameters_weight_, - l_self_modules_fc_parameters_bias_, - ) - x_367 = ( - l_self_modules_fc_parameters_weight_ - ) = l_self_modules_fc_parameters_bias_ = None - return (x_368,) diff --git a/samples/timm/ecaresnet101d_pruned.miil_in1k/weight_meta.py b/samples/timm/ecaresnet101d_pruned.miil_in1k/weight_meta.py deleted file mode 100644 index 1b8256f1a..000000000 --- a/samples/timm/ecaresnet101d_pruned.miil_in1k/weight_meta.py +++ /dev/null @@ -1,5676 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_conv1_modules_0_parameters_weight_" - shape = [32, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.003 - std = 0.110 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.233 - std = 1.288 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_conv1_modules_1_buffers_running_mean_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_conv1_modules_1_buffers_running_var_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_conv1_modules_1_parameters_weight_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_conv1_modules_1_parameters_bias_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_: - name = "L_self_modules_conv1_modules_3_parameters_weight_" - shape = [32, 32, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.034 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_: - name = "L_self_modules_conv1_modules_4_buffers_running_mean_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_: - name = "L_self_modules_conv1_modules_4_buffers_running_var_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_: - name = "L_self_modules_conv1_modules_4_parameters_weight_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_: - name = "L_self_modules_conv1_modules_4_parameters_bias_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_: - name = "L_self_modules_conv1_modules_6_parameters_weight_" - shape = [64, 32, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.034 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_: - name = "L_self_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_: - name = "L_self_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_: - name = "L_self_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_: - name = "L_self_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_" - shape = [45, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.073 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_" - shape = [45] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_" - shape = [45] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_" - shape = [45] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_" - shape = [45] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_" - shape = [25, 45, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_" - shape = [25] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_" - shape = [25] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_" - shape = [25] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_" - shape = [25] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_" - shape = [26, 25, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.117 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.129 - std = 0.133 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [26, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.003 - std = 0.073 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_" - shape = [53, 26, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.004 - std = 0.112 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_" - shape = [53] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_" - shape = [53] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_" - shape = [53] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_" - shape = [53] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_" - shape = [20, 53, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_" - shape = [20] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_" - shape = [20] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_" - shape = [20] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_" - shape = [20] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_" - shape = [26, 20, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.126 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.003 - std = 0.265 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_" - shape = [60, 26, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.114 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_" - shape = [60] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_" - shape = [60] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_" - shape = [60] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_" - shape = [60] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_" - shape = [27, 60, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_" - shape = [27] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_" - shape = [27] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_" - shape = [27] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_" - shape = [27] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_" - shape = [26, 27, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.004 - std = 0.115 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.087 - std = 0.230 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_" - shape = [81, 26, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.114 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_" - shape = [81] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_" - shape = [81] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_" - shape = [81] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_" - shape = [81] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_" - shape = [24, 81, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_" - shape = [24] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_" - shape = [24] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_" - shape = [24] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_" - shape = [24] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_" - shape = [142, 24, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.003 - std = 0.119 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.019 - std = 0.417 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [142, 26, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.113 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_" - shape = [93, 142, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.048 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_" - shape = [93] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_" - shape = [93] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_" - shape = [93] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_" - shape = [93] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_" - shape = [49, 93, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_" - shape = [49] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_" - shape = [49] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_" - shape = [49] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_" - shape = [49] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_" - shape = [142, 49, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.083 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.092 - std = 0.072 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_" - shape = [102, 142, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_" - shape = [102] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_" - shape = [102] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_" - shape = [102] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_" - shape = [102] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_" - shape = [54, 102, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_" - shape = [54] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_" - shape = [54] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_" - shape = [54] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_" - shape = [54] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_" - shape = [142, 54, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.079 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.208 - std = 0.265 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_" - shape = [122, 142, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.048 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_" - shape = [122] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_" - shape = [122] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_" - shape = [122] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_" - shape = [122] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_" - shape = [78, 122, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_" - shape = [78] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_" - shape = [78] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_" - shape = [78] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_" - shape = [78] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_" - shape = [142, 78, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_" - shape = [142] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.004 - std = 0.320 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_" - shape = [101, 142, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.048 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_" - shape = [101] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_" - shape = [101] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_" - shape = [101] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_" - shape = [101] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_" - shape = [25, 101, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_" - shape = [25] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_" - shape = [25] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_" - shape = [25] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_" - shape = [25] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_" - shape = [278, 25, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.002 - std = 0.114 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.178 - std = 0.261 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [278, 142, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_" - shape = [239, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_" - shape = [239] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_" - shape = [239] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_" - shape = [239] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_" - shape = [239] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_" - shape = [160, 239, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_" - shape = [160] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_" - shape = [160] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_" - shape = [160] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_" - shape = [278, 160, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.120 - std = 0.270 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_" - shape = [234, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_" - shape = [234] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_" - shape = [234] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_" - shape = [234] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_" - shape = [234] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_" - shape = [156, 234, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_" - shape = [156] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_" - shape = [156] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_" - shape = [156] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_" - shape = [156] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_" - shape = [278, 156, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.154 - std = 0.332 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_" - shape = [250, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_" - shape = [250] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_" - shape = [250] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_" - shape = [250] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_" - shape = [250] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_" - shape = [176, 250, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_" - shape = [176] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_" - shape = [176] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_" - shape = [176] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_" - shape = [176] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_" - shape = [278, 176, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.014 - std = 0.292 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_" - shape = [253, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_" - shape = [191, 253, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_" - shape = [191] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_" - shape = [191] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_" - shape = [191] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_" - shape = [191] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_" - shape = [278, 191, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.022 - std = 0.344 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_" - shape = [251, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_" - shape = [251] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_" - shape = [251] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_" - shape = [251] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_" - shape = [251] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_" - shape = [175, 251, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_" - shape = [175] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_" - shape = [175] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_" - shape = [175] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_" - shape = [175] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_" - shape = [278, 175, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.043 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.052 - std = 0.325 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_" - shape = [230, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_" - shape = [230] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_" - shape = [230] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_" - shape = [230] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_" - shape = [230] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_" - shape = [128, 230, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_" - shape = [278, 128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.051 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.091 - std = 0.294 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_" - shape = [244, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_" - shape = [154, 244, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_" - shape = [154] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_" - shape = [154] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_" - shape = [154] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_" - shape = [154] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_" - shape = [278, 154, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.047 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.077 - std = 0.265 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_" - shape = [244, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_" - shape = [159, 244, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_" - shape = [159] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_" - shape = [159] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_" - shape = [159] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_" - shape = [159] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_" - shape = [278, 159, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.046 - std = 0.310 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_" - shape = [238, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_" - shape = [238] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_" - shape = [238] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_" - shape = [238] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_" - shape = [238] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_" - shape = [97, 238, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_" - shape = [97] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_" - shape = [97] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_" - shape = [97] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_" - shape = [97] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_" - shape = [278, 97, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.058 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.239 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_" - shape = [244, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_" - shape = [244] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_" - shape = [149, 244, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_" - shape = [149] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_" - shape = [149] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_" - shape = [149] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_" - shape = [149] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_" - shape = [278, 149, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.047 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.049 - std = 0.260 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_" - shape = [253, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_" - shape = [181, 253, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_" - shape = [181] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_" - shape = [181] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_" - shape = [181] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_" - shape = [181] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_" - shape = [278, 181, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.043 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.008 - std = 0.281 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_" - shape = [245, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_" - shape = [245] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_" - shape = [245] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_" - shape = [245] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_" - shape = [245] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_" - shape = [119, 245, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_" - shape = [119] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_" - shape = [119] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_" - shape = [119] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_" - shape = [119] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_" - shape = [278, 119, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.053 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.012 - std = 0.278 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_" - shape = [255, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_" - shape = [216, 255, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_" - shape = [216] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_" - shape = [216] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_" - shape = [216] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_" - shape = [216] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_" - shape = [278, 216, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.039 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.173 - std = 0.152 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_" - shape = [256, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_" - shape = [201, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_" - shape = [201] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_" - shape = [201] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_" - shape = [201] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_" - shape = [201] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_" - shape = [278, 201, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.041 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.066 - std = 0.247 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_" - shape = [253, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_" - shape = [149, 253, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_" - shape = [149] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_" - shape = [149] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_" - shape = [149] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_" - shape = [149] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_" - shape = [278, 149, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.047 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.032 - std = 0.176 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_" - shape = [254, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_" - shape = [254] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_" - shape = [254] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_" - shape = [254] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_" - shape = [254] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_" - shape = [141, 254, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_" - shape = [141] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_" - shape = [141] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_" - shape = [141] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_" - shape = [141] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_" - shape = [278, 141, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.123 - std = 0.199 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_" - shape = [256, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_" - shape = [190, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_" - shape = [190] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_" - shape = [190] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_" - shape = [190] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_" - shape = [190] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_" - shape = [278, 190, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.018 - std = 0.268 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_" - shape = [256, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_" - shape = [217, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_" - shape = [217] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_" - shape = [217] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_" - shape = [217] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_" - shape = [217] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_" - shape = [278, 217, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.039 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.063 - std = 0.181 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_" - shape = [255, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_" - shape = [156, 255, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_" - shape = [156] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_" - shape = [156] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_" - shape = [156] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_" - shape = [156] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_" - shape = [278, 156, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.068 - std = 0.227 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_" - shape = [256, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_" - shape = [155, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_" - shape = [155] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_" - shape = [155] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_" - shape = [155] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_" - shape = [155] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_" - shape = [278, 155, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.205 - std = 0.217 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_" - shape = [256, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_" - shape = [232, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_" - shape = [232] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_" - shape = [232] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_" - shape = [232] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_" - shape = [232] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_" - shape = [278, 232, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.038 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.049 - std = 0.298 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_" - shape = [256, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_" - shape = [214, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_" - shape = [214] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_" - shape = [214] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_" - shape = [214] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_" - shape = [214] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_" - shape = [278, 214, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.040 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_" - shape = [278] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.107 - std = 0.324 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_" - shape = [499, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_" - shape = [499] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_" - shape = [499] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_" - shape = [499] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_" - shape = [499] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_" - shape = [289, 499, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.009 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_" - shape = [289] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_" - shape = [289] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_" - shape = [289] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_" - shape = [289] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_" - shape = [2042, 289, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.034 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.084 - std = 0.273 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [2042, 278, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_" - shape = [512, 2042, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.009 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_" - shape = [2042, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.075 - std = 0.211 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_" - shape = [512, 2042, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_" - shape = [502, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.009 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_" - shape = [502] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_" - shape = [502] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_" - shape = [502] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_" - shape = [502] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_" - shape = [2042, 502, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_" - shape = [2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.161 - std = 0.231 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [1000, 2042] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: - name = "L_self_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_hash.txt b/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_hash.txt deleted file mode 100644 index 0f7d44deb..000000000 --- a/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -2f057d89b7a77e6164434a9bfcce292ddbbce7f6791af6f72cddd7907d7c778d \ No newline at end of file diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_net.json b/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_net.json deleted file mode 100644 index 5a6dada2f..000000000 --- a/samples/timm/ecaresnet50d_pruned.miil_in1k/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "timm", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/input_meta.py b/samples/timm/ecaresnet50d_pruned.miil_in1k/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet50d_pruned.miil_in1k/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/model.py b/samples/timm/ecaresnet50d_pruned.miil_in1k/model.py deleted file mode 100644 index 489c757f2..000000000 --- a/samples/timm/ecaresnet50d_pruned.miil_in1k/model.py +++ /dev/null @@ -1,3151 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor, - L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor, - L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_conv1_modules_0_parameters_weight_ = ( - L_self_modules_conv1_modules_0_parameters_weight_ - ) - l_x_ = L_x_ - l_self_modules_conv1_modules_1_buffers_running_mean_ = ( - L_self_modules_conv1_modules_1_buffers_running_mean_ - ) - l_self_modules_conv1_modules_1_buffers_running_var_ = ( - L_self_modules_conv1_modules_1_buffers_running_var_ - ) - l_self_modules_conv1_modules_1_parameters_weight_ = ( - L_self_modules_conv1_modules_1_parameters_weight_ - ) - l_self_modules_conv1_modules_1_parameters_bias_ = ( - L_self_modules_conv1_modules_1_parameters_bias_ - ) - l_self_modules_conv1_modules_3_parameters_weight_ = ( - L_self_modules_conv1_modules_3_parameters_weight_ - ) - l_self_modules_conv1_modules_4_buffers_running_mean_ = ( - L_self_modules_conv1_modules_4_buffers_running_mean_ - ) - l_self_modules_conv1_modules_4_buffers_running_var_ = ( - L_self_modules_conv1_modules_4_buffers_running_var_ - ) - l_self_modules_conv1_modules_4_parameters_weight_ = ( - L_self_modules_conv1_modules_4_parameters_weight_ - ) - l_self_modules_conv1_modules_4_parameters_bias_ = ( - L_self_modules_conv1_modules_4_parameters_bias_ - ) - l_self_modules_conv1_modules_6_parameters_weight_ = ( - L_self_modules_conv1_modules_6_parameters_weight_ - ) - l_self_modules_bn1_buffers_running_mean_ = ( - L_self_modules_bn1_buffers_running_mean_ - ) - l_self_modules_bn1_buffers_running_var_ = ( - L_self_modules_bn1_buffers_running_var_ - ) - l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_ - l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_ - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ - l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - input_1 = torch.conv2d( - l_x_, - l_self_modules_conv1_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None - input_2 = torch.nn.functional.batch_norm( - input_1, - l_self_modules_conv1_modules_1_buffers_running_mean_, - l_self_modules_conv1_modules_1_buffers_running_var_, - l_self_modules_conv1_modules_1_parameters_weight_, - l_self_modules_conv1_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_1 = ( - l_self_modules_conv1_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_conv1_modules_1_buffers_running_var_ - ) = ( - l_self_modules_conv1_modules_1_parameters_weight_ - ) = l_self_modules_conv1_modules_1_parameters_bias_ = None - input_3 = torch.nn.functional.relu(input_2, inplace=True) - input_2 = None - input_4 = torch.conv2d( - input_3, - l_self_modules_conv1_modules_3_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None - input_5 = torch.nn.functional.batch_norm( - input_4, - l_self_modules_conv1_modules_4_buffers_running_mean_, - l_self_modules_conv1_modules_4_buffers_running_var_, - l_self_modules_conv1_modules_4_parameters_weight_, - l_self_modules_conv1_modules_4_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_4 = ( - l_self_modules_conv1_modules_4_buffers_running_mean_ - ) = ( - l_self_modules_conv1_modules_4_buffers_running_var_ - ) = ( - l_self_modules_conv1_modules_4_parameters_weight_ - ) = l_self_modules_conv1_modules_4_parameters_bias_ = None - input_6 = torch.nn.functional.relu(input_5, inplace=True) - input_5 = None - input_7 = torch.conv2d( - input_6, - l_self_modules_conv1_modules_6_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None - x = torch.nn.functional.batch_norm( - input_7, - l_self_modules_bn1_buffers_running_mean_, - l_self_modules_bn1_buffers_running_var_, - l_self_modules_bn1_parameters_weight_, - l_self_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_7 = ( - l_self_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_bn1_parameters_weight_ - ) = l_self_modules_bn1_parameters_bias_ = None - x_1 = torch.nn.functional.relu(x, inplace=True) - x = None - x_2 = torch.nn.functional.max_pool2d( - x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False - ) - x_1 = None - x_3 = torch.conv2d( - x_2, - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None - x_4 = torch.nn.functional.batch_norm( - x_3, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_3 = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None - x_5 = torch.nn.functional.relu(x_4, inplace=True) - x_4 = None - x_6 = torch.conv2d( - x_5, - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None - x_7 = torch.nn.functional.batch_norm( - x_6, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_6 = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None - x_8 = torch.nn.functional.relu(x_7, inplace=True) - x_7 = None - x_9 = torch.conv2d( - x_8, - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None - x_10 = torch.nn.functional.batch_norm( - x_9, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_9 = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None - mean = x_10.mean((2, 3)) - sym_sum = torch.sym_sum([-1, s1]) - s1 = None - floordiv = sym_sum // 4 - sym_sum_1 = torch.sym_sum([1, floordiv]) - floordiv = sym_sum_1 = None - y = mean.view(1, 1, -1) - mean = None - y_1 = torch.conv1d( - y, - l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y = ( - l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid = y_1.sigmoid() - y_1 = None - y_2 = sigmoid.view(1, -1, 1, 1) - sigmoid = None - expand_as = y_2.expand_as(x_10) - y_2 = None - x_11 = x_10 * expand_as - x_10 = expand_as = None - input_8 = torch.conv2d( - x_2, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_9 = torch.nn.functional.batch_norm( - input_8, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_11 += input_9 - x_12 = x_11 - x_11 = input_9 = None - x_13 = torch.nn.functional.relu(x_12, inplace=True) - x_12 = None - x_14 = torch.conv2d( - x_13, - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None - x_15 = torch.nn.functional.batch_norm( - x_14, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_14 = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None - x_16 = torch.nn.functional.relu(x_15, inplace=True) - x_15 = None - x_17 = torch.conv2d( - x_16, - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None - x_18 = torch.nn.functional.batch_norm( - x_17, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_17 = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None - x_19 = torch.nn.functional.relu(x_18, inplace=True) - x_18 = None - x_20 = torch.conv2d( - x_19, - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None - x_21 = torch.nn.functional.batch_norm( - x_20, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_20 = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None - mean_1 = x_21.mean((2, 3)) - y_3 = mean_1.view(1, 1, -1) - mean_1 = None - y_4 = torch.conv1d( - y_3, - l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_3 = ( - l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_1 = y_4.sigmoid() - y_4 = None - y_5 = sigmoid_1.view(1, -1, 1, 1) - sigmoid_1 = None - expand_as_1 = y_5.expand_as(x_21) - y_5 = None - x_22 = x_21 * expand_as_1 - x_21 = expand_as_1 = None - x_22 += x_13 - x_23 = x_22 - x_22 = x_13 = None - x_24 = torch.nn.functional.relu(x_23, inplace=True) - x_23 = None - x_25 = torch.conv2d( - x_24, - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None - x_26 = torch.nn.functional.batch_norm( - x_25, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_25 = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None - x_27 = torch.nn.functional.relu(x_26, inplace=True) - x_26 = None - x_28 = torch.conv2d( - x_27, - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_27 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None - x_29 = torch.nn.functional.batch_norm( - x_28, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_28 = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None - x_30 = torch.nn.functional.relu(x_29, inplace=True) - x_29 = None - x_31 = torch.conv2d( - x_30, - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_30 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None - x_32 = torch.nn.functional.batch_norm( - x_31, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_31 = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None - mean_2 = x_32.mean((2, 3)) - y_6 = mean_2.view(1, 1, -1) - mean_2 = None - y_7 = torch.conv1d( - y_6, - l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_6 = ( - l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_2 = y_7.sigmoid() - y_7 = None - y_8 = sigmoid_2.view(1, -1, 1, 1) - sigmoid_2 = None - expand_as_2 = y_8.expand_as(x_32) - y_8 = None - x_33 = x_32 * expand_as_2 - x_32 = expand_as_2 = None - x_33 += x_24 - x_34 = x_33 - x_33 = x_24 = None - x_35 = torch.nn.functional.relu(x_34, inplace=True) - x_34 = None - x_36 = torch.conv2d( - x_35, - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None - x_37 = torch.nn.functional.batch_norm( - x_36, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_36 = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None - x_38 = torch.nn.functional.relu(x_37, inplace=True) - x_37 = None - x_39 = torch.conv2d( - x_38, - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - x_38 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None - x_40 = torch.nn.functional.batch_norm( - x_39, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_39 = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None - x_41 = torch.nn.functional.relu(x_40, inplace=True) - x_40 = None - x_42 = torch.conv2d( - x_41, - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_41 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None - x_43 = torch.nn.functional.batch_norm( - x_42, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_42 = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None - mean_3 = x_43.mean((2, 3)) - floordiv_1 = sym_sum // 8 - sym_sum_2 = torch.sym_sum([1, floordiv_1]) - floordiv_1 = sym_sum_2 = None - y_9 = mean_3.view(1, 1, -1) - mean_3 = None - y_10 = torch.conv1d( - y_9, - l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_9 = ( - l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_3 = y_10.sigmoid() - y_10 = None - y_11 = sigmoid_3.view(1, -1, 1, 1) - sigmoid_3 = None - expand_as_3 = y_11.expand_as(x_43) - y_11 = None - x_44 = x_43 * expand_as_3 - x_43 = expand_as_3 = None - input_10 = torch._C._nn.avg_pool2d(x_35, 2, 2, 0, True, False, None) - x_35 = None - input_11 = torch.conv2d( - input_10, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_12 = torch.nn.functional.batch_norm( - input_11, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_44 += input_12 - x_45 = x_44 - x_44 = input_12 = None - x_46 = torch.nn.functional.relu(x_45, inplace=True) - x_45 = None - x_47 = torch.conv2d( - x_46, - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None - x_48 = torch.nn.functional.batch_norm( - x_47, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_47 = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None - x_49 = torch.nn.functional.relu(x_48, inplace=True) - x_48 = None - x_50 = torch.conv2d( - x_49, - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_49 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None - x_51 = torch.nn.functional.batch_norm( - x_50, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_50 = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None - x_52 = torch.nn.functional.relu(x_51, inplace=True) - x_51 = None - x_53 = torch.conv2d( - x_52, - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_52 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None - x_54 = torch.nn.functional.batch_norm( - x_53, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_53 = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None - mean_4 = x_54.mean((2, 3)) - y_12 = mean_4.view(1, 1, -1) - mean_4 = None - y_13 = torch.conv1d( - y_12, - l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_12 = ( - l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_4 = y_13.sigmoid() - y_13 = None - y_14 = sigmoid_4.view(1, -1, 1, 1) - sigmoid_4 = None - expand_as_4 = y_14.expand_as(x_54) - y_14 = None - x_55 = x_54 * expand_as_4 - x_54 = expand_as_4 = None - x_55 += x_46 - x_56 = x_55 - x_55 = x_46 = None - x_57 = torch.nn.functional.relu(x_56, inplace=True) - x_56 = None - x_58 = torch.conv2d( - x_57, - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None - x_59 = torch.nn.functional.batch_norm( - x_58, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_58 = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None - x_60 = torch.nn.functional.relu(x_59, inplace=True) - x_59 = None - x_61 = torch.conv2d( - x_60, - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_60 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None - x_62 = torch.nn.functional.batch_norm( - x_61, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_61 = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None - x_63 = torch.nn.functional.relu(x_62, inplace=True) - x_62 = None - x_64 = torch.conv2d( - x_63, - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_63 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None - x_65 = torch.nn.functional.batch_norm( - x_64, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_64 = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None - mean_5 = x_65.mean((2, 3)) - y_15 = mean_5.view(1, 1, -1) - mean_5 = None - y_16 = torch.conv1d( - y_15, - l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_15 = ( - l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_5 = y_16.sigmoid() - y_16 = None - y_17 = sigmoid_5.view(1, -1, 1, 1) - sigmoid_5 = None - expand_as_5 = y_17.expand_as(x_65) - y_17 = None - x_66 = x_65 * expand_as_5 - x_65 = expand_as_5 = None - x_66 += x_57 - x_67 = x_66 - x_66 = x_57 = None - x_68 = torch.nn.functional.relu(x_67, inplace=True) - x_67 = None - x_69 = torch.conv2d( - x_68, - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None - x_70 = torch.nn.functional.batch_norm( - x_69, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_69 = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None - x_71 = torch.nn.functional.relu(x_70, inplace=True) - x_70 = None - x_72 = torch.conv2d( - x_71, - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_71 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None - x_73 = torch.nn.functional.batch_norm( - x_72, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_72 = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None - x_74 = torch.nn.functional.relu(x_73, inplace=True) - x_73 = None - x_75 = torch.conv2d( - x_74, - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_74 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None - x_76 = torch.nn.functional.batch_norm( - x_75, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_75 = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None - mean_6 = x_76.mean((2, 3)) - y_18 = mean_6.view(1, 1, -1) - mean_6 = None - y_19 = torch.conv1d( - y_18, - l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_18 = ( - l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_6 = y_19.sigmoid() - y_19 = None - y_20 = sigmoid_6.view(1, -1, 1, 1) - sigmoid_6 = None - expand_as_6 = y_20.expand_as(x_76) - y_20 = None - x_77 = x_76 * expand_as_6 - x_76 = expand_as_6 = None - x_77 += x_68 - x_78 = x_77 - x_77 = x_68 = None - x_79 = torch.nn.functional.relu(x_78, inplace=True) - x_78 = None - x_80 = torch.conv2d( - x_79, - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None - x_81 = torch.nn.functional.batch_norm( - x_80, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_80 = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None - x_82 = torch.nn.functional.relu(x_81, inplace=True) - x_81 = None - x_83 = torch.conv2d( - x_82, - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - x_82 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None - x_84 = torch.nn.functional.batch_norm( - x_83, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_83 = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None - x_85 = torch.nn.functional.relu(x_84, inplace=True) - x_84 = None - x_86 = torch.conv2d( - x_85, - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_85 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None - x_87 = torch.nn.functional.batch_norm( - x_86, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_86 = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None - mean_7 = x_87.mean((2, 3)) - floordiv_2 = sym_sum // 16 - sym_sum_3 = torch.sym_sum([1, floordiv_2]) - floordiv_2 = sym_sum_3 = None - y_21 = mean_7.view(1, 1, -1) - mean_7 = None - y_22 = torch.conv1d( - y_21, - l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_21 = ( - l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_7 = y_22.sigmoid() - y_22 = None - y_23 = sigmoid_7.view(1, -1, 1, 1) - sigmoid_7 = None - expand_as_7 = y_23.expand_as(x_87) - y_23 = None - x_88 = x_87 * expand_as_7 - x_87 = expand_as_7 = None - input_13 = torch._C._nn.avg_pool2d(x_79, 2, 2, 0, True, False, None) - x_79 = None - input_14 = torch.conv2d( - input_13, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_15 = torch.nn.functional.batch_norm( - input_14, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_88 += input_15 - x_89 = x_88 - x_88 = input_15 = None - x_90 = torch.nn.functional.relu(x_89, inplace=True) - x_89 = None - x_91 = torch.conv2d( - x_90, - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None - x_92 = torch.nn.functional.batch_norm( - x_91, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_91 = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None - x_93 = torch.nn.functional.relu(x_92, inplace=True) - x_92 = None - x_94 = torch.conv2d( - x_93, - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_93 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None - x_95 = torch.nn.functional.batch_norm( - x_94, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_94 = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None - x_96 = torch.nn.functional.relu(x_95, inplace=True) - x_95 = None - x_97 = torch.conv2d( - x_96, - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_96 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None - x_98 = torch.nn.functional.batch_norm( - x_97, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_97 = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None - mean_8 = x_98.mean((2, 3)) - y_24 = mean_8.view(1, 1, -1) - mean_8 = None - y_25 = torch.conv1d( - y_24, - l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_24 = ( - l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_8 = y_25.sigmoid() - y_25 = None - y_26 = sigmoid_8.view(1, -1, 1, 1) - sigmoid_8 = None - expand_as_8 = y_26.expand_as(x_98) - y_26 = None - x_99 = x_98 * expand_as_8 - x_98 = expand_as_8 = None - x_99 += x_90 - x_100 = x_99 - x_99 = x_90 = None - x_101 = torch.nn.functional.relu(x_100, inplace=True) - x_100 = None - x_102 = torch.conv2d( - x_101, - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None - x_103 = torch.nn.functional.batch_norm( - x_102, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_102 = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None - x_104 = torch.nn.functional.relu(x_103, inplace=True) - x_103 = None - x_105 = torch.conv2d( - x_104, - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_104 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None - x_106 = torch.nn.functional.batch_norm( - x_105, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_105 = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None - x_107 = torch.nn.functional.relu(x_106, inplace=True) - x_106 = None - x_108 = torch.conv2d( - x_107, - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_107 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None - x_109 = torch.nn.functional.batch_norm( - x_108, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_108 = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None - mean_9 = x_109.mean((2, 3)) - y_27 = mean_9.view(1, 1, -1) - mean_9 = None - y_28 = torch.conv1d( - y_27, - l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_27 = ( - l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_9 = y_28.sigmoid() - y_28 = None - y_29 = sigmoid_9.view(1, -1, 1, 1) - sigmoid_9 = None - expand_as_9 = y_29.expand_as(x_109) - y_29 = None - x_110 = x_109 * expand_as_9 - x_109 = expand_as_9 = None - x_110 += x_101 - x_111 = x_110 - x_110 = x_101 = None - x_112 = torch.nn.functional.relu(x_111, inplace=True) - x_111 = None - x_113 = torch.conv2d( - x_112, - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None - x_114 = torch.nn.functional.batch_norm( - x_113, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_113 = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None - x_115 = torch.nn.functional.relu(x_114, inplace=True) - x_114 = None - x_116 = torch.conv2d( - x_115, - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_115 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None - x_117 = torch.nn.functional.batch_norm( - x_116, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_116 = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None - x_118 = torch.nn.functional.relu(x_117, inplace=True) - x_117 = None - x_119 = torch.conv2d( - x_118, - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_118 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None - x_120 = torch.nn.functional.batch_norm( - x_119, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_119 = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None - mean_10 = x_120.mean((2, 3)) - y_30 = mean_10.view(1, 1, -1) - mean_10 = None - y_31 = torch.conv1d( - y_30, - l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_30 = ( - l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_10 = y_31.sigmoid() - y_31 = None - y_32 = sigmoid_10.view(1, -1, 1, 1) - sigmoid_10 = None - expand_as_10 = y_32.expand_as(x_120) - y_32 = None - x_121 = x_120 * expand_as_10 - x_120 = expand_as_10 = None - x_121 += x_112 - x_122 = x_121 - x_121 = x_112 = None - x_123 = torch.nn.functional.relu(x_122, inplace=True) - x_122 = None - x_124 = torch.conv2d( - x_123, - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None - x_125 = torch.nn.functional.batch_norm( - x_124, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_124 = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None - x_126 = torch.nn.functional.relu(x_125, inplace=True) - x_125 = None - x_127 = torch.conv2d( - x_126, - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_126 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None - x_128 = torch.nn.functional.batch_norm( - x_127, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_127 = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None - x_129 = torch.nn.functional.relu(x_128, inplace=True) - x_128 = None - x_130 = torch.conv2d( - x_129, - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_129 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None - x_131 = torch.nn.functional.batch_norm( - x_130, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_130 = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None - mean_11 = x_131.mean((2, 3)) - y_33 = mean_11.view(1, 1, -1) - mean_11 = None - y_34 = torch.conv1d( - y_33, - l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_33 = ( - l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_11 = y_34.sigmoid() - y_34 = None - y_35 = sigmoid_11.view(1, -1, 1, 1) - sigmoid_11 = None - expand_as_11 = y_35.expand_as(x_131) - y_35 = None - x_132 = x_131 * expand_as_11 - x_131 = expand_as_11 = None - x_132 += x_123 - x_133 = x_132 - x_132 = x_123 = None - x_134 = torch.nn.functional.relu(x_133, inplace=True) - x_133 = None - x_135 = torch.conv2d( - x_134, - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None - x_136 = torch.nn.functional.batch_norm( - x_135, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_135 = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None - x_137 = torch.nn.functional.relu(x_136, inplace=True) - x_136 = None - x_138 = torch.conv2d( - x_137, - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_137 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None - x_139 = torch.nn.functional.batch_norm( - x_138, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_138 = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None - x_140 = torch.nn.functional.relu(x_139, inplace=True) - x_139 = None - x_141 = torch.conv2d( - x_140, - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_140 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None - x_142 = torch.nn.functional.batch_norm( - x_141, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_141 = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None - mean_12 = x_142.mean((2, 3)) - y_36 = mean_12.view(1, 1, -1) - mean_12 = None - y_37 = torch.conv1d( - y_36, - l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_36 = ( - l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_12 = y_37.sigmoid() - y_37 = None - y_38 = sigmoid_12.view(1, -1, 1, 1) - sigmoid_12 = None - expand_as_12 = y_38.expand_as(x_142) - y_38 = None - x_143 = x_142 * expand_as_12 - x_142 = expand_as_12 = None - x_143 += x_134 - x_144 = x_143 - x_143 = x_134 = None - x_145 = torch.nn.functional.relu(x_144, inplace=True) - x_144 = None - x_146 = torch.conv2d( - x_145, - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None - x_147 = torch.nn.functional.batch_norm( - x_146, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_146 = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None - x_148 = torch.nn.functional.relu(x_147, inplace=True) - x_147 = None - x_149 = torch.conv2d( - x_148, - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - x_148 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None - x_150 = torch.nn.functional.batch_norm( - x_149, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_149 = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None - x_151 = torch.nn.functional.relu(x_150, inplace=True) - x_150 = None - x_152 = torch.conv2d( - x_151, - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_151 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None - x_153 = torch.nn.functional.batch_norm( - x_152, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_152 = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None - mean_13 = x_153.mean((2, 3)) - floordiv_3 = sym_sum // 32 - sym_sum = None - sym_sum_4 = torch.sym_sum([1, floordiv_3]) - floordiv_3 = sym_sum_4 = None - y_39 = mean_13.view(1, 1, -1) - mean_13 = None - y_40 = torch.conv1d( - y_39, - l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (3,), - (1,), - 1, - ) - y_39 = ( - l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_13 = y_40.sigmoid() - y_40 = None - y_41 = sigmoid_13.view(1, -1, 1, 1) - sigmoid_13 = None - expand_as_13 = y_41.expand_as(x_153) - y_41 = None - x_154 = x_153 * expand_as_13 - x_153 = expand_as_13 = None - input_16 = torch._C._nn.avg_pool2d(x_145, 2, 2, 0, True, False, None) - x_145 = None - input_17 = torch.conv2d( - input_16, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_18 = torch.nn.functional.batch_norm( - input_17, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_154 += input_18 - x_155 = x_154 - x_154 = input_18 = None - x_156 = torch.nn.functional.relu(x_155, inplace=True) - x_155 = None - x_157 = torch.conv2d( - x_156, - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None - x_158 = torch.nn.functional.batch_norm( - x_157, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_157 = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None - x_159 = torch.nn.functional.relu(x_158, inplace=True) - x_158 = None - x_160 = torch.conv2d( - x_159, - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_159 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None - x_161 = torch.nn.functional.batch_norm( - x_160, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_160 = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None - x_162 = torch.nn.functional.relu(x_161, inplace=True) - x_161 = None - x_163 = torch.conv2d( - x_162, - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_162 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None - x_164 = torch.nn.functional.batch_norm( - x_163, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_163 = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None - mean_14 = x_164.mean((2, 3)) - y_42 = mean_14.view(1, 1, -1) - mean_14 = None - y_43 = torch.conv1d( - y_42, - l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (3,), - (1,), - 1, - ) - y_42 = ( - l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_14 = y_43.sigmoid() - y_43 = None - y_44 = sigmoid_14.view(1, -1, 1, 1) - sigmoid_14 = None - expand_as_14 = y_44.expand_as(x_164) - y_44 = None - x_165 = x_164 * expand_as_14 - x_164 = expand_as_14 = None - x_165 += x_156 - x_166 = x_165 - x_165 = x_156 = None - x_167 = torch.nn.functional.relu(x_166, inplace=True) - x_166 = None - x_168 = torch.conv2d( - x_167, - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None - x_169 = torch.nn.functional.batch_norm( - x_168, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_168 = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None - x_170 = torch.nn.functional.relu(x_169, inplace=True) - x_169 = None - x_171 = torch.conv2d( - x_170, - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_170 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None - x_172 = torch.nn.functional.batch_norm( - x_171, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_171 = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None - x_173 = torch.nn.functional.relu(x_172, inplace=True) - x_172 = None - x_174 = torch.conv2d( - x_173, - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_173 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None - x_175 = torch.nn.functional.batch_norm( - x_174, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_174 = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None - mean_15 = x_175.mean((2, 3)) - y_45 = mean_15.view(1, 1, -1) - mean_15 = None - y_46 = torch.conv1d( - y_45, - l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (3,), - (1,), - 1, - ) - y_45 = ( - l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_15 = y_46.sigmoid() - y_46 = None - y_47 = sigmoid_15.view(1, -1, 1, 1) - sigmoid_15 = None - expand_as_15 = y_47.expand_as(x_175) - y_47 = None - x_176 = x_175 * expand_as_15 - x_175 = expand_as_15 = None - x_176 += x_167 - x_177 = x_176 - x_176 = x_167 = None - x_178 = torch.nn.functional.relu(x_177, inplace=True) - x_177 = None - x_179 = torch.nn.functional.adaptive_avg_pool2d(x_178, 1) - x_178 = None - x_180 = x_179.flatten(1, -1) - x_179 = None - x_181 = torch._C._nn.linear( - x_180, - l_self_modules_fc_parameters_weight_, - l_self_modules_fc_parameters_bias_, - ) - x_180 = ( - l_self_modules_fc_parameters_weight_ - ) = l_self_modules_fc_parameters_bias_ = None - return (x_181,) diff --git a/samples/timm/ecaresnet50d_pruned.miil_in1k/weight_meta.py b/samples/timm/ecaresnet50d_pruned.miil_in1k/weight_meta.py deleted file mode 100644 index 91bb80cf8..000000000 --- a/samples/timm/ecaresnet50d_pruned.miil_in1k/weight_meta.py +++ /dev/null @@ -1,2956 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_conv1_modules_0_parameters_weight_" - shape = [32, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.111 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.228 - std = 1.286 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_conv1_modules_1_buffers_running_mean_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_conv1_modules_1_buffers_running_var_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_conv1_modules_1_parameters_weight_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_conv1_modules_1_parameters_bias_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_: - name = "L_self_modules_conv1_modules_3_parameters_weight_" - shape = [32, 32, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.034 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_: - name = "L_self_modules_conv1_modules_4_buffers_running_mean_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_: - name = "L_self_modules_conv1_modules_4_buffers_running_var_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_: - name = "L_self_modules_conv1_modules_4_parameters_weight_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_: - name = "L_self_modules_conv1_modules_4_parameters_bias_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_: - name = "L_self_modules_conv1_modules_6_parameters_weight_" - shape = [64, 32, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.034 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_: - name = "L_self_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_: - name = "L_self_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_: - name = "L_self_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_: - name = "L_self_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_" - shape = [47, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.073 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_" - shape = [47] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_" - shape = [47] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_" - shape = [47] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_" - shape = [47] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_" - shape = [18, 47, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.028 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_" - shape = [18] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_" - shape = [18] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_" - shape = [18] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_" - shape = [18] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_" - shape = [19, 18, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.008 - std = 0.144 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.065 - std = 0.415 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [19, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.072 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_" - shape = [52, 19, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.133 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_" - shape = [22, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.027 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_" - shape = [22] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_" - shape = [22] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_" - shape = [22] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_" - shape = [22] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_" - shape = [19, 22, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.124 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.087 - std = 0.227 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_" - shape = [64, 19, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.134 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_" - shape = [35, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_" - shape = [35] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_" - shape = [35] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_" - shape = [35] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_" - shape = [35] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_" - shape = [19, 35, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.096 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_" - shape = [19] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.007 - std = 0.283 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_" - shape = [85, 19, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.135 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_" - shape = [85] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_" - shape = [85] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_" - shape = [85] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_" - shape = [85] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_" - shape = [37, 85, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_" - shape = [37] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_" - shape = [37] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_" - shape = [37] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_" - shape = [37] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_" - shape = [171, 37, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.095 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.046 - std = 0.198 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [171, 19, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.131 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_" - shape = [107, 171, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_" - shape = [107] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_" - shape = [107] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_" - shape = [107] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_" - shape = [107] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_" - shape = [80, 107, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_" - shape = [80] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_" - shape = [80] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_" - shape = [80] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_" - shape = [80] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_" - shape = [171, 80, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.023 - std = 0.237 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_" - shape = [120, 171, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_" - shape = [120] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_" - shape = [120] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_" - shape = [120] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_" - shape = [120] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_" - shape = [85, 120, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_" - shape = [85] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_" - shape = [85] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_" - shape = [85] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_" - shape = [85] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_" - shape = [171, 85, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.167 - std = 0.235 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_" - shape = [125, 171, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_" - shape = [125] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_" - shape = [125] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_" - shape = [125] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_" - shape = [125] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_" - shape = [87, 125, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_" - shape = [87] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_" - shape = [87] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_" - shape = [87] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_" - shape = [87] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_" - shape = [171, 87, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_" - shape = [171] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.064 - std = 0.302 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_" - shape = [198, 171, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_" - shape = [198] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_" - shape = [198] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_" - shape = [198] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_" - shape = [198] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_" - shape = [126, 198, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_" - shape = [126] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_" - shape = [126] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_" - shape = [126] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_" - shape = [126] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_" - shape = [818, 126, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.051 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.126 - std = 0.275 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [818, 171, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_" - shape = [255, 818, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_" - shape = [255] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_" - shape = [232, 255, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_" - shape = [232] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_" - shape = [232] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_" - shape = [232] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_" - shape = [232] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_" - shape = [818, 232, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.038 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.227 - std = 0.202 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_" - shape = [256, 818, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_" - shape = [233, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_" - shape = [233] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_" - shape = [233] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_" - shape = [233] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_" - shape = [233] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_" - shape = [818, 233, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.038 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.200 - std = 0.136 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_" - shape = [253, 818, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_" - shape = [253] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_" - shape = [235, 253, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_" - shape = [235] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_" - shape = [235] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_" - shape = [235] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_" - shape = [235] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_" - shape = [818, 235, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.038 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.133 - std = 0.276 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_" - shape = [256, 818, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_" - shape = [225, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_" - shape = [225] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_" - shape = [225] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_" - shape = [225] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_" - shape = [225] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_" - shape = [818, 225, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.039 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.349 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_" - shape = [256, 818, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_" - shape = [239, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_" - shape = [239] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_" - shape = [239] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_" - shape = [239] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_" - shape = [239] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_" - shape = [818, 239, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.037 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_" - shape = [818] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.111 - std = 0.162 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_" - shape = [492, 818, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_" - shape = [492] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_" - shape = [492] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_" - shape = [492] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_" - shape = [492] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_" - shape = [237, 492, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.009 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_" - shape = [237] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_" - shape = [237] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_" - shape = [237] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_" - shape = [237] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_" - shape = [2022, 237, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.038 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.026 - std = 0.255 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [2022, 818, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_" - shape = [512, 2022, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_" - shape = [500, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.009 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_" - shape = [500] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_" - shape = [500] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_" - shape = [500] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_" - shape = [500] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_" - shape = [2022, 500, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.031 - std = 0.176 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_" - shape = [512, 2022, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_" - shape = [490, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.009 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_" - shape = [490] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_" - shape = [490] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_" - shape = [490] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_" - shape = [490] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_" - shape = [2022, 490, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_" - shape = [2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.008 - std = 0.252 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [1000, 2022] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: - name = "L_self_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.013 - data = None diff --git a/samples/timm/ecaresnet50t.a1_in1k/graph_hash.txt b/samples/timm/ecaresnet50t.a1_in1k/graph_hash.txt deleted file mode 100644 index 0f7d44deb..000000000 --- a/samples/timm/ecaresnet50t.a1_in1k/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -2f057d89b7a77e6164434a9bfcce292ddbbce7f6791af6f72cddd7907d7c778d \ No newline at end of file diff --git a/samples/timm/ecaresnet50t.a1_in1k/graph_net.json b/samples/timm/ecaresnet50t.a1_in1k/graph_net.json deleted file mode 100644 index 5a6dada2f..000000000 --- a/samples/timm/ecaresnet50t.a1_in1k/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "timm", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/timm/ecaresnet50t.a1_in1k/input_meta.py b/samples/timm/ecaresnet50t.a1_in1k/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/ecaresnet50t.a1_in1k/input_tensor_constraints.py b/samples/timm/ecaresnet50t.a1_in1k/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/ecaresnet50t.a1_in1k/model.py b/samples/timm/ecaresnet50t.a1_in1k/model.py deleted file mode 100644 index 489c757f2..000000000 --- a/samples/timm/ecaresnet50t.a1_in1k/model.py +++ /dev/null @@ -1,3151 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor, - L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor, - L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_conv1_modules_0_parameters_weight_ = ( - L_self_modules_conv1_modules_0_parameters_weight_ - ) - l_x_ = L_x_ - l_self_modules_conv1_modules_1_buffers_running_mean_ = ( - L_self_modules_conv1_modules_1_buffers_running_mean_ - ) - l_self_modules_conv1_modules_1_buffers_running_var_ = ( - L_self_modules_conv1_modules_1_buffers_running_var_ - ) - l_self_modules_conv1_modules_1_parameters_weight_ = ( - L_self_modules_conv1_modules_1_parameters_weight_ - ) - l_self_modules_conv1_modules_1_parameters_bias_ = ( - L_self_modules_conv1_modules_1_parameters_bias_ - ) - l_self_modules_conv1_modules_3_parameters_weight_ = ( - L_self_modules_conv1_modules_3_parameters_weight_ - ) - l_self_modules_conv1_modules_4_buffers_running_mean_ = ( - L_self_modules_conv1_modules_4_buffers_running_mean_ - ) - l_self_modules_conv1_modules_4_buffers_running_var_ = ( - L_self_modules_conv1_modules_4_buffers_running_var_ - ) - l_self_modules_conv1_modules_4_parameters_weight_ = ( - L_self_modules_conv1_modules_4_parameters_weight_ - ) - l_self_modules_conv1_modules_4_parameters_bias_ = ( - L_self_modules_conv1_modules_4_parameters_bias_ - ) - l_self_modules_conv1_modules_6_parameters_weight_ = ( - L_self_modules_conv1_modules_6_parameters_weight_ - ) - l_self_modules_bn1_buffers_running_mean_ = ( - L_self_modules_bn1_buffers_running_mean_ - ) - l_self_modules_bn1_buffers_running_var_ = ( - L_self_modules_bn1_buffers_running_var_ - ) - l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_ - l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_ - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ - ) - l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ - l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - input_1 = torch.conv2d( - l_x_, - l_self_modules_conv1_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None - input_2 = torch.nn.functional.batch_norm( - input_1, - l_self_modules_conv1_modules_1_buffers_running_mean_, - l_self_modules_conv1_modules_1_buffers_running_var_, - l_self_modules_conv1_modules_1_parameters_weight_, - l_self_modules_conv1_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_1 = ( - l_self_modules_conv1_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_conv1_modules_1_buffers_running_var_ - ) = ( - l_self_modules_conv1_modules_1_parameters_weight_ - ) = l_self_modules_conv1_modules_1_parameters_bias_ = None - input_3 = torch.nn.functional.relu(input_2, inplace=True) - input_2 = None - input_4 = torch.conv2d( - input_3, - l_self_modules_conv1_modules_3_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None - input_5 = torch.nn.functional.batch_norm( - input_4, - l_self_modules_conv1_modules_4_buffers_running_mean_, - l_self_modules_conv1_modules_4_buffers_running_var_, - l_self_modules_conv1_modules_4_parameters_weight_, - l_self_modules_conv1_modules_4_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_4 = ( - l_self_modules_conv1_modules_4_buffers_running_mean_ - ) = ( - l_self_modules_conv1_modules_4_buffers_running_var_ - ) = ( - l_self_modules_conv1_modules_4_parameters_weight_ - ) = l_self_modules_conv1_modules_4_parameters_bias_ = None - input_6 = torch.nn.functional.relu(input_5, inplace=True) - input_5 = None - input_7 = torch.conv2d( - input_6, - l_self_modules_conv1_modules_6_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None - x = torch.nn.functional.batch_norm( - input_7, - l_self_modules_bn1_buffers_running_mean_, - l_self_modules_bn1_buffers_running_var_, - l_self_modules_bn1_parameters_weight_, - l_self_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_7 = ( - l_self_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_bn1_parameters_weight_ - ) = l_self_modules_bn1_parameters_bias_ = None - x_1 = torch.nn.functional.relu(x, inplace=True) - x = None - x_2 = torch.nn.functional.max_pool2d( - x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False - ) - x_1 = None - x_3 = torch.conv2d( - x_2, - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None - x_4 = torch.nn.functional.batch_norm( - x_3, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_3 = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None - x_5 = torch.nn.functional.relu(x_4, inplace=True) - x_4 = None - x_6 = torch.conv2d( - x_5, - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_5 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None - x_7 = torch.nn.functional.batch_norm( - x_6, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_6 = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None - x_8 = torch.nn.functional.relu(x_7, inplace=True) - x_7 = None - x_9 = torch.conv2d( - x_8, - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_8 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None - x_10 = torch.nn.functional.batch_norm( - x_9, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_9 = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None - mean = x_10.mean((2, 3)) - sym_sum = torch.sym_sum([-1, s1]) - s1 = None - floordiv = sym_sum // 4 - sym_sum_1 = torch.sym_sum([1, floordiv]) - floordiv = sym_sum_1 = None - y = mean.view(1, 1, -1) - mean = None - y_1 = torch.conv1d( - y, - l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y = ( - l_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid = y_1.sigmoid() - y_1 = None - y_2 = sigmoid.view(1, -1, 1, 1) - sigmoid = None - expand_as = y_2.expand_as(x_10) - y_2 = None - x_11 = x_10 * expand_as - x_10 = expand_as = None - input_8 = torch.conv2d( - x_2, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_9 = torch.nn.functional.batch_norm( - input_8, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_11 += input_9 - x_12 = x_11 - x_11 = input_9 = None - x_13 = torch.nn.functional.relu(x_12, inplace=True) - x_12 = None - x_14 = torch.conv2d( - x_13, - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None - x_15 = torch.nn.functional.batch_norm( - x_14, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_14 = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None - x_16 = torch.nn.functional.relu(x_15, inplace=True) - x_15 = None - x_17 = torch.conv2d( - x_16, - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_16 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None - x_18 = torch.nn.functional.batch_norm( - x_17, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_17 = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None - x_19 = torch.nn.functional.relu(x_18, inplace=True) - x_18 = None - x_20 = torch.conv2d( - x_19, - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_19 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None - x_21 = torch.nn.functional.batch_norm( - x_20, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_20 = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None - mean_1 = x_21.mean((2, 3)) - y_3 = mean_1.view(1, 1, -1) - mean_1 = None - y_4 = torch.conv1d( - y_3, - l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_3 = ( - l_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_1 = y_4.sigmoid() - y_4 = None - y_5 = sigmoid_1.view(1, -1, 1, 1) - sigmoid_1 = None - expand_as_1 = y_5.expand_as(x_21) - y_5 = None - x_22 = x_21 * expand_as_1 - x_21 = expand_as_1 = None - x_22 += x_13 - x_23 = x_22 - x_22 = x_13 = None - x_24 = torch.nn.functional.relu(x_23, inplace=True) - x_23 = None - x_25 = torch.conv2d( - x_24, - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None - x_26 = torch.nn.functional.batch_norm( - x_25, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_25 = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None - x_27 = torch.nn.functional.relu(x_26, inplace=True) - x_26 = None - x_28 = torch.conv2d( - x_27, - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_27 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None - x_29 = torch.nn.functional.batch_norm( - x_28, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_28 = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None - x_30 = torch.nn.functional.relu(x_29, inplace=True) - x_29 = None - x_31 = torch.conv2d( - x_30, - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_30 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None - x_32 = torch.nn.functional.batch_norm( - x_31, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_31 = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None - mean_2 = x_32.mean((2, 3)) - y_6 = mean_2.view(1, 1, -1) - mean_2 = None - y_7 = torch.conv1d( - y_6, - l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_6 = ( - l_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_2 = y_7.sigmoid() - y_7 = None - y_8 = sigmoid_2.view(1, -1, 1, 1) - sigmoid_2 = None - expand_as_2 = y_8.expand_as(x_32) - y_8 = None - x_33 = x_32 * expand_as_2 - x_32 = expand_as_2 = None - x_33 += x_24 - x_34 = x_33 - x_33 = x_24 = None - x_35 = torch.nn.functional.relu(x_34, inplace=True) - x_34 = None - x_36 = torch.conv2d( - x_35, - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None - x_37 = torch.nn.functional.batch_norm( - x_36, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_36 = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None - x_38 = torch.nn.functional.relu(x_37, inplace=True) - x_37 = None - x_39 = torch.conv2d( - x_38, - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - x_38 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None - x_40 = torch.nn.functional.batch_norm( - x_39, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_39 = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None - x_41 = torch.nn.functional.relu(x_40, inplace=True) - x_40 = None - x_42 = torch.conv2d( - x_41, - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_41 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None - x_43 = torch.nn.functional.batch_norm( - x_42, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_42 = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None - mean_3 = x_43.mean((2, 3)) - floordiv_1 = sym_sum // 8 - sym_sum_2 = torch.sym_sum([1, floordiv_1]) - floordiv_1 = sym_sum_2 = None - y_9 = mean_3.view(1, 1, -1) - mean_3 = None - y_10 = torch.conv1d( - y_9, - l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_9 = ( - l_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_3 = y_10.sigmoid() - y_10 = None - y_11 = sigmoid_3.view(1, -1, 1, 1) - sigmoid_3 = None - expand_as_3 = y_11.expand_as(x_43) - y_11 = None - x_44 = x_43 * expand_as_3 - x_43 = expand_as_3 = None - input_10 = torch._C._nn.avg_pool2d(x_35, 2, 2, 0, True, False, None) - x_35 = None - input_11 = torch.conv2d( - input_10, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_12 = torch.nn.functional.batch_norm( - input_11, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_44 += input_12 - x_45 = x_44 - x_44 = input_12 = None - x_46 = torch.nn.functional.relu(x_45, inplace=True) - x_45 = None - x_47 = torch.conv2d( - x_46, - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None - x_48 = torch.nn.functional.batch_norm( - x_47, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_47 = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None - x_49 = torch.nn.functional.relu(x_48, inplace=True) - x_48 = None - x_50 = torch.conv2d( - x_49, - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_49 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None - x_51 = torch.nn.functional.batch_norm( - x_50, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_50 = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None - x_52 = torch.nn.functional.relu(x_51, inplace=True) - x_51 = None - x_53 = torch.conv2d( - x_52, - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_52 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None - x_54 = torch.nn.functional.batch_norm( - x_53, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_53 = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None - mean_4 = x_54.mean((2, 3)) - y_12 = mean_4.view(1, 1, -1) - mean_4 = None - y_13 = torch.conv1d( - y_12, - l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_12 = ( - l_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_4 = y_13.sigmoid() - y_13 = None - y_14 = sigmoid_4.view(1, -1, 1, 1) - sigmoid_4 = None - expand_as_4 = y_14.expand_as(x_54) - y_14 = None - x_55 = x_54 * expand_as_4 - x_54 = expand_as_4 = None - x_55 += x_46 - x_56 = x_55 - x_55 = x_46 = None - x_57 = torch.nn.functional.relu(x_56, inplace=True) - x_56 = None - x_58 = torch.conv2d( - x_57, - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None - x_59 = torch.nn.functional.batch_norm( - x_58, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_58 = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None - x_60 = torch.nn.functional.relu(x_59, inplace=True) - x_59 = None - x_61 = torch.conv2d( - x_60, - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_60 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None - x_62 = torch.nn.functional.batch_norm( - x_61, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_61 = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None - x_63 = torch.nn.functional.relu(x_62, inplace=True) - x_62 = None - x_64 = torch.conv2d( - x_63, - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_63 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None - x_65 = torch.nn.functional.batch_norm( - x_64, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_64 = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None - mean_5 = x_65.mean((2, 3)) - y_15 = mean_5.view(1, 1, -1) - mean_5 = None - y_16 = torch.conv1d( - y_15, - l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_15 = ( - l_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_5 = y_16.sigmoid() - y_16 = None - y_17 = sigmoid_5.view(1, -1, 1, 1) - sigmoid_5 = None - expand_as_5 = y_17.expand_as(x_65) - y_17 = None - x_66 = x_65 * expand_as_5 - x_65 = expand_as_5 = None - x_66 += x_57 - x_67 = x_66 - x_66 = x_57 = None - x_68 = torch.nn.functional.relu(x_67, inplace=True) - x_67 = None - x_69 = torch.conv2d( - x_68, - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None - x_70 = torch.nn.functional.batch_norm( - x_69, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_69 = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None - x_71 = torch.nn.functional.relu(x_70, inplace=True) - x_70 = None - x_72 = torch.conv2d( - x_71, - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_71 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None - x_73 = torch.nn.functional.batch_norm( - x_72, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_72 = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None - x_74 = torch.nn.functional.relu(x_73, inplace=True) - x_73 = None - x_75 = torch.conv2d( - x_74, - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_74 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None - x_76 = torch.nn.functional.batch_norm( - x_75, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_75 = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None - mean_6 = x_76.mean((2, 3)) - y_18 = mean_6.view(1, 1, -1) - mean_6 = None - y_19 = torch.conv1d( - y_18, - l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_18 = ( - l_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_6 = y_19.sigmoid() - y_19 = None - y_20 = sigmoid_6.view(1, -1, 1, 1) - sigmoid_6 = None - expand_as_6 = y_20.expand_as(x_76) - y_20 = None - x_77 = x_76 * expand_as_6 - x_76 = expand_as_6 = None - x_77 += x_68 - x_78 = x_77 - x_77 = x_68 = None - x_79 = torch.nn.functional.relu(x_78, inplace=True) - x_78 = None - x_80 = torch.conv2d( - x_79, - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None - x_81 = torch.nn.functional.batch_norm( - x_80, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_80 = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None - x_82 = torch.nn.functional.relu(x_81, inplace=True) - x_81 = None - x_83 = torch.conv2d( - x_82, - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - x_82 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None - x_84 = torch.nn.functional.batch_norm( - x_83, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_83 = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None - x_85 = torch.nn.functional.relu(x_84, inplace=True) - x_84 = None - x_86 = torch.conv2d( - x_85, - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_85 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None - x_87 = torch.nn.functional.batch_norm( - x_86, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_86 = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None - mean_7 = x_87.mean((2, 3)) - floordiv_2 = sym_sum // 16 - sym_sum_3 = torch.sym_sum([1, floordiv_2]) - floordiv_2 = sym_sum_3 = None - y_21 = mean_7.view(1, 1, -1) - mean_7 = None - y_22 = torch.conv1d( - y_21, - l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_21 = ( - l_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_7 = y_22.sigmoid() - y_22 = None - y_23 = sigmoid_7.view(1, -1, 1, 1) - sigmoid_7 = None - expand_as_7 = y_23.expand_as(x_87) - y_23 = None - x_88 = x_87 * expand_as_7 - x_87 = expand_as_7 = None - input_13 = torch._C._nn.avg_pool2d(x_79, 2, 2, 0, True, False, None) - x_79 = None - input_14 = torch.conv2d( - input_13, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_15 = torch.nn.functional.batch_norm( - input_14, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_88 += input_15 - x_89 = x_88 - x_88 = input_15 = None - x_90 = torch.nn.functional.relu(x_89, inplace=True) - x_89 = None - x_91 = torch.conv2d( - x_90, - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None - x_92 = torch.nn.functional.batch_norm( - x_91, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_91 = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None - x_93 = torch.nn.functional.relu(x_92, inplace=True) - x_92 = None - x_94 = torch.conv2d( - x_93, - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_93 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None - x_95 = torch.nn.functional.batch_norm( - x_94, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_94 = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None - x_96 = torch.nn.functional.relu(x_95, inplace=True) - x_95 = None - x_97 = torch.conv2d( - x_96, - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_96 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None - x_98 = torch.nn.functional.batch_norm( - x_97, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_97 = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None - mean_8 = x_98.mean((2, 3)) - y_24 = mean_8.view(1, 1, -1) - mean_8 = None - y_25 = torch.conv1d( - y_24, - l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_24 = ( - l_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_8 = y_25.sigmoid() - y_25 = None - y_26 = sigmoid_8.view(1, -1, 1, 1) - sigmoid_8 = None - expand_as_8 = y_26.expand_as(x_98) - y_26 = None - x_99 = x_98 * expand_as_8 - x_98 = expand_as_8 = None - x_99 += x_90 - x_100 = x_99 - x_99 = x_90 = None - x_101 = torch.nn.functional.relu(x_100, inplace=True) - x_100 = None - x_102 = torch.conv2d( - x_101, - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None - x_103 = torch.nn.functional.batch_norm( - x_102, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_102 = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None - x_104 = torch.nn.functional.relu(x_103, inplace=True) - x_103 = None - x_105 = torch.conv2d( - x_104, - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_104 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None - x_106 = torch.nn.functional.batch_norm( - x_105, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_105 = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None - x_107 = torch.nn.functional.relu(x_106, inplace=True) - x_106 = None - x_108 = torch.conv2d( - x_107, - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_107 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None - x_109 = torch.nn.functional.batch_norm( - x_108, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_108 = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None - mean_9 = x_109.mean((2, 3)) - y_27 = mean_9.view(1, 1, -1) - mean_9 = None - y_28 = torch.conv1d( - y_27, - l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_27 = ( - l_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_9 = y_28.sigmoid() - y_28 = None - y_29 = sigmoid_9.view(1, -1, 1, 1) - sigmoid_9 = None - expand_as_9 = y_29.expand_as(x_109) - y_29 = None - x_110 = x_109 * expand_as_9 - x_109 = expand_as_9 = None - x_110 += x_101 - x_111 = x_110 - x_110 = x_101 = None - x_112 = torch.nn.functional.relu(x_111, inplace=True) - x_111 = None - x_113 = torch.conv2d( - x_112, - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None - x_114 = torch.nn.functional.batch_norm( - x_113, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_113 = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None - x_115 = torch.nn.functional.relu(x_114, inplace=True) - x_114 = None - x_116 = torch.conv2d( - x_115, - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_115 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None - x_117 = torch.nn.functional.batch_norm( - x_116, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_116 = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None - x_118 = torch.nn.functional.relu(x_117, inplace=True) - x_117 = None - x_119 = torch.conv2d( - x_118, - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_118 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None - x_120 = torch.nn.functional.batch_norm( - x_119, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_119 = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None - mean_10 = x_120.mean((2, 3)) - y_30 = mean_10.view(1, 1, -1) - mean_10 = None - y_31 = torch.conv1d( - y_30, - l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_30 = ( - l_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_10 = y_31.sigmoid() - y_31 = None - y_32 = sigmoid_10.view(1, -1, 1, 1) - sigmoid_10 = None - expand_as_10 = y_32.expand_as(x_120) - y_32 = None - x_121 = x_120 * expand_as_10 - x_120 = expand_as_10 = None - x_121 += x_112 - x_122 = x_121 - x_121 = x_112 = None - x_123 = torch.nn.functional.relu(x_122, inplace=True) - x_122 = None - x_124 = torch.conv2d( - x_123, - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None - x_125 = torch.nn.functional.batch_norm( - x_124, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_124 = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None - x_126 = torch.nn.functional.relu(x_125, inplace=True) - x_125 = None - x_127 = torch.conv2d( - x_126, - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_126 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None - x_128 = torch.nn.functional.batch_norm( - x_127, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_127 = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None - x_129 = torch.nn.functional.relu(x_128, inplace=True) - x_128 = None - x_130 = torch.conv2d( - x_129, - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_129 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None - x_131 = torch.nn.functional.batch_norm( - x_130, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_130 = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None - mean_11 = x_131.mean((2, 3)) - y_33 = mean_11.view(1, 1, -1) - mean_11 = None - y_34 = torch.conv1d( - y_33, - l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_33 = ( - l_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_11 = y_34.sigmoid() - y_34 = None - y_35 = sigmoid_11.view(1, -1, 1, 1) - sigmoid_11 = None - expand_as_11 = y_35.expand_as(x_131) - y_35 = None - x_132 = x_131 * expand_as_11 - x_131 = expand_as_11 = None - x_132 += x_123 - x_133 = x_132 - x_132 = x_123 = None - x_134 = torch.nn.functional.relu(x_133, inplace=True) - x_133 = None - x_135 = torch.conv2d( - x_134, - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None - x_136 = torch.nn.functional.batch_norm( - x_135, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_135 = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None - x_137 = torch.nn.functional.relu(x_136, inplace=True) - x_136 = None - x_138 = torch.conv2d( - x_137, - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_137 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None - x_139 = torch.nn.functional.batch_norm( - x_138, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_138 = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None - x_140 = torch.nn.functional.relu(x_139, inplace=True) - x_139 = None - x_141 = torch.conv2d( - x_140, - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_140 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None - x_142 = torch.nn.functional.batch_norm( - x_141, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_141 = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None - mean_12 = x_142.mean((2, 3)) - y_36 = mean_12.view(1, 1, -1) - mean_12 = None - y_37 = torch.conv1d( - y_36, - l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (2,), - (1,), - 1, - ) - y_36 = ( - l_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_12 = y_37.sigmoid() - y_37 = None - y_38 = sigmoid_12.view(1, -1, 1, 1) - sigmoid_12 = None - expand_as_12 = y_38.expand_as(x_142) - y_38 = None - x_143 = x_142 * expand_as_12 - x_142 = expand_as_12 = None - x_143 += x_134 - x_144 = x_143 - x_143 = x_134 = None - x_145 = torch.nn.functional.relu(x_144, inplace=True) - x_144 = None - x_146 = torch.conv2d( - x_145, - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None - x_147 = torch.nn.functional.batch_norm( - x_146, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_146 = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None - x_148 = torch.nn.functional.relu(x_147, inplace=True) - x_147 = None - x_149 = torch.conv2d( - x_148, - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - x_148 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None - x_150 = torch.nn.functional.batch_norm( - x_149, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_149 = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None - x_151 = torch.nn.functional.relu(x_150, inplace=True) - x_150 = None - x_152 = torch.conv2d( - x_151, - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_151 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None - x_153 = torch.nn.functional.batch_norm( - x_152, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_152 = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None - mean_13 = x_153.mean((2, 3)) - floordiv_3 = sym_sum // 32 - sym_sum = None - sym_sum_4 = torch.sym_sum([1, floordiv_3]) - floordiv_3 = sym_sum_4 = None - y_39 = mean_13.view(1, 1, -1) - mean_13 = None - y_40 = torch.conv1d( - y_39, - l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (3,), - (1,), - 1, - ) - y_39 = ( - l_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_13 = y_40.sigmoid() - y_40 = None - y_41 = sigmoid_13.view(1, -1, 1, 1) - sigmoid_13 = None - expand_as_13 = y_41.expand_as(x_153) - y_41 = None - x_154 = x_153 * expand_as_13 - x_153 = expand_as_13 = None - input_16 = torch._C._nn.avg_pool2d(x_145, 2, 2, 0, True, False, None) - x_145 = None - input_17 = torch.conv2d( - input_16, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_18 = torch.nn.functional.batch_norm( - input_17, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - x_154 += input_18 - x_155 = x_154 - x_154 = input_18 = None - x_156 = torch.nn.functional.relu(x_155, inplace=True) - x_155 = None - x_157 = torch.conv2d( - x_156, - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None - x_158 = torch.nn.functional.batch_norm( - x_157, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_157 = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None - x_159 = torch.nn.functional.relu(x_158, inplace=True) - x_158 = None - x_160 = torch.conv2d( - x_159, - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_159 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None - x_161 = torch.nn.functional.batch_norm( - x_160, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_160 = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None - x_162 = torch.nn.functional.relu(x_161, inplace=True) - x_161 = None - x_163 = torch.conv2d( - x_162, - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_162 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None - x_164 = torch.nn.functional.batch_norm( - x_163, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_163 = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None - mean_14 = x_164.mean((2, 3)) - y_42 = mean_14.view(1, 1, -1) - mean_14 = None - y_43 = torch.conv1d( - y_42, - l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (3,), - (1,), - 1, - ) - y_42 = ( - l_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_14 = y_43.sigmoid() - y_43 = None - y_44 = sigmoid_14.view(1, -1, 1, 1) - sigmoid_14 = None - expand_as_14 = y_44.expand_as(x_164) - y_44 = None - x_165 = x_164 * expand_as_14 - x_164 = expand_as_14 = None - x_165 += x_156 - x_166 = x_165 - x_165 = x_156 = None - x_167 = torch.nn.functional.relu(x_166, inplace=True) - x_166 = None - x_168 = torch.conv2d( - x_167, - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None - x_169 = torch.nn.functional.batch_norm( - x_168, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_168 = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None - x_170 = torch.nn.functional.relu(x_169, inplace=True) - x_169 = None - x_171 = torch.conv2d( - x_170, - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_170 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None - x_172 = torch.nn.functional.batch_norm( - x_171, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_171 = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None - x_173 = torch.nn.functional.relu(x_172, inplace=True) - x_172 = None - x_174 = torch.conv2d( - x_173, - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_173 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None - x_175 = torch.nn.functional.batch_norm( - x_174, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_174 = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None - mean_15 = x_175.mean((2, 3)) - y_45 = mean_15.view(1, 1, -1) - mean_15 = None - y_46 = torch.conv1d( - y_45, - l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_, - None, - (1,), - (3,), - (1,), - 1, - ) - y_45 = ( - l_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_ - ) = None - sigmoid_15 = y_46.sigmoid() - y_46 = None - y_47 = sigmoid_15.view(1, -1, 1, 1) - sigmoid_15 = None - expand_as_15 = y_47.expand_as(x_175) - y_47 = None - x_176 = x_175 * expand_as_15 - x_175 = expand_as_15 = None - x_176 += x_167 - x_177 = x_176 - x_176 = x_167 = None - x_178 = torch.nn.functional.relu(x_177, inplace=True) - x_177 = None - x_179 = torch.nn.functional.adaptive_avg_pool2d(x_178, 1) - x_178 = None - x_180 = x_179.flatten(1, -1) - x_179 = None - x_181 = torch._C._nn.linear( - x_180, - l_self_modules_fc_parameters_weight_, - l_self_modules_fc_parameters_bias_, - ) - x_180 = ( - l_self_modules_fc_parameters_weight_ - ) = l_self_modules_fc_parameters_bias_ = None - return (x_181,) diff --git a/samples/timm/ecaresnet50t.a1_in1k/weight_meta.py b/samples/timm/ecaresnet50t.a1_in1k/weight_meta.py deleted file mode 100644 index ff2eebe56..000000000 --- a/samples/timm/ecaresnet50t.a1_in1k/weight_meta.py +++ /dev/null @@ -1,2956 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_conv1_modules_0_parameters_weight_" - shape = [24, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.003 - std = 0.093 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.229 - std = 1.285 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_conv1_modules_1_buffers_running_mean_" - shape = [24] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_conv1_modules_1_buffers_running_var_" - shape = [24] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_conv1_modules_1_parameters_weight_" - shape = [24] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_conv1_modules_1_parameters_bias_" - shape = [24] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_: - name = "L_self_modules_conv1_modules_3_parameters_weight_" - shape = [32, 24, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.084 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_: - name = "L_self_modules_conv1_modules_4_buffers_running_mean_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_: - name = "L_self_modules_conv1_modules_4_buffers_running_var_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_: - name = "L_self_modules_conv1_modules_4_parameters_weight_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_: - name = "L_self_modules_conv1_modules_4_parameters_bias_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_: - name = "L_self_modules_conv1_modules_6_parameters_weight_" - shape = [64, 32, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_: - name = "L_self_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_: - name = "L_self_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_: - name = "L_self_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_: - name = "L_self_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_" - shape = [64, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.178 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_" - shape = [64, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_" - shape = [256, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.053 - std = 0.247 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [256, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_" - shape = [64, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.177 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_" - shape = [64, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_" - shape = [256, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.041 - std = 0.352 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_" - shape = [64, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.178 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_" - shape = [64, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_" - shape = [256, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.008 - std = 0.279 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_" - shape = [128, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.125 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_" - shape = [512, 128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.198 - std = 0.169 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_" - shape = [128, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.125 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.041 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_" - shape = [512, 128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.019 - std = 0.191 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_" - shape = [128, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.126 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_" - shape = [512, 128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.019 - std = 0.253 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_" - shape = [128, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.125 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_" - shape = [512, 128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.006 - std = 0.306 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_" - shape = [256, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_" - shape = [1024, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.016 - std = 0.186 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_" - shape = [256, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_" - shape = [1024, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.226 - std = 0.244 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_" - shape = [256, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_" - shape = [1024, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.176 - std = 0.243 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_" - shape = [256, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_" - shape = [1024, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.042 - std = 0.347 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_" - shape = [256, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_" - shape = [1024, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.027 - std = 0.281 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_" - shape = [256, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_" - shape = [1024, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 5] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.057 - std = 0.242 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_" - shape = [2048, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.016 - std = 0.296 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_" - shape = [512, 2048, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_" - shape = [2048, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.074 - std = 0.230 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_" - shape = [512, 2048, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_" - shape = [2048, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_se_modules_conv_parameters_weight_" - shape = [1, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.002 - std = 0.220 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [1000, 2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: - name = "L_self_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.012 - data = None diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/graph_hash.txt b/samples/timm/fastvit_t12.apple_dist_in1k/graph_hash.txt deleted file mode 100644 index f59d0854a..000000000 --- a/samples/timm/fastvit_t12.apple_dist_in1k/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -7f1fbda29cd5ea398f810b2c3039d664ee0c763a88e0933514d4429b524306e9 \ No newline at end of file diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/graph_net.json b/samples/timm/fastvit_t12.apple_dist_in1k/graph_net.json deleted file mode 100644 index 5a6dada2f..000000000 --- a/samples/timm/fastvit_t12.apple_dist_in1k/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "timm", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/input_meta.py b/samples/timm/fastvit_t12.apple_dist_in1k/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/input_tensor_constraints.py b/samples/timm/fastvit_t12.apple_dist_in1k/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/model.py b/samples/timm/fastvit_t12.apple_dist_in1k/model.py deleted file mode 100644 index f389dce5c..000000000 --- a/samples/timm/fastvit_t12.apple_dist_in1k/model.py +++ /dev/null @@ -1,3129 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stem_modules_2_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stem_modules_2_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_2_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_ - l_x_ = L_x_ - l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_ = ( - L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_ - ) - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_ = ( - L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_ - ) - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_ = ( - L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_ - ) - l_self_modules_stem_modules_2_modules_identity_buffers_running_var_ = ( - L_self_modules_stem_modules_2_modules_identity_buffers_running_var_ - ) - l_self_modules_stem_modules_2_modules_identity_parameters_weight_ = ( - L_self_modules_stem_modules_2_modules_identity_parameters_weight_ - ) - l_self_modules_stem_modules_2_modules_identity_parameters_bias_ = ( - L_self_modules_stem_modules_2_modules_identity_parameters_bias_ - ) - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ - l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_ = ( - L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_ - ) - l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_ = L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_ - l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_ = ( - L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_ - ) - l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_ = ( - L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_ - ) - l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_ = ( - L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_ - ) - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ - l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_ = ( - L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_ - ) - l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_ = ( - L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_ - ) - l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_ = ( - L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_ - ) - l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_ = ( - L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_ - ) - l_self_modules_head_modules_fc_parameters_weight_ = ( - L_self_modules_head_modules_fc_parameters_weight_ - ) - l_self_modules_head_modules_fc_parameters_bias_ = ( - L_self_modules_head_modules_fc_parameters_bias_ - ) - x = torch.conv2d( - l_x_, - l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_1 = torch.nn.functional.batch_norm( - x, - l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_ = ( - l_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_ - ) = None - out = x_1 + 0 - x_1 = None - x_2 = torch.conv2d( - l_x_, - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - l_x_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None) - x_3 = torch.nn.functional.batch_norm( - x_2, - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_2 = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out += x_3 - out_1 = out - out = x_3 = None - input_1 = torch._C._nn.gelu(out_1, approximate="none") - out_1 = None - x_4 = torch.conv2d( - input_1, - l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 64, - ) - l_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_5 = torch.nn.functional.batch_norm( - x_4, - l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_4 = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_ = ( - l_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_ - ) = None - out_2 = x_5 + 0 - x_5 = None - x_6 = torch.conv2d( - input_1, - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 64, - ) - input_1 = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None) - x_7 = torch.nn.functional.batch_norm( - x_6, - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_6 = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_2 += x_7 - out_3 = out_2 - out_2 = x_7 = None - input_2 = torch._C._nn.gelu(out_3, approximate="none") - out_3 = None - identity_out = torch.nn.functional.batch_norm( - input_2, - l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_, - l_self_modules_stem_modules_2_modules_identity_buffers_running_var_, - l_self_modules_stem_modules_2_modules_identity_parameters_weight_, - l_self_modules_stem_modules_2_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stem_modules_2_modules_identity_buffers_running_mean_ = ( - l_self_modules_stem_modules_2_modules_identity_buffers_running_var_ - ) = ( - l_self_modules_stem_modules_2_modules_identity_parameters_weight_ - ) = l_self_modules_stem_modules_2_modules_identity_parameters_bias_ = None - out_4 = 0 + identity_out - identity_out = None - x_8 = torch.conv2d( - input_2, - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_2 = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None) - x_9 = torch.nn.functional.batch_norm( - x_8, - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_8 = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_4 += x_9 - out_5 = out_4 - out_4 = x_9 = None - input_3 = torch._C._nn.gelu(out_5, approximate="none") - out_5 = None - identity_out_1 = torch.nn.functional.batch_norm( - input_3, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_10 = torch.conv2d( - input_3, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 64, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_11 = torch.nn.functional.batch_norm( - x_10, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_10 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_6 = x_11 + identity_out_1 - x_11 = identity_out_1 = None - x_12 = torch.conv2d( - input_3, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 64, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_13 = torch.nn.functional.batch_norm( - x_12, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_12 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_6 += x_13 - out_7 = out_6 - out_6 = x_13 = None - identity_out_2 = torch.nn.functional.batch_norm( - input_3, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_8 = 0 + identity_out_2 - identity_out_2 = None - sub = out_7 - out_8 - out_7 = out_8 = None - mul = ( - sub - * l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_14 = input_3 + mul - input_3 = mul = None - x_15 = torch.conv2d( - x_14, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 64, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_16 = torch.nn.functional.batch_norm( - x_15, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_17 = torch.conv2d( - x_16, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_16 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_18 = torch._C._nn.gelu(x_17, approximate="none") - x_17 = None - x_19 = torch.nn.functional.dropout(x_18, 0.0, False, False) - x_18 = None - x_20 = torch.conv2d( - x_19, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_19 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_21 = torch.nn.functional.dropout(x_20, 0.0, False, False) - x_20 = None - mul_1 = ( - x_21 - * l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ - ) - x_21 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None) - x_22 = x_14 + mul_1 - x_14 = mul_1 = None - identity_out_3 = torch.nn.functional.batch_norm( - x_22, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_23 = torch.conv2d( - x_22, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 64, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_24 = torch.nn.functional.batch_norm( - x_23, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_23 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_9 = x_24 + identity_out_3 - x_24 = identity_out_3 = None - x_25 = torch.conv2d( - x_22, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 64, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_26 = torch.nn.functional.batch_norm( - x_25, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_9 += x_26 - out_10 = out_9 - out_9 = x_26 = None - identity_out_4 = torch.nn.functional.batch_norm( - x_22, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_11 = 0 + identity_out_4 - identity_out_4 = None - sub_1 = out_10 - out_11 - out_10 = out_11 = None - mul_2 = ( - sub_1 - * l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_1 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_27 = x_22 + mul_2 - x_22 = mul_2 = None - x_28 = torch.conv2d( - x_27, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 64, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_29 = torch.nn.functional.batch_norm( - x_28, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_28 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_30 = torch.conv2d( - x_29, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_29 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_31 = torch._C._nn.gelu(x_30, approximate="none") - x_30 = None - x_32 = torch.nn.functional.dropout(x_31, 0.0, False, False) - x_31 = None - x_33 = torch.conv2d( - x_32, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_32 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_34 = torch.nn.functional.dropout(x_33, 0.0, False, False) - x_33 = None - mul_3 = ( - x_34 - * l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ - ) - x_34 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None) - x_35 = x_27 + mul_3 - x_27 = mul_3 = None - x_36 = torch.conv2d( - x_35, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_, - None, - (2, 2), - (3, 3), - (1, 1), - 64, - ) - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = ( - None - ) - x_37 = torch.nn.functional.batch_norm( - x_36, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_36 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None) - x_38 = torch.conv2d( - x_35, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 64, - ) - x_35 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None) - x_39 = torch.nn.functional.batch_norm( - x_38, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_38 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None) - out_12 = x_37 + x_39 - x_37 = x_39 = None - identity_out_5 = torch.nn.functional.batch_norm( - out_12, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None) - out_13 = 0 + identity_out_5 - identity_out_5 = None - x_40 = torch.conv2d( - out_12, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_12 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None) - x_41 = torch.nn.functional.batch_norm( - x_40, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_40 = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_13 += x_41 - out_14 = out_13 - out_13 = x_41 = None - input_4 = torch._C._nn.gelu(out_14, approximate="none") - out_14 = None - identity_out_6 = torch.nn.functional.batch_norm( - input_4, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_42 = torch.conv2d( - input_4, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 128, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_43 = torch.nn.functional.batch_norm( - x_42, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_42 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_15 = x_43 + identity_out_6 - x_43 = identity_out_6 = None - x_44 = torch.conv2d( - input_4, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 128, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_45 = torch.nn.functional.batch_norm( - x_44, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_44 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_15 += x_45 - out_16 = out_15 - out_15 = x_45 = None - identity_out_7 = torch.nn.functional.batch_norm( - input_4, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_17 = 0 + identity_out_7 - identity_out_7 = None - sub_2 = out_16 - out_17 - out_16 = out_17 = None - mul_4 = ( - sub_2 - * l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_46 = input_4 + mul_4 - input_4 = mul_4 = None - x_47 = torch.conv2d( - x_46, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 128, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_48 = torch.nn.functional.batch_norm( - x_47, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_47 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_49 = torch.conv2d( - x_48, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_48 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_50 = torch._C._nn.gelu(x_49, approximate="none") - x_49 = None - x_51 = torch.nn.functional.dropout(x_50, 0.0, False, False) - x_50 = None - x_52 = torch.conv2d( - x_51, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_51 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_53 = torch.nn.functional.dropout(x_52, 0.0, False, False) - x_52 = None - mul_5 = ( - x_53 - * l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ - ) - x_53 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None) - x_54 = x_46 + mul_5 - x_46 = mul_5 = None - identity_out_8 = torch.nn.functional.batch_norm( - x_54, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_55 = torch.conv2d( - x_54, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 128, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_56 = torch.nn.functional.batch_norm( - x_55, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_55 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_18 = x_56 + identity_out_8 - x_56 = identity_out_8 = None - x_57 = torch.conv2d( - x_54, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 128, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_58 = torch.nn.functional.batch_norm( - x_57, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_57 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_18 += x_58 - out_19 = out_18 - out_18 = x_58 = None - identity_out_9 = torch.nn.functional.batch_norm( - x_54, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_20 = 0 + identity_out_9 - identity_out_9 = None - sub_3 = out_19 - out_20 - out_19 = out_20 = None - mul_6 = ( - sub_3 - * l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_3 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_59 = x_54 + mul_6 - x_54 = mul_6 = None - x_60 = torch.conv2d( - x_59, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 128, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_61 = torch.nn.functional.batch_norm( - x_60, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_60 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_62 = torch.conv2d( - x_61, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_61 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_63 = torch._C._nn.gelu(x_62, approximate="none") - x_62 = None - x_64 = torch.nn.functional.dropout(x_63, 0.0, False, False) - x_63 = None - x_65 = torch.conv2d( - x_64, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_64 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_66 = torch.nn.functional.dropout(x_65, 0.0, False, False) - x_65 = None - mul_7 = ( - x_66 - * l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ - ) - x_66 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None) - x_67 = x_59 + mul_7 - x_59 = mul_7 = None - x_68 = torch.conv2d( - x_67, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_, - None, - (2, 2), - (3, 3), - (1, 1), - 128, - ) - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = ( - None - ) - x_69 = torch.nn.functional.batch_norm( - x_68, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_68 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None) - x_70 = torch.conv2d( - x_67, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 128, - ) - x_67 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None) - x_71 = torch.nn.functional.batch_norm( - x_70, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_70 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None) - out_21 = x_69 + x_71 - x_69 = x_71 = None - identity_out_10 = torch.nn.functional.batch_norm( - out_21, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None) - out_22 = 0 + identity_out_10 - identity_out_10 = None - x_72 = torch.conv2d( - out_21, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_21 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None) - x_73 = torch.nn.functional.batch_norm( - x_72, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_72 = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_22 += x_73 - out_23 = out_22 - out_22 = x_73 = None - input_5 = torch._C._nn.gelu(out_23, approximate="none") - out_23 = None - identity_out_11 = torch.nn.functional.batch_norm( - input_5, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_74 = torch.conv2d( - input_5, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_75 = torch.nn.functional.batch_norm( - x_74, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_74 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_24 = x_75 + identity_out_11 - x_75 = identity_out_11 = None - x_76 = torch.conv2d( - input_5, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_77 = torch.nn.functional.batch_norm( - x_76, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_24 += x_77 - out_25 = out_24 - out_24 = x_77 = None - identity_out_12 = torch.nn.functional.batch_norm( - input_5, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_26 = 0 + identity_out_12 - identity_out_12 = None - sub_4 = out_25 - out_26 - out_25 = out_26 = None - mul_8 = ( - sub_4 - * l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_4 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_78 = input_5 + mul_8 - input_5 = mul_8 = None - x_79 = torch.conv2d( - x_78, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_80 = torch.nn.functional.batch_norm( - x_79, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_79 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_81 = torch.conv2d( - x_80, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_82 = torch._C._nn.gelu(x_81, approximate="none") - x_81 = None - x_83 = torch.nn.functional.dropout(x_82, 0.0, False, False) - x_82 = None - x_84 = torch.conv2d( - x_83, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_83 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_85 = torch.nn.functional.dropout(x_84, 0.0, False, False) - x_84 = None - mul_9 = ( - x_85 - * l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ - ) - x_85 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None) - x_86 = x_78 + mul_9 - x_78 = mul_9 = None - identity_out_13 = torch.nn.functional.batch_norm( - x_86, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_87 = torch.conv2d( - x_86, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_88 = torch.nn.functional.batch_norm( - x_87, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_87 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_27 = x_88 + identity_out_13 - x_88 = identity_out_13 = None - x_89 = torch.conv2d( - x_86, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_90 = torch.nn.functional.batch_norm( - x_89, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_89 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_27 += x_90 - out_28 = out_27 - out_27 = x_90 = None - identity_out_14 = torch.nn.functional.batch_norm( - x_86, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_29 = 0 + identity_out_14 - identity_out_14 = None - sub_5 = out_28 - out_29 - out_28 = out_29 = None - mul_10 = ( - sub_5 - * l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_5 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_91 = x_86 + mul_10 - x_86 = mul_10 = None - x_92 = torch.conv2d( - x_91, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_93 = torch.nn.functional.batch_norm( - x_92, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_92 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_94 = torch.conv2d( - x_93, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_93 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_95 = torch._C._nn.gelu(x_94, approximate="none") - x_94 = None - x_96 = torch.nn.functional.dropout(x_95, 0.0, False, False) - x_95 = None - x_97 = torch.conv2d( - x_96, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_96 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_98 = torch.nn.functional.dropout(x_97, 0.0, False, False) - x_97 = None - mul_11 = ( - x_98 - * l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ - ) - x_98 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None) - x_99 = x_91 + mul_11 - x_91 = mul_11 = None - identity_out_15 = torch.nn.functional.batch_norm( - x_99, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_100 = torch.conv2d( - x_99, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_101 = torch.nn.functional.batch_norm( - x_100, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_100 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_30 = x_101 + identity_out_15 - x_101 = identity_out_15 = None - x_102 = torch.conv2d( - x_99, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_103 = torch.nn.functional.batch_norm( - x_102, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_102 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_30 += x_103 - out_31 = out_30 - out_30 = x_103 = None - identity_out_16 = torch.nn.functional.batch_norm( - x_99, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_32 = 0 + identity_out_16 - identity_out_16 = None - sub_6 = out_31 - out_32 - out_31 = out_32 = None - mul_12 = ( - sub_6 - * l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_6 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_104 = x_99 + mul_12 - x_99 = mul_12 = None - x_105 = torch.conv2d( - x_104, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_106 = torch.nn.functional.batch_norm( - x_105, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_105 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_107 = torch.conv2d( - x_106, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_106 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_108 = torch._C._nn.gelu(x_107, approximate="none") - x_107 = None - x_109 = torch.nn.functional.dropout(x_108, 0.0, False, False) - x_108 = None - x_110 = torch.conv2d( - x_109, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_111 = torch.nn.functional.dropout(x_110, 0.0, False, False) - x_110 = None - mul_13 = ( - x_111 - * l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ - ) - x_111 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_ = (None) - x_112 = x_104 + mul_13 - x_104 = mul_13 = None - identity_out_17 = torch.nn.functional.batch_norm( - x_112, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_113 = torch.conv2d( - x_112, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_114 = torch.nn.functional.batch_norm( - x_113, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_113 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_33 = x_114 + identity_out_17 - x_114 = identity_out_17 = None - x_115 = torch.conv2d( - x_112, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_116 = torch.nn.functional.batch_norm( - x_115, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_115 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_33 += x_116 - out_34 = out_33 - out_33 = x_116 = None - identity_out_18 = torch.nn.functional.batch_norm( - x_112, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_35 = 0 + identity_out_18 - identity_out_18 = None - sub_7 = out_34 - out_35 - out_34 = out_35 = None - mul_14 = ( - sub_7 - * l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_7 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_117 = x_112 + mul_14 - x_112 = mul_14 = None - x_118 = torch.conv2d( - x_117, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_119 = torch.nn.functional.batch_norm( - x_118, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_118 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_120 = torch.conv2d( - x_119, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_119 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_121 = torch._C._nn.gelu(x_120, approximate="none") - x_120 = None - x_122 = torch.nn.functional.dropout(x_121, 0.0, False, False) - x_121 = None - x_123 = torch.conv2d( - x_122, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_122 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_124 = torch.nn.functional.dropout(x_123, 0.0, False, False) - x_123 = None - mul_15 = ( - x_124 - * l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ - ) - x_124 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_ = (None) - x_125 = x_117 + mul_15 - x_117 = mul_15 = None - identity_out_19 = torch.nn.functional.batch_norm( - x_125, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_126 = torch.conv2d( - x_125, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_127 = torch.nn.functional.batch_norm( - x_126, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_126 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_36 = x_127 + identity_out_19 - x_127 = identity_out_19 = None - x_128 = torch.conv2d( - x_125, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_129 = torch.nn.functional.batch_norm( - x_128, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_128 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_36 += x_129 - out_37 = out_36 - out_36 = x_129 = None - identity_out_20 = torch.nn.functional.batch_norm( - x_125, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_38 = 0 + identity_out_20 - identity_out_20 = None - sub_8 = out_37 - out_38 - out_37 = out_38 = None - mul_16 = ( - sub_8 - * l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_8 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_130 = x_125 + mul_16 - x_125 = mul_16 = None - x_131 = torch.conv2d( - x_130, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_132 = torch.nn.functional.batch_norm( - x_131, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_131 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_133 = torch.conv2d( - x_132, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_132 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_134 = torch._C._nn.gelu(x_133, approximate="none") - x_133 = None - x_135 = torch.nn.functional.dropout(x_134, 0.0, False, False) - x_134 = None - x_136 = torch.conv2d( - x_135, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_135 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_137 = torch.nn.functional.dropout(x_136, 0.0, False, False) - x_136 = None - mul_17 = ( - x_137 - * l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_ - ) - x_137 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_ = (None) - x_138 = x_130 + mul_17 - x_130 = mul_17 = None - identity_out_21 = torch.nn.functional.batch_norm( - x_138, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_139 = torch.conv2d( - x_138, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_140 = torch.nn.functional.batch_norm( - x_139, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_139 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_39 = x_140 + identity_out_21 - x_140 = identity_out_21 = None - x_141 = torch.conv2d( - x_138, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_142 = torch.nn.functional.batch_norm( - x_141, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_141 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_39 += x_142 - out_40 = out_39 - out_39 = x_142 = None - identity_out_22 = torch.nn.functional.batch_norm( - x_138, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_41 = 0 + identity_out_22 - identity_out_22 = None - sub_9 = out_40 - out_41 - out_40 = out_41 = None - mul_18 = ( - sub_9 - * l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_9 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_143 = x_138 + mul_18 - x_138 = mul_18 = None - x_144 = torch.conv2d( - x_143, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 256, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_145 = torch.nn.functional.batch_norm( - x_144, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_144 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_146 = torch.conv2d( - x_145, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_145 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_147 = torch._C._nn.gelu(x_146, approximate="none") - x_146 = None - x_148 = torch.nn.functional.dropout(x_147, 0.0, False, False) - x_147 = None - x_149 = torch.conv2d( - x_148, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_148 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_150 = torch.nn.functional.dropout(x_149, 0.0, False, False) - x_149 = None - mul_19 = ( - x_150 - * l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_ - ) - x_150 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_ = (None) - x_151 = x_143 + mul_19 - x_143 = mul_19 = None - x_152 = torch.conv2d( - x_151, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_, - None, - (2, 2), - (3, 3), - (1, 1), - 256, - ) - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_ = ( - None - ) - x_153 = torch.nn.functional.batch_norm( - x_152, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_152 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_ = (None) - x_154 = torch.conv2d( - x_151, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 256, - ) - x_151 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_ = (None) - x_155 = torch.nn.functional.batch_norm( - x_154, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_154 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_ = (None) - out_42 = x_153 + x_155 - x_153 = x_155 = None - identity_out_23 = torch.nn.functional.batch_norm( - out_42, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_ = (None) - out_43 = 0 + identity_out_23 - identity_out_23 = None - x_156 = torch.conv2d( - out_42, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_42 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None) - x_157 = torch.nn.functional.batch_norm( - x_156, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_156 = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_43 += x_157 - out_44 = out_43 - out_43 = x_157 = None - input_6 = torch._C._nn.gelu(out_44, approximate="none") - out_44 = None - identity_out_24 = torch.nn.functional.batch_norm( - input_6, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_158 = torch.conv2d( - input_6, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 512, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_159 = torch.nn.functional.batch_norm( - x_158, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_158 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_45 = x_159 + identity_out_24 - x_159 = identity_out_24 = None - x_160 = torch.conv2d( - input_6, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 512, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_161 = torch.nn.functional.batch_norm( - x_160, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_160 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_45 += x_161 - out_46 = out_45 - out_45 = x_161 = None - identity_out_25 = torch.nn.functional.batch_norm( - input_6, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_47 = 0 + identity_out_25 - identity_out_25 = None - sub_10 = out_46 - out_47 - out_46 = out_47 = None - mul_20 = ( - sub_10 - * l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_10 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_162 = input_6 + mul_20 - input_6 = mul_20 = None - x_163 = torch.conv2d( - x_162, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 512, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_164 = torch.nn.functional.batch_norm( - x_163, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_163 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_165 = torch.conv2d( - x_164, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_164 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_166 = torch._C._nn.gelu(x_165, approximate="none") - x_165 = None - x_167 = torch.nn.functional.dropout(x_166, 0.0, False, False) - x_166 = None - x_168 = torch.conv2d( - x_167, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_167 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_169 = torch.nn.functional.dropout(x_168, 0.0, False, False) - x_168 = None - mul_21 = ( - x_169 - * l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ - ) - x_169 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_ = (None) - x_170 = x_162 + mul_21 - x_162 = mul_21 = None - identity_out_26 = torch.nn.functional.batch_norm( - x_170, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_ = (None) - x_171 = torch.conv2d( - x_170, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 512, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_172 = torch.nn.functional.batch_norm( - x_171, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_171 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_ = (None) - out_48 = x_172 + identity_out_26 - x_172 = identity_out_26 = None - x_173 = torch.conv2d( - x_170, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 512, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_174 = torch.nn.functional.batch_norm( - x_173, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_173 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_48 += x_174 - out_49 = out_48 - out_48 = x_174 = None - identity_out_27 = torch.nn.functional.batch_norm( - x_170, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_, - False, - 0.1, - 1e-05, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_ = (None) - out_50 = 0 + identity_out_27 - identity_out_27 = None - sub_11 = out_49 - out_50 - out_49 = out_50 = None - mul_22 = ( - sub_11 - * l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ - ) - sub_11 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_ = (None) - x_175 = x_170 + mul_22 - x_170 = mul_22 = None - x_176 = torch.conv2d( - x_175, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 3), - (1, 1), - 512, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_177 = torch.nn.functional.batch_norm( - x_176, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_176 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_ = (None) - x_178 = torch.conv2d( - x_177, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_177 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_179 = torch._C._nn.gelu(x_178, approximate="none") - x_178 = None - x_180 = torch.nn.functional.dropout(x_179, 0.0, False, False) - x_179 = None - x_181 = torch.conv2d( - x_180, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_180 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - x_182 = torch.nn.functional.dropout(x_181, 0.0, False, False) - x_181 = None - mul_23 = ( - x_182 - * l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ - ) - x_182 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_ = (None) - x_183 = x_175 + mul_23 - x_175 = mul_23 = None - x_184 = torch.conv2d( - x_183, - l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 512, - ) - l_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_ = ( - None - ) - x_185 = torch.nn.functional.batch_norm( - x_184, - l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_, - l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_, - l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_, - l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_184 = l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_ = ( - l_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_ - ) = ( - l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_ - ) = ( - l_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_ - ) = None - out_51 = x_185 + 0 - x_185 = None - x_186 = torch.conv2d( - x_183, - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 512, - ) - x_183 = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_ = (None) - x_187 = torch.nn.functional.batch_norm( - x_186, - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_, - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_, - l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_186 = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_ = l_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_ = (None) - out_51 += x_187 - out_52 = out_51 - out_51 = x_187 = None - x_se = out_52.mean((2, 3), keepdim=True) - x_se_1 = torch.conv2d( - x_se, - l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_, - l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_se = ( - l_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_ - ) = l_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_ = None - x_se_2 = torch.nn.functional.relu(x_se_1, inplace=True) - x_se_1 = None - x_se_3 = torch.conv2d( - x_se_2, - l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_, - l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_se_2 = ( - l_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_ - ) = l_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_ = None - sigmoid = x_se_3.sigmoid() - x_se_3 = None - mul_24 = out_52 * sigmoid - out_52 = sigmoid = None - x_188 = torch._C._nn.gelu(mul_24, approximate="none") - mul_24 = None - x_189 = torch.nn.functional.adaptive_avg_pool2d(x_188, 1) - x_188 = None - x_190 = x_189.flatten(1, -1) - x_189 = None - x_191 = torch.nn.functional.dropout(x_190, 0.0, False, False) - x_190 = None - x_192 = torch._C._nn.linear( - x_191, - l_self_modules_head_modules_fc_parameters_weight_, - l_self_modules_head_modules_fc_parameters_bias_, - ) - x_191 = ( - l_self_modules_head_modules_fc_parameters_weight_ - ) = l_self_modules_head_modules_fc_parameters_bias_ = None - return (x_192,) diff --git a/samples/timm/fastvit_t12.apple_dist_in1k/weight_meta.py b/samples/timm/fastvit_t12.apple_dist_in1k/weight_meta.py deleted file mode 100644 index 02bc92658..000000000 --- a/samples/timm/fastvit_t12.apple_dist_in1k/weight_meta.py +++ /dev/null @@ -1,4532 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_conv_parameters_weight_" - shape = [64, 3, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.005 - std = 0.348 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.227 - std = 1.287 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_: - name = ( - "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_weight_" - ) - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_: - name = ( - "L_self_modules_stem_modules_0_modules_conv_scale_modules_bn_parameters_bias_" - ) - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [64, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.004 - std = 0.114 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stem_modules_0_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_conv_parameters_weight_" - shape = [64, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.109 - std = 0.588 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_: - name = ( - "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_weight_" - ) - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_: - name = ( - "L_self_modules_stem_modules_1_modules_conv_scale_modules_bn_parameters_bias_" - ) - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [64, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.189 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stem_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_: - name = "L_self_modules_stem_modules_2_modules_identity_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_buffers_running_var_: - name = "L_self_modules_stem_modules_2_modules_identity_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_parameters_weight_: - name = "L_self_modules_stem_modules_2_modules_identity_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_identity_parameters_bias_: - name = "L_self_modules_stem_modules_2_modules_identity_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [64, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.072 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stem_modules_2_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [64, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.079 - std = 0.509 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [64, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.006 - std = 0.199 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [64, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [192, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [64, 192, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_" - shape = [64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [64, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.118 - std = 0.591 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [64, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.020 - std = 0.184 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [64, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [192, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [64, 192, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_" - shape = [64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_" - shape = [128, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.082 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_" - shape = [128, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.192 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [128, 128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.051 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [128, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.043 - std = 0.555 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [128, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.002 - std = 0.194 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [128, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [384, 128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [128, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_" - shape = [128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [128, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.075 - std = 0.537 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [128, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.008 - std = 0.194 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [128, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [384, 128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [128, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_" - shape = [128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_" - shape = [256, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.083 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_" - shape = [256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.193 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [256, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.036 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [256, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.038 - std = 0.583 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.193 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [256, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [768, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [256, 768, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [256, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.010 - std = 0.573 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.191 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [256, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [768, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [256, 768, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [256, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.022 - std = 0.585 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.005 - std = 0.190 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [256, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_" - shape = [768, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_" - shape = [256, 768, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [256, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.016 - std = 0.580 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.195 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [256, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_" - shape = [768, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_" - shape = [256, 768, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [256, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.030 - std = 0.621 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.190 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [256, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_" - shape = [768, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_" - shape = [256, 768, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [256, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.031 - std = 0.573 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.191 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [256, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_" - shape = [768, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_" - shape = [256, 768, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_layer_scale_parameters_gamma_" - shape = [256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_conv_parameters_weight_" - shape = [512, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.083 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_large_conv_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_conv_parameters_weight_" - shape = [512, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.192 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_0_modules_small_conv_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_identity_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [512, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_proj_modules_1_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [512, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.007 - std = 0.566 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [512, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.005 - std = 0.192 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [512, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [1536, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [512, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_layer_scale_parameters_gamma_" - shape = [512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_identity_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_conv_parameters_weight_" - shape = [512, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.010 - std = 0.571 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_scale_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [512, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.192 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_mixer_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_norm_modules_identity_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_token_mixer_modules_layer_scale_parameters_gamma_" - shape = [512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_conv_parameters_weight_" - shape = [512, 1, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_conv_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [1536, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [1536] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [512, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_layer_scale_parameters_gamma_" - shape = [512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_: - name = ( - "L_self_modules_final_conv_modules_conv_scale_modules_conv_parameters_weight_" - ) - shape = [1024, 1, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.010 - std = 0.589 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_: - name = ( - "L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_mean_" - ) - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_: - name = ( - "L_self_modules_final_conv_modules_conv_scale_modules_bn_buffers_running_var_" - ) - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_: - name = "L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_: - name = "L_self_modules_final_conv_modules_conv_scale_modules_bn_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_conv_parameters_weight_" - shape = [1024, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.193 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_final_conv_modules_conv_kxk_modules_0_modules_bn_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_: - name = "L_self_modules_final_conv_modules_se_modules_fc1_parameters_weight_" - shape = [64, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_: - name = "L_self_modules_final_conv_modules_se_modules_fc1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.003 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_: - name = "L_self_modules_final_conv_modules_se_modules_fc2_parameters_weight_" - shape = [1024, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.072 - data = None - - -class Program_weight_tensor_meta_L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_: - name = "L_self_modules_final_conv_modules_se_modules_fc2_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.073 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_: - name = "L_self_modules_head_modules_fc_parameters_weight_" - shape = [1000, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_: - name = "L_self_modules_head_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None diff --git a/samples/timm/inception_v4.tf_in1k/graph_hash.txt b/samples/timm/inception_v4.tf_in1k/graph_hash.txt deleted file mode 100644 index 205b0872e..000000000 --- a/samples/timm/inception_v4.tf_in1k/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -6e232b7e362928aac4708bc7074aa141402050a0b7d4b5b3ff23705b1e0ed6bd \ No newline at end of file diff --git a/samples/timm/inception_v4.tf_in1k/graph_net.json b/samples/timm/inception_v4.tf_in1k/graph_net.json deleted file mode 100644 index 5a6dada2f..000000000 --- a/samples/timm/inception_v4.tf_in1k/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "timm", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/timm/inception_v4.tf_in1k/input_meta.py b/samples/timm/inception_v4.tf_in1k/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/inception_v4.tf_in1k/input_tensor_constraints.py b/samples/timm/inception_v4.tf_in1k/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/inception_v4.tf_in1k/model.py b/samples/timm/inception_v4.tf_in1k/model.py deleted file mode 100644 index e65984cca..000000000 --- a/samples/timm/inception_v4.tf_in1k/model.py +++ /dev/null @@ -1,5215 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_features_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_features_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_3_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_3_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_3_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch0_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch0_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_5_modules_conv_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_5_modules_conv_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_5_modules_conv_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch0_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch0_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch1_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch1_1a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch1_1b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_3a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_3b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch1_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch1_1a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch1_1b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_3a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_3b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch1_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch1_1a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch1_1b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_3a_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_3b_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch3_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_var_: torch.Tensor, - L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_last_linear_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_last_linear_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_features_modules_0_modules_conv_parameters_weight_ = ( - L_self_modules_features_modules_0_modules_conv_parameters_weight_ - ) - l_x_ = L_x_ - l_self_modules_features_modules_0_modules_bn_buffers_running_mean_ = ( - L_self_modules_features_modules_0_modules_bn_buffers_running_mean_ - ) - l_self_modules_features_modules_0_modules_bn_buffers_running_var_ = ( - L_self_modules_features_modules_0_modules_bn_buffers_running_var_ - ) - l_self_modules_features_modules_0_modules_bn_parameters_weight_ = ( - L_self_modules_features_modules_0_modules_bn_parameters_weight_ - ) - l_self_modules_features_modules_0_modules_bn_parameters_bias_ = ( - L_self_modules_features_modules_0_modules_bn_parameters_bias_ - ) - l_self_modules_features_modules_1_modules_conv_parameters_weight_ = ( - L_self_modules_features_modules_1_modules_conv_parameters_weight_ - ) - l_self_modules_features_modules_1_modules_bn_buffers_running_mean_ = ( - L_self_modules_features_modules_1_modules_bn_buffers_running_mean_ - ) - l_self_modules_features_modules_1_modules_bn_buffers_running_var_ = ( - L_self_modules_features_modules_1_modules_bn_buffers_running_var_ - ) - l_self_modules_features_modules_1_modules_bn_parameters_weight_ = ( - L_self_modules_features_modules_1_modules_bn_parameters_weight_ - ) - l_self_modules_features_modules_1_modules_bn_parameters_bias_ = ( - L_self_modules_features_modules_1_modules_bn_parameters_bias_ - ) - l_self_modules_features_modules_2_modules_conv_parameters_weight_ = ( - L_self_modules_features_modules_2_modules_conv_parameters_weight_ - ) - l_self_modules_features_modules_2_modules_bn_buffers_running_mean_ = ( - L_self_modules_features_modules_2_modules_bn_buffers_running_mean_ - ) - l_self_modules_features_modules_2_modules_bn_buffers_running_var_ = ( - L_self_modules_features_modules_2_modules_bn_buffers_running_var_ - ) - l_self_modules_features_modules_2_modules_bn_parameters_weight_ = ( - L_self_modules_features_modules_2_modules_bn_parameters_weight_ - ) - l_self_modules_features_modules_2_modules_bn_parameters_bias_ = ( - L_self_modules_features_modules_2_modules_bn_parameters_bias_ - ) - l_self_modules_features_modules_3_modules_conv_modules_conv_parameters_weight_ = L_self_modules_features_modules_3_modules_conv_modules_conv_parameters_weight_ - l_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_features_modules_3_modules_conv_modules_bn_parameters_weight_ = ( - L_self_modules_features_modules_3_modules_conv_modules_bn_parameters_weight_ - ) - l_self_modules_features_modules_3_modules_conv_modules_bn_parameters_bias_ = ( - L_self_modules_features_modules_3_modules_conv_modules_bn_parameters_bias_ - ) - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_4_modules_branch0_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_4_modules_branch0_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_4_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_4_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_4_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_conv_parameters_weight_ = L_self_modules_features_modules_4_modules_branch1_modules_3_modules_conv_parameters_weight_ - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_var_ = L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_var_ - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_weight_ = L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_weight_ - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_bias_ = L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_bias_ - l_self_modules_features_modules_5_modules_conv_modules_conv_parameters_weight_ = L_self_modules_features_modules_5_modules_conv_modules_conv_parameters_weight_ - l_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_var_ = L_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_var_ - l_self_modules_features_modules_5_modules_conv_modules_bn_parameters_weight_ = ( - L_self_modules_features_modules_5_modules_conv_modules_bn_parameters_weight_ - ) - l_self_modules_features_modules_5_modules_conv_modules_bn_parameters_bias_ = ( - L_self_modules_features_modules_5_modules_conv_modules_bn_parameters_bias_ - ) - l_self_modules_features_modules_6_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_6_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_6_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_6_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_6_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_6_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_6_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_6_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_7_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_7_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_7_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_7_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_7_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_7_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_7_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_7_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_8_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_8_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_8_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_8_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_8_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_8_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_8_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_8_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_9_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_9_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_9_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_9_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_9_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_9_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_9_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_9_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_10_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_10_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_10_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_10_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_10_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_3_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_4_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_bias_ - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_11_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_3_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_4_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_bias_ - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_12_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_3_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_4_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_bias_ - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_13_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_3_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_4_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_bias_ - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_14_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_3_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_4_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_bias_ - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_15_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_3_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_4_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_bias_ - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_16_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_3_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_4_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_bias_ - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_17_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_18_modules_branch0_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_18_modules_branch0_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_18_modules_branch1_modules_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_18_modules_branch1_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_18_modules_branch1_modules_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_conv_parameters_weight_ = L_self_modules_features_modules_18_modules_branch1_modules_3_modules_conv_parameters_weight_ - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_var_ = L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_var_ - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_weight_ = L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_weight_ - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_bias_ = L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch1_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch1_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch1_1a_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch1_1a_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch1_1b_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch1_1b_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch2_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch2_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch2_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch2_3a_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_3a_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch2_3b_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_3b_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_bias_ - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_19_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch1_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch1_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch1_1a_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch1_1a_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch1_1b_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch1_1b_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch2_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch2_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch2_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch2_3a_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_3a_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch2_3b_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_3b_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_bias_ - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_20_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch0_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch0_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch1_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch1_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch1_1a_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch1_1a_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch1_1b_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch1_1b_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch2_0_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_0_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch2_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch2_2_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_2_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch2_3a_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_3a_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch2_3b_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_3b_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_bias_ - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_conv_parameters_weight_ = L_self_modules_features_modules_21_modules_branch3_modules_1_modules_conv_parameters_weight_ - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_mean_ - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_var_ = L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_var_ - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_weight_ = L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_weight_ - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_bias_ = L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_bias_ - l_self_modules_last_linear_parameters_weight_ = ( - L_self_modules_last_linear_parameters_weight_ - ) - l_self_modules_last_linear_parameters_bias_ = ( - L_self_modules_last_linear_parameters_bias_ - ) - x = torch.conv2d( - l_x_, - l_self_modules_features_modules_0_modules_conv_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - l_x_ = l_self_modules_features_modules_0_modules_conv_parameters_weight_ = None - x_1 = torch.nn.functional.batch_norm( - x, - l_self_modules_features_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x = ( - l_self_modules_features_modules_0_modules_bn_buffers_running_mean_ - ) = ( - l_self_modules_features_modules_0_modules_bn_buffers_running_var_ - ) = ( - l_self_modules_features_modules_0_modules_bn_parameters_weight_ - ) = l_self_modules_features_modules_0_modules_bn_parameters_bias_ = None - x_2 = torch.nn.functional.relu(x_1, inplace=True) - x_1 = None - x_3 = torch.conv2d( - x_2, - l_self_modules_features_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_2 = l_self_modules_features_modules_1_modules_conv_parameters_weight_ = None - x_4 = torch.nn.functional.batch_norm( - x_3, - l_self_modules_features_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_3 = ( - l_self_modules_features_modules_1_modules_bn_buffers_running_mean_ - ) = ( - l_self_modules_features_modules_1_modules_bn_buffers_running_var_ - ) = ( - l_self_modules_features_modules_1_modules_bn_parameters_weight_ - ) = l_self_modules_features_modules_1_modules_bn_parameters_bias_ = None - x_5 = torch.nn.functional.relu(x_4, inplace=True) - x_4 = None - x_6 = torch.conv2d( - x_5, - l_self_modules_features_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_5 = l_self_modules_features_modules_2_modules_conv_parameters_weight_ = None - x_7 = torch.nn.functional.batch_norm( - x_6, - l_self_modules_features_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_6 = ( - l_self_modules_features_modules_2_modules_bn_buffers_running_mean_ - ) = ( - l_self_modules_features_modules_2_modules_bn_buffers_running_var_ - ) = ( - l_self_modules_features_modules_2_modules_bn_parameters_weight_ - ) = l_self_modules_features_modules_2_modules_bn_parameters_bias_ = None - x_8 = torch.nn.functional.relu(x_7, inplace=True) - x_7 = None - x0 = torch.nn.functional.max_pool2d( - x_8, 3, 2, 0, 1, ceil_mode=False, return_indices=False - ) - x_9 = torch.conv2d( - x_8, - l_self_modules_features_modules_3_modules_conv_modules_conv_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_8 = l_self_modules_features_modules_3_modules_conv_modules_conv_parameters_weight_ = (None) - x_10 = torch.nn.functional.batch_norm( - x_9, - l_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_features_modules_3_modules_conv_modules_bn_parameters_weight_, - l_self_modules_features_modules_3_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_9 = l_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_var_ = ( - l_self_modules_features_modules_3_modules_conv_modules_bn_parameters_weight_ - ) = ( - l_self_modules_features_modules_3_modules_conv_modules_bn_parameters_bias_ - ) = None - x_11 = torch.nn.functional.relu(x_10, inplace=True) - x_10 = None - out = torch.cat((x0, x_11), 1) - x0 = x_11 = None - x_12 = torch.conv2d( - out, - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_13 = torch.nn.functional.batch_norm( - x_12, - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_12 = l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_bias_ = (None) - x_14 = torch.nn.functional.relu(x_13, inplace=True) - x_13 = None - x_15 = torch.conv2d( - x_14, - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_14 = l_self_modules_features_modules_4_modules_branch0_modules_1_modules_conv_parameters_weight_ = (None) - x_16 = torch.nn.functional.batch_norm( - x_15, - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_15 = l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_bias_ = (None) - x_17 = torch.nn.functional.relu(x_16, inplace=True) - x_16 = None - x_18 = torch.conv2d( - out, - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out = l_self_modules_features_modules_4_modules_branch1_modules_0_modules_conv_parameters_weight_ = (None) - x_19 = torch.nn.functional.batch_norm( - x_18, - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_18 = l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_20 = torch.nn.functional.relu(x_19, inplace=True) - x_19 = None - x_21 = torch.conv2d( - x_20, - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_20 = l_self_modules_features_modules_4_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_22 = torch.nn.functional.batch_norm( - x_21, - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_21 = l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_23 = torch.nn.functional.relu(x_22, inplace=True) - x_22 = None - x_24 = torch.conv2d( - x_23, - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_23 = l_self_modules_features_modules_4_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_25 = torch.nn.functional.batch_norm( - x_24, - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_24 = l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_26 = torch.nn.functional.relu(x_25, inplace=True) - x_25 = None - x_27 = torch.conv2d( - x_26, - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_26 = l_self_modules_features_modules_4_modules_branch1_modules_3_modules_conv_parameters_weight_ = (None) - x_28 = torch.nn.functional.batch_norm( - x_27, - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_var_, - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_weight_, - l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_27 = l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_var_ = l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_weight_ = l_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_bias_ = (None) - x_29 = torch.nn.functional.relu(x_28, inplace=True) - x_28 = None - out_1 = torch.cat((x_17, x_29), 1) - x_17 = x_29 = None - x_30 = torch.conv2d( - out_1, - l_self_modules_features_modules_5_modules_conv_modules_conv_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_5_modules_conv_modules_conv_parameters_weight_ = ( - None - ) - x_31 = torch.nn.functional.batch_norm( - x_30, - l_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_var_, - l_self_modules_features_modules_5_modules_conv_modules_bn_parameters_weight_, - l_self_modules_features_modules_5_modules_conv_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_30 = l_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_var_ = ( - l_self_modules_features_modules_5_modules_conv_modules_bn_parameters_weight_ - ) = ( - l_self_modules_features_modules_5_modules_conv_modules_bn_parameters_bias_ - ) = None - x_32 = torch.nn.functional.relu(x_31, inplace=True) - x_31 = None - x1 = torch.nn.functional.max_pool2d( - out_1, 3, 2, 0, 1, ceil_mode=False, return_indices=False - ) - out_1 = None - out_2 = torch.cat((x_32, x1), 1) - x_32 = x1 = None - x_33 = torch.conv2d( - out_2, - l_self_modules_features_modules_6_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_6_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_34 = torch.nn.functional.batch_norm( - x_33, - l_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_33 = l_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_bias_ = (None) - x_35 = torch.nn.functional.relu(x_34, inplace=True) - x_34 = None - x_36 = torch.conv2d( - out_2, - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_37 = torch.nn.functional.batch_norm( - x_36, - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_36 = l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_38 = torch.nn.functional.relu(x_37, inplace=True) - x_37 = None - x_39 = torch.conv2d( - x_38, - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_38 = l_self_modules_features_modules_6_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_40 = torch.nn.functional.batch_norm( - x_39, - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_39 = l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_41 = torch.nn.functional.relu(x_40, inplace=True) - x_40 = None - x_42 = torch.conv2d( - out_2, - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_43 = torch.nn.functional.batch_norm( - x_42, - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_42 = l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_44 = torch.nn.functional.relu(x_43, inplace=True) - x_43 = None - x_45 = torch.conv2d( - x_44, - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_44 = l_self_modules_features_modules_6_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_46 = torch.nn.functional.batch_norm( - x_45, - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_45 = l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_47 = torch.nn.functional.relu(x_46, inplace=True) - x_46 = None - x_48 = torch.conv2d( - x_47, - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_47 = l_self_modules_features_modules_6_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_49 = torch.nn.functional.batch_norm( - x_48, - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_48 = l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_50 = torch.nn.functional.relu(x_49, inplace=True) - x_49 = None - input_1 = torch._C._nn.avg_pool2d(out_2, 3, 1, 1, False, False, None) - out_2 = None - x_51 = torch.conv2d( - input_1, - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_1 = l_self_modules_features_modules_6_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_52 = torch.nn.functional.batch_norm( - x_51, - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_51 = l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_53 = torch.nn.functional.relu(x_52, inplace=True) - x_52 = None - out_3 = torch.cat((x_35, x_41, x_50, x_53), 1) - x_35 = x_41 = x_50 = x_53 = None - x_54 = torch.conv2d( - out_3, - l_self_modules_features_modules_7_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_7_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_55 = torch.nn.functional.batch_norm( - x_54, - l_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_54 = l_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_bias_ = (None) - x_56 = torch.nn.functional.relu(x_55, inplace=True) - x_55 = None - x_57 = torch.conv2d( - out_3, - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_58 = torch.nn.functional.batch_norm( - x_57, - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_57 = l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_59 = torch.nn.functional.relu(x_58, inplace=True) - x_58 = None - x_60 = torch.conv2d( - x_59, - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_59 = l_self_modules_features_modules_7_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_61 = torch.nn.functional.batch_norm( - x_60, - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_60 = l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_62 = torch.nn.functional.relu(x_61, inplace=True) - x_61 = None - x_63 = torch.conv2d( - out_3, - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_64 = torch.nn.functional.batch_norm( - x_63, - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_63 = l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_65 = torch.nn.functional.relu(x_64, inplace=True) - x_64 = None - x_66 = torch.conv2d( - x_65, - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_65 = l_self_modules_features_modules_7_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_67 = torch.nn.functional.batch_norm( - x_66, - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_66 = l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_68 = torch.nn.functional.relu(x_67, inplace=True) - x_67 = None - x_69 = torch.conv2d( - x_68, - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_68 = l_self_modules_features_modules_7_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_70 = torch.nn.functional.batch_norm( - x_69, - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_69 = l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_71 = torch.nn.functional.relu(x_70, inplace=True) - x_70 = None - input_2 = torch._C._nn.avg_pool2d(out_3, 3, 1, 1, False, False, None) - out_3 = None - x_72 = torch.conv2d( - input_2, - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_2 = l_self_modules_features_modules_7_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_73 = torch.nn.functional.batch_norm( - x_72, - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_72 = l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_74 = torch.nn.functional.relu(x_73, inplace=True) - x_73 = None - out_4 = torch.cat((x_56, x_62, x_71, x_74), 1) - x_56 = x_62 = x_71 = x_74 = None - x_75 = torch.conv2d( - out_4, - l_self_modules_features_modules_8_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_8_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_76 = torch.nn.functional.batch_norm( - x_75, - l_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_75 = l_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_bias_ = (None) - x_77 = torch.nn.functional.relu(x_76, inplace=True) - x_76 = None - x_78 = torch.conv2d( - out_4, - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_79 = torch.nn.functional.batch_norm( - x_78, - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_78 = l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_80 = torch.nn.functional.relu(x_79, inplace=True) - x_79 = None - x_81 = torch.conv2d( - x_80, - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_80 = l_self_modules_features_modules_8_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_82 = torch.nn.functional.batch_norm( - x_81, - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_81 = l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_83 = torch.nn.functional.relu(x_82, inplace=True) - x_82 = None - x_84 = torch.conv2d( - out_4, - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_85 = torch.nn.functional.batch_norm( - x_84, - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_84 = l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_86 = torch.nn.functional.relu(x_85, inplace=True) - x_85 = None - x_87 = torch.conv2d( - x_86, - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_86 = l_self_modules_features_modules_8_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_88 = torch.nn.functional.batch_norm( - x_87, - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_87 = l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_89 = torch.nn.functional.relu(x_88, inplace=True) - x_88 = None - x_90 = torch.conv2d( - x_89, - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_89 = l_self_modules_features_modules_8_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_91 = torch.nn.functional.batch_norm( - x_90, - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_90 = l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_92 = torch.nn.functional.relu(x_91, inplace=True) - x_91 = None - input_3 = torch._C._nn.avg_pool2d(out_4, 3, 1, 1, False, False, None) - out_4 = None - x_93 = torch.conv2d( - input_3, - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_3 = l_self_modules_features_modules_8_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_94 = torch.nn.functional.batch_norm( - x_93, - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_93 = l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_95 = torch.nn.functional.relu(x_94, inplace=True) - x_94 = None - out_5 = torch.cat((x_77, x_83, x_92, x_95), 1) - x_77 = x_83 = x_92 = x_95 = None - x_96 = torch.conv2d( - out_5, - l_self_modules_features_modules_9_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_9_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_97 = torch.nn.functional.batch_norm( - x_96, - l_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_96 = l_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_bias_ = (None) - x_98 = torch.nn.functional.relu(x_97, inplace=True) - x_97 = None - x_99 = torch.conv2d( - out_5, - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_100 = torch.nn.functional.batch_norm( - x_99, - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_99 = l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_101 = torch.nn.functional.relu(x_100, inplace=True) - x_100 = None - x_102 = torch.conv2d( - x_101, - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_101 = l_self_modules_features_modules_9_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_103 = torch.nn.functional.batch_norm( - x_102, - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_102 = l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_104 = torch.nn.functional.relu(x_103, inplace=True) - x_103 = None - x_105 = torch.conv2d( - out_5, - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_106 = torch.nn.functional.batch_norm( - x_105, - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_105 = l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_107 = torch.nn.functional.relu(x_106, inplace=True) - x_106 = None - x_108 = torch.conv2d( - x_107, - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_107 = l_self_modules_features_modules_9_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_109 = torch.nn.functional.batch_norm( - x_108, - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_108 = l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_110 = torch.nn.functional.relu(x_109, inplace=True) - x_109 = None - x_111 = torch.conv2d( - x_110, - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_110 = l_self_modules_features_modules_9_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_112 = torch.nn.functional.batch_norm( - x_111, - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_111 = l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_113 = torch.nn.functional.relu(x_112, inplace=True) - x_112 = None - input_4 = torch._C._nn.avg_pool2d(out_5, 3, 1, 1, False, False, None) - out_5 = None - x_114 = torch.conv2d( - input_4, - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_4 = l_self_modules_features_modules_9_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_115 = torch.nn.functional.batch_norm( - x_114, - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_114 = l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_116 = torch.nn.functional.relu(x_115, inplace=True) - x_115 = None - out_6 = torch.cat((x_98, x_104, x_113, x_116), 1) - x_98 = x_104 = x_113 = x_116 = None - x_117 = torch.conv2d( - out_6, - l_self_modules_features_modules_10_modules_branch0_modules_conv_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_10_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_118 = torch.nn.functional.batch_norm( - x_117, - l_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_117 = l_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_bias_ = (None) - x_119 = torch.nn.functional.relu(x_118, inplace=True) - x_118 = None - x_120 = torch.conv2d( - out_6, - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_121 = torch.nn.functional.batch_norm( - x_120, - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_120 = l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_122 = torch.nn.functional.relu(x_121, inplace=True) - x_121 = None - x_123 = torch.conv2d( - x_122, - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_122 = l_self_modules_features_modules_10_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_124 = torch.nn.functional.batch_norm( - x_123, - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_123 = l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_125 = torch.nn.functional.relu(x_124, inplace=True) - x_124 = None - x_126 = torch.conv2d( - x_125, - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_125 = l_self_modules_features_modules_10_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_127 = torch.nn.functional.batch_norm( - x_126, - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_126 = l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_128 = torch.nn.functional.relu(x_127, inplace=True) - x_127 = None - x2 = torch.nn.functional.max_pool2d( - out_6, 3, 2, 0, 1, ceil_mode=False, return_indices=False - ) - out_6 = None - out_7 = torch.cat((x_119, x_128, x2), 1) - x_119 = x_128 = x2 = None - x_129 = torch.conv2d( - out_7, - l_self_modules_features_modules_11_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_11_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_130 = torch.nn.functional.batch_norm( - x_129, - l_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_129 = l_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_bias_ = (None) - x_131 = torch.nn.functional.relu(x_130, inplace=True) - x_130 = None - x_132 = torch.conv2d( - out_7, - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_133 = torch.nn.functional.batch_norm( - x_132, - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_132 = l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_134 = torch.nn.functional.relu(x_133, inplace=True) - x_133 = None - x_135 = torch.conv2d( - x_134, - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_134 = l_self_modules_features_modules_11_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_136 = torch.nn.functional.batch_norm( - x_135, - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_135 = l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_137 = torch.nn.functional.relu(x_136, inplace=True) - x_136 = None - x_138 = torch.conv2d( - x_137, - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_137 = l_self_modules_features_modules_11_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_139 = torch.nn.functional.batch_norm( - x_138, - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_138 = l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_140 = torch.nn.functional.relu(x_139, inplace=True) - x_139 = None - x_141 = torch.conv2d( - out_7, - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_142 = torch.nn.functional.batch_norm( - x_141, - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_141 = l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_143 = torch.nn.functional.relu(x_142, inplace=True) - x_142 = None - x_144 = torch.conv2d( - x_143, - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_143 = l_self_modules_features_modules_11_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_145 = torch.nn.functional.batch_norm( - x_144, - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_144 = l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_146 = torch.nn.functional.relu(x_145, inplace=True) - x_145 = None - x_147 = torch.conv2d( - x_146, - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_146 = l_self_modules_features_modules_11_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_148 = torch.nn.functional.batch_norm( - x_147, - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_147 = l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_149 = torch.nn.functional.relu(x_148, inplace=True) - x_148 = None - x_150 = torch.conv2d( - x_149, - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_149 = l_self_modules_features_modules_11_modules_branch2_modules_3_modules_conv_parameters_weight_ = (None) - x_151 = torch.nn.functional.batch_norm( - x_150, - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_150 = l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_bias_ = (None) - x_152 = torch.nn.functional.relu(x_151, inplace=True) - x_151 = None - x_153 = torch.conv2d( - x_152, - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_152 = l_self_modules_features_modules_11_modules_branch2_modules_4_modules_conv_parameters_weight_ = (None) - x_154 = torch.nn.functional.batch_norm( - x_153, - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_153 = l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_bias_ = (None) - x_155 = torch.nn.functional.relu(x_154, inplace=True) - x_154 = None - input_5 = torch._C._nn.avg_pool2d(out_7, 3, 1, 1, False, False, None) - out_7 = None - x_156 = torch.conv2d( - input_5, - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_5 = l_self_modules_features_modules_11_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_157 = torch.nn.functional.batch_norm( - x_156, - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_156 = l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_158 = torch.nn.functional.relu(x_157, inplace=True) - x_157 = None - out_8 = torch.cat((x_131, x_140, x_155, x_158), 1) - x_131 = x_140 = x_155 = x_158 = None - x_159 = torch.conv2d( - out_8, - l_self_modules_features_modules_12_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_12_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_160 = torch.nn.functional.batch_norm( - x_159, - l_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_159 = l_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_bias_ = (None) - x_161 = torch.nn.functional.relu(x_160, inplace=True) - x_160 = None - x_162 = torch.conv2d( - out_8, - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_163 = torch.nn.functional.batch_norm( - x_162, - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_162 = l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_164 = torch.nn.functional.relu(x_163, inplace=True) - x_163 = None - x_165 = torch.conv2d( - x_164, - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_164 = l_self_modules_features_modules_12_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_166 = torch.nn.functional.batch_norm( - x_165, - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_165 = l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_167 = torch.nn.functional.relu(x_166, inplace=True) - x_166 = None - x_168 = torch.conv2d( - x_167, - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_167 = l_self_modules_features_modules_12_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_169 = torch.nn.functional.batch_norm( - x_168, - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_168 = l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_170 = torch.nn.functional.relu(x_169, inplace=True) - x_169 = None - x_171 = torch.conv2d( - out_8, - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_172 = torch.nn.functional.batch_norm( - x_171, - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_171 = l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_173 = torch.nn.functional.relu(x_172, inplace=True) - x_172 = None - x_174 = torch.conv2d( - x_173, - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_173 = l_self_modules_features_modules_12_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_175 = torch.nn.functional.batch_norm( - x_174, - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_174 = l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_176 = torch.nn.functional.relu(x_175, inplace=True) - x_175 = None - x_177 = torch.conv2d( - x_176, - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_176 = l_self_modules_features_modules_12_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_178 = torch.nn.functional.batch_norm( - x_177, - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_177 = l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_179 = torch.nn.functional.relu(x_178, inplace=True) - x_178 = None - x_180 = torch.conv2d( - x_179, - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_179 = l_self_modules_features_modules_12_modules_branch2_modules_3_modules_conv_parameters_weight_ = (None) - x_181 = torch.nn.functional.batch_norm( - x_180, - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_180 = l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_bias_ = (None) - x_182 = torch.nn.functional.relu(x_181, inplace=True) - x_181 = None - x_183 = torch.conv2d( - x_182, - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_182 = l_self_modules_features_modules_12_modules_branch2_modules_4_modules_conv_parameters_weight_ = (None) - x_184 = torch.nn.functional.batch_norm( - x_183, - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_183 = l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_bias_ = (None) - x_185 = torch.nn.functional.relu(x_184, inplace=True) - x_184 = None - input_6 = torch._C._nn.avg_pool2d(out_8, 3, 1, 1, False, False, None) - out_8 = None - x_186 = torch.conv2d( - input_6, - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_6 = l_self_modules_features_modules_12_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_187 = torch.nn.functional.batch_norm( - x_186, - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_186 = l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_188 = torch.nn.functional.relu(x_187, inplace=True) - x_187 = None - out_9 = torch.cat((x_161, x_170, x_185, x_188), 1) - x_161 = x_170 = x_185 = x_188 = None - x_189 = torch.conv2d( - out_9, - l_self_modules_features_modules_13_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_13_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_190 = torch.nn.functional.batch_norm( - x_189, - l_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_189 = l_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_bias_ = (None) - x_191 = torch.nn.functional.relu(x_190, inplace=True) - x_190 = None - x_192 = torch.conv2d( - out_9, - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_193 = torch.nn.functional.batch_norm( - x_192, - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_192 = l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_194 = torch.nn.functional.relu(x_193, inplace=True) - x_193 = None - x_195 = torch.conv2d( - x_194, - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_194 = l_self_modules_features_modules_13_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_196 = torch.nn.functional.batch_norm( - x_195, - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_195 = l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_197 = torch.nn.functional.relu(x_196, inplace=True) - x_196 = None - x_198 = torch.conv2d( - x_197, - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_197 = l_self_modules_features_modules_13_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_199 = torch.nn.functional.batch_norm( - x_198, - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_198 = l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_200 = torch.nn.functional.relu(x_199, inplace=True) - x_199 = None - x_201 = torch.conv2d( - out_9, - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_202 = torch.nn.functional.batch_norm( - x_201, - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_201 = l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_203 = torch.nn.functional.relu(x_202, inplace=True) - x_202 = None - x_204 = torch.conv2d( - x_203, - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_203 = l_self_modules_features_modules_13_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_205 = torch.nn.functional.batch_norm( - x_204, - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_204 = l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_206 = torch.nn.functional.relu(x_205, inplace=True) - x_205 = None - x_207 = torch.conv2d( - x_206, - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_206 = l_self_modules_features_modules_13_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_208 = torch.nn.functional.batch_norm( - x_207, - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_207 = l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_209 = torch.nn.functional.relu(x_208, inplace=True) - x_208 = None - x_210 = torch.conv2d( - x_209, - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_209 = l_self_modules_features_modules_13_modules_branch2_modules_3_modules_conv_parameters_weight_ = (None) - x_211 = torch.nn.functional.batch_norm( - x_210, - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_210 = l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_bias_ = (None) - x_212 = torch.nn.functional.relu(x_211, inplace=True) - x_211 = None - x_213 = torch.conv2d( - x_212, - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_212 = l_self_modules_features_modules_13_modules_branch2_modules_4_modules_conv_parameters_weight_ = (None) - x_214 = torch.nn.functional.batch_norm( - x_213, - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_213 = l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_bias_ = (None) - x_215 = torch.nn.functional.relu(x_214, inplace=True) - x_214 = None - input_7 = torch._C._nn.avg_pool2d(out_9, 3, 1, 1, False, False, None) - out_9 = None - x_216 = torch.conv2d( - input_7, - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_7 = l_self_modules_features_modules_13_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_217 = torch.nn.functional.batch_norm( - x_216, - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_216 = l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_218 = torch.nn.functional.relu(x_217, inplace=True) - x_217 = None - out_10 = torch.cat((x_191, x_200, x_215, x_218), 1) - x_191 = x_200 = x_215 = x_218 = None - x_219 = torch.conv2d( - out_10, - l_self_modules_features_modules_14_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_14_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_220 = torch.nn.functional.batch_norm( - x_219, - l_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_219 = l_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_bias_ = (None) - x_221 = torch.nn.functional.relu(x_220, inplace=True) - x_220 = None - x_222 = torch.conv2d( - out_10, - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_223 = torch.nn.functional.batch_norm( - x_222, - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_222 = l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_224 = torch.nn.functional.relu(x_223, inplace=True) - x_223 = None - x_225 = torch.conv2d( - x_224, - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_224 = l_self_modules_features_modules_14_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_226 = torch.nn.functional.batch_norm( - x_225, - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_225 = l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_227 = torch.nn.functional.relu(x_226, inplace=True) - x_226 = None - x_228 = torch.conv2d( - x_227, - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_227 = l_self_modules_features_modules_14_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_229 = torch.nn.functional.batch_norm( - x_228, - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_228 = l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_230 = torch.nn.functional.relu(x_229, inplace=True) - x_229 = None - x_231 = torch.conv2d( - out_10, - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_232 = torch.nn.functional.batch_norm( - x_231, - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_231 = l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_233 = torch.nn.functional.relu(x_232, inplace=True) - x_232 = None - x_234 = torch.conv2d( - x_233, - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_233 = l_self_modules_features_modules_14_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_235 = torch.nn.functional.batch_norm( - x_234, - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_234 = l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_236 = torch.nn.functional.relu(x_235, inplace=True) - x_235 = None - x_237 = torch.conv2d( - x_236, - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_236 = l_self_modules_features_modules_14_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_238 = torch.nn.functional.batch_norm( - x_237, - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_237 = l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_239 = torch.nn.functional.relu(x_238, inplace=True) - x_238 = None - x_240 = torch.conv2d( - x_239, - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_239 = l_self_modules_features_modules_14_modules_branch2_modules_3_modules_conv_parameters_weight_ = (None) - x_241 = torch.nn.functional.batch_norm( - x_240, - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_240 = l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_bias_ = (None) - x_242 = torch.nn.functional.relu(x_241, inplace=True) - x_241 = None - x_243 = torch.conv2d( - x_242, - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_242 = l_self_modules_features_modules_14_modules_branch2_modules_4_modules_conv_parameters_weight_ = (None) - x_244 = torch.nn.functional.batch_norm( - x_243, - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_243 = l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_bias_ = (None) - x_245 = torch.nn.functional.relu(x_244, inplace=True) - x_244 = None - input_8 = torch._C._nn.avg_pool2d(out_10, 3, 1, 1, False, False, None) - out_10 = None - x_246 = torch.conv2d( - input_8, - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_8 = l_self_modules_features_modules_14_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_247 = torch.nn.functional.batch_norm( - x_246, - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_246 = l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_248 = torch.nn.functional.relu(x_247, inplace=True) - x_247 = None - out_11 = torch.cat((x_221, x_230, x_245, x_248), 1) - x_221 = x_230 = x_245 = x_248 = None - x_249 = torch.conv2d( - out_11, - l_self_modules_features_modules_15_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_15_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_250 = torch.nn.functional.batch_norm( - x_249, - l_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_249 = l_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_bias_ = (None) - x_251 = torch.nn.functional.relu(x_250, inplace=True) - x_250 = None - x_252 = torch.conv2d( - out_11, - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_253 = torch.nn.functional.batch_norm( - x_252, - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_252 = l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_254 = torch.nn.functional.relu(x_253, inplace=True) - x_253 = None - x_255 = torch.conv2d( - x_254, - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_254 = l_self_modules_features_modules_15_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_256 = torch.nn.functional.batch_norm( - x_255, - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_255 = l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_257 = torch.nn.functional.relu(x_256, inplace=True) - x_256 = None - x_258 = torch.conv2d( - x_257, - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_257 = l_self_modules_features_modules_15_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_259 = torch.nn.functional.batch_norm( - x_258, - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_258 = l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_260 = torch.nn.functional.relu(x_259, inplace=True) - x_259 = None - x_261 = torch.conv2d( - out_11, - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_262 = torch.nn.functional.batch_norm( - x_261, - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_261 = l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_263 = torch.nn.functional.relu(x_262, inplace=True) - x_262 = None - x_264 = torch.conv2d( - x_263, - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_263 = l_self_modules_features_modules_15_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_265 = torch.nn.functional.batch_norm( - x_264, - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_264 = l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_266 = torch.nn.functional.relu(x_265, inplace=True) - x_265 = None - x_267 = torch.conv2d( - x_266, - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_266 = l_self_modules_features_modules_15_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_268 = torch.nn.functional.batch_norm( - x_267, - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_267 = l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_269 = torch.nn.functional.relu(x_268, inplace=True) - x_268 = None - x_270 = torch.conv2d( - x_269, - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_269 = l_self_modules_features_modules_15_modules_branch2_modules_3_modules_conv_parameters_weight_ = (None) - x_271 = torch.nn.functional.batch_norm( - x_270, - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_270 = l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_bias_ = (None) - x_272 = torch.nn.functional.relu(x_271, inplace=True) - x_271 = None - x_273 = torch.conv2d( - x_272, - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_272 = l_self_modules_features_modules_15_modules_branch2_modules_4_modules_conv_parameters_weight_ = (None) - x_274 = torch.nn.functional.batch_norm( - x_273, - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_273 = l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_bias_ = (None) - x_275 = torch.nn.functional.relu(x_274, inplace=True) - x_274 = None - input_9 = torch._C._nn.avg_pool2d(out_11, 3, 1, 1, False, False, None) - out_11 = None - x_276 = torch.conv2d( - input_9, - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_9 = l_self_modules_features_modules_15_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_277 = torch.nn.functional.batch_norm( - x_276, - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_276 = l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_278 = torch.nn.functional.relu(x_277, inplace=True) - x_277 = None - out_12 = torch.cat((x_251, x_260, x_275, x_278), 1) - x_251 = x_260 = x_275 = x_278 = None - x_279 = torch.conv2d( - out_12, - l_self_modules_features_modules_16_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_16_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_280 = torch.nn.functional.batch_norm( - x_279, - l_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_279 = l_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_bias_ = (None) - x_281 = torch.nn.functional.relu(x_280, inplace=True) - x_280 = None - x_282 = torch.conv2d( - out_12, - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_283 = torch.nn.functional.batch_norm( - x_282, - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_282 = l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_284 = torch.nn.functional.relu(x_283, inplace=True) - x_283 = None - x_285 = torch.conv2d( - x_284, - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_284 = l_self_modules_features_modules_16_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_286 = torch.nn.functional.batch_norm( - x_285, - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_285 = l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_287 = torch.nn.functional.relu(x_286, inplace=True) - x_286 = None - x_288 = torch.conv2d( - x_287, - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_287 = l_self_modules_features_modules_16_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_289 = torch.nn.functional.batch_norm( - x_288, - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_288 = l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_290 = torch.nn.functional.relu(x_289, inplace=True) - x_289 = None - x_291 = torch.conv2d( - out_12, - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_292 = torch.nn.functional.batch_norm( - x_291, - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_291 = l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_293 = torch.nn.functional.relu(x_292, inplace=True) - x_292 = None - x_294 = torch.conv2d( - x_293, - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_293 = l_self_modules_features_modules_16_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_295 = torch.nn.functional.batch_norm( - x_294, - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_294 = l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_296 = torch.nn.functional.relu(x_295, inplace=True) - x_295 = None - x_297 = torch.conv2d( - x_296, - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_296 = l_self_modules_features_modules_16_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_298 = torch.nn.functional.batch_norm( - x_297, - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_297 = l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_299 = torch.nn.functional.relu(x_298, inplace=True) - x_298 = None - x_300 = torch.conv2d( - x_299, - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_299 = l_self_modules_features_modules_16_modules_branch2_modules_3_modules_conv_parameters_weight_ = (None) - x_301 = torch.nn.functional.batch_norm( - x_300, - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_300 = l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_bias_ = (None) - x_302 = torch.nn.functional.relu(x_301, inplace=True) - x_301 = None - x_303 = torch.conv2d( - x_302, - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_302 = l_self_modules_features_modules_16_modules_branch2_modules_4_modules_conv_parameters_weight_ = (None) - x_304 = torch.nn.functional.batch_norm( - x_303, - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_303 = l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_bias_ = (None) - x_305 = torch.nn.functional.relu(x_304, inplace=True) - x_304 = None - input_10 = torch._C._nn.avg_pool2d(out_12, 3, 1, 1, False, False, None) - out_12 = None - x_306 = torch.conv2d( - input_10, - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_10 = l_self_modules_features_modules_16_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_307 = torch.nn.functional.batch_norm( - x_306, - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_306 = l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_308 = torch.nn.functional.relu(x_307, inplace=True) - x_307 = None - out_13 = torch.cat((x_281, x_290, x_305, x_308), 1) - x_281 = x_290 = x_305 = x_308 = None - x_309 = torch.conv2d( - out_13, - l_self_modules_features_modules_17_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_17_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_310 = torch.nn.functional.batch_norm( - x_309, - l_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_309 = l_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_bias_ = (None) - x_311 = torch.nn.functional.relu(x_310, inplace=True) - x_310 = None - x_312 = torch.conv2d( - out_13, - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_313 = torch.nn.functional.batch_norm( - x_312, - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_312 = l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_314 = torch.nn.functional.relu(x_313, inplace=True) - x_313 = None - x_315 = torch.conv2d( - x_314, - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_314 = l_self_modules_features_modules_17_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_316 = torch.nn.functional.batch_norm( - x_315, - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_315 = l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_317 = torch.nn.functional.relu(x_316, inplace=True) - x_316 = None - x_318 = torch.conv2d( - x_317, - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_317 = l_self_modules_features_modules_17_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_319 = torch.nn.functional.batch_norm( - x_318, - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_318 = l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_320 = torch.nn.functional.relu(x_319, inplace=True) - x_319 = None - x_321 = torch.conv2d( - out_13, - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_322 = torch.nn.functional.batch_norm( - x_321, - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_321 = l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_bias_ = (None) - x_323 = torch.nn.functional.relu(x_322, inplace=True) - x_322 = None - x_324 = torch.conv2d( - x_323, - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_323 = l_self_modules_features_modules_17_modules_branch2_modules_1_modules_conv_parameters_weight_ = (None) - x_325 = torch.nn.functional.batch_norm( - x_324, - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_324 = l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_bias_ = (None) - x_326 = torch.nn.functional.relu(x_325, inplace=True) - x_325 = None - x_327 = torch.conv2d( - x_326, - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_326 = l_self_modules_features_modules_17_modules_branch2_modules_2_modules_conv_parameters_weight_ = (None) - x_328 = torch.nn.functional.batch_norm( - x_327, - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_327 = l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_bias_ = (None) - x_329 = torch.nn.functional.relu(x_328, inplace=True) - x_328 = None - x_330 = torch.conv2d( - x_329, - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_329 = l_self_modules_features_modules_17_modules_branch2_modules_3_modules_conv_parameters_weight_ = (None) - x_331 = torch.nn.functional.batch_norm( - x_330, - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_330 = l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_bias_ = (None) - x_332 = torch.nn.functional.relu(x_331, inplace=True) - x_331 = None - x_333 = torch.conv2d( - x_332, - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_332 = l_self_modules_features_modules_17_modules_branch2_modules_4_modules_conv_parameters_weight_ = (None) - x_334 = torch.nn.functional.batch_norm( - x_333, - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_333 = l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_bias_ = (None) - x_335 = torch.nn.functional.relu(x_334, inplace=True) - x_334 = None - input_11 = torch._C._nn.avg_pool2d(out_13, 3, 1, 1, False, False, None) - out_13 = None - x_336 = torch.conv2d( - input_11, - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_11 = l_self_modules_features_modules_17_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_337 = torch.nn.functional.batch_norm( - x_336, - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_336 = l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_338 = torch.nn.functional.relu(x_337, inplace=True) - x_337 = None - out_14 = torch.cat((x_311, x_320, x_335, x_338), 1) - x_311 = x_320 = x_335 = x_338 = None - x_339 = torch.conv2d( - out_14, - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_340 = torch.nn.functional.batch_norm( - x_339, - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_339 = l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_bias_ = (None) - x_341 = torch.nn.functional.relu(x_340, inplace=True) - x_340 = None - x_342 = torch.conv2d( - x_341, - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_conv_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_341 = l_self_modules_features_modules_18_modules_branch0_modules_1_modules_conv_parameters_weight_ = (None) - x_343 = torch.nn.functional.batch_norm( - x_342, - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_342 = l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_bias_ = (None) - x_344 = torch.nn.functional.relu(x_343, inplace=True) - x_343 = None - x_345 = torch.conv2d( - out_14, - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_conv_parameters_weight_ = ( - None - ) - x_346 = torch.nn.functional.batch_norm( - x_345, - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_345 = l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_bias_ = (None) - x_347 = torch.nn.functional.relu(x_346, inplace=True) - x_346 = None - x_348 = torch.conv2d( - x_347, - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 3), - (1, 1), - 1, - ) - x_347 = l_self_modules_features_modules_18_modules_branch1_modules_1_modules_conv_parameters_weight_ = (None) - x_349 = torch.nn.functional.batch_norm( - x_348, - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_348 = l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_bias_ = (None) - x_350 = torch.nn.functional.relu(x_349, inplace=True) - x_349 = None - x_351 = torch.conv2d( - x_350, - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_conv_parameters_weight_, - None, - (1, 1), - (3, 0), - (1, 1), - 1, - ) - x_350 = l_self_modules_features_modules_18_modules_branch1_modules_2_modules_conv_parameters_weight_ = (None) - x_352 = torch.nn.functional.batch_norm( - x_351, - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_351 = l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_bias_ = (None) - x_353 = torch.nn.functional.relu(x_352, inplace=True) - x_352 = None - x_354 = torch.conv2d( - x_353, - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_conv_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_353 = l_self_modules_features_modules_18_modules_branch1_modules_3_modules_conv_parameters_weight_ = (None) - x_355 = torch.nn.functional.batch_norm( - x_354, - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_var_, - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_weight_, - l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_354 = l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_var_ = l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_weight_ = l_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_bias_ = (None) - x_356 = torch.nn.functional.relu(x_355, inplace=True) - x_355 = None - x2_1 = torch.nn.functional.max_pool2d( - out_14, 3, 2, 0, 1, ceil_mode=False, return_indices=False - ) - out_14 = None - out_15 = torch.cat((x_344, x_356, x2_1), 1) - x_344 = x_356 = x2_1 = None - x_357 = torch.conv2d( - out_15, - l_self_modules_features_modules_19_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_19_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_358 = torch.nn.functional.batch_norm( - x_357, - l_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_357 = l_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_bias_ = (None) - x_359 = torch.nn.functional.relu(x_358, inplace=True) - x_358 = None - x_360 = torch.conv2d( - out_15, - l_self_modules_features_modules_19_modules_branch1_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_19_modules_branch1_0_modules_conv_parameters_weight_ = ( - None - ) - x_361 = torch.nn.functional.batch_norm( - x_360, - l_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_360 = l_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_bias_ = (None) - x_362 = torch.nn.functional.relu(x_361, inplace=True) - x_361 = None - x_363 = torch.conv2d( - x_362, - l_self_modules_features_modules_19_modules_branch1_1a_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 1), - (1, 1), - 1, - ) - l_self_modules_features_modules_19_modules_branch1_1a_modules_conv_parameters_weight_ = ( - None - ) - x_364 = torch.nn.functional.batch_norm( - x_363, - l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_363 = l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_bias_ = (None) - x_365 = torch.nn.functional.relu(x_364, inplace=True) - x_364 = None - x_366 = torch.conv2d( - x_362, - l_self_modules_features_modules_19_modules_branch1_1b_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 0), - (1, 1), - 1, - ) - x_362 = l_self_modules_features_modules_19_modules_branch1_1b_modules_conv_parameters_weight_ = (None) - x_367 = torch.nn.functional.batch_norm( - x_366, - l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_366 = l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_bias_ = (None) - x_368 = torch.nn.functional.relu(x_367, inplace=True) - x_367 = None - x1_1 = torch.cat((x_365, x_368), 1) - x_365 = x_368 = None - x_369 = torch.conv2d( - out_15, - l_self_modules_features_modules_19_modules_branch2_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_19_modules_branch2_0_modules_conv_parameters_weight_ = ( - None - ) - x_370 = torch.nn.functional.batch_norm( - x_369, - l_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_369 = l_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_bias_ = (None) - x_371 = torch.nn.functional.relu(x_370, inplace=True) - x_370 = None - x_372 = torch.conv2d( - x_371, - l_self_modules_features_modules_19_modules_branch2_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 0), - (1, 1), - 1, - ) - x_371 = l_self_modules_features_modules_19_modules_branch2_1_modules_conv_parameters_weight_ = (None) - x_373 = torch.nn.functional.batch_norm( - x_372, - l_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_372 = l_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_bias_ = (None) - x_374 = torch.nn.functional.relu(x_373, inplace=True) - x_373 = None - x_375 = torch.conv2d( - x_374, - l_self_modules_features_modules_19_modules_branch2_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 1), - (1, 1), - 1, - ) - x_374 = l_self_modules_features_modules_19_modules_branch2_2_modules_conv_parameters_weight_ = (None) - x_376 = torch.nn.functional.batch_norm( - x_375, - l_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_375 = l_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_bias_ = (None) - x_377 = torch.nn.functional.relu(x_376, inplace=True) - x_376 = None - x_378 = torch.conv2d( - x_377, - l_self_modules_features_modules_19_modules_branch2_3a_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 1), - (1, 1), - 1, - ) - l_self_modules_features_modules_19_modules_branch2_3a_modules_conv_parameters_weight_ = ( - None - ) - x_379 = torch.nn.functional.batch_norm( - x_378, - l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_378 = l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_bias_ = (None) - x_380 = torch.nn.functional.relu(x_379, inplace=True) - x_379 = None - x_381 = torch.conv2d( - x_377, - l_self_modules_features_modules_19_modules_branch2_3b_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 0), - (1, 1), - 1, - ) - x_377 = l_self_modules_features_modules_19_modules_branch2_3b_modules_conv_parameters_weight_ = (None) - x_382 = torch.nn.functional.batch_norm( - x_381, - l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_381 = l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_bias_ = (None) - x_383 = torch.nn.functional.relu(x_382, inplace=True) - x_382 = None - x2_2 = torch.cat((x_380, x_383), 1) - x_380 = x_383 = None - input_12 = torch._C._nn.avg_pool2d(out_15, 3, 1, 1, False, False, None) - out_15 = None - x_384 = torch.conv2d( - input_12, - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_12 = l_self_modules_features_modules_19_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_385 = torch.nn.functional.batch_norm( - x_384, - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_384 = l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_386 = torch.nn.functional.relu(x_385, inplace=True) - x_385 = None - out_16 = torch.cat((x_359, x1_1, x2_2, x_386), 1) - x_359 = x1_1 = x2_2 = x_386 = None - x_387 = torch.conv2d( - out_16, - l_self_modules_features_modules_20_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_20_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_388 = torch.nn.functional.batch_norm( - x_387, - l_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_387 = l_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_bias_ = (None) - x_389 = torch.nn.functional.relu(x_388, inplace=True) - x_388 = None - x_390 = torch.conv2d( - out_16, - l_self_modules_features_modules_20_modules_branch1_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_20_modules_branch1_0_modules_conv_parameters_weight_ = ( - None - ) - x_391 = torch.nn.functional.batch_norm( - x_390, - l_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_390 = l_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_bias_ = (None) - x_392 = torch.nn.functional.relu(x_391, inplace=True) - x_391 = None - x_393 = torch.conv2d( - x_392, - l_self_modules_features_modules_20_modules_branch1_1a_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 1), - (1, 1), - 1, - ) - l_self_modules_features_modules_20_modules_branch1_1a_modules_conv_parameters_weight_ = ( - None - ) - x_394 = torch.nn.functional.batch_norm( - x_393, - l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_393 = l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_bias_ = (None) - x_395 = torch.nn.functional.relu(x_394, inplace=True) - x_394 = None - x_396 = torch.conv2d( - x_392, - l_self_modules_features_modules_20_modules_branch1_1b_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 0), - (1, 1), - 1, - ) - x_392 = l_self_modules_features_modules_20_modules_branch1_1b_modules_conv_parameters_weight_ = (None) - x_397 = torch.nn.functional.batch_norm( - x_396, - l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_396 = l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_bias_ = (None) - x_398 = torch.nn.functional.relu(x_397, inplace=True) - x_397 = None - x1_2 = torch.cat((x_395, x_398), 1) - x_395 = x_398 = None - x_399 = torch.conv2d( - out_16, - l_self_modules_features_modules_20_modules_branch2_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_20_modules_branch2_0_modules_conv_parameters_weight_ = ( - None - ) - x_400 = torch.nn.functional.batch_norm( - x_399, - l_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_399 = l_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_bias_ = (None) - x_401 = torch.nn.functional.relu(x_400, inplace=True) - x_400 = None - x_402 = torch.conv2d( - x_401, - l_self_modules_features_modules_20_modules_branch2_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 0), - (1, 1), - 1, - ) - x_401 = l_self_modules_features_modules_20_modules_branch2_1_modules_conv_parameters_weight_ = (None) - x_403 = torch.nn.functional.batch_norm( - x_402, - l_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_402 = l_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_bias_ = (None) - x_404 = torch.nn.functional.relu(x_403, inplace=True) - x_403 = None - x_405 = torch.conv2d( - x_404, - l_self_modules_features_modules_20_modules_branch2_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 1), - (1, 1), - 1, - ) - x_404 = l_self_modules_features_modules_20_modules_branch2_2_modules_conv_parameters_weight_ = (None) - x_406 = torch.nn.functional.batch_norm( - x_405, - l_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_405 = l_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_bias_ = (None) - x_407 = torch.nn.functional.relu(x_406, inplace=True) - x_406 = None - x_408 = torch.conv2d( - x_407, - l_self_modules_features_modules_20_modules_branch2_3a_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 1), - (1, 1), - 1, - ) - l_self_modules_features_modules_20_modules_branch2_3a_modules_conv_parameters_weight_ = ( - None - ) - x_409 = torch.nn.functional.batch_norm( - x_408, - l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_408 = l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_bias_ = (None) - x_410 = torch.nn.functional.relu(x_409, inplace=True) - x_409 = None - x_411 = torch.conv2d( - x_407, - l_self_modules_features_modules_20_modules_branch2_3b_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 0), - (1, 1), - 1, - ) - x_407 = l_self_modules_features_modules_20_modules_branch2_3b_modules_conv_parameters_weight_ = (None) - x_412 = torch.nn.functional.batch_norm( - x_411, - l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_411 = l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_bias_ = (None) - x_413 = torch.nn.functional.relu(x_412, inplace=True) - x_412 = None - x2_3 = torch.cat((x_410, x_413), 1) - x_410 = x_413 = None - input_13 = torch._C._nn.avg_pool2d(out_16, 3, 1, 1, False, False, None) - out_16 = None - x_414 = torch.conv2d( - input_13, - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_13 = l_self_modules_features_modules_20_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_415 = torch.nn.functional.batch_norm( - x_414, - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_414 = l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_416 = torch.nn.functional.relu(x_415, inplace=True) - x_415 = None - out_17 = torch.cat((x_389, x1_2, x2_3, x_416), 1) - x_389 = x1_2 = x2_3 = x_416 = None - x_417 = torch.conv2d( - out_17, - l_self_modules_features_modules_21_modules_branch0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_21_modules_branch0_modules_conv_parameters_weight_ = ( - None - ) - x_418 = torch.nn.functional.batch_norm( - x_417, - l_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_417 = l_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_bias_ = (None) - x_419 = torch.nn.functional.relu(x_418, inplace=True) - x_418 = None - x_420 = torch.conv2d( - out_17, - l_self_modules_features_modules_21_modules_branch1_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_21_modules_branch1_0_modules_conv_parameters_weight_ = ( - None - ) - x_421 = torch.nn.functional.batch_norm( - x_420, - l_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_420 = l_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_bias_ = (None) - x_422 = torch.nn.functional.relu(x_421, inplace=True) - x_421 = None - x_423 = torch.conv2d( - x_422, - l_self_modules_features_modules_21_modules_branch1_1a_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 1), - (1, 1), - 1, - ) - l_self_modules_features_modules_21_modules_branch1_1a_modules_conv_parameters_weight_ = ( - None - ) - x_424 = torch.nn.functional.batch_norm( - x_423, - l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_423 = l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_bias_ = (None) - x_425 = torch.nn.functional.relu(x_424, inplace=True) - x_424 = None - x_426 = torch.conv2d( - x_422, - l_self_modules_features_modules_21_modules_branch1_1b_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 0), - (1, 1), - 1, - ) - x_422 = l_self_modules_features_modules_21_modules_branch1_1b_modules_conv_parameters_weight_ = (None) - x_427 = torch.nn.functional.batch_norm( - x_426, - l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_426 = l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_bias_ = (None) - x_428 = torch.nn.functional.relu(x_427, inplace=True) - x_427 = None - x1_3 = torch.cat((x_425, x_428), 1) - x_425 = x_428 = None - x_429 = torch.conv2d( - out_17, - l_self_modules_features_modules_21_modules_branch2_0_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_features_modules_21_modules_branch2_0_modules_conv_parameters_weight_ = ( - None - ) - x_430 = torch.nn.functional.batch_norm( - x_429, - l_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_429 = l_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_bias_ = (None) - x_431 = torch.nn.functional.relu(x_430, inplace=True) - x_430 = None - x_432 = torch.conv2d( - x_431, - l_self_modules_features_modules_21_modules_branch2_1_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 0), - (1, 1), - 1, - ) - x_431 = l_self_modules_features_modules_21_modules_branch2_1_modules_conv_parameters_weight_ = (None) - x_433 = torch.nn.functional.batch_norm( - x_432, - l_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_432 = l_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_bias_ = (None) - x_434 = torch.nn.functional.relu(x_433, inplace=True) - x_433 = None - x_435 = torch.conv2d( - x_434, - l_self_modules_features_modules_21_modules_branch2_2_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 1), - (1, 1), - 1, - ) - x_434 = l_self_modules_features_modules_21_modules_branch2_2_modules_conv_parameters_weight_ = (None) - x_436 = torch.nn.functional.batch_norm( - x_435, - l_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_435 = l_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_bias_ = (None) - x_437 = torch.nn.functional.relu(x_436, inplace=True) - x_436 = None - x_438 = torch.conv2d( - x_437, - l_self_modules_features_modules_21_modules_branch2_3a_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 1), - (1, 1), - 1, - ) - l_self_modules_features_modules_21_modules_branch2_3a_modules_conv_parameters_weight_ = ( - None - ) - x_439 = torch.nn.functional.batch_norm( - x_438, - l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_438 = l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_bias_ = (None) - x_440 = torch.nn.functional.relu(x_439, inplace=True) - x_439 = None - x_441 = torch.conv2d( - x_437, - l_self_modules_features_modules_21_modules_branch2_3b_modules_conv_parameters_weight_, - None, - (1, 1), - (1, 0), - (1, 1), - 1, - ) - x_437 = l_self_modules_features_modules_21_modules_branch2_3b_modules_conv_parameters_weight_ = (None) - x_442 = torch.nn.functional.batch_norm( - x_441, - l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_441 = l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_bias_ = (None) - x_443 = torch.nn.functional.relu(x_442, inplace=True) - x_442 = None - x2_4 = torch.cat((x_440, x_443), 1) - x_440 = x_443 = None - input_14 = torch._C._nn.avg_pool2d(out_17, 3, 1, 1, False, False, None) - out_17 = None - x_444 = torch.conv2d( - input_14, - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_conv_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_14 = l_self_modules_features_modules_21_modules_branch3_modules_1_modules_conv_parameters_weight_ = (None) - x_445 = torch.nn.functional.batch_norm( - x_444, - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_mean_, - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_var_, - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_weight_, - l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_bias_, - False, - 0.1, - 0.001, - ) - x_444 = l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_var_ = l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_weight_ = l_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_bias_ = (None) - x_446 = torch.nn.functional.relu(x_445, inplace=True) - x_445 = None - out_18 = torch.cat((x_419, x1_3, x2_4, x_446), 1) - x_419 = x1_3 = x2_4 = x_446 = None - x_447 = torch.nn.functional.adaptive_avg_pool2d(out_18, 1) - out_18 = None - x_448 = x_447.flatten(1, -1) - x_447 = None - x_449 = torch.nn.functional.dropout(x_448, 0.0, False, False) - x_448 = None - x_450 = torch._C._nn.linear( - x_449, - l_self_modules_last_linear_parameters_weight_, - l_self_modules_last_linear_parameters_bias_, - ) - x_449 = ( - l_self_modules_last_linear_parameters_weight_ - ) = l_self_modules_last_linear_parameters_bias_ = None - return (x_450,) diff --git a/samples/timm/inception_v4.tf_in1k/weight_meta.py b/samples/timm/inception_v4.tf_in1k/weight_meta.py deleted file mode 100644 index 96e1f0ee8..000000000 --- a/samples/timm/inception_v4.tf_in1k/weight_meta.py +++ /dev/null @@ -1,7530 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_0_modules_conv_parameters_weight_" - shape = [32, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.113 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.225 - std = 1.286 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_0_modules_bn_buffers_running_mean_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_0_modules_bn_buffers_running_var_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_0_modules_bn_parameters_weight_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_0_modules_bn_parameters_bias_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_1_modules_conv_parameters_weight_" - shape = [32, 32, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.034 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_1_modules_bn_buffers_running_mean_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_1_modules_bn_buffers_running_var_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_1_modules_bn_parameters_weight_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_1_modules_bn_parameters_bias_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_2_modules_conv_parameters_weight_" - shape = [64, 32, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.034 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_2_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_2_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_2_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_2_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_conv_modules_conv_parameters_weight_: - name = ( - "L_self_modules_features_modules_3_modules_conv_modules_conv_parameters_weight_" - ) - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_var_: - name = ( - "L_self_modules_features_modules_3_modules_conv_modules_bn_buffers_running_var_" - ) - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_conv_modules_bn_parameters_weight_: - name = ( - "L_self_modules_features_modules_3_modules_conv_modules_bn_parameters_weight_" - ) - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_3_modules_conv_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_0_modules_conv_parameters_weight_" - shape = [64, 160, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_1_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_4_modules_branch0_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [64, 160, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [64, 64, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.027 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [64, 64, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.027 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_3_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_4_modules_branch1_modules_3_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_conv_modules_conv_parameters_weight_: - name = ( - "L_self_modules_features_modules_5_modules_conv_modules_conv_parameters_weight_" - ) - shape = [192, 192, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_var_: - name = ( - "L_self_modules_features_modules_5_modules_conv_modules_bn_buffers_running_var_" - ) - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_conv_modules_bn_parameters_weight_: - name = ( - "L_self_modules_features_modules_5_modules_conv_modules_bn_parameters_weight_" - ) - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_conv_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_5_modules_conv_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch0_modules_conv_parameters_weight_" - shape = [96, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_6_modules_branch0_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_6_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [64, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_6_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [64, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [96, 96, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_6_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [96, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_6_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch0_modules_conv_parameters_weight_" - shape = [96, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_7_modules_branch0_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_7_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [64, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_7_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [64, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [96, 96, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_7_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [96, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_7_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch0_modules_conv_parameters_weight_" - shape = [96, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_8_modules_branch0_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_8_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [64, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_8_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [64, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [96, 96, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_8_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [96, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_8_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch0_modules_conv_parameters_weight_" - shape = [96, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_9_modules_branch0_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_9_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [64, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_9_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [64, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [96, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [96, 96, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_9_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [96, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_9_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [96] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_10_modules_branch0_modules_conv_parameters_weight_" - shape = [384, 384, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.010 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_10_modules_branch0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_10_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [192, 384, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [224, 192, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [256, 224, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_10_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch0_modules_conv_parameters_weight_" - shape = [384, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_11_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [256, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_11_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [192, 192, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_3_modules_conv_parameters_weight_" - shape = [224, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_3_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_4_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_4_modules_conv_parameters_weight_" - shape = [256, 224, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_11_modules_branch2_modules_4_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [128, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_11_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch0_modules_conv_parameters_weight_" - shape = [384, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_12_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [256, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_12_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [192, 192, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_3_modules_conv_parameters_weight_" - shape = [224, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_3_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_4_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_4_modules_conv_parameters_weight_" - shape = [256, 224, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_12_modules_branch2_modules_4_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [128, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_12_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch0_modules_conv_parameters_weight_" - shape = [384, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_13_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [256, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_13_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [192, 192, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_3_modules_conv_parameters_weight_" - shape = [224, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_3_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_4_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_4_modules_conv_parameters_weight_" - shape = [256, 224, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_13_modules_branch2_modules_4_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [128, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_13_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch0_modules_conv_parameters_weight_" - shape = [384, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_14_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [256, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_14_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [192, 192, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_3_modules_conv_parameters_weight_" - shape = [224, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_3_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_4_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_4_modules_conv_parameters_weight_" - shape = [256, 224, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_14_modules_branch2_modules_4_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [128, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_14_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch0_modules_conv_parameters_weight_" - shape = [384, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_15_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [256, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_15_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [192, 192, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_3_modules_conv_parameters_weight_" - shape = [224, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_3_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_4_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_4_modules_conv_parameters_weight_" - shape = [256, 224, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_15_modules_branch2_modules_4_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [128, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_15_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch0_modules_conv_parameters_weight_" - shape = [384, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_16_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [256, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_16_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [192, 192, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_3_modules_conv_parameters_weight_" - shape = [224, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_3_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_4_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_4_modules_conv_parameters_weight_" - shape = [256, 224, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_16_modules_branch2_modules_4_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [128, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_16_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch0_modules_conv_parameters_weight_" - shape = [384, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_17_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [256, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_17_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_1_modules_conv_parameters_weight_" - shape = [192, 192, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_1_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_2_modules_conv_parameters_weight_" - shape = [224, 192, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_2_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_3_modules_conv_parameters_weight_" - shape = [224, 224, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_mean_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_buffers_running_var_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_weight_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_3_modules_bn_parameters_bias_" - shape = [224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_4_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_4_modules_conv_parameters_weight_" - shape = [256, 224, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_17_modules_branch2_modules_4_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [128, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_17_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_0_modules_conv_parameters_weight_" - shape = [192, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_0_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_1_modules_conv_parameters_weight_" - shape = [192, 192, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_mean_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_buffers_running_var_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_weight_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_18_modules_branch0_modules_1_modules_bn_parameters_bias_" - shape = [192] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_0_modules_conv_parameters_weight_" - shape = [256, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_0_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_1_modules_conv_parameters_weight_" - shape = [256, 256, 1, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_1_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_2_modules_conv_parameters_weight_" - shape = [320, 256, 7, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_mean_" - shape = [320] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_buffers_running_var_" - shape = [320] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_weight_" - shape = [320] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_2_modules_bn_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_3_modules_conv_parameters_weight_" - shape = [320, 320, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.011 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_mean_" - shape = [320] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_buffers_running_var_" - shape = [320] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_weight_" - shape = [320] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_18_modules_branch1_modules_3_modules_bn_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch0_modules_conv_parameters_weight_" - shape = [256, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_19_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch1_0_modules_conv_parameters_weight_" - shape = [384, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch1_0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_19_modules_branch1_0_modules_bn_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1a_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch1_1a_modules_conv_parameters_weight_" - shape = [256, 384, 1, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_19_modules_branch1_1a_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1b_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch1_1b_modules_conv_parameters_weight_" - shape = [256, 384, 3, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_19_modules_branch1_1b_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_0_modules_conv_parameters_weight_" - shape = [384, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch2_0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_19_modules_branch2_0_modules_bn_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_1_modules_conv_parameters_weight_" - shape = [448, 384, 3, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_mean_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch2_1_modules_bn_buffers_running_var_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_weight_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_19_modules_branch2_1_modules_bn_parameters_bias_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_2_modules_conv_parameters_weight_" - shape = [512, 448, 1, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch2_2_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_19_modules_branch2_2_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3a_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_3a_modules_conv_parameters_weight_" - shape = [256, 512, 1, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_19_modules_branch2_3a_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3b_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_3b_modules_conv_parameters_weight_" - shape = [256, 512, 3, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_19_modules_branch2_3b_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [256, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_19_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch0_modules_conv_parameters_weight_" - shape = [256, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_20_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch1_0_modules_conv_parameters_weight_" - shape = [384, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch1_0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_20_modules_branch1_0_modules_bn_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1a_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch1_1a_modules_conv_parameters_weight_" - shape = [256, 384, 1, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_20_modules_branch1_1a_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1b_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch1_1b_modules_conv_parameters_weight_" - shape = [256, 384, 3, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_20_modules_branch1_1b_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_0_modules_conv_parameters_weight_" - shape = [384, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch2_0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_20_modules_branch2_0_modules_bn_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_1_modules_conv_parameters_weight_" - shape = [448, 384, 3, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_mean_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch2_1_modules_bn_buffers_running_var_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_weight_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_20_modules_branch2_1_modules_bn_parameters_bias_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_2_modules_conv_parameters_weight_" - shape = [512, 448, 1, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch2_2_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_20_modules_branch2_2_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3a_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_3a_modules_conv_parameters_weight_" - shape = [256, 512, 1, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_20_modules_branch2_3a_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3b_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_3b_modules_conv_parameters_weight_" - shape = [256, 512, 3, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_20_modules_branch2_3b_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [256, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_20_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch0_modules_conv_parameters_weight_" - shape = [256, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch0_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_bias_: - name = ( - "L_self_modules_features_modules_21_modules_branch0_modules_bn_parameters_bias_" - ) - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch1_0_modules_conv_parameters_weight_" - shape = [384, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch1_0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_21_modules_branch1_0_modules_bn_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1a_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch1_1a_modules_conv_parameters_weight_" - shape = [256, 384, 1, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_21_modules_branch1_1a_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1b_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch1_1b_modules_conv_parameters_weight_" - shape = [256, 384, 3, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_21_modules_branch1_1b_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_0_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_0_modules_conv_parameters_weight_" - shape = [384, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_mean_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch2_0_modules_bn_buffers_running_var_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_weight_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_21_modules_branch2_0_modules_bn_parameters_bias_" - shape = [384] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_1_modules_conv_parameters_weight_" - shape = [448, 384, 3, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_mean_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch2_1_modules_bn_buffers_running_var_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_weight_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_21_modules_branch2_1_modules_bn_parameters_bias_" - shape = [448] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_2_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_2_modules_conv_parameters_weight_" - shape = [512, 448, 1, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch2_2_modules_bn_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_21_modules_branch2_2_modules_bn_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3a_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_3a_modules_conv_parameters_weight_" - shape = [256, 512, 1, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_21_modules_branch2_3a_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3b_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_3b_modules_conv_parameters_weight_" - shape = [256, 512, 3, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_21_modules_branch2_3b_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch3_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch3_modules_1_modules_conv_parameters_weight_" - shape = [256, 1536, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_mean_: - name = "L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_var_: - name = "L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_weight_: - name = "L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_bias_: - name = "L_self_modules_features_modules_21_modules_branch3_modules_1_modules_bn_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_last_linear_parameters_weight_: - name = "L_self_modules_last_linear_parameters_weight_" - shape = [1000, 1536] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_last_linear_parameters_bias_: - name = "L_self_modules_last_linear_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None diff --git a/samples/timm/res2net101_26w_4s.in1k/graph_hash.txt b/samples/timm/res2net101_26w_4s.in1k/graph_hash.txt deleted file mode 100644 index ecfc5960d..000000000 --- a/samples/timm/res2net101_26w_4s.in1k/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -a4f4738368e8b4c4be8fc0f4844e15ce10bd1dfb24b978f77f3e3482f138e2a6 \ No newline at end of file diff --git a/samples/timm/res2net101_26w_4s.in1k/graph_net.json b/samples/timm/res2net101_26w_4s.in1k/graph_net.json deleted file mode 100644 index 5a6dada2f..000000000 --- a/samples/timm/res2net101_26w_4s.in1k/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "timm", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/timm/res2net101_26w_4s.in1k/input_meta.py b/samples/timm/res2net101_26w_4s.in1k/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/res2net101_26w_4s.in1k/input_tensor_constraints.py b/samples/timm/res2net101_26w_4s.in1k/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/res2net101_26w_4s.in1k/model.py b/samples/timm/res2net101_26w_4s.in1k/model.py deleted file mode 100644 index 02001dcd8..000000000 --- a/samples/timm/res2net101_26w_4s.in1k/model.py +++ /dev/null @@ -1,9241 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_conv1_parameters_weight_ = ( - L_self_modules_conv1_parameters_weight_ - ) - l_x_ = L_x_ - l_self_modules_bn1_buffers_running_mean_ = ( - L_self_modules_bn1_buffers_running_mean_ - ) - l_self_modules_bn1_buffers_running_var_ = ( - L_self_modules_bn1_buffers_running_var_ - ) - l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_ - l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_ - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ - l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - x = torch.conv2d( - l_x_, - l_self_modules_conv1_parameters_weight_, - None, - (2, 2), - (3, 3), - (1, 1), - 1, - ) - l_x_ = l_self_modules_conv1_parameters_weight_ = None - x_1 = torch.nn.functional.batch_norm( - x, - l_self_modules_bn1_buffers_running_mean_, - l_self_modules_bn1_buffers_running_var_, - l_self_modules_bn1_parameters_weight_, - l_self_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x = ( - l_self_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_bn1_parameters_weight_ - ) = l_self_modules_bn1_parameters_bias_ = None - x_2 = torch.nn.functional.relu(x_1, inplace=True) - x_1 = None - x_3 = torch.nn.functional.max_pool2d( - x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False - ) - x_2 = None - out = torch.conv2d( - x_3, - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None - out_1 = torch.nn.functional.batch_norm( - out, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None - out_2 = torch.nn.functional.relu(out_1, inplace=True) - out_1 = None - split = torch.functional.split(out_2, 26, 1) - out_2 = None - sp = split[0] - sp_4 = split[1] - sp_8 = split[2] - getitem_3 = split[3] - split = None - sp_1 = torch.conv2d( - sp, - l_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp = ( - l_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_ - ) = None - sp_2 = torch.nn.functional.batch_norm( - sp_1, - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_1 = ( - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_ - ) = None - sp_3 = torch.nn.functional.relu(sp_2, inplace=True) - sp_2 = None - sp_5 = torch.conv2d( - sp_4, - l_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_4 = ( - l_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_ - ) = None - sp_6 = torch.nn.functional.batch_norm( - sp_5, - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_5 = ( - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_ - ) = None - sp_7 = torch.nn.functional.relu(sp_6, inplace=True) - sp_6 = None - sp_9 = torch.conv2d( - sp_8, - l_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_8 = ( - l_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_ - ) = None - sp_10 = torch.nn.functional.batch_norm( - sp_9, - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_9 = ( - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_ - ) = None - sp_11 = torch.nn.functional.relu(sp_10, inplace=True) - sp_10 = None - avg_pool2d = torch._C._nn.avg_pool2d(getitem_3, 3, 1, 1, False, True, None) - getitem_3 = None - out_3 = torch.cat([sp_3, sp_7, sp_11, avg_pool2d], 1) - sp_3 = sp_7 = sp_11 = avg_pool2d = None - out_4 = torch.conv2d( - out_3, - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_3 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None - out_5 = torch.nn.functional.batch_norm( - out_4, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_4 = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None - input_1 = torch.conv2d( - x_3, - l_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_3 = l_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_2 = torch.nn.functional.batch_norm( - input_1, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_1 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_5 += input_2 - out_6 = out_5 - out_5 = input_2 = None - out_7 = torch.nn.functional.relu(out_6, inplace=True) - out_6 = None - out_8 = torch.conv2d( - out_7, - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None - out_9 = torch.nn.functional.batch_norm( - out_8, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_8 = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None - out_10 = torch.nn.functional.relu(out_9, inplace=True) - out_9 = None - split_1 = torch.functional.split(out_10, 26, 1) - out_10 = None - sp_12 = split_1[0] - getitem_5 = split_1[1] - getitem_6 = split_1[2] - getitem_7 = split_1[3] - split_1 = None - sp_13 = torch.conv2d( - sp_12, - l_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_12 = ( - l_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_ - ) = None - sp_14 = torch.nn.functional.batch_norm( - sp_13, - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_13 = ( - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_ - ) = None - sp_15 = torch.nn.functional.relu(sp_14, inplace=True) - sp_14 = None - sp_16 = sp_15 + getitem_5 - getitem_5 = None - sp_17 = torch.conv2d( - sp_16, - l_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_16 = ( - l_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_ - ) = None - sp_18 = torch.nn.functional.batch_norm( - sp_17, - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_17 = ( - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_ - ) = None - sp_19 = torch.nn.functional.relu(sp_18, inplace=True) - sp_18 = None - sp_20 = sp_19 + getitem_6 - getitem_6 = None - sp_21 = torch.conv2d( - sp_20, - l_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_20 = ( - l_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_ - ) = None - sp_22 = torch.nn.functional.batch_norm( - sp_21, - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_21 = ( - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_ - ) = None - sp_23 = torch.nn.functional.relu(sp_22, inplace=True) - sp_22 = None - out_11 = torch.cat([sp_15, sp_19, sp_23, getitem_7], 1) - sp_15 = sp_19 = sp_23 = getitem_7 = None - out_12 = torch.conv2d( - out_11, - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_11 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None - out_13 = torch.nn.functional.batch_norm( - out_12, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_12 = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None - out_13 += out_7 - out_14 = out_13 - out_13 = out_7 = None - out_15 = torch.nn.functional.relu(out_14, inplace=True) - out_14 = None - out_16 = torch.conv2d( - out_15, - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None - out_17 = torch.nn.functional.batch_norm( - out_16, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_16 = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None - out_18 = torch.nn.functional.relu(out_17, inplace=True) - out_17 = None - split_2 = torch.functional.split(out_18, 26, 1) - out_18 = None - sp_24 = split_2[0] - getitem_9 = split_2[1] - getitem_10 = split_2[2] - getitem_11 = split_2[3] - split_2 = None - sp_25 = torch.conv2d( - sp_24, - l_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_24 = ( - l_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_ - ) = None - sp_26 = torch.nn.functional.batch_norm( - sp_25, - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_25 = ( - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_ - ) = None - sp_27 = torch.nn.functional.relu(sp_26, inplace=True) - sp_26 = None - sp_28 = sp_27 + getitem_9 - getitem_9 = None - sp_29 = torch.conv2d( - sp_28, - l_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_28 = ( - l_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_ - ) = None - sp_30 = torch.nn.functional.batch_norm( - sp_29, - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_29 = ( - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_ - ) = None - sp_31 = torch.nn.functional.relu(sp_30, inplace=True) - sp_30 = None - sp_32 = sp_31 + getitem_10 - getitem_10 = None - sp_33 = torch.conv2d( - sp_32, - l_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_32 = ( - l_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_ - ) = None - sp_34 = torch.nn.functional.batch_norm( - sp_33, - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_33 = ( - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_ - ) = None - sp_35 = torch.nn.functional.relu(sp_34, inplace=True) - sp_34 = None - out_19 = torch.cat([sp_27, sp_31, sp_35, getitem_11], 1) - sp_27 = sp_31 = sp_35 = getitem_11 = None - out_20 = torch.conv2d( - out_19, - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_19 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None - out_21 = torch.nn.functional.batch_norm( - out_20, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_20 = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None - out_21 += out_15 - out_22 = out_21 - out_21 = out_15 = None - out_23 = torch.nn.functional.relu(out_22, inplace=True) - out_22 = None - out_24 = torch.conv2d( - out_23, - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None - out_25 = torch.nn.functional.batch_norm( - out_24, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_24 = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None - out_26 = torch.nn.functional.relu(out_25, inplace=True) - out_25 = None - split_3 = torch.functional.split(out_26, 52, 1) - out_26 = None - sp_36 = split_3[0] - sp_40 = split_3[1] - sp_44 = split_3[2] - getitem_15 = split_3[3] - split_3 = None - sp_37 = torch.conv2d( - sp_36, - l_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_36 = ( - l_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_ - ) = None - sp_38 = torch.nn.functional.batch_norm( - sp_37, - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_37 = ( - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_ - ) = None - sp_39 = torch.nn.functional.relu(sp_38, inplace=True) - sp_38 = None - sp_41 = torch.conv2d( - sp_40, - l_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_40 = ( - l_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_ - ) = None - sp_42 = torch.nn.functional.batch_norm( - sp_41, - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_41 = ( - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_ - ) = None - sp_43 = torch.nn.functional.relu(sp_42, inplace=True) - sp_42 = None - sp_45 = torch.conv2d( - sp_44, - l_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_44 = ( - l_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_ - ) = None - sp_46 = torch.nn.functional.batch_norm( - sp_45, - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_45 = ( - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_ - ) = None - sp_47 = torch.nn.functional.relu(sp_46, inplace=True) - sp_46 = None - avg_pool2d_1 = torch._C._nn.avg_pool2d(getitem_15, 3, 2, 1, False, True, None) - getitem_15 = None - out_27 = torch.cat([sp_39, sp_43, sp_47, avg_pool2d_1], 1) - sp_39 = sp_43 = sp_47 = avg_pool2d_1 = None - out_28 = torch.conv2d( - out_27, - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_27 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None - out_29 = torch.nn.functional.batch_norm( - out_28, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_28 = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None - input_3 = torch.conv2d( - out_23, - l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - out_23 = l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_4 = torch.nn.functional.batch_norm( - input_3, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_3 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_29 += input_4 - out_30 = out_29 - out_29 = input_4 = None - out_31 = torch.nn.functional.relu(out_30, inplace=True) - out_30 = None - out_32 = torch.conv2d( - out_31, - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None - out_33 = torch.nn.functional.batch_norm( - out_32, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_32 = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None - out_34 = torch.nn.functional.relu(out_33, inplace=True) - out_33 = None - split_4 = torch.functional.split(out_34, 52, 1) - out_34 = None - sp_48 = split_4[0] - getitem_17 = split_4[1] - getitem_18 = split_4[2] - getitem_19 = split_4[3] - split_4 = None - sp_49 = torch.conv2d( - sp_48, - l_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_48 = ( - l_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_ - ) = None - sp_50 = torch.nn.functional.batch_norm( - sp_49, - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_49 = ( - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_ - ) = None - sp_51 = torch.nn.functional.relu(sp_50, inplace=True) - sp_50 = None - sp_52 = sp_51 + getitem_17 - getitem_17 = None - sp_53 = torch.conv2d( - sp_52, - l_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_52 = ( - l_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_ - ) = None - sp_54 = torch.nn.functional.batch_norm( - sp_53, - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_53 = ( - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_ - ) = None - sp_55 = torch.nn.functional.relu(sp_54, inplace=True) - sp_54 = None - sp_56 = sp_55 + getitem_18 - getitem_18 = None - sp_57 = torch.conv2d( - sp_56, - l_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_56 = ( - l_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_ - ) = None - sp_58 = torch.nn.functional.batch_norm( - sp_57, - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_57 = ( - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_ - ) = None - sp_59 = torch.nn.functional.relu(sp_58, inplace=True) - sp_58 = None - out_35 = torch.cat([sp_51, sp_55, sp_59, getitem_19], 1) - sp_51 = sp_55 = sp_59 = getitem_19 = None - out_36 = torch.conv2d( - out_35, - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_35 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None - out_37 = torch.nn.functional.batch_norm( - out_36, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_36 = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None - out_37 += out_31 - out_38 = out_37 - out_37 = out_31 = None - out_39 = torch.nn.functional.relu(out_38, inplace=True) - out_38 = None - out_40 = torch.conv2d( - out_39, - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None - out_41 = torch.nn.functional.batch_norm( - out_40, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_40 = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None - out_42 = torch.nn.functional.relu(out_41, inplace=True) - out_41 = None - split_5 = torch.functional.split(out_42, 52, 1) - out_42 = None - sp_60 = split_5[0] - getitem_21 = split_5[1] - getitem_22 = split_5[2] - getitem_23 = split_5[3] - split_5 = None - sp_61 = torch.conv2d( - sp_60, - l_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_60 = ( - l_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_ - ) = None - sp_62 = torch.nn.functional.batch_norm( - sp_61, - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_61 = ( - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_ - ) = None - sp_63 = torch.nn.functional.relu(sp_62, inplace=True) - sp_62 = None - sp_64 = sp_63 + getitem_21 - getitem_21 = None - sp_65 = torch.conv2d( - sp_64, - l_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_64 = ( - l_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_ - ) = None - sp_66 = torch.nn.functional.batch_norm( - sp_65, - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_65 = ( - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_ - ) = None - sp_67 = torch.nn.functional.relu(sp_66, inplace=True) - sp_66 = None - sp_68 = sp_67 + getitem_22 - getitem_22 = None - sp_69 = torch.conv2d( - sp_68, - l_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_68 = ( - l_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_ - ) = None - sp_70 = torch.nn.functional.batch_norm( - sp_69, - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_69 = ( - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_ - ) = None - sp_71 = torch.nn.functional.relu(sp_70, inplace=True) - sp_70 = None - out_43 = torch.cat([sp_63, sp_67, sp_71, getitem_23], 1) - sp_63 = sp_67 = sp_71 = getitem_23 = None - out_44 = torch.conv2d( - out_43, - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_43 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None - out_45 = torch.nn.functional.batch_norm( - out_44, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_44 = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None - out_45 += out_39 - out_46 = out_45 - out_45 = out_39 = None - out_47 = torch.nn.functional.relu(out_46, inplace=True) - out_46 = None - out_48 = torch.conv2d( - out_47, - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None - out_49 = torch.nn.functional.batch_norm( - out_48, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_48 = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None - out_50 = torch.nn.functional.relu(out_49, inplace=True) - out_49 = None - split_6 = torch.functional.split(out_50, 52, 1) - out_50 = None - sp_72 = split_6[0] - getitem_25 = split_6[1] - getitem_26 = split_6[2] - getitem_27 = split_6[3] - split_6 = None - sp_73 = torch.conv2d( - sp_72, - l_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_72 = ( - l_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_ - ) = None - sp_74 = torch.nn.functional.batch_norm( - sp_73, - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_73 = ( - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_ - ) = None - sp_75 = torch.nn.functional.relu(sp_74, inplace=True) - sp_74 = None - sp_76 = sp_75 + getitem_25 - getitem_25 = None - sp_77 = torch.conv2d( - sp_76, - l_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_76 = ( - l_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_ - ) = None - sp_78 = torch.nn.functional.batch_norm( - sp_77, - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_77 = ( - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_ - ) = None - sp_79 = torch.nn.functional.relu(sp_78, inplace=True) - sp_78 = None - sp_80 = sp_79 + getitem_26 - getitem_26 = None - sp_81 = torch.conv2d( - sp_80, - l_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_80 = ( - l_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_ - ) = None - sp_82 = torch.nn.functional.batch_norm( - sp_81, - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_81 = ( - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_ - ) = None - sp_83 = torch.nn.functional.relu(sp_82, inplace=True) - sp_82 = None - out_51 = torch.cat([sp_75, sp_79, sp_83, getitem_27], 1) - sp_75 = sp_79 = sp_83 = getitem_27 = None - out_52 = torch.conv2d( - out_51, - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_51 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None - out_53 = torch.nn.functional.batch_norm( - out_52, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_52 = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None - out_53 += out_47 - out_54 = out_53 - out_53 = out_47 = None - out_55 = torch.nn.functional.relu(out_54, inplace=True) - out_54 = None - out_56 = torch.conv2d( - out_55, - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None - out_57 = torch.nn.functional.batch_norm( - out_56, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_56 = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None - out_58 = torch.nn.functional.relu(out_57, inplace=True) - out_57 = None - split_7 = torch.functional.split(out_58, 104, 1) - out_58 = None - sp_84 = split_7[0] - sp_88 = split_7[1] - sp_92 = split_7[2] - getitem_31 = split_7[3] - split_7 = None - sp_85 = torch.conv2d( - sp_84, - l_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_84 = ( - l_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_ - ) = None - sp_86 = torch.nn.functional.batch_norm( - sp_85, - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_85 = ( - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_ - ) = None - sp_87 = torch.nn.functional.relu(sp_86, inplace=True) - sp_86 = None - sp_89 = torch.conv2d( - sp_88, - l_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_88 = ( - l_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_ - ) = None - sp_90 = torch.nn.functional.batch_norm( - sp_89, - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_89 = ( - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_ - ) = None - sp_91 = torch.nn.functional.relu(sp_90, inplace=True) - sp_90 = None - sp_93 = torch.conv2d( - sp_92, - l_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_92 = ( - l_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_ - ) = None - sp_94 = torch.nn.functional.batch_norm( - sp_93, - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_93 = ( - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_ - ) = None - sp_95 = torch.nn.functional.relu(sp_94, inplace=True) - sp_94 = None - avg_pool2d_2 = torch._C._nn.avg_pool2d(getitem_31, 3, 2, 1, False, True, None) - getitem_31 = None - out_59 = torch.cat([sp_87, sp_91, sp_95, avg_pool2d_2], 1) - sp_87 = sp_91 = sp_95 = avg_pool2d_2 = None - out_60 = torch.conv2d( - out_59, - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_59 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None - out_61 = torch.nn.functional.batch_norm( - out_60, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_60 = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None - input_5 = torch.conv2d( - out_55, - l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - out_55 = l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_6 = torch.nn.functional.batch_norm( - input_5, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_5 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_61 += input_6 - out_62 = out_61 - out_61 = input_6 = None - out_63 = torch.nn.functional.relu(out_62, inplace=True) - out_62 = None - out_64 = torch.conv2d( - out_63, - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None - out_65 = torch.nn.functional.batch_norm( - out_64, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_64 = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None - out_66 = torch.nn.functional.relu(out_65, inplace=True) - out_65 = None - split_8 = torch.functional.split(out_66, 104, 1) - out_66 = None - sp_96 = split_8[0] - getitem_33 = split_8[1] - getitem_34 = split_8[2] - getitem_35 = split_8[3] - split_8 = None - sp_97 = torch.conv2d( - sp_96, - l_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_96 = ( - l_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_ - ) = None - sp_98 = torch.nn.functional.batch_norm( - sp_97, - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_97 = ( - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_ - ) = None - sp_99 = torch.nn.functional.relu(sp_98, inplace=True) - sp_98 = None - sp_100 = sp_99 + getitem_33 - getitem_33 = None - sp_101 = torch.conv2d( - sp_100, - l_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_100 = ( - l_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_ - ) = None - sp_102 = torch.nn.functional.batch_norm( - sp_101, - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_101 = ( - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_ - ) = None - sp_103 = torch.nn.functional.relu(sp_102, inplace=True) - sp_102 = None - sp_104 = sp_103 + getitem_34 - getitem_34 = None - sp_105 = torch.conv2d( - sp_104, - l_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_104 = ( - l_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_ - ) = None - sp_106 = torch.nn.functional.batch_norm( - sp_105, - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_105 = ( - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_ - ) = None - sp_107 = torch.nn.functional.relu(sp_106, inplace=True) - sp_106 = None - out_67 = torch.cat([sp_99, sp_103, sp_107, getitem_35], 1) - sp_99 = sp_103 = sp_107 = getitem_35 = None - out_68 = torch.conv2d( - out_67, - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_67 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None - out_69 = torch.nn.functional.batch_norm( - out_68, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_68 = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None - out_69 += out_63 - out_70 = out_69 - out_69 = out_63 = None - out_71 = torch.nn.functional.relu(out_70, inplace=True) - out_70 = None - out_72 = torch.conv2d( - out_71, - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None - out_73 = torch.nn.functional.batch_norm( - out_72, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_72 = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None - out_74 = torch.nn.functional.relu(out_73, inplace=True) - out_73 = None - split_9 = torch.functional.split(out_74, 104, 1) - out_74 = None - sp_108 = split_9[0] - getitem_37 = split_9[1] - getitem_38 = split_9[2] - getitem_39 = split_9[3] - split_9 = None - sp_109 = torch.conv2d( - sp_108, - l_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_108 = ( - l_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_ - ) = None - sp_110 = torch.nn.functional.batch_norm( - sp_109, - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_109 = ( - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_ - ) = None - sp_111 = torch.nn.functional.relu(sp_110, inplace=True) - sp_110 = None - sp_112 = sp_111 + getitem_37 - getitem_37 = None - sp_113 = torch.conv2d( - sp_112, - l_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_112 = ( - l_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_ - ) = None - sp_114 = torch.nn.functional.batch_norm( - sp_113, - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_113 = ( - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_ - ) = None - sp_115 = torch.nn.functional.relu(sp_114, inplace=True) - sp_114 = None - sp_116 = sp_115 + getitem_38 - getitem_38 = None - sp_117 = torch.conv2d( - sp_116, - l_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_116 = ( - l_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_ - ) = None - sp_118 = torch.nn.functional.batch_norm( - sp_117, - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_117 = ( - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_ - ) = None - sp_119 = torch.nn.functional.relu(sp_118, inplace=True) - sp_118 = None - out_75 = torch.cat([sp_111, sp_115, sp_119, getitem_39], 1) - sp_111 = sp_115 = sp_119 = getitem_39 = None - out_76 = torch.conv2d( - out_75, - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_75 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None - out_77 = torch.nn.functional.batch_norm( - out_76, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_76 = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None - out_77 += out_71 - out_78 = out_77 - out_77 = out_71 = None - out_79 = torch.nn.functional.relu(out_78, inplace=True) - out_78 = None - out_80 = torch.conv2d( - out_79, - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None - out_81 = torch.nn.functional.batch_norm( - out_80, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_80 = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None - out_82 = torch.nn.functional.relu(out_81, inplace=True) - out_81 = None - split_10 = torch.functional.split(out_82, 104, 1) - out_82 = None - sp_120 = split_10[0] - getitem_41 = split_10[1] - getitem_42 = split_10[2] - getitem_43 = split_10[3] - split_10 = None - sp_121 = torch.conv2d( - sp_120, - l_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_120 = ( - l_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_ - ) = None - sp_122 = torch.nn.functional.batch_norm( - sp_121, - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_121 = ( - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_ - ) = None - sp_123 = torch.nn.functional.relu(sp_122, inplace=True) - sp_122 = None - sp_124 = sp_123 + getitem_41 - getitem_41 = None - sp_125 = torch.conv2d( - sp_124, - l_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_124 = ( - l_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_ - ) = None - sp_126 = torch.nn.functional.batch_norm( - sp_125, - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_125 = ( - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_ - ) = None - sp_127 = torch.nn.functional.relu(sp_126, inplace=True) - sp_126 = None - sp_128 = sp_127 + getitem_42 - getitem_42 = None - sp_129 = torch.conv2d( - sp_128, - l_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_128 = ( - l_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_ - ) = None - sp_130 = torch.nn.functional.batch_norm( - sp_129, - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_129 = ( - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_ - ) = None - sp_131 = torch.nn.functional.relu(sp_130, inplace=True) - sp_130 = None - out_83 = torch.cat([sp_123, sp_127, sp_131, getitem_43], 1) - sp_123 = sp_127 = sp_131 = getitem_43 = None - out_84 = torch.conv2d( - out_83, - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_83 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None - out_85 = torch.nn.functional.batch_norm( - out_84, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_84 = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None - out_85 += out_79 - out_86 = out_85 - out_85 = out_79 = None - out_87 = torch.nn.functional.relu(out_86, inplace=True) - out_86 = None - out_88 = torch.conv2d( - out_87, - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None - out_89 = torch.nn.functional.batch_norm( - out_88, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_88 = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None - out_90 = torch.nn.functional.relu(out_89, inplace=True) - out_89 = None - split_11 = torch.functional.split(out_90, 104, 1) - out_90 = None - sp_132 = split_11[0] - getitem_45 = split_11[1] - getitem_46 = split_11[2] - getitem_47 = split_11[3] - split_11 = None - sp_133 = torch.conv2d( - sp_132, - l_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_132 = ( - l_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_ - ) = None - sp_134 = torch.nn.functional.batch_norm( - sp_133, - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_133 = ( - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_ - ) = None - sp_135 = torch.nn.functional.relu(sp_134, inplace=True) - sp_134 = None - sp_136 = sp_135 + getitem_45 - getitem_45 = None - sp_137 = torch.conv2d( - sp_136, - l_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_136 = ( - l_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_ - ) = None - sp_138 = torch.nn.functional.batch_norm( - sp_137, - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_137 = ( - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_ - ) = None - sp_139 = torch.nn.functional.relu(sp_138, inplace=True) - sp_138 = None - sp_140 = sp_139 + getitem_46 - getitem_46 = None - sp_141 = torch.conv2d( - sp_140, - l_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_140 = ( - l_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_ - ) = None - sp_142 = torch.nn.functional.batch_norm( - sp_141, - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_141 = ( - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_ - ) = None - sp_143 = torch.nn.functional.relu(sp_142, inplace=True) - sp_142 = None - out_91 = torch.cat([sp_135, sp_139, sp_143, getitem_47], 1) - sp_135 = sp_139 = sp_143 = getitem_47 = None - out_92 = torch.conv2d( - out_91, - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_91 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None - out_93 = torch.nn.functional.batch_norm( - out_92, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_92 = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None - out_93 += out_87 - out_94 = out_93 - out_93 = out_87 = None - out_95 = torch.nn.functional.relu(out_94, inplace=True) - out_94 = None - out_96 = torch.conv2d( - out_95, - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None - out_97 = torch.nn.functional.batch_norm( - out_96, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_96 = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None - out_98 = torch.nn.functional.relu(out_97, inplace=True) - out_97 = None - split_12 = torch.functional.split(out_98, 104, 1) - out_98 = None - sp_144 = split_12[0] - getitem_49 = split_12[1] - getitem_50 = split_12[2] - getitem_51 = split_12[3] - split_12 = None - sp_145 = torch.conv2d( - sp_144, - l_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_144 = ( - l_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_ - ) = None - sp_146 = torch.nn.functional.batch_norm( - sp_145, - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_145 = ( - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_ - ) = None - sp_147 = torch.nn.functional.relu(sp_146, inplace=True) - sp_146 = None - sp_148 = sp_147 + getitem_49 - getitem_49 = None - sp_149 = torch.conv2d( - sp_148, - l_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_148 = ( - l_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_ - ) = None - sp_150 = torch.nn.functional.batch_norm( - sp_149, - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_149 = ( - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_ - ) = None - sp_151 = torch.nn.functional.relu(sp_150, inplace=True) - sp_150 = None - sp_152 = sp_151 + getitem_50 - getitem_50 = None - sp_153 = torch.conv2d( - sp_152, - l_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_152 = ( - l_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_ - ) = None - sp_154 = torch.nn.functional.batch_norm( - sp_153, - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_153 = ( - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_ - ) = None - sp_155 = torch.nn.functional.relu(sp_154, inplace=True) - sp_154 = None - out_99 = torch.cat([sp_147, sp_151, sp_155, getitem_51], 1) - sp_147 = sp_151 = sp_155 = getitem_51 = None - out_100 = torch.conv2d( - out_99, - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_99 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None - out_101 = torch.nn.functional.batch_norm( - out_100, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_100 = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None - out_101 += out_95 - out_102 = out_101 - out_101 = out_95 = None - out_103 = torch.nn.functional.relu(out_102, inplace=True) - out_102 = None - out_104 = torch.conv2d( - out_103, - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = None - out_105 = torch.nn.functional.batch_norm( - out_104, - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_104 = ( - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = None - out_106 = torch.nn.functional.relu(out_105, inplace=True) - out_105 = None - split_13 = torch.functional.split(out_106, 104, 1) - out_106 = None - sp_156 = split_13[0] - getitem_53 = split_13[1] - getitem_54 = split_13[2] - getitem_55 = split_13[3] - split_13 = None - sp_157 = torch.conv2d( - sp_156, - l_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_156 = ( - l_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_ - ) = None - sp_158 = torch.nn.functional.batch_norm( - sp_157, - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_157 = ( - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_ - ) = None - sp_159 = torch.nn.functional.relu(sp_158, inplace=True) - sp_158 = None - sp_160 = sp_159 + getitem_53 - getitem_53 = None - sp_161 = torch.conv2d( - sp_160, - l_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_160 = ( - l_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_ - ) = None - sp_162 = torch.nn.functional.batch_norm( - sp_161, - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_161 = ( - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_ - ) = None - sp_163 = torch.nn.functional.relu(sp_162, inplace=True) - sp_162 = None - sp_164 = sp_163 + getitem_54 - getitem_54 = None - sp_165 = torch.conv2d( - sp_164, - l_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_164 = ( - l_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_ - ) = None - sp_166 = torch.nn.functional.batch_norm( - sp_165, - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_165 = ( - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_ - ) = None - sp_167 = torch.nn.functional.relu(sp_166, inplace=True) - sp_166 = None - out_107 = torch.cat([sp_159, sp_163, sp_167, getitem_55], 1) - sp_159 = sp_163 = sp_167 = getitem_55 = None - out_108 = torch.conv2d( - out_107, - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_107 = ( - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ - ) = None - out_109 = torch.nn.functional.batch_norm( - out_108, - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_108 = ( - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = None - out_109 += out_103 - out_110 = out_109 - out_109 = out_103 = None - out_111 = torch.nn.functional.relu(out_110, inplace=True) - out_110 = None - out_112 = torch.conv2d( - out_111, - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = None - out_113 = torch.nn.functional.batch_norm( - out_112, - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_112 = ( - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = None - out_114 = torch.nn.functional.relu(out_113, inplace=True) - out_113 = None - split_14 = torch.functional.split(out_114, 104, 1) - out_114 = None - sp_168 = split_14[0] - getitem_57 = split_14[1] - getitem_58 = split_14[2] - getitem_59 = split_14[3] - split_14 = None - sp_169 = torch.conv2d( - sp_168, - l_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_168 = ( - l_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_ - ) = None - sp_170 = torch.nn.functional.batch_norm( - sp_169, - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_169 = ( - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_ - ) = None - sp_171 = torch.nn.functional.relu(sp_170, inplace=True) - sp_170 = None - sp_172 = sp_171 + getitem_57 - getitem_57 = None - sp_173 = torch.conv2d( - sp_172, - l_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_172 = ( - l_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_ - ) = None - sp_174 = torch.nn.functional.batch_norm( - sp_173, - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_173 = ( - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_ - ) = None - sp_175 = torch.nn.functional.relu(sp_174, inplace=True) - sp_174 = None - sp_176 = sp_175 + getitem_58 - getitem_58 = None - sp_177 = torch.conv2d( - sp_176, - l_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_176 = ( - l_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_ - ) = None - sp_178 = torch.nn.functional.batch_norm( - sp_177, - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_177 = ( - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_ - ) = None - sp_179 = torch.nn.functional.relu(sp_178, inplace=True) - sp_178 = None - out_115 = torch.cat([sp_171, sp_175, sp_179, getitem_59], 1) - sp_171 = sp_175 = sp_179 = getitem_59 = None - out_116 = torch.conv2d( - out_115, - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_115 = ( - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ - ) = None - out_117 = torch.nn.functional.batch_norm( - out_116, - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_116 = ( - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = None - out_117 += out_111 - out_118 = out_117 - out_117 = out_111 = None - out_119 = torch.nn.functional.relu(out_118, inplace=True) - out_118 = None - out_120 = torch.conv2d( - out_119, - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = None - out_121 = torch.nn.functional.batch_norm( - out_120, - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_120 = ( - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = None - out_122 = torch.nn.functional.relu(out_121, inplace=True) - out_121 = None - split_15 = torch.functional.split(out_122, 104, 1) - out_122 = None - sp_180 = split_15[0] - getitem_61 = split_15[1] - getitem_62 = split_15[2] - getitem_63 = split_15[3] - split_15 = None - sp_181 = torch.conv2d( - sp_180, - l_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_180 = ( - l_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_ - ) = None - sp_182 = torch.nn.functional.batch_norm( - sp_181, - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_181 = ( - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_ - ) = None - sp_183 = torch.nn.functional.relu(sp_182, inplace=True) - sp_182 = None - sp_184 = sp_183 + getitem_61 - getitem_61 = None - sp_185 = torch.conv2d( - sp_184, - l_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_184 = ( - l_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_ - ) = None - sp_186 = torch.nn.functional.batch_norm( - sp_185, - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_185 = ( - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_ - ) = None - sp_187 = torch.nn.functional.relu(sp_186, inplace=True) - sp_186 = None - sp_188 = sp_187 + getitem_62 - getitem_62 = None - sp_189 = torch.conv2d( - sp_188, - l_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_188 = ( - l_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_ - ) = None - sp_190 = torch.nn.functional.batch_norm( - sp_189, - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_189 = ( - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_ - ) = None - sp_191 = torch.nn.functional.relu(sp_190, inplace=True) - sp_190 = None - out_123 = torch.cat([sp_183, sp_187, sp_191, getitem_63], 1) - sp_183 = sp_187 = sp_191 = getitem_63 = None - out_124 = torch.conv2d( - out_123, - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_123 = ( - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ - ) = None - out_125 = torch.nn.functional.batch_norm( - out_124, - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_124 = ( - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = None - out_125 += out_119 - out_126 = out_125 - out_125 = out_119 = None - out_127 = torch.nn.functional.relu(out_126, inplace=True) - out_126 = None - out_128 = torch.conv2d( - out_127, - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = None - out_129 = torch.nn.functional.batch_norm( - out_128, - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_128 = ( - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = None - out_130 = torch.nn.functional.relu(out_129, inplace=True) - out_129 = None - split_16 = torch.functional.split(out_130, 104, 1) - out_130 = None - sp_192 = split_16[0] - getitem_65 = split_16[1] - getitem_66 = split_16[2] - getitem_67 = split_16[3] - split_16 = None - sp_193 = torch.conv2d( - sp_192, - l_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_192 = ( - l_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_ - ) = None - sp_194 = torch.nn.functional.batch_norm( - sp_193, - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_193 = ( - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_ - ) = None - sp_195 = torch.nn.functional.relu(sp_194, inplace=True) - sp_194 = None - sp_196 = sp_195 + getitem_65 - getitem_65 = None - sp_197 = torch.conv2d( - sp_196, - l_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_196 = ( - l_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_ - ) = None - sp_198 = torch.nn.functional.batch_norm( - sp_197, - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_197 = ( - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_ - ) = None - sp_199 = torch.nn.functional.relu(sp_198, inplace=True) - sp_198 = None - sp_200 = sp_199 + getitem_66 - getitem_66 = None - sp_201 = torch.conv2d( - sp_200, - l_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_200 = ( - l_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_ - ) = None - sp_202 = torch.nn.functional.batch_norm( - sp_201, - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_201 = ( - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_ - ) = None - sp_203 = torch.nn.functional.relu(sp_202, inplace=True) - sp_202 = None - out_131 = torch.cat([sp_195, sp_199, sp_203, getitem_67], 1) - sp_195 = sp_199 = sp_203 = getitem_67 = None - out_132 = torch.conv2d( - out_131, - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_131 = ( - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ - ) = None - out_133 = torch.nn.functional.batch_norm( - out_132, - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_132 = ( - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = None - out_133 += out_127 - out_134 = out_133 - out_133 = out_127 = None - out_135 = torch.nn.functional.relu(out_134, inplace=True) - out_134 = None - out_136 = torch.conv2d( - out_135, - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = None - out_137 = torch.nn.functional.batch_norm( - out_136, - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_136 = ( - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = None - out_138 = torch.nn.functional.relu(out_137, inplace=True) - out_137 = None - split_17 = torch.functional.split(out_138, 104, 1) - out_138 = None - sp_204 = split_17[0] - getitem_69 = split_17[1] - getitem_70 = split_17[2] - getitem_71 = split_17[3] - split_17 = None - sp_205 = torch.conv2d( - sp_204, - l_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_204 = ( - l_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_ - ) = None - sp_206 = torch.nn.functional.batch_norm( - sp_205, - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_205 = ( - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_ - ) = None - sp_207 = torch.nn.functional.relu(sp_206, inplace=True) - sp_206 = None - sp_208 = sp_207 + getitem_69 - getitem_69 = None - sp_209 = torch.conv2d( - sp_208, - l_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_208 = ( - l_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_ - ) = None - sp_210 = torch.nn.functional.batch_norm( - sp_209, - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_209 = ( - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_ - ) = None - sp_211 = torch.nn.functional.relu(sp_210, inplace=True) - sp_210 = None - sp_212 = sp_211 + getitem_70 - getitem_70 = None - sp_213 = torch.conv2d( - sp_212, - l_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_212 = ( - l_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_ - ) = None - sp_214 = torch.nn.functional.batch_norm( - sp_213, - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_213 = ( - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_ - ) = None - sp_215 = torch.nn.functional.relu(sp_214, inplace=True) - sp_214 = None - out_139 = torch.cat([sp_207, sp_211, sp_215, getitem_71], 1) - sp_207 = sp_211 = sp_215 = getitem_71 = None - out_140 = torch.conv2d( - out_139, - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_139 = ( - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ - ) = None - out_141 = torch.nn.functional.batch_norm( - out_140, - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_140 = ( - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = None - out_141 += out_135 - out_142 = out_141 - out_141 = out_135 = None - out_143 = torch.nn.functional.relu(out_142, inplace=True) - out_142 = None - out_144 = torch.conv2d( - out_143, - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = None - out_145 = torch.nn.functional.batch_norm( - out_144, - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_144 = ( - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = None - out_146 = torch.nn.functional.relu(out_145, inplace=True) - out_145 = None - split_18 = torch.functional.split(out_146, 104, 1) - out_146 = None - sp_216 = split_18[0] - getitem_73 = split_18[1] - getitem_74 = split_18[2] - getitem_75 = split_18[3] - split_18 = None - sp_217 = torch.conv2d( - sp_216, - l_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_216 = ( - l_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_ - ) = None - sp_218 = torch.nn.functional.batch_norm( - sp_217, - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_217 = ( - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_ - ) = None - sp_219 = torch.nn.functional.relu(sp_218, inplace=True) - sp_218 = None - sp_220 = sp_219 + getitem_73 - getitem_73 = None - sp_221 = torch.conv2d( - sp_220, - l_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_220 = ( - l_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_ - ) = None - sp_222 = torch.nn.functional.batch_norm( - sp_221, - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_221 = ( - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_ - ) = None - sp_223 = torch.nn.functional.relu(sp_222, inplace=True) - sp_222 = None - sp_224 = sp_223 + getitem_74 - getitem_74 = None - sp_225 = torch.conv2d( - sp_224, - l_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_224 = ( - l_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_ - ) = None - sp_226 = torch.nn.functional.batch_norm( - sp_225, - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_225 = ( - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_ - ) = None - sp_227 = torch.nn.functional.relu(sp_226, inplace=True) - sp_226 = None - out_147 = torch.cat([sp_219, sp_223, sp_227, getitem_75], 1) - sp_219 = sp_223 = sp_227 = getitem_75 = None - out_148 = torch.conv2d( - out_147, - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_147 = ( - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ - ) = None - out_149 = torch.nn.functional.batch_norm( - out_148, - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_148 = ( - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = None - out_149 += out_143 - out_150 = out_149 - out_149 = out_143 = None - out_151 = torch.nn.functional.relu(out_150, inplace=True) - out_150 = None - out_152 = torch.conv2d( - out_151, - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = None - out_153 = torch.nn.functional.batch_norm( - out_152, - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_152 = ( - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = None - out_154 = torch.nn.functional.relu(out_153, inplace=True) - out_153 = None - split_19 = torch.functional.split(out_154, 104, 1) - out_154 = None - sp_228 = split_19[0] - getitem_77 = split_19[1] - getitem_78 = split_19[2] - getitem_79 = split_19[3] - split_19 = None - sp_229 = torch.conv2d( - sp_228, - l_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_228 = ( - l_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_ - ) = None - sp_230 = torch.nn.functional.batch_norm( - sp_229, - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_229 = ( - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_ - ) = None - sp_231 = torch.nn.functional.relu(sp_230, inplace=True) - sp_230 = None - sp_232 = sp_231 + getitem_77 - getitem_77 = None - sp_233 = torch.conv2d( - sp_232, - l_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_232 = ( - l_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_ - ) = None - sp_234 = torch.nn.functional.batch_norm( - sp_233, - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_233 = ( - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_ - ) = None - sp_235 = torch.nn.functional.relu(sp_234, inplace=True) - sp_234 = None - sp_236 = sp_235 + getitem_78 - getitem_78 = None - sp_237 = torch.conv2d( - sp_236, - l_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_236 = ( - l_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_ - ) = None - sp_238 = torch.nn.functional.batch_norm( - sp_237, - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_237 = ( - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_ - ) = None - sp_239 = torch.nn.functional.relu(sp_238, inplace=True) - sp_238 = None - out_155 = torch.cat([sp_231, sp_235, sp_239, getitem_79], 1) - sp_231 = sp_235 = sp_239 = getitem_79 = None - out_156 = torch.conv2d( - out_155, - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_155 = ( - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ - ) = None - out_157 = torch.nn.functional.batch_norm( - out_156, - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_156 = ( - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = None - out_157 += out_151 - out_158 = out_157 - out_157 = out_151 = None - out_159 = torch.nn.functional.relu(out_158, inplace=True) - out_158 = None - out_160 = torch.conv2d( - out_159, - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = None - out_161 = torch.nn.functional.batch_norm( - out_160, - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_160 = ( - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = None - out_162 = torch.nn.functional.relu(out_161, inplace=True) - out_161 = None - split_20 = torch.functional.split(out_162, 104, 1) - out_162 = None - sp_240 = split_20[0] - getitem_81 = split_20[1] - getitem_82 = split_20[2] - getitem_83 = split_20[3] - split_20 = None - sp_241 = torch.conv2d( - sp_240, - l_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_240 = ( - l_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_ - ) = None - sp_242 = torch.nn.functional.batch_norm( - sp_241, - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_241 = ( - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_ - ) = None - sp_243 = torch.nn.functional.relu(sp_242, inplace=True) - sp_242 = None - sp_244 = sp_243 + getitem_81 - getitem_81 = None - sp_245 = torch.conv2d( - sp_244, - l_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_244 = ( - l_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_ - ) = None - sp_246 = torch.nn.functional.batch_norm( - sp_245, - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_245 = ( - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_ - ) = None - sp_247 = torch.nn.functional.relu(sp_246, inplace=True) - sp_246 = None - sp_248 = sp_247 + getitem_82 - getitem_82 = None - sp_249 = torch.conv2d( - sp_248, - l_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_248 = ( - l_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_ - ) = None - sp_250 = torch.nn.functional.batch_norm( - sp_249, - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_249 = ( - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_ - ) = None - sp_251 = torch.nn.functional.relu(sp_250, inplace=True) - sp_250 = None - out_163 = torch.cat([sp_243, sp_247, sp_251, getitem_83], 1) - sp_243 = sp_247 = sp_251 = getitem_83 = None - out_164 = torch.conv2d( - out_163, - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_163 = ( - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ - ) = None - out_165 = torch.nn.functional.batch_norm( - out_164, - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_164 = ( - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = None - out_165 += out_159 - out_166 = out_165 - out_165 = out_159 = None - out_167 = torch.nn.functional.relu(out_166, inplace=True) - out_166 = None - out_168 = torch.conv2d( - out_167, - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = None - out_169 = torch.nn.functional.batch_norm( - out_168, - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_168 = ( - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = None - out_170 = torch.nn.functional.relu(out_169, inplace=True) - out_169 = None - split_21 = torch.functional.split(out_170, 104, 1) - out_170 = None - sp_252 = split_21[0] - getitem_85 = split_21[1] - getitem_86 = split_21[2] - getitem_87 = split_21[3] - split_21 = None - sp_253 = torch.conv2d( - sp_252, - l_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_252 = ( - l_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_ - ) = None - sp_254 = torch.nn.functional.batch_norm( - sp_253, - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_253 = ( - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_ - ) = None - sp_255 = torch.nn.functional.relu(sp_254, inplace=True) - sp_254 = None - sp_256 = sp_255 + getitem_85 - getitem_85 = None - sp_257 = torch.conv2d( - sp_256, - l_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_256 = ( - l_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_ - ) = None - sp_258 = torch.nn.functional.batch_norm( - sp_257, - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_257 = ( - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_ - ) = None - sp_259 = torch.nn.functional.relu(sp_258, inplace=True) - sp_258 = None - sp_260 = sp_259 + getitem_86 - getitem_86 = None - sp_261 = torch.conv2d( - sp_260, - l_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_260 = ( - l_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_ - ) = None - sp_262 = torch.nn.functional.batch_norm( - sp_261, - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_261 = ( - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_ - ) = None - sp_263 = torch.nn.functional.relu(sp_262, inplace=True) - sp_262 = None - out_171 = torch.cat([sp_255, sp_259, sp_263, getitem_87], 1) - sp_255 = sp_259 = sp_263 = getitem_87 = None - out_172 = torch.conv2d( - out_171, - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_171 = ( - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ - ) = None - out_173 = torch.nn.functional.batch_norm( - out_172, - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_172 = ( - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = None - out_173 += out_167 - out_174 = out_173 - out_173 = out_167 = None - out_175 = torch.nn.functional.relu(out_174, inplace=True) - out_174 = None - out_176 = torch.conv2d( - out_175, - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = None - out_177 = torch.nn.functional.batch_norm( - out_176, - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_176 = ( - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = None - out_178 = torch.nn.functional.relu(out_177, inplace=True) - out_177 = None - split_22 = torch.functional.split(out_178, 104, 1) - out_178 = None - sp_264 = split_22[0] - getitem_89 = split_22[1] - getitem_90 = split_22[2] - getitem_91 = split_22[3] - split_22 = None - sp_265 = torch.conv2d( - sp_264, - l_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_264 = ( - l_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_ - ) = None - sp_266 = torch.nn.functional.batch_norm( - sp_265, - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_265 = ( - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_ - ) = None - sp_267 = torch.nn.functional.relu(sp_266, inplace=True) - sp_266 = None - sp_268 = sp_267 + getitem_89 - getitem_89 = None - sp_269 = torch.conv2d( - sp_268, - l_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_268 = ( - l_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_ - ) = None - sp_270 = torch.nn.functional.batch_norm( - sp_269, - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_269 = ( - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_ - ) = None - sp_271 = torch.nn.functional.relu(sp_270, inplace=True) - sp_270 = None - sp_272 = sp_271 + getitem_90 - getitem_90 = None - sp_273 = torch.conv2d( - sp_272, - l_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_272 = ( - l_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_ - ) = None - sp_274 = torch.nn.functional.batch_norm( - sp_273, - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_273 = ( - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_ - ) = None - sp_275 = torch.nn.functional.relu(sp_274, inplace=True) - sp_274 = None - out_179 = torch.cat([sp_267, sp_271, sp_275, getitem_91], 1) - sp_267 = sp_271 = sp_275 = getitem_91 = None - out_180 = torch.conv2d( - out_179, - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_179 = ( - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ - ) = None - out_181 = torch.nn.functional.batch_norm( - out_180, - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_180 = ( - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = None - out_181 += out_175 - out_182 = out_181 - out_181 = out_175 = None - out_183 = torch.nn.functional.relu(out_182, inplace=True) - out_182 = None - out_184 = torch.conv2d( - out_183, - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = None - out_185 = torch.nn.functional.batch_norm( - out_184, - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_184 = ( - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = None - out_186 = torch.nn.functional.relu(out_185, inplace=True) - out_185 = None - split_23 = torch.functional.split(out_186, 104, 1) - out_186 = None - sp_276 = split_23[0] - getitem_93 = split_23[1] - getitem_94 = split_23[2] - getitem_95 = split_23[3] - split_23 = None - sp_277 = torch.conv2d( - sp_276, - l_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_276 = ( - l_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_ - ) = None - sp_278 = torch.nn.functional.batch_norm( - sp_277, - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_277 = ( - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_ - ) = None - sp_279 = torch.nn.functional.relu(sp_278, inplace=True) - sp_278 = None - sp_280 = sp_279 + getitem_93 - getitem_93 = None - sp_281 = torch.conv2d( - sp_280, - l_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_280 = ( - l_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_ - ) = None - sp_282 = torch.nn.functional.batch_norm( - sp_281, - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_281 = ( - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_ - ) = None - sp_283 = torch.nn.functional.relu(sp_282, inplace=True) - sp_282 = None - sp_284 = sp_283 + getitem_94 - getitem_94 = None - sp_285 = torch.conv2d( - sp_284, - l_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_284 = ( - l_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_ - ) = None - sp_286 = torch.nn.functional.batch_norm( - sp_285, - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_285 = ( - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_ - ) = None - sp_287 = torch.nn.functional.relu(sp_286, inplace=True) - sp_286 = None - out_187 = torch.cat([sp_279, sp_283, sp_287, getitem_95], 1) - sp_279 = sp_283 = sp_287 = getitem_95 = None - out_188 = torch.conv2d( - out_187, - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_187 = ( - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ - ) = None - out_189 = torch.nn.functional.batch_norm( - out_188, - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_188 = ( - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = None - out_189 += out_183 - out_190 = out_189 - out_189 = out_183 = None - out_191 = torch.nn.functional.relu(out_190, inplace=True) - out_190 = None - out_192 = torch.conv2d( - out_191, - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = None - out_193 = torch.nn.functional.batch_norm( - out_192, - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_192 = ( - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = None - out_194 = torch.nn.functional.relu(out_193, inplace=True) - out_193 = None - split_24 = torch.functional.split(out_194, 104, 1) - out_194 = None - sp_288 = split_24[0] - getitem_97 = split_24[1] - getitem_98 = split_24[2] - getitem_99 = split_24[3] - split_24 = None - sp_289 = torch.conv2d( - sp_288, - l_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_288 = ( - l_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_ - ) = None - sp_290 = torch.nn.functional.batch_norm( - sp_289, - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_289 = ( - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_ - ) = None - sp_291 = torch.nn.functional.relu(sp_290, inplace=True) - sp_290 = None - sp_292 = sp_291 + getitem_97 - getitem_97 = None - sp_293 = torch.conv2d( - sp_292, - l_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_292 = ( - l_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_ - ) = None - sp_294 = torch.nn.functional.batch_norm( - sp_293, - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_293 = ( - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_ - ) = None - sp_295 = torch.nn.functional.relu(sp_294, inplace=True) - sp_294 = None - sp_296 = sp_295 + getitem_98 - getitem_98 = None - sp_297 = torch.conv2d( - sp_296, - l_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_296 = ( - l_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_ - ) = None - sp_298 = torch.nn.functional.batch_norm( - sp_297, - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_297 = ( - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_ - ) = None - sp_299 = torch.nn.functional.relu(sp_298, inplace=True) - sp_298 = None - out_195 = torch.cat([sp_291, sp_295, sp_299, getitem_99], 1) - sp_291 = sp_295 = sp_299 = getitem_99 = None - out_196 = torch.conv2d( - out_195, - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_195 = ( - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ - ) = None - out_197 = torch.nn.functional.batch_norm( - out_196, - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_196 = ( - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = None - out_197 += out_191 - out_198 = out_197 - out_197 = out_191 = None - out_199 = torch.nn.functional.relu(out_198, inplace=True) - out_198 = None - out_200 = torch.conv2d( - out_199, - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = None - out_201 = torch.nn.functional.batch_norm( - out_200, - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_200 = ( - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = None - out_202 = torch.nn.functional.relu(out_201, inplace=True) - out_201 = None - split_25 = torch.functional.split(out_202, 104, 1) - out_202 = None - sp_300 = split_25[0] - getitem_101 = split_25[1] - getitem_102 = split_25[2] - getitem_103 = split_25[3] - split_25 = None - sp_301 = torch.conv2d( - sp_300, - l_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_300 = ( - l_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_ - ) = None - sp_302 = torch.nn.functional.batch_norm( - sp_301, - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_301 = ( - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_ - ) = None - sp_303 = torch.nn.functional.relu(sp_302, inplace=True) - sp_302 = None - sp_304 = sp_303 + getitem_101 - getitem_101 = None - sp_305 = torch.conv2d( - sp_304, - l_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_304 = ( - l_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_ - ) = None - sp_306 = torch.nn.functional.batch_norm( - sp_305, - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_305 = ( - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_ - ) = None - sp_307 = torch.nn.functional.relu(sp_306, inplace=True) - sp_306 = None - sp_308 = sp_307 + getitem_102 - getitem_102 = None - sp_309 = torch.conv2d( - sp_308, - l_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_308 = ( - l_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_ - ) = None - sp_310 = torch.nn.functional.batch_norm( - sp_309, - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_309 = ( - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_ - ) = None - sp_311 = torch.nn.functional.relu(sp_310, inplace=True) - sp_310 = None - out_203 = torch.cat([sp_303, sp_307, sp_311, getitem_103], 1) - sp_303 = sp_307 = sp_311 = getitem_103 = None - out_204 = torch.conv2d( - out_203, - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_203 = ( - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ - ) = None - out_205 = torch.nn.functional.batch_norm( - out_204, - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_204 = ( - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = None - out_205 += out_199 - out_206 = out_205 - out_205 = out_199 = None - out_207 = torch.nn.functional.relu(out_206, inplace=True) - out_206 = None - out_208 = torch.conv2d( - out_207, - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = None - out_209 = torch.nn.functional.batch_norm( - out_208, - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_208 = ( - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = None - out_210 = torch.nn.functional.relu(out_209, inplace=True) - out_209 = None - split_26 = torch.functional.split(out_210, 104, 1) - out_210 = None - sp_312 = split_26[0] - getitem_105 = split_26[1] - getitem_106 = split_26[2] - getitem_107 = split_26[3] - split_26 = None - sp_313 = torch.conv2d( - sp_312, - l_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_312 = ( - l_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_ - ) = None - sp_314 = torch.nn.functional.batch_norm( - sp_313, - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_313 = ( - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_ - ) = None - sp_315 = torch.nn.functional.relu(sp_314, inplace=True) - sp_314 = None - sp_316 = sp_315 + getitem_105 - getitem_105 = None - sp_317 = torch.conv2d( - sp_316, - l_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_316 = ( - l_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_ - ) = None - sp_318 = torch.nn.functional.batch_norm( - sp_317, - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_317 = ( - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_ - ) = None - sp_319 = torch.nn.functional.relu(sp_318, inplace=True) - sp_318 = None - sp_320 = sp_319 + getitem_106 - getitem_106 = None - sp_321 = torch.conv2d( - sp_320, - l_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_320 = ( - l_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_ - ) = None - sp_322 = torch.nn.functional.batch_norm( - sp_321, - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_321 = ( - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_ - ) = None - sp_323 = torch.nn.functional.relu(sp_322, inplace=True) - sp_322 = None - out_211 = torch.cat([sp_315, sp_319, sp_323, getitem_107], 1) - sp_315 = sp_319 = sp_323 = getitem_107 = None - out_212 = torch.conv2d( - out_211, - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_211 = ( - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ - ) = None - out_213 = torch.nn.functional.batch_norm( - out_212, - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_212 = ( - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = None - out_213 += out_207 - out_214 = out_213 - out_213 = out_207 = None - out_215 = torch.nn.functional.relu(out_214, inplace=True) - out_214 = None - out_216 = torch.conv2d( - out_215, - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = None - out_217 = torch.nn.functional.batch_norm( - out_216, - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_216 = ( - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = None - out_218 = torch.nn.functional.relu(out_217, inplace=True) - out_217 = None - split_27 = torch.functional.split(out_218, 104, 1) - out_218 = None - sp_324 = split_27[0] - getitem_109 = split_27[1] - getitem_110 = split_27[2] - getitem_111 = split_27[3] - split_27 = None - sp_325 = torch.conv2d( - sp_324, - l_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_324 = ( - l_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_ - ) = None - sp_326 = torch.nn.functional.batch_norm( - sp_325, - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_325 = ( - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_ - ) = None - sp_327 = torch.nn.functional.relu(sp_326, inplace=True) - sp_326 = None - sp_328 = sp_327 + getitem_109 - getitem_109 = None - sp_329 = torch.conv2d( - sp_328, - l_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_328 = ( - l_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_ - ) = None - sp_330 = torch.nn.functional.batch_norm( - sp_329, - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_329 = ( - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_ - ) = None - sp_331 = torch.nn.functional.relu(sp_330, inplace=True) - sp_330 = None - sp_332 = sp_331 + getitem_110 - getitem_110 = None - sp_333 = torch.conv2d( - sp_332, - l_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_332 = ( - l_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_ - ) = None - sp_334 = torch.nn.functional.batch_norm( - sp_333, - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_333 = ( - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_ - ) = None - sp_335 = torch.nn.functional.relu(sp_334, inplace=True) - sp_334 = None - out_219 = torch.cat([sp_327, sp_331, sp_335, getitem_111], 1) - sp_327 = sp_331 = sp_335 = getitem_111 = None - out_220 = torch.conv2d( - out_219, - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_219 = ( - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ - ) = None - out_221 = torch.nn.functional.batch_norm( - out_220, - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_220 = ( - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = None - out_221 += out_215 - out_222 = out_221 - out_221 = out_215 = None - out_223 = torch.nn.functional.relu(out_222, inplace=True) - out_222 = None - out_224 = torch.conv2d( - out_223, - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = None - out_225 = torch.nn.functional.batch_norm( - out_224, - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_224 = ( - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = None - out_226 = torch.nn.functional.relu(out_225, inplace=True) - out_225 = None - split_28 = torch.functional.split(out_226, 104, 1) - out_226 = None - sp_336 = split_28[0] - getitem_113 = split_28[1] - getitem_114 = split_28[2] - getitem_115 = split_28[3] - split_28 = None - sp_337 = torch.conv2d( - sp_336, - l_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_336 = ( - l_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_ - ) = None - sp_338 = torch.nn.functional.batch_norm( - sp_337, - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_337 = ( - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_ - ) = None - sp_339 = torch.nn.functional.relu(sp_338, inplace=True) - sp_338 = None - sp_340 = sp_339 + getitem_113 - getitem_113 = None - sp_341 = torch.conv2d( - sp_340, - l_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_340 = ( - l_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_ - ) = None - sp_342 = torch.nn.functional.batch_norm( - sp_341, - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_341 = ( - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_ - ) = None - sp_343 = torch.nn.functional.relu(sp_342, inplace=True) - sp_342 = None - sp_344 = sp_343 + getitem_114 - getitem_114 = None - sp_345 = torch.conv2d( - sp_344, - l_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_344 = ( - l_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_ - ) = None - sp_346 = torch.nn.functional.batch_norm( - sp_345, - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_345 = ( - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_ - ) = None - sp_347 = torch.nn.functional.relu(sp_346, inplace=True) - sp_346 = None - out_227 = torch.cat([sp_339, sp_343, sp_347, getitem_115], 1) - sp_339 = sp_343 = sp_347 = getitem_115 = None - out_228 = torch.conv2d( - out_227, - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_227 = ( - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ - ) = None - out_229 = torch.nn.functional.batch_norm( - out_228, - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_228 = ( - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = None - out_229 += out_223 - out_230 = out_229 - out_229 = out_223 = None - out_231 = torch.nn.functional.relu(out_230, inplace=True) - out_230 = None - out_232 = torch.conv2d( - out_231, - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = None - out_233 = torch.nn.functional.batch_norm( - out_232, - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_232 = ( - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = None - out_234 = torch.nn.functional.relu(out_233, inplace=True) - out_233 = None - split_29 = torch.functional.split(out_234, 104, 1) - out_234 = None - sp_348 = split_29[0] - getitem_117 = split_29[1] - getitem_118 = split_29[2] - getitem_119 = split_29[3] - split_29 = None - sp_349 = torch.conv2d( - sp_348, - l_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_348 = ( - l_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_ - ) = None - sp_350 = torch.nn.functional.batch_norm( - sp_349, - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_349 = ( - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_ - ) = None - sp_351 = torch.nn.functional.relu(sp_350, inplace=True) - sp_350 = None - sp_352 = sp_351 + getitem_117 - getitem_117 = None - sp_353 = torch.conv2d( - sp_352, - l_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_352 = ( - l_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_ - ) = None - sp_354 = torch.nn.functional.batch_norm( - sp_353, - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_353 = ( - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_ - ) = None - sp_355 = torch.nn.functional.relu(sp_354, inplace=True) - sp_354 = None - sp_356 = sp_355 + getitem_118 - getitem_118 = None - sp_357 = torch.conv2d( - sp_356, - l_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_356 = ( - l_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_ - ) = None - sp_358 = torch.nn.functional.batch_norm( - sp_357, - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_357 = ( - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_ - ) = None - sp_359 = torch.nn.functional.relu(sp_358, inplace=True) - sp_358 = None - out_235 = torch.cat([sp_351, sp_355, sp_359, getitem_119], 1) - sp_351 = sp_355 = sp_359 = getitem_119 = None - out_236 = torch.conv2d( - out_235, - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_235 = ( - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ - ) = None - out_237 = torch.nn.functional.batch_norm( - out_236, - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_236 = ( - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = None - out_237 += out_231 - out_238 = out_237 - out_237 = out_231 = None - out_239 = torch.nn.functional.relu(out_238, inplace=True) - out_238 = None - out_240 = torch.conv2d( - out_239, - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None - out_241 = torch.nn.functional.batch_norm( - out_240, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_240 = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None - out_242 = torch.nn.functional.relu(out_241, inplace=True) - out_241 = None - split_30 = torch.functional.split(out_242, 208, 1) - out_242 = None - sp_360 = split_30[0] - sp_364 = split_30[1] - sp_368 = split_30[2] - getitem_123 = split_30[3] - split_30 = None - sp_361 = torch.conv2d( - sp_360, - l_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_360 = ( - l_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_ - ) = None - sp_362 = torch.nn.functional.batch_norm( - sp_361, - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_361 = ( - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_ - ) = None - sp_363 = torch.nn.functional.relu(sp_362, inplace=True) - sp_362 = None - sp_365 = torch.conv2d( - sp_364, - l_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_364 = ( - l_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_ - ) = None - sp_366 = torch.nn.functional.batch_norm( - sp_365, - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_365 = ( - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_ - ) = None - sp_367 = torch.nn.functional.relu(sp_366, inplace=True) - sp_366 = None - sp_369 = torch.conv2d( - sp_368, - l_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_368 = ( - l_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_ - ) = None - sp_370 = torch.nn.functional.batch_norm( - sp_369, - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_369 = ( - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_ - ) = None - sp_371 = torch.nn.functional.relu(sp_370, inplace=True) - sp_370 = None - avg_pool2d_3 = torch._C._nn.avg_pool2d(getitem_123, 3, 2, 1, False, True, None) - getitem_123 = None - out_243 = torch.cat([sp_363, sp_367, sp_371, avg_pool2d_3], 1) - sp_363 = sp_367 = sp_371 = avg_pool2d_3 = None - out_244 = torch.conv2d( - out_243, - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_243 = ( - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) = None - out_245 = torch.nn.functional.batch_norm( - out_244, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_244 = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None - input_7 = torch.conv2d( - out_239, - l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - out_239 = l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_8 = torch.nn.functional.batch_norm( - input_7, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_7 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_245 += input_8 - out_246 = out_245 - out_245 = input_8 = None - out_247 = torch.nn.functional.relu(out_246, inplace=True) - out_246 = None - out_248 = torch.conv2d( - out_247, - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None - out_249 = torch.nn.functional.batch_norm( - out_248, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_248 = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None - out_250 = torch.nn.functional.relu(out_249, inplace=True) - out_249 = None - split_31 = torch.functional.split(out_250, 208, 1) - out_250 = None - sp_372 = split_31[0] - getitem_125 = split_31[1] - getitem_126 = split_31[2] - getitem_127 = split_31[3] - split_31 = None - sp_373 = torch.conv2d( - sp_372, - l_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_372 = ( - l_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_ - ) = None - sp_374 = torch.nn.functional.batch_norm( - sp_373, - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_373 = ( - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_ - ) = None - sp_375 = torch.nn.functional.relu(sp_374, inplace=True) - sp_374 = None - sp_376 = sp_375 + getitem_125 - getitem_125 = None - sp_377 = torch.conv2d( - sp_376, - l_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_376 = ( - l_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_ - ) = None - sp_378 = torch.nn.functional.batch_norm( - sp_377, - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_377 = ( - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_ - ) = None - sp_379 = torch.nn.functional.relu(sp_378, inplace=True) - sp_378 = None - sp_380 = sp_379 + getitem_126 - getitem_126 = None - sp_381 = torch.conv2d( - sp_380, - l_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_380 = ( - l_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_ - ) = None - sp_382 = torch.nn.functional.batch_norm( - sp_381, - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_381 = ( - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_ - ) = None - sp_383 = torch.nn.functional.relu(sp_382, inplace=True) - sp_382 = None - out_251 = torch.cat([sp_375, sp_379, sp_383, getitem_127], 1) - sp_375 = sp_379 = sp_383 = getitem_127 = None - out_252 = torch.conv2d( - out_251, - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_251 = ( - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) = None - out_253 = torch.nn.functional.batch_norm( - out_252, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_252 = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None - out_253 += out_247 - out_254 = out_253 - out_253 = out_247 = None - out_255 = torch.nn.functional.relu(out_254, inplace=True) - out_254 = None - out_256 = torch.conv2d( - out_255, - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None - out_257 = torch.nn.functional.batch_norm( - out_256, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_256 = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None - out_258 = torch.nn.functional.relu(out_257, inplace=True) - out_257 = None - split_32 = torch.functional.split(out_258, 208, 1) - out_258 = None - sp_384 = split_32[0] - getitem_129 = split_32[1] - getitem_130 = split_32[2] - getitem_131 = split_32[3] - split_32 = None - sp_385 = torch.conv2d( - sp_384, - l_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_384 = ( - l_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_ - ) = None - sp_386 = torch.nn.functional.batch_norm( - sp_385, - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_385 = ( - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_ - ) = None - sp_387 = torch.nn.functional.relu(sp_386, inplace=True) - sp_386 = None - sp_388 = sp_387 + getitem_129 - getitem_129 = None - sp_389 = torch.conv2d( - sp_388, - l_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_388 = ( - l_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_ - ) = None - sp_390 = torch.nn.functional.batch_norm( - sp_389, - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_389 = ( - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_ - ) = None - sp_391 = torch.nn.functional.relu(sp_390, inplace=True) - sp_390 = None - sp_392 = sp_391 + getitem_130 - getitem_130 = None - sp_393 = torch.conv2d( - sp_392, - l_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_392 = ( - l_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_ - ) = None - sp_394 = torch.nn.functional.batch_norm( - sp_393, - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_393 = ( - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_ - ) = None - sp_395 = torch.nn.functional.relu(sp_394, inplace=True) - sp_394 = None - out_259 = torch.cat([sp_387, sp_391, sp_395, getitem_131], 1) - sp_387 = sp_391 = sp_395 = getitem_131 = None - out_260 = torch.conv2d( - out_259, - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_259 = ( - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) = None - out_261 = torch.nn.functional.batch_norm( - out_260, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_260 = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None - out_261 += out_255 - out_262 = out_261 - out_261 = out_255 = None - out_263 = torch.nn.functional.relu(out_262, inplace=True) - out_262 = None - x_4 = torch.nn.functional.adaptive_avg_pool2d(out_263, 1) - out_263 = None - x_5 = x_4.flatten(1, -1) - x_4 = None - x_6 = torch._C._nn.linear( - x_5, - l_self_modules_fc_parameters_weight_, - l_self_modules_fc_parameters_bias_, - ) - x_5 = ( - l_self_modules_fc_parameters_weight_ - ) = l_self_modules_fc_parameters_bias_ = None - return (x_6,) diff --git a/samples/timm/res2net101_26w_4s.in1k/weight_meta.py b/samples/timm/res2net101_26w_4s.in1k/weight_meta.py deleted file mode 100644 index bcdadc1da..000000000 --- a/samples/timm/res2net101_26w_4s.in1k/weight_meta.py +++ /dev/null @@ -1,8624 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_conv1_parameters_weight_: - name = "L_self_modules_conv1_parameters_weight_" - shape = [64, 3, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.226 - std = 1.285 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_: - name = "L_self_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_: - name = "L_self_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_: - name = "L_self_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_: - name = "L_self_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_" - shape = [104, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.139 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.091 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.093 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.091 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_" - shape = [256, 104, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [256, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_" - shape = [104, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.139 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.093 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.002 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_" - shape = [256, 104, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_" - shape = [104, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.138 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.093 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_" - shape = [256, 104, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_" - shape = [208, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.097 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.064 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.066 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_" - shape = [512, 208, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_" - shape = [208, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.098 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.066 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_" - shape = [512, 208, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_" - shape = [208, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.097 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_" - shape = [512, 208, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_" - shape = [208, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.098 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.066 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.066 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_" - shape = [512, 208, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_" - shape = [416, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.047 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.070 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_" - shape = [832, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_" - shape = [2048, 832, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_" - shape = [832, 2048, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_" - shape = [2048, 832, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_" - shape = [832, 2048, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_" - shape = [2048, 832, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [1000, 2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: - name = "L_self_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.013 - data = None diff --git a/samples/timm/res2net101d.in1k/graph_hash.txt b/samples/timm/res2net101d.in1k/graph_hash.txt deleted file mode 100644 index 7d6f01502..000000000 --- a/samples/timm/res2net101d.in1k/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -5049868d785f1dcbd6a262f55adddc1ea46b6f5b7ee67f3d7a515f3c7ad7076a \ No newline at end of file diff --git a/samples/timm/res2net101d.in1k/graph_net.json b/samples/timm/res2net101d.in1k/graph_net.json deleted file mode 100644 index 5a6dada2f..000000000 --- a/samples/timm/res2net101d.in1k/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "timm", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/timm/res2net101d.in1k/input_meta.py b/samples/timm/res2net101d.in1k/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/res2net101d.in1k/input_tensor_constraints.py b/samples/timm/res2net101d.in1k/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/res2net101d.in1k/model.py b/samples/timm/res2net101d.in1k/model.py deleted file mode 100644 index 23280e12d..000000000 --- a/samples/timm/res2net101d.in1k/model.py +++ /dev/null @@ -1,9345 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_4_buffers_running_mean_: torch.Tensor, - L_self_modules_conv1_modules_4_buffers_running_var_: torch.Tensor, - L_self_modules_conv1_modules_4_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_4_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_conv1_modules_6_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_conv1_modules_0_parameters_weight_ = ( - L_self_modules_conv1_modules_0_parameters_weight_ - ) - l_x_ = L_x_ - l_self_modules_conv1_modules_1_buffers_running_mean_ = ( - L_self_modules_conv1_modules_1_buffers_running_mean_ - ) - l_self_modules_conv1_modules_1_buffers_running_var_ = ( - L_self_modules_conv1_modules_1_buffers_running_var_ - ) - l_self_modules_conv1_modules_1_parameters_weight_ = ( - L_self_modules_conv1_modules_1_parameters_weight_ - ) - l_self_modules_conv1_modules_1_parameters_bias_ = ( - L_self_modules_conv1_modules_1_parameters_bias_ - ) - l_self_modules_conv1_modules_3_parameters_weight_ = ( - L_self_modules_conv1_modules_3_parameters_weight_ - ) - l_self_modules_conv1_modules_4_buffers_running_mean_ = ( - L_self_modules_conv1_modules_4_buffers_running_mean_ - ) - l_self_modules_conv1_modules_4_buffers_running_var_ = ( - L_self_modules_conv1_modules_4_buffers_running_var_ - ) - l_self_modules_conv1_modules_4_parameters_weight_ = ( - L_self_modules_conv1_modules_4_parameters_weight_ - ) - l_self_modules_conv1_modules_4_parameters_bias_ = ( - L_self_modules_conv1_modules_4_parameters_bias_ - ) - l_self_modules_conv1_modules_6_parameters_weight_ = ( - L_self_modules_conv1_modules_6_parameters_weight_ - ) - l_self_modules_bn1_buffers_running_mean_ = ( - L_self_modules_bn1_buffers_running_mean_ - ) - l_self_modules_bn1_buffers_running_var_ = ( - L_self_modules_bn1_buffers_running_var_ - ) - l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_ - l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_ - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ - l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - input_1 = torch.conv2d( - l_x_, - l_self_modules_conv1_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - l_x_ = l_self_modules_conv1_modules_0_parameters_weight_ = None - input_2 = torch.nn.functional.batch_norm( - input_1, - l_self_modules_conv1_modules_1_buffers_running_mean_, - l_self_modules_conv1_modules_1_buffers_running_var_, - l_self_modules_conv1_modules_1_parameters_weight_, - l_self_modules_conv1_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_1 = ( - l_self_modules_conv1_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_conv1_modules_1_buffers_running_var_ - ) = ( - l_self_modules_conv1_modules_1_parameters_weight_ - ) = l_self_modules_conv1_modules_1_parameters_bias_ = None - input_3 = torch.nn.functional.relu(input_2, inplace=True) - input_2 = None - input_4 = torch.conv2d( - input_3, - l_self_modules_conv1_modules_3_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - input_3 = l_self_modules_conv1_modules_3_parameters_weight_ = None - input_5 = torch.nn.functional.batch_norm( - input_4, - l_self_modules_conv1_modules_4_buffers_running_mean_, - l_self_modules_conv1_modules_4_buffers_running_var_, - l_self_modules_conv1_modules_4_parameters_weight_, - l_self_modules_conv1_modules_4_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_4 = ( - l_self_modules_conv1_modules_4_buffers_running_mean_ - ) = ( - l_self_modules_conv1_modules_4_buffers_running_var_ - ) = ( - l_self_modules_conv1_modules_4_parameters_weight_ - ) = l_self_modules_conv1_modules_4_parameters_bias_ = None - input_6 = torch.nn.functional.relu(input_5, inplace=True) - input_5 = None - input_7 = torch.conv2d( - input_6, - l_self_modules_conv1_modules_6_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - input_6 = l_self_modules_conv1_modules_6_parameters_weight_ = None - x = torch.nn.functional.batch_norm( - input_7, - l_self_modules_bn1_buffers_running_mean_, - l_self_modules_bn1_buffers_running_var_, - l_self_modules_bn1_parameters_weight_, - l_self_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_7 = ( - l_self_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_bn1_parameters_weight_ - ) = l_self_modules_bn1_parameters_bias_ = None - x_1 = torch.nn.functional.relu(x, inplace=True) - x = None - x_2 = torch.nn.functional.max_pool2d( - x_1, 3, 2, 1, 1, ceil_mode=False, return_indices=False - ) - x_1 = None - out = torch.conv2d( - x_2, - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None - out_1 = torch.nn.functional.batch_norm( - out, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None - out_2 = torch.nn.functional.relu(out_1, inplace=True) - out_1 = None - split = torch.functional.split(out_2, 26, 1) - out_2 = None - sp = split[0] - sp_4 = split[1] - sp_8 = split[2] - getitem_3 = split[3] - split = None - sp_1 = torch.conv2d( - sp, - l_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp = ( - l_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_ - ) = None - sp_2 = torch.nn.functional.batch_norm( - sp_1, - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_1 = ( - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_ - ) = None - sp_3 = torch.nn.functional.relu(sp_2, inplace=True) - sp_2 = None - sp_5 = torch.conv2d( - sp_4, - l_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_4 = ( - l_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_ - ) = None - sp_6 = torch.nn.functional.batch_norm( - sp_5, - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_5 = ( - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_ - ) = None - sp_7 = torch.nn.functional.relu(sp_6, inplace=True) - sp_6 = None - sp_9 = torch.conv2d( - sp_8, - l_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_8 = ( - l_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_ - ) = None - sp_10 = torch.nn.functional.batch_norm( - sp_9, - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_9 = ( - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_ - ) = None - sp_11 = torch.nn.functional.relu(sp_10, inplace=True) - sp_10 = None - avg_pool2d = torch._C._nn.avg_pool2d(getitem_3, 3, 1, 1, False, True, None) - getitem_3 = None - out_3 = torch.cat([sp_3, sp_7, sp_11, avg_pool2d], 1) - sp_3 = sp_7 = sp_11 = avg_pool2d = None - out_4 = torch.conv2d( - out_3, - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_3 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None - out_5 = torch.nn.functional.batch_norm( - out_4, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_4 = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None - input_8 = torch.conv2d( - x_2, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_2 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_9 = torch.nn.functional.batch_norm( - input_8, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_8 = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - out_5 += input_9 - out_6 = out_5 - out_5 = input_9 = None - out_7 = torch.nn.functional.relu(out_6, inplace=True) - out_6 = None - out_8 = torch.conv2d( - out_7, - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None - out_9 = torch.nn.functional.batch_norm( - out_8, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_8 = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None - out_10 = torch.nn.functional.relu(out_9, inplace=True) - out_9 = None - split_1 = torch.functional.split(out_10, 26, 1) - out_10 = None - sp_12 = split_1[0] - getitem_5 = split_1[1] - getitem_6 = split_1[2] - getitem_7 = split_1[3] - split_1 = None - sp_13 = torch.conv2d( - sp_12, - l_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_12 = ( - l_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_ - ) = None - sp_14 = torch.nn.functional.batch_norm( - sp_13, - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_13 = ( - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_ - ) = None - sp_15 = torch.nn.functional.relu(sp_14, inplace=True) - sp_14 = None - sp_16 = sp_15 + getitem_5 - getitem_5 = None - sp_17 = torch.conv2d( - sp_16, - l_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_16 = ( - l_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_ - ) = None - sp_18 = torch.nn.functional.batch_norm( - sp_17, - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_17 = ( - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_ - ) = None - sp_19 = torch.nn.functional.relu(sp_18, inplace=True) - sp_18 = None - sp_20 = sp_19 + getitem_6 - getitem_6 = None - sp_21 = torch.conv2d( - sp_20, - l_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_20 = ( - l_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_ - ) = None - sp_22 = torch.nn.functional.batch_norm( - sp_21, - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_21 = ( - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_ - ) = None - sp_23 = torch.nn.functional.relu(sp_22, inplace=True) - sp_22 = None - out_11 = torch.cat([sp_15, sp_19, sp_23, getitem_7], 1) - sp_15 = sp_19 = sp_23 = getitem_7 = None - out_12 = torch.conv2d( - out_11, - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_11 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None - out_13 = torch.nn.functional.batch_norm( - out_12, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_12 = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None - out_13 += out_7 - out_14 = out_13 - out_13 = out_7 = None - out_15 = torch.nn.functional.relu(out_14, inplace=True) - out_14 = None - out_16 = torch.conv2d( - out_15, - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None - out_17 = torch.nn.functional.batch_norm( - out_16, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_16 = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None - out_18 = torch.nn.functional.relu(out_17, inplace=True) - out_17 = None - split_2 = torch.functional.split(out_18, 26, 1) - out_18 = None - sp_24 = split_2[0] - getitem_9 = split_2[1] - getitem_10 = split_2[2] - getitem_11 = split_2[3] - split_2 = None - sp_25 = torch.conv2d( - sp_24, - l_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_24 = ( - l_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_ - ) = None - sp_26 = torch.nn.functional.batch_norm( - sp_25, - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_25 = ( - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_ - ) = None - sp_27 = torch.nn.functional.relu(sp_26, inplace=True) - sp_26 = None - sp_28 = sp_27 + getitem_9 - getitem_9 = None - sp_29 = torch.conv2d( - sp_28, - l_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_28 = ( - l_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_ - ) = None - sp_30 = torch.nn.functional.batch_norm( - sp_29, - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_29 = ( - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_ - ) = None - sp_31 = torch.nn.functional.relu(sp_30, inplace=True) - sp_30 = None - sp_32 = sp_31 + getitem_10 - getitem_10 = None - sp_33 = torch.conv2d( - sp_32, - l_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_32 = ( - l_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_ - ) = None - sp_34 = torch.nn.functional.batch_norm( - sp_33, - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_33 = ( - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_ - ) = None - sp_35 = torch.nn.functional.relu(sp_34, inplace=True) - sp_34 = None - out_19 = torch.cat([sp_27, sp_31, sp_35, getitem_11], 1) - sp_27 = sp_31 = sp_35 = getitem_11 = None - out_20 = torch.conv2d( - out_19, - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_19 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None - out_21 = torch.nn.functional.batch_norm( - out_20, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_20 = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None - out_21 += out_15 - out_22 = out_21 - out_21 = out_15 = None - out_23 = torch.nn.functional.relu(out_22, inplace=True) - out_22 = None - out_24 = torch.conv2d( - out_23, - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None - out_25 = torch.nn.functional.batch_norm( - out_24, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_24 = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None - out_26 = torch.nn.functional.relu(out_25, inplace=True) - out_25 = None - split_3 = torch.functional.split(out_26, 52, 1) - out_26 = None - sp_36 = split_3[0] - sp_40 = split_3[1] - sp_44 = split_3[2] - getitem_15 = split_3[3] - split_3 = None - sp_37 = torch.conv2d( - sp_36, - l_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_36 = ( - l_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_ - ) = None - sp_38 = torch.nn.functional.batch_norm( - sp_37, - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_37 = ( - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_ - ) = None - sp_39 = torch.nn.functional.relu(sp_38, inplace=True) - sp_38 = None - sp_41 = torch.conv2d( - sp_40, - l_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_40 = ( - l_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_ - ) = None - sp_42 = torch.nn.functional.batch_norm( - sp_41, - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_41 = ( - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_ - ) = None - sp_43 = torch.nn.functional.relu(sp_42, inplace=True) - sp_42 = None - sp_45 = torch.conv2d( - sp_44, - l_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_44 = ( - l_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_ - ) = None - sp_46 = torch.nn.functional.batch_norm( - sp_45, - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_45 = ( - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_ - ) = None - sp_47 = torch.nn.functional.relu(sp_46, inplace=True) - sp_46 = None - avg_pool2d_1 = torch._C._nn.avg_pool2d(getitem_15, 3, 2, 1, False, True, None) - getitem_15 = None - out_27 = torch.cat([sp_39, sp_43, sp_47, avg_pool2d_1], 1) - sp_39 = sp_43 = sp_47 = avg_pool2d_1 = None - out_28 = torch.conv2d( - out_27, - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_27 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None - out_29 = torch.nn.functional.batch_norm( - out_28, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_28 = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None - input_10 = torch._C._nn.avg_pool2d(out_23, 2, 2, 0, True, False, None) - out_23 = None - input_11 = torch.conv2d( - input_10, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_10 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_12 = torch.nn.functional.batch_norm( - input_11, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_11 = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - out_29 += input_12 - out_30 = out_29 - out_29 = input_12 = None - out_31 = torch.nn.functional.relu(out_30, inplace=True) - out_30 = None - out_32 = torch.conv2d( - out_31, - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None - out_33 = torch.nn.functional.batch_norm( - out_32, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_32 = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None - out_34 = torch.nn.functional.relu(out_33, inplace=True) - out_33 = None - split_4 = torch.functional.split(out_34, 52, 1) - out_34 = None - sp_48 = split_4[0] - getitem_17 = split_4[1] - getitem_18 = split_4[2] - getitem_19 = split_4[3] - split_4 = None - sp_49 = torch.conv2d( - sp_48, - l_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_48 = ( - l_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_ - ) = None - sp_50 = torch.nn.functional.batch_norm( - sp_49, - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_49 = ( - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_ - ) = None - sp_51 = torch.nn.functional.relu(sp_50, inplace=True) - sp_50 = None - sp_52 = sp_51 + getitem_17 - getitem_17 = None - sp_53 = torch.conv2d( - sp_52, - l_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_52 = ( - l_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_ - ) = None - sp_54 = torch.nn.functional.batch_norm( - sp_53, - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_53 = ( - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_ - ) = None - sp_55 = torch.nn.functional.relu(sp_54, inplace=True) - sp_54 = None - sp_56 = sp_55 + getitem_18 - getitem_18 = None - sp_57 = torch.conv2d( - sp_56, - l_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_56 = ( - l_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_ - ) = None - sp_58 = torch.nn.functional.batch_norm( - sp_57, - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_57 = ( - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_ - ) = None - sp_59 = torch.nn.functional.relu(sp_58, inplace=True) - sp_58 = None - out_35 = torch.cat([sp_51, sp_55, sp_59, getitem_19], 1) - sp_51 = sp_55 = sp_59 = getitem_19 = None - out_36 = torch.conv2d( - out_35, - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_35 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None - out_37 = torch.nn.functional.batch_norm( - out_36, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_36 = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None - out_37 += out_31 - out_38 = out_37 - out_37 = out_31 = None - out_39 = torch.nn.functional.relu(out_38, inplace=True) - out_38 = None - out_40 = torch.conv2d( - out_39, - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None - out_41 = torch.nn.functional.batch_norm( - out_40, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_40 = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None - out_42 = torch.nn.functional.relu(out_41, inplace=True) - out_41 = None - split_5 = torch.functional.split(out_42, 52, 1) - out_42 = None - sp_60 = split_5[0] - getitem_21 = split_5[1] - getitem_22 = split_5[2] - getitem_23 = split_5[3] - split_5 = None - sp_61 = torch.conv2d( - sp_60, - l_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_60 = ( - l_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_ - ) = None - sp_62 = torch.nn.functional.batch_norm( - sp_61, - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_61 = ( - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_ - ) = None - sp_63 = torch.nn.functional.relu(sp_62, inplace=True) - sp_62 = None - sp_64 = sp_63 + getitem_21 - getitem_21 = None - sp_65 = torch.conv2d( - sp_64, - l_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_64 = ( - l_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_ - ) = None - sp_66 = torch.nn.functional.batch_norm( - sp_65, - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_65 = ( - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_ - ) = None - sp_67 = torch.nn.functional.relu(sp_66, inplace=True) - sp_66 = None - sp_68 = sp_67 + getitem_22 - getitem_22 = None - sp_69 = torch.conv2d( - sp_68, - l_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_68 = ( - l_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_ - ) = None - sp_70 = torch.nn.functional.batch_norm( - sp_69, - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_69 = ( - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_ - ) = None - sp_71 = torch.nn.functional.relu(sp_70, inplace=True) - sp_70 = None - out_43 = torch.cat([sp_63, sp_67, sp_71, getitem_23], 1) - sp_63 = sp_67 = sp_71 = getitem_23 = None - out_44 = torch.conv2d( - out_43, - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_43 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None - out_45 = torch.nn.functional.batch_norm( - out_44, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_44 = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None - out_45 += out_39 - out_46 = out_45 - out_45 = out_39 = None - out_47 = torch.nn.functional.relu(out_46, inplace=True) - out_46 = None - out_48 = torch.conv2d( - out_47, - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None - out_49 = torch.nn.functional.batch_norm( - out_48, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_48 = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None - out_50 = torch.nn.functional.relu(out_49, inplace=True) - out_49 = None - split_6 = torch.functional.split(out_50, 52, 1) - out_50 = None - sp_72 = split_6[0] - getitem_25 = split_6[1] - getitem_26 = split_6[2] - getitem_27 = split_6[3] - split_6 = None - sp_73 = torch.conv2d( - sp_72, - l_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_72 = ( - l_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_ - ) = None - sp_74 = torch.nn.functional.batch_norm( - sp_73, - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_73 = ( - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_ - ) = None - sp_75 = torch.nn.functional.relu(sp_74, inplace=True) - sp_74 = None - sp_76 = sp_75 + getitem_25 - getitem_25 = None - sp_77 = torch.conv2d( - sp_76, - l_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_76 = ( - l_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_ - ) = None - sp_78 = torch.nn.functional.batch_norm( - sp_77, - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_77 = ( - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_ - ) = None - sp_79 = torch.nn.functional.relu(sp_78, inplace=True) - sp_78 = None - sp_80 = sp_79 + getitem_26 - getitem_26 = None - sp_81 = torch.conv2d( - sp_80, - l_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_80 = ( - l_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_ - ) = None - sp_82 = torch.nn.functional.batch_norm( - sp_81, - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_81 = ( - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_ - ) = None - sp_83 = torch.nn.functional.relu(sp_82, inplace=True) - sp_82 = None - out_51 = torch.cat([sp_75, sp_79, sp_83, getitem_27], 1) - sp_75 = sp_79 = sp_83 = getitem_27 = None - out_52 = torch.conv2d( - out_51, - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_51 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None - out_53 = torch.nn.functional.batch_norm( - out_52, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_52 = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None - out_53 += out_47 - out_54 = out_53 - out_53 = out_47 = None - out_55 = torch.nn.functional.relu(out_54, inplace=True) - out_54 = None - out_56 = torch.conv2d( - out_55, - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None - out_57 = torch.nn.functional.batch_norm( - out_56, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_56 = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None - out_58 = torch.nn.functional.relu(out_57, inplace=True) - out_57 = None - split_7 = torch.functional.split(out_58, 104, 1) - out_58 = None - sp_84 = split_7[0] - sp_88 = split_7[1] - sp_92 = split_7[2] - getitem_31 = split_7[3] - split_7 = None - sp_85 = torch.conv2d( - sp_84, - l_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_84 = ( - l_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_ - ) = None - sp_86 = torch.nn.functional.batch_norm( - sp_85, - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_85 = ( - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_ - ) = None - sp_87 = torch.nn.functional.relu(sp_86, inplace=True) - sp_86 = None - sp_89 = torch.conv2d( - sp_88, - l_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_88 = ( - l_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_ - ) = None - sp_90 = torch.nn.functional.batch_norm( - sp_89, - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_89 = ( - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_ - ) = None - sp_91 = torch.nn.functional.relu(sp_90, inplace=True) - sp_90 = None - sp_93 = torch.conv2d( - sp_92, - l_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_92 = ( - l_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_ - ) = None - sp_94 = torch.nn.functional.batch_norm( - sp_93, - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_93 = ( - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_ - ) = None - sp_95 = torch.nn.functional.relu(sp_94, inplace=True) - sp_94 = None - avg_pool2d_3 = torch._C._nn.avg_pool2d(getitem_31, 3, 2, 1, False, True, None) - getitem_31 = None - out_59 = torch.cat([sp_87, sp_91, sp_95, avg_pool2d_3], 1) - sp_87 = sp_91 = sp_95 = avg_pool2d_3 = None - out_60 = torch.conv2d( - out_59, - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_59 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None - out_61 = torch.nn.functional.batch_norm( - out_60, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_60 = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None - input_13 = torch._C._nn.avg_pool2d(out_55, 2, 2, 0, True, False, None) - out_55 = None - input_14 = torch.conv2d( - input_13, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_13 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_15 = torch.nn.functional.batch_norm( - input_14, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_14 = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - out_61 += input_15 - out_62 = out_61 - out_61 = input_15 = None - out_63 = torch.nn.functional.relu(out_62, inplace=True) - out_62 = None - out_64 = torch.conv2d( - out_63, - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None - out_65 = torch.nn.functional.batch_norm( - out_64, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_64 = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None - out_66 = torch.nn.functional.relu(out_65, inplace=True) - out_65 = None - split_8 = torch.functional.split(out_66, 104, 1) - out_66 = None - sp_96 = split_8[0] - getitem_33 = split_8[1] - getitem_34 = split_8[2] - getitem_35 = split_8[3] - split_8 = None - sp_97 = torch.conv2d( - sp_96, - l_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_96 = ( - l_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_ - ) = None - sp_98 = torch.nn.functional.batch_norm( - sp_97, - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_97 = ( - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_ - ) = None - sp_99 = torch.nn.functional.relu(sp_98, inplace=True) - sp_98 = None - sp_100 = sp_99 + getitem_33 - getitem_33 = None - sp_101 = torch.conv2d( - sp_100, - l_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_100 = ( - l_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_ - ) = None - sp_102 = torch.nn.functional.batch_norm( - sp_101, - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_101 = ( - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_ - ) = None - sp_103 = torch.nn.functional.relu(sp_102, inplace=True) - sp_102 = None - sp_104 = sp_103 + getitem_34 - getitem_34 = None - sp_105 = torch.conv2d( - sp_104, - l_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_104 = ( - l_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_ - ) = None - sp_106 = torch.nn.functional.batch_norm( - sp_105, - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_105 = ( - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_ - ) = None - sp_107 = torch.nn.functional.relu(sp_106, inplace=True) - sp_106 = None - out_67 = torch.cat([sp_99, sp_103, sp_107, getitem_35], 1) - sp_99 = sp_103 = sp_107 = getitem_35 = None - out_68 = torch.conv2d( - out_67, - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_67 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None - out_69 = torch.nn.functional.batch_norm( - out_68, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_68 = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None - out_69 += out_63 - out_70 = out_69 - out_69 = out_63 = None - out_71 = torch.nn.functional.relu(out_70, inplace=True) - out_70 = None - out_72 = torch.conv2d( - out_71, - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None - out_73 = torch.nn.functional.batch_norm( - out_72, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_72 = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None - out_74 = torch.nn.functional.relu(out_73, inplace=True) - out_73 = None - split_9 = torch.functional.split(out_74, 104, 1) - out_74 = None - sp_108 = split_9[0] - getitem_37 = split_9[1] - getitem_38 = split_9[2] - getitem_39 = split_9[3] - split_9 = None - sp_109 = torch.conv2d( - sp_108, - l_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_108 = ( - l_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_ - ) = None - sp_110 = torch.nn.functional.batch_norm( - sp_109, - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_109 = ( - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_ - ) = None - sp_111 = torch.nn.functional.relu(sp_110, inplace=True) - sp_110 = None - sp_112 = sp_111 + getitem_37 - getitem_37 = None - sp_113 = torch.conv2d( - sp_112, - l_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_112 = ( - l_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_ - ) = None - sp_114 = torch.nn.functional.batch_norm( - sp_113, - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_113 = ( - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_ - ) = None - sp_115 = torch.nn.functional.relu(sp_114, inplace=True) - sp_114 = None - sp_116 = sp_115 + getitem_38 - getitem_38 = None - sp_117 = torch.conv2d( - sp_116, - l_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_116 = ( - l_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_ - ) = None - sp_118 = torch.nn.functional.batch_norm( - sp_117, - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_117 = ( - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_ - ) = None - sp_119 = torch.nn.functional.relu(sp_118, inplace=True) - sp_118 = None - out_75 = torch.cat([sp_111, sp_115, sp_119, getitem_39], 1) - sp_111 = sp_115 = sp_119 = getitem_39 = None - out_76 = torch.conv2d( - out_75, - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_75 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None - out_77 = torch.nn.functional.batch_norm( - out_76, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_76 = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None - out_77 += out_71 - out_78 = out_77 - out_77 = out_71 = None - out_79 = torch.nn.functional.relu(out_78, inplace=True) - out_78 = None - out_80 = torch.conv2d( - out_79, - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None - out_81 = torch.nn.functional.batch_norm( - out_80, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_80 = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None - out_82 = torch.nn.functional.relu(out_81, inplace=True) - out_81 = None - split_10 = torch.functional.split(out_82, 104, 1) - out_82 = None - sp_120 = split_10[0] - getitem_41 = split_10[1] - getitem_42 = split_10[2] - getitem_43 = split_10[3] - split_10 = None - sp_121 = torch.conv2d( - sp_120, - l_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_120 = ( - l_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_ - ) = None - sp_122 = torch.nn.functional.batch_norm( - sp_121, - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_121 = ( - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_ - ) = None - sp_123 = torch.nn.functional.relu(sp_122, inplace=True) - sp_122 = None - sp_124 = sp_123 + getitem_41 - getitem_41 = None - sp_125 = torch.conv2d( - sp_124, - l_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_124 = ( - l_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_ - ) = None - sp_126 = torch.nn.functional.batch_norm( - sp_125, - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_125 = ( - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_ - ) = None - sp_127 = torch.nn.functional.relu(sp_126, inplace=True) - sp_126 = None - sp_128 = sp_127 + getitem_42 - getitem_42 = None - sp_129 = torch.conv2d( - sp_128, - l_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_128 = ( - l_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_ - ) = None - sp_130 = torch.nn.functional.batch_norm( - sp_129, - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_129 = ( - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_ - ) = None - sp_131 = torch.nn.functional.relu(sp_130, inplace=True) - sp_130 = None - out_83 = torch.cat([sp_123, sp_127, sp_131, getitem_43], 1) - sp_123 = sp_127 = sp_131 = getitem_43 = None - out_84 = torch.conv2d( - out_83, - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_83 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None - out_85 = torch.nn.functional.batch_norm( - out_84, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_84 = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None - out_85 += out_79 - out_86 = out_85 - out_85 = out_79 = None - out_87 = torch.nn.functional.relu(out_86, inplace=True) - out_86 = None - out_88 = torch.conv2d( - out_87, - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None - out_89 = torch.nn.functional.batch_norm( - out_88, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_88 = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None - out_90 = torch.nn.functional.relu(out_89, inplace=True) - out_89 = None - split_11 = torch.functional.split(out_90, 104, 1) - out_90 = None - sp_132 = split_11[0] - getitem_45 = split_11[1] - getitem_46 = split_11[2] - getitem_47 = split_11[3] - split_11 = None - sp_133 = torch.conv2d( - sp_132, - l_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_132 = ( - l_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_ - ) = None - sp_134 = torch.nn.functional.batch_norm( - sp_133, - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_133 = ( - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_ - ) = None - sp_135 = torch.nn.functional.relu(sp_134, inplace=True) - sp_134 = None - sp_136 = sp_135 + getitem_45 - getitem_45 = None - sp_137 = torch.conv2d( - sp_136, - l_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_136 = ( - l_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_ - ) = None - sp_138 = torch.nn.functional.batch_norm( - sp_137, - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_137 = ( - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_ - ) = None - sp_139 = torch.nn.functional.relu(sp_138, inplace=True) - sp_138 = None - sp_140 = sp_139 + getitem_46 - getitem_46 = None - sp_141 = torch.conv2d( - sp_140, - l_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_140 = ( - l_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_ - ) = None - sp_142 = torch.nn.functional.batch_norm( - sp_141, - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_141 = ( - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_ - ) = None - sp_143 = torch.nn.functional.relu(sp_142, inplace=True) - sp_142 = None - out_91 = torch.cat([sp_135, sp_139, sp_143, getitem_47], 1) - sp_135 = sp_139 = sp_143 = getitem_47 = None - out_92 = torch.conv2d( - out_91, - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_91 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None - out_93 = torch.nn.functional.batch_norm( - out_92, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_92 = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None - out_93 += out_87 - out_94 = out_93 - out_93 = out_87 = None - out_95 = torch.nn.functional.relu(out_94, inplace=True) - out_94 = None - out_96 = torch.conv2d( - out_95, - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None - out_97 = torch.nn.functional.batch_norm( - out_96, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_96 = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None - out_98 = torch.nn.functional.relu(out_97, inplace=True) - out_97 = None - split_12 = torch.functional.split(out_98, 104, 1) - out_98 = None - sp_144 = split_12[0] - getitem_49 = split_12[1] - getitem_50 = split_12[2] - getitem_51 = split_12[3] - split_12 = None - sp_145 = torch.conv2d( - sp_144, - l_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_144 = ( - l_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_ - ) = None - sp_146 = torch.nn.functional.batch_norm( - sp_145, - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_145 = ( - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_ - ) = None - sp_147 = torch.nn.functional.relu(sp_146, inplace=True) - sp_146 = None - sp_148 = sp_147 + getitem_49 - getitem_49 = None - sp_149 = torch.conv2d( - sp_148, - l_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_148 = ( - l_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_ - ) = None - sp_150 = torch.nn.functional.batch_norm( - sp_149, - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_149 = ( - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_ - ) = None - sp_151 = torch.nn.functional.relu(sp_150, inplace=True) - sp_150 = None - sp_152 = sp_151 + getitem_50 - getitem_50 = None - sp_153 = torch.conv2d( - sp_152, - l_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_152 = ( - l_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_ - ) = None - sp_154 = torch.nn.functional.batch_norm( - sp_153, - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_153 = ( - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_ - ) = None - sp_155 = torch.nn.functional.relu(sp_154, inplace=True) - sp_154 = None - out_99 = torch.cat([sp_147, sp_151, sp_155, getitem_51], 1) - sp_147 = sp_151 = sp_155 = getitem_51 = None - out_100 = torch.conv2d( - out_99, - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_99 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None - out_101 = torch.nn.functional.batch_norm( - out_100, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_100 = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None - out_101 += out_95 - out_102 = out_101 - out_101 = out_95 = None - out_103 = torch.nn.functional.relu(out_102, inplace=True) - out_102 = None - out_104 = torch.conv2d( - out_103, - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = None - out_105 = torch.nn.functional.batch_norm( - out_104, - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_104 = ( - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = None - out_106 = torch.nn.functional.relu(out_105, inplace=True) - out_105 = None - split_13 = torch.functional.split(out_106, 104, 1) - out_106 = None - sp_156 = split_13[0] - getitem_53 = split_13[1] - getitem_54 = split_13[2] - getitem_55 = split_13[3] - split_13 = None - sp_157 = torch.conv2d( - sp_156, - l_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_156 = ( - l_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_ - ) = None - sp_158 = torch.nn.functional.batch_norm( - sp_157, - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_157 = ( - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_ - ) = None - sp_159 = torch.nn.functional.relu(sp_158, inplace=True) - sp_158 = None - sp_160 = sp_159 + getitem_53 - getitem_53 = None - sp_161 = torch.conv2d( - sp_160, - l_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_160 = ( - l_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_ - ) = None - sp_162 = torch.nn.functional.batch_norm( - sp_161, - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_161 = ( - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_ - ) = None - sp_163 = torch.nn.functional.relu(sp_162, inplace=True) - sp_162 = None - sp_164 = sp_163 + getitem_54 - getitem_54 = None - sp_165 = torch.conv2d( - sp_164, - l_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_164 = ( - l_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_ - ) = None - sp_166 = torch.nn.functional.batch_norm( - sp_165, - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_165 = ( - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_ - ) = None - sp_167 = torch.nn.functional.relu(sp_166, inplace=True) - sp_166 = None - out_107 = torch.cat([sp_159, sp_163, sp_167, getitem_55], 1) - sp_159 = sp_163 = sp_167 = getitem_55 = None - out_108 = torch.conv2d( - out_107, - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_107 = ( - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ - ) = None - out_109 = torch.nn.functional.batch_norm( - out_108, - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_108 = ( - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = None - out_109 += out_103 - out_110 = out_109 - out_109 = out_103 = None - out_111 = torch.nn.functional.relu(out_110, inplace=True) - out_110 = None - out_112 = torch.conv2d( - out_111, - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = None - out_113 = torch.nn.functional.batch_norm( - out_112, - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_112 = ( - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = None - out_114 = torch.nn.functional.relu(out_113, inplace=True) - out_113 = None - split_14 = torch.functional.split(out_114, 104, 1) - out_114 = None - sp_168 = split_14[0] - getitem_57 = split_14[1] - getitem_58 = split_14[2] - getitem_59 = split_14[3] - split_14 = None - sp_169 = torch.conv2d( - sp_168, - l_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_168 = ( - l_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_ - ) = None - sp_170 = torch.nn.functional.batch_norm( - sp_169, - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_169 = ( - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_ - ) = None - sp_171 = torch.nn.functional.relu(sp_170, inplace=True) - sp_170 = None - sp_172 = sp_171 + getitem_57 - getitem_57 = None - sp_173 = torch.conv2d( - sp_172, - l_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_172 = ( - l_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_ - ) = None - sp_174 = torch.nn.functional.batch_norm( - sp_173, - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_173 = ( - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_ - ) = None - sp_175 = torch.nn.functional.relu(sp_174, inplace=True) - sp_174 = None - sp_176 = sp_175 + getitem_58 - getitem_58 = None - sp_177 = torch.conv2d( - sp_176, - l_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_176 = ( - l_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_ - ) = None - sp_178 = torch.nn.functional.batch_norm( - sp_177, - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_177 = ( - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_ - ) = None - sp_179 = torch.nn.functional.relu(sp_178, inplace=True) - sp_178 = None - out_115 = torch.cat([sp_171, sp_175, sp_179, getitem_59], 1) - sp_171 = sp_175 = sp_179 = getitem_59 = None - out_116 = torch.conv2d( - out_115, - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_115 = ( - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ - ) = None - out_117 = torch.nn.functional.batch_norm( - out_116, - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_116 = ( - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = None - out_117 += out_111 - out_118 = out_117 - out_117 = out_111 = None - out_119 = torch.nn.functional.relu(out_118, inplace=True) - out_118 = None - out_120 = torch.conv2d( - out_119, - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = None - out_121 = torch.nn.functional.batch_norm( - out_120, - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_120 = ( - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = None - out_122 = torch.nn.functional.relu(out_121, inplace=True) - out_121 = None - split_15 = torch.functional.split(out_122, 104, 1) - out_122 = None - sp_180 = split_15[0] - getitem_61 = split_15[1] - getitem_62 = split_15[2] - getitem_63 = split_15[3] - split_15 = None - sp_181 = torch.conv2d( - sp_180, - l_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_180 = ( - l_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_ - ) = None - sp_182 = torch.nn.functional.batch_norm( - sp_181, - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_181 = ( - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_ - ) = None - sp_183 = torch.nn.functional.relu(sp_182, inplace=True) - sp_182 = None - sp_184 = sp_183 + getitem_61 - getitem_61 = None - sp_185 = torch.conv2d( - sp_184, - l_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_184 = ( - l_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_ - ) = None - sp_186 = torch.nn.functional.batch_norm( - sp_185, - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_185 = ( - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_ - ) = None - sp_187 = torch.nn.functional.relu(sp_186, inplace=True) - sp_186 = None - sp_188 = sp_187 + getitem_62 - getitem_62 = None - sp_189 = torch.conv2d( - sp_188, - l_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_188 = ( - l_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_ - ) = None - sp_190 = torch.nn.functional.batch_norm( - sp_189, - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_189 = ( - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_ - ) = None - sp_191 = torch.nn.functional.relu(sp_190, inplace=True) - sp_190 = None - out_123 = torch.cat([sp_183, sp_187, sp_191, getitem_63], 1) - sp_183 = sp_187 = sp_191 = getitem_63 = None - out_124 = torch.conv2d( - out_123, - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_123 = ( - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ - ) = None - out_125 = torch.nn.functional.batch_norm( - out_124, - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_124 = ( - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = None - out_125 += out_119 - out_126 = out_125 - out_125 = out_119 = None - out_127 = torch.nn.functional.relu(out_126, inplace=True) - out_126 = None - out_128 = torch.conv2d( - out_127, - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = None - out_129 = torch.nn.functional.batch_norm( - out_128, - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_128 = ( - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = None - out_130 = torch.nn.functional.relu(out_129, inplace=True) - out_129 = None - split_16 = torch.functional.split(out_130, 104, 1) - out_130 = None - sp_192 = split_16[0] - getitem_65 = split_16[1] - getitem_66 = split_16[2] - getitem_67 = split_16[3] - split_16 = None - sp_193 = torch.conv2d( - sp_192, - l_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_192 = ( - l_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_ - ) = None - sp_194 = torch.nn.functional.batch_norm( - sp_193, - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_193 = ( - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_ - ) = None - sp_195 = torch.nn.functional.relu(sp_194, inplace=True) - sp_194 = None - sp_196 = sp_195 + getitem_65 - getitem_65 = None - sp_197 = torch.conv2d( - sp_196, - l_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_196 = ( - l_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_ - ) = None - sp_198 = torch.nn.functional.batch_norm( - sp_197, - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_197 = ( - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_ - ) = None - sp_199 = torch.nn.functional.relu(sp_198, inplace=True) - sp_198 = None - sp_200 = sp_199 + getitem_66 - getitem_66 = None - sp_201 = torch.conv2d( - sp_200, - l_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_200 = ( - l_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_ - ) = None - sp_202 = torch.nn.functional.batch_norm( - sp_201, - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_201 = ( - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_ - ) = None - sp_203 = torch.nn.functional.relu(sp_202, inplace=True) - sp_202 = None - out_131 = torch.cat([sp_195, sp_199, sp_203, getitem_67], 1) - sp_195 = sp_199 = sp_203 = getitem_67 = None - out_132 = torch.conv2d( - out_131, - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_131 = ( - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ - ) = None - out_133 = torch.nn.functional.batch_norm( - out_132, - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_132 = ( - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = None - out_133 += out_127 - out_134 = out_133 - out_133 = out_127 = None - out_135 = torch.nn.functional.relu(out_134, inplace=True) - out_134 = None - out_136 = torch.conv2d( - out_135, - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = None - out_137 = torch.nn.functional.batch_norm( - out_136, - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_136 = ( - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = None - out_138 = torch.nn.functional.relu(out_137, inplace=True) - out_137 = None - split_17 = torch.functional.split(out_138, 104, 1) - out_138 = None - sp_204 = split_17[0] - getitem_69 = split_17[1] - getitem_70 = split_17[2] - getitem_71 = split_17[3] - split_17 = None - sp_205 = torch.conv2d( - sp_204, - l_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_204 = ( - l_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_ - ) = None - sp_206 = torch.nn.functional.batch_norm( - sp_205, - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_205 = ( - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_ - ) = None - sp_207 = torch.nn.functional.relu(sp_206, inplace=True) - sp_206 = None - sp_208 = sp_207 + getitem_69 - getitem_69 = None - sp_209 = torch.conv2d( - sp_208, - l_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_208 = ( - l_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_ - ) = None - sp_210 = torch.nn.functional.batch_norm( - sp_209, - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_209 = ( - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_ - ) = None - sp_211 = torch.nn.functional.relu(sp_210, inplace=True) - sp_210 = None - sp_212 = sp_211 + getitem_70 - getitem_70 = None - sp_213 = torch.conv2d( - sp_212, - l_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_212 = ( - l_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_ - ) = None - sp_214 = torch.nn.functional.batch_norm( - sp_213, - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_213 = ( - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_ - ) = None - sp_215 = torch.nn.functional.relu(sp_214, inplace=True) - sp_214 = None - out_139 = torch.cat([sp_207, sp_211, sp_215, getitem_71], 1) - sp_207 = sp_211 = sp_215 = getitem_71 = None - out_140 = torch.conv2d( - out_139, - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_139 = ( - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ - ) = None - out_141 = torch.nn.functional.batch_norm( - out_140, - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_140 = ( - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = None - out_141 += out_135 - out_142 = out_141 - out_141 = out_135 = None - out_143 = torch.nn.functional.relu(out_142, inplace=True) - out_142 = None - out_144 = torch.conv2d( - out_143, - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = None - out_145 = torch.nn.functional.batch_norm( - out_144, - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_144 = ( - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = None - out_146 = torch.nn.functional.relu(out_145, inplace=True) - out_145 = None - split_18 = torch.functional.split(out_146, 104, 1) - out_146 = None - sp_216 = split_18[0] - getitem_73 = split_18[1] - getitem_74 = split_18[2] - getitem_75 = split_18[3] - split_18 = None - sp_217 = torch.conv2d( - sp_216, - l_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_216 = ( - l_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_ - ) = None - sp_218 = torch.nn.functional.batch_norm( - sp_217, - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_217 = ( - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_ - ) = None - sp_219 = torch.nn.functional.relu(sp_218, inplace=True) - sp_218 = None - sp_220 = sp_219 + getitem_73 - getitem_73 = None - sp_221 = torch.conv2d( - sp_220, - l_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_220 = ( - l_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_ - ) = None - sp_222 = torch.nn.functional.batch_norm( - sp_221, - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_221 = ( - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_ - ) = None - sp_223 = torch.nn.functional.relu(sp_222, inplace=True) - sp_222 = None - sp_224 = sp_223 + getitem_74 - getitem_74 = None - sp_225 = torch.conv2d( - sp_224, - l_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_224 = ( - l_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_ - ) = None - sp_226 = torch.nn.functional.batch_norm( - sp_225, - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_225 = ( - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_ - ) = None - sp_227 = torch.nn.functional.relu(sp_226, inplace=True) - sp_226 = None - out_147 = torch.cat([sp_219, sp_223, sp_227, getitem_75], 1) - sp_219 = sp_223 = sp_227 = getitem_75 = None - out_148 = torch.conv2d( - out_147, - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_147 = ( - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ - ) = None - out_149 = torch.nn.functional.batch_norm( - out_148, - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_148 = ( - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = None - out_149 += out_143 - out_150 = out_149 - out_149 = out_143 = None - out_151 = torch.nn.functional.relu(out_150, inplace=True) - out_150 = None - out_152 = torch.conv2d( - out_151, - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = None - out_153 = torch.nn.functional.batch_norm( - out_152, - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_152 = ( - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = None - out_154 = torch.nn.functional.relu(out_153, inplace=True) - out_153 = None - split_19 = torch.functional.split(out_154, 104, 1) - out_154 = None - sp_228 = split_19[0] - getitem_77 = split_19[1] - getitem_78 = split_19[2] - getitem_79 = split_19[3] - split_19 = None - sp_229 = torch.conv2d( - sp_228, - l_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_228 = ( - l_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_ - ) = None - sp_230 = torch.nn.functional.batch_norm( - sp_229, - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_229 = ( - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_ - ) = None - sp_231 = torch.nn.functional.relu(sp_230, inplace=True) - sp_230 = None - sp_232 = sp_231 + getitem_77 - getitem_77 = None - sp_233 = torch.conv2d( - sp_232, - l_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_232 = ( - l_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_ - ) = None - sp_234 = torch.nn.functional.batch_norm( - sp_233, - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_233 = ( - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_ - ) = None - sp_235 = torch.nn.functional.relu(sp_234, inplace=True) - sp_234 = None - sp_236 = sp_235 + getitem_78 - getitem_78 = None - sp_237 = torch.conv2d( - sp_236, - l_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_236 = ( - l_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_ - ) = None - sp_238 = torch.nn.functional.batch_norm( - sp_237, - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_237 = ( - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_ - ) = None - sp_239 = torch.nn.functional.relu(sp_238, inplace=True) - sp_238 = None - out_155 = torch.cat([sp_231, sp_235, sp_239, getitem_79], 1) - sp_231 = sp_235 = sp_239 = getitem_79 = None - out_156 = torch.conv2d( - out_155, - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_155 = ( - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ - ) = None - out_157 = torch.nn.functional.batch_norm( - out_156, - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_156 = ( - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = None - out_157 += out_151 - out_158 = out_157 - out_157 = out_151 = None - out_159 = torch.nn.functional.relu(out_158, inplace=True) - out_158 = None - out_160 = torch.conv2d( - out_159, - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = None - out_161 = torch.nn.functional.batch_norm( - out_160, - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_160 = ( - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = None - out_162 = torch.nn.functional.relu(out_161, inplace=True) - out_161 = None - split_20 = torch.functional.split(out_162, 104, 1) - out_162 = None - sp_240 = split_20[0] - getitem_81 = split_20[1] - getitem_82 = split_20[2] - getitem_83 = split_20[3] - split_20 = None - sp_241 = torch.conv2d( - sp_240, - l_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_240 = ( - l_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_ - ) = None - sp_242 = torch.nn.functional.batch_norm( - sp_241, - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_241 = ( - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_ - ) = None - sp_243 = torch.nn.functional.relu(sp_242, inplace=True) - sp_242 = None - sp_244 = sp_243 + getitem_81 - getitem_81 = None - sp_245 = torch.conv2d( - sp_244, - l_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_244 = ( - l_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_ - ) = None - sp_246 = torch.nn.functional.batch_norm( - sp_245, - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_245 = ( - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_ - ) = None - sp_247 = torch.nn.functional.relu(sp_246, inplace=True) - sp_246 = None - sp_248 = sp_247 + getitem_82 - getitem_82 = None - sp_249 = torch.conv2d( - sp_248, - l_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_248 = ( - l_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_ - ) = None - sp_250 = torch.nn.functional.batch_norm( - sp_249, - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_249 = ( - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_ - ) = None - sp_251 = torch.nn.functional.relu(sp_250, inplace=True) - sp_250 = None - out_163 = torch.cat([sp_243, sp_247, sp_251, getitem_83], 1) - sp_243 = sp_247 = sp_251 = getitem_83 = None - out_164 = torch.conv2d( - out_163, - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_163 = ( - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ - ) = None - out_165 = torch.nn.functional.batch_norm( - out_164, - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_164 = ( - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = None - out_165 += out_159 - out_166 = out_165 - out_165 = out_159 = None - out_167 = torch.nn.functional.relu(out_166, inplace=True) - out_166 = None - out_168 = torch.conv2d( - out_167, - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = None - out_169 = torch.nn.functional.batch_norm( - out_168, - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_168 = ( - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = None - out_170 = torch.nn.functional.relu(out_169, inplace=True) - out_169 = None - split_21 = torch.functional.split(out_170, 104, 1) - out_170 = None - sp_252 = split_21[0] - getitem_85 = split_21[1] - getitem_86 = split_21[2] - getitem_87 = split_21[3] - split_21 = None - sp_253 = torch.conv2d( - sp_252, - l_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_252 = ( - l_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_ - ) = None - sp_254 = torch.nn.functional.batch_norm( - sp_253, - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_253 = ( - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_ - ) = None - sp_255 = torch.nn.functional.relu(sp_254, inplace=True) - sp_254 = None - sp_256 = sp_255 + getitem_85 - getitem_85 = None - sp_257 = torch.conv2d( - sp_256, - l_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_256 = ( - l_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_ - ) = None - sp_258 = torch.nn.functional.batch_norm( - sp_257, - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_257 = ( - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_ - ) = None - sp_259 = torch.nn.functional.relu(sp_258, inplace=True) - sp_258 = None - sp_260 = sp_259 + getitem_86 - getitem_86 = None - sp_261 = torch.conv2d( - sp_260, - l_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_260 = ( - l_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_ - ) = None - sp_262 = torch.nn.functional.batch_norm( - sp_261, - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_261 = ( - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_ - ) = None - sp_263 = torch.nn.functional.relu(sp_262, inplace=True) - sp_262 = None - out_171 = torch.cat([sp_255, sp_259, sp_263, getitem_87], 1) - sp_255 = sp_259 = sp_263 = getitem_87 = None - out_172 = torch.conv2d( - out_171, - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_171 = ( - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ - ) = None - out_173 = torch.nn.functional.batch_norm( - out_172, - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_172 = ( - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = None - out_173 += out_167 - out_174 = out_173 - out_173 = out_167 = None - out_175 = torch.nn.functional.relu(out_174, inplace=True) - out_174 = None - out_176 = torch.conv2d( - out_175, - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = None - out_177 = torch.nn.functional.batch_norm( - out_176, - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_176 = ( - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = None - out_178 = torch.nn.functional.relu(out_177, inplace=True) - out_177 = None - split_22 = torch.functional.split(out_178, 104, 1) - out_178 = None - sp_264 = split_22[0] - getitem_89 = split_22[1] - getitem_90 = split_22[2] - getitem_91 = split_22[3] - split_22 = None - sp_265 = torch.conv2d( - sp_264, - l_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_264 = ( - l_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_ - ) = None - sp_266 = torch.nn.functional.batch_norm( - sp_265, - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_265 = ( - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_ - ) = None - sp_267 = torch.nn.functional.relu(sp_266, inplace=True) - sp_266 = None - sp_268 = sp_267 + getitem_89 - getitem_89 = None - sp_269 = torch.conv2d( - sp_268, - l_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_268 = ( - l_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_ - ) = None - sp_270 = torch.nn.functional.batch_norm( - sp_269, - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_269 = ( - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_ - ) = None - sp_271 = torch.nn.functional.relu(sp_270, inplace=True) - sp_270 = None - sp_272 = sp_271 + getitem_90 - getitem_90 = None - sp_273 = torch.conv2d( - sp_272, - l_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_272 = ( - l_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_ - ) = None - sp_274 = torch.nn.functional.batch_norm( - sp_273, - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_273 = ( - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_ - ) = None - sp_275 = torch.nn.functional.relu(sp_274, inplace=True) - sp_274 = None - out_179 = torch.cat([sp_267, sp_271, sp_275, getitem_91], 1) - sp_267 = sp_271 = sp_275 = getitem_91 = None - out_180 = torch.conv2d( - out_179, - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_179 = ( - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ - ) = None - out_181 = torch.nn.functional.batch_norm( - out_180, - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_180 = ( - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = None - out_181 += out_175 - out_182 = out_181 - out_181 = out_175 = None - out_183 = torch.nn.functional.relu(out_182, inplace=True) - out_182 = None - out_184 = torch.conv2d( - out_183, - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = None - out_185 = torch.nn.functional.batch_norm( - out_184, - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_184 = ( - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = None - out_186 = torch.nn.functional.relu(out_185, inplace=True) - out_185 = None - split_23 = torch.functional.split(out_186, 104, 1) - out_186 = None - sp_276 = split_23[0] - getitem_93 = split_23[1] - getitem_94 = split_23[2] - getitem_95 = split_23[3] - split_23 = None - sp_277 = torch.conv2d( - sp_276, - l_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_276 = ( - l_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_ - ) = None - sp_278 = torch.nn.functional.batch_norm( - sp_277, - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_277 = ( - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_ - ) = None - sp_279 = torch.nn.functional.relu(sp_278, inplace=True) - sp_278 = None - sp_280 = sp_279 + getitem_93 - getitem_93 = None - sp_281 = torch.conv2d( - sp_280, - l_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_280 = ( - l_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_ - ) = None - sp_282 = torch.nn.functional.batch_norm( - sp_281, - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_281 = ( - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_ - ) = None - sp_283 = torch.nn.functional.relu(sp_282, inplace=True) - sp_282 = None - sp_284 = sp_283 + getitem_94 - getitem_94 = None - sp_285 = torch.conv2d( - sp_284, - l_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_284 = ( - l_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_ - ) = None - sp_286 = torch.nn.functional.batch_norm( - sp_285, - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_285 = ( - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_ - ) = None - sp_287 = torch.nn.functional.relu(sp_286, inplace=True) - sp_286 = None - out_187 = torch.cat([sp_279, sp_283, sp_287, getitem_95], 1) - sp_279 = sp_283 = sp_287 = getitem_95 = None - out_188 = torch.conv2d( - out_187, - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_187 = ( - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ - ) = None - out_189 = torch.nn.functional.batch_norm( - out_188, - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_188 = ( - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = None - out_189 += out_183 - out_190 = out_189 - out_189 = out_183 = None - out_191 = torch.nn.functional.relu(out_190, inplace=True) - out_190 = None - out_192 = torch.conv2d( - out_191, - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = None - out_193 = torch.nn.functional.batch_norm( - out_192, - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_192 = ( - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = None - out_194 = torch.nn.functional.relu(out_193, inplace=True) - out_193 = None - split_24 = torch.functional.split(out_194, 104, 1) - out_194 = None - sp_288 = split_24[0] - getitem_97 = split_24[1] - getitem_98 = split_24[2] - getitem_99 = split_24[3] - split_24 = None - sp_289 = torch.conv2d( - sp_288, - l_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_288 = ( - l_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_ - ) = None - sp_290 = torch.nn.functional.batch_norm( - sp_289, - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_289 = ( - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_ - ) = None - sp_291 = torch.nn.functional.relu(sp_290, inplace=True) - sp_290 = None - sp_292 = sp_291 + getitem_97 - getitem_97 = None - sp_293 = torch.conv2d( - sp_292, - l_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_292 = ( - l_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_ - ) = None - sp_294 = torch.nn.functional.batch_norm( - sp_293, - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_293 = ( - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_ - ) = None - sp_295 = torch.nn.functional.relu(sp_294, inplace=True) - sp_294 = None - sp_296 = sp_295 + getitem_98 - getitem_98 = None - sp_297 = torch.conv2d( - sp_296, - l_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_296 = ( - l_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_ - ) = None - sp_298 = torch.nn.functional.batch_norm( - sp_297, - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_297 = ( - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_ - ) = None - sp_299 = torch.nn.functional.relu(sp_298, inplace=True) - sp_298 = None - out_195 = torch.cat([sp_291, sp_295, sp_299, getitem_99], 1) - sp_291 = sp_295 = sp_299 = getitem_99 = None - out_196 = torch.conv2d( - out_195, - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_195 = ( - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ - ) = None - out_197 = torch.nn.functional.batch_norm( - out_196, - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_196 = ( - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = None - out_197 += out_191 - out_198 = out_197 - out_197 = out_191 = None - out_199 = torch.nn.functional.relu(out_198, inplace=True) - out_198 = None - out_200 = torch.conv2d( - out_199, - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = None - out_201 = torch.nn.functional.batch_norm( - out_200, - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_200 = ( - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = None - out_202 = torch.nn.functional.relu(out_201, inplace=True) - out_201 = None - split_25 = torch.functional.split(out_202, 104, 1) - out_202 = None - sp_300 = split_25[0] - getitem_101 = split_25[1] - getitem_102 = split_25[2] - getitem_103 = split_25[3] - split_25 = None - sp_301 = torch.conv2d( - sp_300, - l_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_300 = ( - l_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_ - ) = None - sp_302 = torch.nn.functional.batch_norm( - sp_301, - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_301 = ( - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_ - ) = None - sp_303 = torch.nn.functional.relu(sp_302, inplace=True) - sp_302 = None - sp_304 = sp_303 + getitem_101 - getitem_101 = None - sp_305 = torch.conv2d( - sp_304, - l_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_304 = ( - l_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_ - ) = None - sp_306 = torch.nn.functional.batch_norm( - sp_305, - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_305 = ( - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_ - ) = None - sp_307 = torch.nn.functional.relu(sp_306, inplace=True) - sp_306 = None - sp_308 = sp_307 + getitem_102 - getitem_102 = None - sp_309 = torch.conv2d( - sp_308, - l_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_308 = ( - l_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_ - ) = None - sp_310 = torch.nn.functional.batch_norm( - sp_309, - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_309 = ( - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_ - ) = None - sp_311 = torch.nn.functional.relu(sp_310, inplace=True) - sp_310 = None - out_203 = torch.cat([sp_303, sp_307, sp_311, getitem_103], 1) - sp_303 = sp_307 = sp_311 = getitem_103 = None - out_204 = torch.conv2d( - out_203, - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_203 = ( - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ - ) = None - out_205 = torch.nn.functional.batch_norm( - out_204, - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_204 = ( - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = None - out_205 += out_199 - out_206 = out_205 - out_205 = out_199 = None - out_207 = torch.nn.functional.relu(out_206, inplace=True) - out_206 = None - out_208 = torch.conv2d( - out_207, - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = None - out_209 = torch.nn.functional.batch_norm( - out_208, - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_208 = ( - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = None - out_210 = torch.nn.functional.relu(out_209, inplace=True) - out_209 = None - split_26 = torch.functional.split(out_210, 104, 1) - out_210 = None - sp_312 = split_26[0] - getitem_105 = split_26[1] - getitem_106 = split_26[2] - getitem_107 = split_26[3] - split_26 = None - sp_313 = torch.conv2d( - sp_312, - l_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_312 = ( - l_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_ - ) = None - sp_314 = torch.nn.functional.batch_norm( - sp_313, - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_313 = ( - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_ - ) = None - sp_315 = torch.nn.functional.relu(sp_314, inplace=True) - sp_314 = None - sp_316 = sp_315 + getitem_105 - getitem_105 = None - sp_317 = torch.conv2d( - sp_316, - l_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_316 = ( - l_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_ - ) = None - sp_318 = torch.nn.functional.batch_norm( - sp_317, - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_317 = ( - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_ - ) = None - sp_319 = torch.nn.functional.relu(sp_318, inplace=True) - sp_318 = None - sp_320 = sp_319 + getitem_106 - getitem_106 = None - sp_321 = torch.conv2d( - sp_320, - l_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_320 = ( - l_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_ - ) = None - sp_322 = torch.nn.functional.batch_norm( - sp_321, - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_321 = ( - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_ - ) = None - sp_323 = torch.nn.functional.relu(sp_322, inplace=True) - sp_322 = None - out_211 = torch.cat([sp_315, sp_319, sp_323, getitem_107], 1) - sp_315 = sp_319 = sp_323 = getitem_107 = None - out_212 = torch.conv2d( - out_211, - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_211 = ( - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ - ) = None - out_213 = torch.nn.functional.batch_norm( - out_212, - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_212 = ( - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = None - out_213 += out_207 - out_214 = out_213 - out_213 = out_207 = None - out_215 = torch.nn.functional.relu(out_214, inplace=True) - out_214 = None - out_216 = torch.conv2d( - out_215, - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = None - out_217 = torch.nn.functional.batch_norm( - out_216, - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_216 = ( - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = None - out_218 = torch.nn.functional.relu(out_217, inplace=True) - out_217 = None - split_27 = torch.functional.split(out_218, 104, 1) - out_218 = None - sp_324 = split_27[0] - getitem_109 = split_27[1] - getitem_110 = split_27[2] - getitem_111 = split_27[3] - split_27 = None - sp_325 = torch.conv2d( - sp_324, - l_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_324 = ( - l_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_ - ) = None - sp_326 = torch.nn.functional.batch_norm( - sp_325, - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_325 = ( - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_ - ) = None - sp_327 = torch.nn.functional.relu(sp_326, inplace=True) - sp_326 = None - sp_328 = sp_327 + getitem_109 - getitem_109 = None - sp_329 = torch.conv2d( - sp_328, - l_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_328 = ( - l_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_ - ) = None - sp_330 = torch.nn.functional.batch_norm( - sp_329, - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_329 = ( - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_ - ) = None - sp_331 = torch.nn.functional.relu(sp_330, inplace=True) - sp_330 = None - sp_332 = sp_331 + getitem_110 - getitem_110 = None - sp_333 = torch.conv2d( - sp_332, - l_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_332 = ( - l_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_ - ) = None - sp_334 = torch.nn.functional.batch_norm( - sp_333, - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_333 = ( - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_ - ) = None - sp_335 = torch.nn.functional.relu(sp_334, inplace=True) - sp_334 = None - out_219 = torch.cat([sp_327, sp_331, sp_335, getitem_111], 1) - sp_327 = sp_331 = sp_335 = getitem_111 = None - out_220 = torch.conv2d( - out_219, - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_219 = ( - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ - ) = None - out_221 = torch.nn.functional.batch_norm( - out_220, - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_220 = ( - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = None - out_221 += out_215 - out_222 = out_221 - out_221 = out_215 = None - out_223 = torch.nn.functional.relu(out_222, inplace=True) - out_222 = None - out_224 = torch.conv2d( - out_223, - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = None - out_225 = torch.nn.functional.batch_norm( - out_224, - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_224 = ( - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = None - out_226 = torch.nn.functional.relu(out_225, inplace=True) - out_225 = None - split_28 = torch.functional.split(out_226, 104, 1) - out_226 = None - sp_336 = split_28[0] - getitem_113 = split_28[1] - getitem_114 = split_28[2] - getitem_115 = split_28[3] - split_28 = None - sp_337 = torch.conv2d( - sp_336, - l_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_336 = ( - l_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_ - ) = None - sp_338 = torch.nn.functional.batch_norm( - sp_337, - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_337 = ( - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_ - ) = None - sp_339 = torch.nn.functional.relu(sp_338, inplace=True) - sp_338 = None - sp_340 = sp_339 + getitem_113 - getitem_113 = None - sp_341 = torch.conv2d( - sp_340, - l_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_340 = ( - l_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_ - ) = None - sp_342 = torch.nn.functional.batch_norm( - sp_341, - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_341 = ( - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_ - ) = None - sp_343 = torch.nn.functional.relu(sp_342, inplace=True) - sp_342 = None - sp_344 = sp_343 + getitem_114 - getitem_114 = None - sp_345 = torch.conv2d( - sp_344, - l_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_344 = ( - l_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_ - ) = None - sp_346 = torch.nn.functional.batch_norm( - sp_345, - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_345 = ( - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_ - ) = None - sp_347 = torch.nn.functional.relu(sp_346, inplace=True) - sp_346 = None - out_227 = torch.cat([sp_339, sp_343, sp_347, getitem_115], 1) - sp_339 = sp_343 = sp_347 = getitem_115 = None - out_228 = torch.conv2d( - out_227, - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_227 = ( - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ - ) = None - out_229 = torch.nn.functional.batch_norm( - out_228, - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_228 = ( - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = None - out_229 += out_223 - out_230 = out_229 - out_229 = out_223 = None - out_231 = torch.nn.functional.relu(out_230, inplace=True) - out_230 = None - out_232 = torch.conv2d( - out_231, - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = None - out_233 = torch.nn.functional.batch_norm( - out_232, - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_232 = ( - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = None - out_234 = torch.nn.functional.relu(out_233, inplace=True) - out_233 = None - split_29 = torch.functional.split(out_234, 104, 1) - out_234 = None - sp_348 = split_29[0] - getitem_117 = split_29[1] - getitem_118 = split_29[2] - getitem_119 = split_29[3] - split_29 = None - sp_349 = torch.conv2d( - sp_348, - l_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_348 = ( - l_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_ - ) = None - sp_350 = torch.nn.functional.batch_norm( - sp_349, - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_349 = ( - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_ - ) = None - sp_351 = torch.nn.functional.relu(sp_350, inplace=True) - sp_350 = None - sp_352 = sp_351 + getitem_117 - getitem_117 = None - sp_353 = torch.conv2d( - sp_352, - l_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_352 = ( - l_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_ - ) = None - sp_354 = torch.nn.functional.batch_norm( - sp_353, - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_353 = ( - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_ - ) = None - sp_355 = torch.nn.functional.relu(sp_354, inplace=True) - sp_354 = None - sp_356 = sp_355 + getitem_118 - getitem_118 = None - sp_357 = torch.conv2d( - sp_356, - l_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_356 = ( - l_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_ - ) = None - sp_358 = torch.nn.functional.batch_norm( - sp_357, - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_357 = ( - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_ - ) = None - sp_359 = torch.nn.functional.relu(sp_358, inplace=True) - sp_358 = None - out_235 = torch.cat([sp_351, sp_355, sp_359, getitem_119], 1) - sp_351 = sp_355 = sp_359 = getitem_119 = None - out_236 = torch.conv2d( - out_235, - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_235 = ( - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ - ) = None - out_237 = torch.nn.functional.batch_norm( - out_236, - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_236 = ( - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = None - out_237 += out_231 - out_238 = out_237 - out_237 = out_231 = None - out_239 = torch.nn.functional.relu(out_238, inplace=True) - out_238 = None - out_240 = torch.conv2d( - out_239, - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None - out_241 = torch.nn.functional.batch_norm( - out_240, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_240 = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None - out_242 = torch.nn.functional.relu(out_241, inplace=True) - out_241 = None - split_30 = torch.functional.split(out_242, 208, 1) - out_242 = None - sp_360 = split_30[0] - sp_364 = split_30[1] - sp_368 = split_30[2] - getitem_123 = split_30[3] - split_30 = None - sp_361 = torch.conv2d( - sp_360, - l_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_360 = ( - l_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_ - ) = None - sp_362 = torch.nn.functional.batch_norm( - sp_361, - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_361 = ( - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_ - ) = None - sp_363 = torch.nn.functional.relu(sp_362, inplace=True) - sp_362 = None - sp_365 = torch.conv2d( - sp_364, - l_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_364 = ( - l_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_ - ) = None - sp_366 = torch.nn.functional.batch_norm( - sp_365, - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_365 = ( - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_ - ) = None - sp_367 = torch.nn.functional.relu(sp_366, inplace=True) - sp_366 = None - sp_369 = torch.conv2d( - sp_368, - l_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - sp_368 = ( - l_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_ - ) = None - sp_370 = torch.nn.functional.batch_norm( - sp_369, - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_369 = ( - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_ - ) = None - sp_371 = torch.nn.functional.relu(sp_370, inplace=True) - sp_370 = None - avg_pool2d_5 = torch._C._nn.avg_pool2d(getitem_123, 3, 2, 1, False, True, None) - getitem_123 = None - out_243 = torch.cat([sp_363, sp_367, sp_371, avg_pool2d_5], 1) - sp_363 = sp_367 = sp_371 = avg_pool2d_5 = None - out_244 = torch.conv2d( - out_243, - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_243 = ( - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) = None - out_245 = torch.nn.functional.batch_norm( - out_244, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_244 = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None - input_16 = torch._C._nn.avg_pool2d(out_239, 2, 2, 0, True, False, None) - out_239 = None - input_17 = torch.conv2d( - input_16, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - input_16 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) - input_18 = torch.nn.functional.batch_norm( - input_17, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_17 = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_ = (None) - out_245 += input_18 - out_246 = out_245 - out_245 = input_18 = None - out_247 = torch.nn.functional.relu(out_246, inplace=True) - out_246 = None - out_248 = torch.conv2d( - out_247, - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None - out_249 = torch.nn.functional.batch_norm( - out_248, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_248 = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None - out_250 = torch.nn.functional.relu(out_249, inplace=True) - out_249 = None - split_31 = torch.functional.split(out_250, 208, 1) - out_250 = None - sp_372 = split_31[0] - getitem_125 = split_31[1] - getitem_126 = split_31[2] - getitem_127 = split_31[3] - split_31 = None - sp_373 = torch.conv2d( - sp_372, - l_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_372 = ( - l_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_ - ) = None - sp_374 = torch.nn.functional.batch_norm( - sp_373, - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_373 = ( - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_ - ) = None - sp_375 = torch.nn.functional.relu(sp_374, inplace=True) - sp_374 = None - sp_376 = sp_375 + getitem_125 - getitem_125 = None - sp_377 = torch.conv2d( - sp_376, - l_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_376 = ( - l_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_ - ) = None - sp_378 = torch.nn.functional.batch_norm( - sp_377, - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_377 = ( - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_ - ) = None - sp_379 = torch.nn.functional.relu(sp_378, inplace=True) - sp_378 = None - sp_380 = sp_379 + getitem_126 - getitem_126 = None - sp_381 = torch.conv2d( - sp_380, - l_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_380 = ( - l_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_ - ) = None - sp_382 = torch.nn.functional.batch_norm( - sp_381, - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_381 = ( - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_ - ) = None - sp_383 = torch.nn.functional.relu(sp_382, inplace=True) - sp_382 = None - out_251 = torch.cat([sp_375, sp_379, sp_383, getitem_127], 1) - sp_375 = sp_379 = sp_383 = getitem_127 = None - out_252 = torch.conv2d( - out_251, - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_251 = ( - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) = None - out_253 = torch.nn.functional.batch_norm( - out_252, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_252 = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None - out_253 += out_247 - out_254 = out_253 - out_253 = out_247 = None - out_255 = torch.nn.functional.relu(out_254, inplace=True) - out_254 = None - out_256 = torch.conv2d( - out_255, - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None - out_257 = torch.nn.functional.batch_norm( - out_256, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_256 = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None - out_258 = torch.nn.functional.relu(out_257, inplace=True) - out_257 = None - split_32 = torch.functional.split(out_258, 208, 1) - out_258 = None - sp_384 = split_32[0] - getitem_129 = split_32[1] - getitem_130 = split_32[2] - getitem_131 = split_32[3] - split_32 = None - sp_385 = torch.conv2d( - sp_384, - l_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_384 = ( - l_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_ - ) = None - sp_386 = torch.nn.functional.batch_norm( - sp_385, - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_385 = ( - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_ - ) = None - sp_387 = torch.nn.functional.relu(sp_386, inplace=True) - sp_386 = None - sp_388 = sp_387 + getitem_129 - getitem_129 = None - sp_389 = torch.conv2d( - sp_388, - l_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_388 = ( - l_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_ - ) = None - sp_390 = torch.nn.functional.batch_norm( - sp_389, - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_389 = ( - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_ - ) = None - sp_391 = torch.nn.functional.relu(sp_390, inplace=True) - sp_390 = None - sp_392 = sp_391 + getitem_130 - getitem_130 = None - sp_393 = torch.conv2d( - sp_392, - l_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - sp_392 = ( - l_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_ - ) = None - sp_394 = torch.nn.functional.batch_norm( - sp_393, - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - sp_393 = ( - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_ - ) = ( - l_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_ - ) = None - sp_395 = torch.nn.functional.relu(sp_394, inplace=True) - sp_394 = None - out_259 = torch.cat([sp_387, sp_391, sp_395, getitem_131], 1) - sp_387 = sp_391 = sp_395 = getitem_131 = None - out_260 = torch.conv2d( - out_259, - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_259 = ( - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) = None - out_261 = torch.nn.functional.batch_norm( - out_260, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_260 = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None - out_261 += out_255 - out_262 = out_261 - out_261 = out_255 = None - out_263 = torch.nn.functional.relu(out_262, inplace=True) - out_262 = None - x_3 = torch.nn.functional.adaptive_avg_pool2d(out_263, 1) - out_263 = None - x_4 = x_3.flatten(1, -1) - x_3 = None - x_5 = torch._C._nn.linear( - x_4, - l_self_modules_fc_parameters_weight_, - l_self_modules_fc_parameters_bias_, - ) - x_4 = ( - l_self_modules_fc_parameters_weight_ - ) = l_self_modules_fc_parameters_bias_ = None - return (x_5,) diff --git a/samples/timm/res2net101d.in1k/weight_meta.py b/samples/timm/res2net101d.in1k/weight_meta.py deleted file mode 100644 index 0aded2d57..000000000 --- a/samples/timm/res2net101d.in1k/weight_meta.py +++ /dev/null @@ -1,8724 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_conv1_modules_0_parameters_weight_" - shape = [32, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.084 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.219 - std = 1.287 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_conv1_modules_1_buffers_running_mean_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_conv1_modules_1_buffers_running_var_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_conv1_modules_1_parameters_weight_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_conv1_modules_1_parameters_bias_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_: - name = "L_self_modules_conv1_modules_3_parameters_weight_" - shape = [32, 32, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.084 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_mean_: - name = "L_self_modules_conv1_modules_4_buffers_running_mean_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_buffers_running_var_: - name = "L_self_modules_conv1_modules_4_buffers_running_var_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_weight_: - name = "L_self_modules_conv1_modules_4_parameters_weight_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_4_parameters_bias_: - name = "L_self_modules_conv1_modules_4_parameters_bias_" - shape = [32] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_conv1_modules_6_parameters_weight_: - name = "L_self_modules_conv1_modules_6_parameters_weight_" - shape = [64, 32, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_: - name = "L_self_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_: - name = "L_self_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_: - name = "L_self_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_: - name = "L_self_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_" - shape = [104, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.139 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_convs_modules_0_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_0_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_0_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_convs_modules_1_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_1_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_1_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_convs_modules_2_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_2_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bns_modules_2_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_" - shape = [256, 104, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [256, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_" - shape = [104, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.138 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_convs_modules_0_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.094 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_0_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_0_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_convs_modules_1_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_1_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_1_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_convs_modules_2_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.091 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_2_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bns_modules_2_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_" - shape = [256, 104, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_" - shape = [104, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.139 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_convs_modules_0_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.094 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_0_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_0_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_convs_modules_1_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_1_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_1_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_convs_modules_2_parameters_weight_" - shape = [26, 26, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_mean_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_2_buffers_running_var_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_weight_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bns_modules_2_parameters_bias_" - shape = [26] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_" - shape = [256, 104, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_" - shape = [208, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.099 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_convs_modules_0_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_0_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_0_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_convs_modules_1_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_1_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_1_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_convs_modules_2_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_2_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bns_modules_2_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_" - shape = [512, 208, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer2_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_" - shape = [208, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.098 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_convs_modules_0_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_0_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_0_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_convs_modules_1_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_1_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_1_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_convs_modules_2_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.066 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_2_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bns_modules_2_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_" - shape = [512, 208, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_" - shape = [208, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.098 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_convs_modules_0_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_0_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_0_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_convs_modules_1_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.066 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_1_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_1_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_convs_modules_2_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_2_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bns_modules_2_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_" - shape = [512, 208, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_" - shape = [208, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.098 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_convs_modules_0_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_0_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_0_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_convs_modules_1_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_1_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_1_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_convs_modules_2_parameters_weight_" - shape = [52, 52, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_mean_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_2_buffers_running_var_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_weight_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bns_modules_2_parameters_bias_" - shape = [52] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_" - shape = [512, 208, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_" - shape = [416, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer3_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_mean_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_" - shape = [416, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_" - shape = [416] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_convs_modules_0_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_0_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_0_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_convs_modules_1_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_1_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_1_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_convs_modules_2_parameters_weight_" - shape = [104, 104, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_: - name = ( - "L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_mean_" - ) - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_2_buffers_running_var_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_weight_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bns_modules_2_parameters_bias_" - shape = [104] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_" - shape = [1024, 416, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_" - shape = [832, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_convs_modules_0_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_0_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_0_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_convs_modules_1_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_convs_modules_2_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_2_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bns_modules_2_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_" - shape = [2048, 832, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_: - name = ( - "L_self_modules_layer4_modules_0_modules_downsample_modules_2_parameters_bias_" - ) - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_" - shape = [832, 2048, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_convs_modules_0_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_0_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_0_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_convs_modules_1_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_convs_modules_2_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_2_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bns_modules_2_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_" - shape = [2048, 832, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_" - shape = [832, 2048, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_" - shape = [832] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_convs_modules_0_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_0_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_0_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_convs_modules_1_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_1_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_1_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_convs_modules_2_parameters_weight_" - shape = [208, 208, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_mean_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_2_buffers_running_var_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_weight_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bns_modules_2_parameters_bias_" - shape = [208] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_" - shape = [2048, 832, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [1000, 2048] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: - name = "L_self_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.013 - data = None diff --git a/samples/timm/resnet18.a1_in1k/graph_hash.txt b/samples/timm/resnet18.a1_in1k/graph_hash.txt deleted file mode 100644 index 1e5df26ae..000000000 --- a/samples/timm/resnet18.a1_in1k/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -248d46ebcf5bc02d3e72953ea430b5e18175b0419dbdbcd2479202497f58319d \ No newline at end of file diff --git a/samples/timm/resnet18.a1_in1k/graph_net.json b/samples/timm/resnet18.a1_in1k/graph_net.json deleted file mode 100644 index 5a6dada2f..000000000 --- a/samples/timm/resnet18.a1_in1k/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "timm", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/timm/resnet18.a1_in1k/input_meta.py b/samples/timm/resnet18.a1_in1k/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/resnet18.a1_in1k/input_tensor_constraints.py b/samples/timm/resnet18.a1_in1k/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/timm/resnet18.a1_in1k/model.py b/samples/timm/resnet18.a1_in1k/model.py deleted file mode 100644 index 0d741677b..000000000 --- a/samples/timm/resnet18.a1_in1k/model.py +++ /dev/null @@ -1,977 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_conv1_parameters_weight_ = ( - L_self_modules_conv1_parameters_weight_ - ) - l_x_ = L_x_ - l_self_modules_bn1_buffers_running_mean_ = ( - L_self_modules_bn1_buffers_running_mean_ - ) - l_self_modules_bn1_buffers_running_var_ = ( - L_self_modules_bn1_buffers_running_var_ - ) - l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_ - l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_ - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ - l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - x = torch.conv2d( - l_x_, - l_self_modules_conv1_parameters_weight_, - None, - (2, 2), - (3, 3), - (1, 1), - 1, - ) - l_x_ = l_self_modules_conv1_parameters_weight_ = None - x_1 = torch.nn.functional.batch_norm( - x, - l_self_modules_bn1_buffers_running_mean_, - l_self_modules_bn1_buffers_running_var_, - l_self_modules_bn1_parameters_weight_, - l_self_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x = ( - l_self_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_bn1_parameters_weight_ - ) = l_self_modules_bn1_parameters_bias_ = None - x_2 = torch.nn.functional.relu(x_1, inplace=True) - x_1 = None - x_3 = torch.nn.functional.max_pool2d( - x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False - ) - x_2 = None - x_4 = torch.conv2d( - x_3, - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None - x_5 = torch.nn.functional.batch_norm( - x_4, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_4 = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None - x_6 = torch.nn.functional.relu(x_5, inplace=True) - x_5 = None - x_7 = torch.conv2d( - x_6, - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_6 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None - x_8 = torch.nn.functional.batch_norm( - x_7, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_7 = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None - x_8 += x_3 - x_9 = x_8 - x_8 = x_3 = None - x_10 = torch.nn.functional.relu(x_9, inplace=True) - x_9 = None - x_11 = torch.conv2d( - x_10, - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None - x_12 = torch.nn.functional.batch_norm( - x_11, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_11 = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None - x_13 = torch.nn.functional.relu(x_12, inplace=True) - x_12 = None - x_14 = torch.conv2d( - x_13, - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_13 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None - x_15 = torch.nn.functional.batch_norm( - x_14, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_14 = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None - x_15 += x_10 - x_16 = x_15 - x_15 = x_10 = None - x_17 = torch.nn.functional.relu(x_16, inplace=True) - x_16 = None - x_18 = torch.conv2d( - x_17, - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None - x_19 = torch.nn.functional.batch_norm( - x_18, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_18 = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None - x_20 = torch.nn.functional.relu(x_19, inplace=True) - x_19 = None - x_21 = torch.conv2d( - x_20, - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_20 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None - x_22 = torch.nn.functional.batch_norm( - x_21, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_21 = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None - input_1 = torch.conv2d( - x_17, - l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_17 = l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_2 = torch.nn.functional.batch_norm( - input_1, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_1 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - x_22 += input_2 - x_23 = x_22 - x_22 = input_2 = None - x_24 = torch.nn.functional.relu(x_23, inplace=True) - x_23 = None - x_25 = torch.conv2d( - x_24, - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None - x_26 = torch.nn.functional.batch_norm( - x_25, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_25 = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None - x_27 = torch.nn.functional.relu(x_26, inplace=True) - x_26 = None - x_28 = torch.conv2d( - x_27, - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_27 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None - x_29 = torch.nn.functional.batch_norm( - x_28, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_28 = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None - x_29 += x_24 - x_30 = x_29 - x_29 = x_24 = None - x_31 = torch.nn.functional.relu(x_30, inplace=True) - x_30 = None - x_32 = torch.conv2d( - x_31, - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None - x_33 = torch.nn.functional.batch_norm( - x_32, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_32 = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None - x_34 = torch.nn.functional.relu(x_33, inplace=True) - x_33 = None - x_35 = torch.conv2d( - x_34, - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_34 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None - x_36 = torch.nn.functional.batch_norm( - x_35, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_35 = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None - input_3 = torch.conv2d( - x_31, - l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_31 = l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_4 = torch.nn.functional.batch_norm( - input_3, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_3 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - x_36 += input_4 - x_37 = x_36 - x_36 = input_4 = None - x_38 = torch.nn.functional.relu(x_37, inplace=True) - x_37 = None - x_39 = torch.conv2d( - x_38, - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None - x_40 = torch.nn.functional.batch_norm( - x_39, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_39 = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None - x_41 = torch.nn.functional.relu(x_40, inplace=True) - x_40 = None - x_42 = torch.conv2d( - x_41, - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_41 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None - x_43 = torch.nn.functional.batch_norm( - x_42, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_42 = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None - x_43 += x_38 - x_44 = x_43 - x_43 = x_38 = None - x_45 = torch.nn.functional.relu(x_44, inplace=True) - x_44 = None - x_46 = torch.conv2d( - x_45, - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None - x_47 = torch.nn.functional.batch_norm( - x_46, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_46 = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None - x_48 = torch.nn.functional.relu(x_47, inplace=True) - x_47 = None - x_49 = torch.conv2d( - x_48, - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_48 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None - x_50 = torch.nn.functional.batch_norm( - x_49, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_49 = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None - input_5 = torch.conv2d( - x_45, - l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_45 = l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_6 = torch.nn.functional.batch_norm( - input_5, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_5 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - x_50 += input_6 - x_51 = x_50 - x_50 = input_6 = None - x_52 = torch.nn.functional.relu(x_51, inplace=True) - x_51 = None - x_53 = torch.conv2d( - x_52, - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None - x_54 = torch.nn.functional.batch_norm( - x_53, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_53 = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None - x_55 = torch.nn.functional.relu(x_54, inplace=True) - x_54 = None - x_56 = torch.conv2d( - x_55, - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - x_55 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None - x_57 = torch.nn.functional.batch_norm( - x_56, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x_56 = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None - x_57 += x_52 - x_58 = x_57 - x_57 = x_52 = None - x_59 = torch.nn.functional.relu(x_58, inplace=True) - x_58 = None - x_60 = torch.nn.functional.adaptive_avg_pool2d(x_59, 1) - x_59 = None - x_61 = x_60.flatten(1, -1) - x_60 = None - x_62 = torch._C._nn.linear( - x_61, - l_self_modules_fc_parameters_weight_, - l_self_modules_fc_parameters_bias_, - ) - x_61 = ( - l_self_modules_fc_parameters_weight_ - ) = l_self_modules_fc_parameters_bias_ = None - return (x_62,) diff --git a/samples/timm/resnet18.a1_in1k/weight_meta.py b/samples/timm/resnet18.a1_in1k/weight_meta.py deleted file mode 100644 index c67a0d570..000000000 --- a/samples/timm/resnet18.a1_in1k/weight_meta.py +++ /dev/null @@ -1,1044 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_conv1_parameters_weight_: - name = "L_self_modules_conv1_parameters_weight_" - shape = [64, 3, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.227 - std = 1.287 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_: - name = "L_self_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_: - name = "L_self_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_: - name = "L_self_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_: - name = "L_self_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_" - shape = [64, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_" - shape = [64, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_" - shape = [64, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_" - shape = [64, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_" - shape = [128, 64, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [128, 64, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.125 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_" - shape = [256, 128, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [256, 128, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_" - shape = [512, 256, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [1000, 512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: - name = "L_self_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.025 - data = None diff --git a/samples/torchaudio/wav2vec2_base/graph_hash.txt b/samples/torchaudio/wav2vec2_base/graph_hash.txt deleted file mode 100644 index d100573bf..000000000 --- a/samples/torchaudio/wav2vec2_base/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -9160c65c3f9377046749baea170c888c9e7f4319601b657980f4438d7a15c0b2 \ No newline at end of file diff --git a/samples/torchaudio/wav2vec2_base/graph_net.json b/samples/torchaudio/wav2vec2_base/graph_net.json deleted file mode 100644 index d78ef8c2a..000000000 --- a/samples/torchaudio/wav2vec2_base/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "torchaudio", - "heuristic_tag": "audio" -} \ No newline at end of file diff --git a/samples/torchaudio/wav2vec2_base/input_meta.py b/samples/torchaudio/wav2vec2_base/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/torchaudio/wav2vec2_base/input_tensor_constraints.py b/samples/torchaudio/wav2vec2_base/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/torchaudio/wav2vec2_base/model.py b/samples/torchaudio/wav2vec2_base/model.py deleted file mode 100644 index 77f17c4ba..000000000 --- a/samples/torchaudio/wav2vec2_base/model.py +++ /dev/null @@ -1,1587 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_waveforms_: torch.Tensor, - L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_feature_extractor_modules_conv_layers_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_feature_extractor_modules_conv_layers_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_feature_extractor_modules_conv_layers_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_feature_extractor_modules_conv_layers_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_feature_extractor_modules_conv_layers_modules_5_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_feature_extractor_modules_conv_layers_modules_6_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_feature_projection_modules_projection_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_feature_projection_modules_projection_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original0_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original1_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_waveforms_ = L_waveforms_ - l_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_conv_parameters_weight_ = L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_conv_parameters_weight_ - l_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_weight_ = L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_weight_ - l_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_bias_ = L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_bias_ - l_self_modules_feature_extractor_modules_conv_layers_modules_1_modules_conv_parameters_weight_ = L_self_modules_feature_extractor_modules_conv_layers_modules_1_modules_conv_parameters_weight_ - l_self_modules_feature_extractor_modules_conv_layers_modules_2_modules_conv_parameters_weight_ = L_self_modules_feature_extractor_modules_conv_layers_modules_2_modules_conv_parameters_weight_ - l_self_modules_feature_extractor_modules_conv_layers_modules_3_modules_conv_parameters_weight_ = L_self_modules_feature_extractor_modules_conv_layers_modules_3_modules_conv_parameters_weight_ - l_self_modules_feature_extractor_modules_conv_layers_modules_4_modules_conv_parameters_weight_ = L_self_modules_feature_extractor_modules_conv_layers_modules_4_modules_conv_parameters_weight_ - l_self_modules_feature_extractor_modules_conv_layers_modules_5_modules_conv_parameters_weight_ = L_self_modules_feature_extractor_modules_conv_layers_modules_5_modules_conv_parameters_weight_ - l_self_modules_feature_extractor_modules_conv_layers_modules_6_modules_conv_parameters_weight_ = L_self_modules_feature_extractor_modules_conv_layers_modules_6_modules_conv_parameters_weight_ - l_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_feature_projection_modules_projection_parameters_weight_ = L_self_modules_encoder_modules_feature_projection_modules_projection_parameters_weight_ - l_self_modules_encoder_modules_feature_projection_modules_projection_parameters_bias_ = L_self_modules_encoder_modules_feature_projection_modules_projection_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original0_ = L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original0_ - l_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original1_ = L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original1_ - l_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_bias_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_weight_ - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_bias_ - x = l_waveforms_.unsqueeze(1) - l_waveforms_ = None - x_1 = torch.conv1d( - x, - l_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_conv_parameters_weight_, - None, - (5,), - (0,), - (1,), - 1, - ) - x = l_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_conv_parameters_weight_ = (None) - x_2 = torch.nn.functional.group_norm( - x_1, - 512, - l_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_weight_, - l_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_1 = l_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_weight_ = l_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_bias_ = (None) - x_3 = torch._C._nn.gelu(x_2) - x_2 = None - x_4 = torch.conv1d( - x_3, - l_self_modules_feature_extractor_modules_conv_layers_modules_1_modules_conv_parameters_weight_, - None, - (2,), - (0,), - (1,), - 1, - ) - x_3 = l_self_modules_feature_extractor_modules_conv_layers_modules_1_modules_conv_parameters_weight_ = (None) - x_5 = torch._C._nn.gelu(x_4) - x_4 = None - x_6 = torch.conv1d( - x_5, - l_self_modules_feature_extractor_modules_conv_layers_modules_2_modules_conv_parameters_weight_, - None, - (2,), - (0,), - (1,), - 1, - ) - x_5 = l_self_modules_feature_extractor_modules_conv_layers_modules_2_modules_conv_parameters_weight_ = (None) - x_7 = torch._C._nn.gelu(x_6) - x_6 = None - x_8 = torch.conv1d( - x_7, - l_self_modules_feature_extractor_modules_conv_layers_modules_3_modules_conv_parameters_weight_, - None, - (2,), - (0,), - (1,), - 1, - ) - x_7 = l_self_modules_feature_extractor_modules_conv_layers_modules_3_modules_conv_parameters_weight_ = (None) - x_9 = torch._C._nn.gelu(x_8) - x_8 = None - x_10 = torch.conv1d( - x_9, - l_self_modules_feature_extractor_modules_conv_layers_modules_4_modules_conv_parameters_weight_, - None, - (2,), - (0,), - (1,), - 1, - ) - x_9 = l_self_modules_feature_extractor_modules_conv_layers_modules_4_modules_conv_parameters_weight_ = (None) - x_11 = torch._C._nn.gelu(x_10) - x_10 = None - x_12 = torch.conv1d( - x_11, - l_self_modules_feature_extractor_modules_conv_layers_modules_5_modules_conv_parameters_weight_, - None, - (2,), - (0,), - (1,), - 1, - ) - x_11 = l_self_modules_feature_extractor_modules_conv_layers_modules_5_modules_conv_parameters_weight_ = (None) - x_13 = torch._C._nn.gelu(x_12) - x_12 = None - x_14 = torch.conv1d( - x_13, - l_self_modules_feature_extractor_modules_conv_layers_modules_6_modules_conv_parameters_weight_, - None, - (2,), - (0,), - (1,), - 1, - ) - x_13 = l_self_modules_feature_extractor_modules_conv_layers_modules_6_modules_conv_parameters_weight_ = (None) - x_15 = torch._C._nn.gelu(x_14) - x_14 = None - x_16 = x_15.transpose(1, 2) - x_15 = None - x_17 = torch.nn.functional.layer_norm( - x_16, - (512,), - l_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_16 = l_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_bias_ = (None) - x_18 = torch._C._nn.linear( - x_17, - l_self_modules_encoder_modules_feature_projection_modules_projection_parameters_weight_, - l_self_modules_encoder_modules_feature_projection_modules_projection_parameters_bias_, - ) - x_17 = l_self_modules_encoder_modules_feature_projection_modules_projection_parameters_weight_ = l_self_modules_encoder_modules_feature_projection_modules_projection_parameters_bias_ = (None) - x_19 = torch.nn.functional.dropout(x_18, 0.1, False, False) - x_18 = None - x_20 = x_19.transpose(-2, -1) - x_21 = torch._weight_norm( - l_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original1_, - l_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original0_, - 2, - ) - l_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original1_ = l_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original0_ = (None) - x_22 = torch.conv1d( - x_20, - x_21, - l_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_parameters_bias_, - (1,), - (64,), - (1,), - 16, - ) - x_20 = ( - x_21 - ) = l_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_parameters_bias_ = (None) - x_23 = x_22[(Ellipsis, slice(None, -1, None))] - x_22 = None - x_24 = torch._C._nn.gelu(x_23) - x_23 = None - x_25 = x_24.transpose(-2, -1) - x_24 = None - x_26 = x_19 + x_25 - x_19 = x_25 = None - x_27 = torch.nn.functional.layer_norm( - x_26, - (768,), - l_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_26 = l_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_bias_ = (None) - x_28 = torch.nn.functional.dropout(x_27, 0.1, False, False) - x_27 = None - linear_1 = torch._C._nn.linear( - x_28, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_bias_ = (None) - view = linear_1.view(1, 249, 12, 64) - linear_1 = None - q = view.transpose(2, 1) - view = None - linear_2 = torch._C._nn.linear( - x_28, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_1 = linear_2.view(1, 249, 12, 64) - linear_2 = None - k = view_1.transpose(2, 1) - view_1 = None - linear_3 = torch._C._nn.linear( - x_28, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_2 = linear_3.view(1, 249, 12, 64) - linear_3 = None - v = view_2.transpose(2, 1) - view_2 = None - attn_output = torch._C._nn.scaled_dot_product_attention( - q, k, v, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q = k = v = None - transpose_6 = attn_output.transpose(1, 2) - attn_output = None - attn_output_1 = transpose_6.reshape(1, -1, 768) - transpose_6 = None - output = torch._C._nn.linear( - attn_output_1, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_1 = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_29 = torch.nn.functional.dropout(output, 0.1, False, False) - output = None - x_30 = x_28 + x_29 - x_28 = x_29 = None - x_31 = torch.nn.functional.layer_norm( - x_30, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_30 = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_bias_ = (None) - x_32 = torch._C._nn.linear( - x_31, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_33 = torch._C._nn.gelu(x_32) - x_32 = None - x_34 = torch.nn.functional.dropout(x_33, 0.0, False, False) - x_33 = None - x_35 = torch._C._nn.linear( - x_34, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_34 = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_36 = torch.nn.functional.dropout(x_35, 0.1, False, False) - x_35 = None - add_2 = x_31 + x_36 - x_31 = x_36 = None - x_37 = torch.nn.functional.layer_norm( - add_2, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_2 = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_bias_ = (None) - linear_7 = torch._C._nn.linear( - x_37, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_3 = linear_7.view(1, 249, 12, 64) - linear_7 = None - q_1 = view_3.transpose(2, 1) - view_3 = None - linear_8 = torch._C._nn.linear( - x_37, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_4 = linear_8.view(1, 249, 12, 64) - linear_8 = None - k_1 = view_4.transpose(2, 1) - view_4 = None - linear_9 = torch._C._nn.linear( - x_37, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_5 = linear_9.view(1, 249, 12, 64) - linear_9 = None - v_1 = view_5.transpose(2, 1) - view_5 = None - attn_output_2 = torch._C._nn.scaled_dot_product_attention( - q_1, k_1, v_1, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_1 = k_1 = v_1 = None - transpose_10 = attn_output_2.transpose(1, 2) - attn_output_2 = None - attn_output_3 = transpose_10.reshape(1, -1, 768) - transpose_10 = None - output_1 = torch._C._nn.linear( - attn_output_3, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_3 = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_38 = torch.nn.functional.dropout(output_1, 0.1, False, False) - output_1 = None - x_39 = x_37 + x_38 - x_37 = x_38 = None - x_40 = torch.nn.functional.layer_norm( - x_39, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_39 = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_bias_ = (None) - x_41 = torch._C._nn.linear( - x_40, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_42 = torch._C._nn.gelu(x_41) - x_41 = None - x_43 = torch.nn.functional.dropout(x_42, 0.0, False, False) - x_42 = None - x_44 = torch._C._nn.linear( - x_43, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_43 = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_45 = torch.nn.functional.dropout(x_44, 0.1, False, False) - x_44 = None - add_4 = x_40 + x_45 - x_40 = x_45 = None - x_46 = torch.nn.functional.layer_norm( - add_4, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_4 = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_bias_ = (None) - linear_13 = torch._C._nn.linear( - x_46, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_6 = linear_13.view(1, 249, 12, 64) - linear_13 = None - q_2 = view_6.transpose(2, 1) - view_6 = None - linear_14 = torch._C._nn.linear( - x_46, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_7 = linear_14.view(1, 249, 12, 64) - linear_14 = None - k_2 = view_7.transpose(2, 1) - view_7 = None - linear_15 = torch._C._nn.linear( - x_46, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_8 = linear_15.view(1, 249, 12, 64) - linear_15 = None - v_2 = view_8.transpose(2, 1) - view_8 = None - attn_output_4 = torch._C._nn.scaled_dot_product_attention( - q_2, k_2, v_2, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_2 = k_2 = v_2 = None - transpose_14 = attn_output_4.transpose(1, 2) - attn_output_4 = None - attn_output_5 = transpose_14.reshape(1, -1, 768) - transpose_14 = None - output_2 = torch._C._nn.linear( - attn_output_5, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_5 = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_47 = torch.nn.functional.dropout(output_2, 0.1, False, False) - output_2 = None - x_48 = x_46 + x_47 - x_46 = x_47 = None - x_49 = torch.nn.functional.layer_norm( - x_48, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_48 = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_bias_ = (None) - x_50 = torch._C._nn.linear( - x_49, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_51 = torch._C._nn.gelu(x_50) - x_50 = None - x_52 = torch.nn.functional.dropout(x_51, 0.0, False, False) - x_51 = None - x_53 = torch._C._nn.linear( - x_52, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_52 = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_54 = torch.nn.functional.dropout(x_53, 0.1, False, False) - x_53 = None - add_6 = x_49 + x_54 - x_49 = x_54 = None - x_55 = torch.nn.functional.layer_norm( - add_6, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_6 = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_bias_ = (None) - linear_19 = torch._C._nn.linear( - x_55, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_9 = linear_19.view(1, 249, 12, 64) - linear_19 = None - q_3 = view_9.transpose(2, 1) - view_9 = None - linear_20 = torch._C._nn.linear( - x_55, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_10 = linear_20.view(1, 249, 12, 64) - linear_20 = None - k_3 = view_10.transpose(2, 1) - view_10 = None - linear_21 = torch._C._nn.linear( - x_55, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_11 = linear_21.view(1, 249, 12, 64) - linear_21 = None - v_3 = view_11.transpose(2, 1) - view_11 = None - attn_output_6 = torch._C._nn.scaled_dot_product_attention( - q_3, k_3, v_3, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_3 = k_3 = v_3 = None - transpose_18 = attn_output_6.transpose(1, 2) - attn_output_6 = None - attn_output_7 = transpose_18.reshape(1, -1, 768) - transpose_18 = None - output_3 = torch._C._nn.linear( - attn_output_7, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_7 = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_56 = torch.nn.functional.dropout(output_3, 0.1, False, False) - output_3 = None - x_57 = x_55 + x_56 - x_55 = x_56 = None - x_58 = torch.nn.functional.layer_norm( - x_57, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_57 = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_bias_ = (None) - x_59 = torch._C._nn.linear( - x_58, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_60 = torch._C._nn.gelu(x_59) - x_59 = None - x_61 = torch.nn.functional.dropout(x_60, 0.0, False, False) - x_60 = None - x_62 = torch._C._nn.linear( - x_61, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_61 = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_63 = torch.nn.functional.dropout(x_62, 0.1, False, False) - x_62 = None - add_8 = x_58 + x_63 - x_58 = x_63 = None - x_64 = torch.nn.functional.layer_norm( - add_8, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_8 = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_bias_ = (None) - linear_25 = torch._C._nn.linear( - x_64, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_12 = linear_25.view(1, 249, 12, 64) - linear_25 = None - q_4 = view_12.transpose(2, 1) - view_12 = None - linear_26 = torch._C._nn.linear( - x_64, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_13 = linear_26.view(1, 249, 12, 64) - linear_26 = None - k_4 = view_13.transpose(2, 1) - view_13 = None - linear_27 = torch._C._nn.linear( - x_64, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_14 = linear_27.view(1, 249, 12, 64) - linear_27 = None - v_4 = view_14.transpose(2, 1) - view_14 = None - attn_output_8 = torch._C._nn.scaled_dot_product_attention( - q_4, k_4, v_4, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_4 = k_4 = v_4 = None - transpose_22 = attn_output_8.transpose(1, 2) - attn_output_8 = None - attn_output_9 = transpose_22.reshape(1, -1, 768) - transpose_22 = None - output_4 = torch._C._nn.linear( - attn_output_9, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_9 = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_65 = torch.nn.functional.dropout(output_4, 0.1, False, False) - output_4 = None - x_66 = x_64 + x_65 - x_64 = x_65 = None - x_67 = torch.nn.functional.layer_norm( - x_66, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_66 = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_bias_ = (None) - x_68 = torch._C._nn.linear( - x_67, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_69 = torch._C._nn.gelu(x_68) - x_68 = None - x_70 = torch.nn.functional.dropout(x_69, 0.0, False, False) - x_69 = None - x_71 = torch._C._nn.linear( - x_70, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_70 = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_72 = torch.nn.functional.dropout(x_71, 0.1, False, False) - x_71 = None - add_10 = x_67 + x_72 - x_67 = x_72 = None - x_73 = torch.nn.functional.layer_norm( - add_10, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_10 = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_bias_ = (None) - linear_31 = torch._C._nn.linear( - x_73, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_15 = linear_31.view(1, 249, 12, 64) - linear_31 = None - q_5 = view_15.transpose(2, 1) - view_15 = None - linear_32 = torch._C._nn.linear( - x_73, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_16 = linear_32.view(1, 249, 12, 64) - linear_32 = None - k_5 = view_16.transpose(2, 1) - view_16 = None - linear_33 = torch._C._nn.linear( - x_73, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_17 = linear_33.view(1, 249, 12, 64) - linear_33 = None - v_5 = view_17.transpose(2, 1) - view_17 = None - attn_output_10 = torch._C._nn.scaled_dot_product_attention( - q_5, k_5, v_5, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_5 = k_5 = v_5 = None - transpose_26 = attn_output_10.transpose(1, 2) - attn_output_10 = None - attn_output_11 = transpose_26.reshape(1, -1, 768) - transpose_26 = None - output_5 = torch._C._nn.linear( - attn_output_11, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_11 = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_74 = torch.nn.functional.dropout(output_5, 0.1, False, False) - output_5 = None - x_75 = x_73 + x_74 - x_73 = x_74 = None - x_76 = torch.nn.functional.layer_norm( - x_75, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_75 = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_bias_ = (None) - x_77 = torch._C._nn.linear( - x_76, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_78 = torch._C._nn.gelu(x_77) - x_77 = None - x_79 = torch.nn.functional.dropout(x_78, 0.0, False, False) - x_78 = None - x_80 = torch._C._nn.linear( - x_79, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_79 = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_81 = torch.nn.functional.dropout(x_80, 0.1, False, False) - x_80 = None - add_12 = x_76 + x_81 - x_76 = x_81 = None - x_82 = torch.nn.functional.layer_norm( - add_12, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_12 = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_bias_ = (None) - linear_37 = torch._C._nn.linear( - x_82, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_18 = linear_37.view(1, 249, 12, 64) - linear_37 = None - q_6 = view_18.transpose(2, 1) - view_18 = None - linear_38 = torch._C._nn.linear( - x_82, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_19 = linear_38.view(1, 249, 12, 64) - linear_38 = None - k_6 = view_19.transpose(2, 1) - view_19 = None - linear_39 = torch._C._nn.linear( - x_82, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_20 = linear_39.view(1, 249, 12, 64) - linear_39 = None - v_6 = view_20.transpose(2, 1) - view_20 = None - attn_output_12 = torch._C._nn.scaled_dot_product_attention( - q_6, k_6, v_6, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_6 = k_6 = v_6 = None - transpose_30 = attn_output_12.transpose(1, 2) - attn_output_12 = None - attn_output_13 = transpose_30.reshape(1, -1, 768) - transpose_30 = None - output_6 = torch._C._nn.linear( - attn_output_13, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_13 = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_83 = torch.nn.functional.dropout(output_6, 0.1, False, False) - output_6 = None - x_84 = x_82 + x_83 - x_82 = x_83 = None - x_85 = torch.nn.functional.layer_norm( - x_84, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_84 = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_bias_ = (None) - x_86 = torch._C._nn.linear( - x_85, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_87 = torch._C._nn.gelu(x_86) - x_86 = None - x_88 = torch.nn.functional.dropout(x_87, 0.0, False, False) - x_87 = None - x_89 = torch._C._nn.linear( - x_88, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_88 = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_90 = torch.nn.functional.dropout(x_89, 0.1, False, False) - x_89 = None - add_14 = x_85 + x_90 - x_85 = x_90 = None - x_91 = torch.nn.functional.layer_norm( - add_14, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_14 = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_bias_ = (None) - linear_43 = torch._C._nn.linear( - x_91, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_21 = linear_43.view(1, 249, 12, 64) - linear_43 = None - q_7 = view_21.transpose(2, 1) - view_21 = None - linear_44 = torch._C._nn.linear( - x_91, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_22 = linear_44.view(1, 249, 12, 64) - linear_44 = None - k_7 = view_22.transpose(2, 1) - view_22 = None - linear_45 = torch._C._nn.linear( - x_91, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_23 = linear_45.view(1, 249, 12, 64) - linear_45 = None - v_7 = view_23.transpose(2, 1) - view_23 = None - attn_output_14 = torch._C._nn.scaled_dot_product_attention( - q_7, k_7, v_7, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_7 = k_7 = v_7 = None - transpose_34 = attn_output_14.transpose(1, 2) - attn_output_14 = None - attn_output_15 = transpose_34.reshape(1, -1, 768) - transpose_34 = None - output_7 = torch._C._nn.linear( - attn_output_15, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_15 = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_92 = torch.nn.functional.dropout(output_7, 0.1, False, False) - output_7 = None - x_93 = x_91 + x_92 - x_91 = x_92 = None - x_94 = torch.nn.functional.layer_norm( - x_93, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_93 = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_bias_ = (None) - x_95 = torch._C._nn.linear( - x_94, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_96 = torch._C._nn.gelu(x_95) - x_95 = None - x_97 = torch.nn.functional.dropout(x_96, 0.0, False, False) - x_96 = None - x_98 = torch._C._nn.linear( - x_97, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_97 = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_99 = torch.nn.functional.dropout(x_98, 0.1, False, False) - x_98 = None - add_16 = x_94 + x_99 - x_94 = x_99 = None - x_100 = torch.nn.functional.layer_norm( - add_16, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_16 = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_bias_ = (None) - linear_49 = torch._C._nn.linear( - x_100, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_24 = linear_49.view(1, 249, 12, 64) - linear_49 = None - q_8 = view_24.transpose(2, 1) - view_24 = None - linear_50 = torch._C._nn.linear( - x_100, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_25 = linear_50.view(1, 249, 12, 64) - linear_50 = None - k_8 = view_25.transpose(2, 1) - view_25 = None - linear_51 = torch._C._nn.linear( - x_100, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_26 = linear_51.view(1, 249, 12, 64) - linear_51 = None - v_8 = view_26.transpose(2, 1) - view_26 = None - attn_output_16 = torch._C._nn.scaled_dot_product_attention( - q_8, k_8, v_8, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_8 = k_8 = v_8 = None - transpose_38 = attn_output_16.transpose(1, 2) - attn_output_16 = None - attn_output_17 = transpose_38.reshape(1, -1, 768) - transpose_38 = None - output_8 = torch._C._nn.linear( - attn_output_17, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_17 = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_101 = torch.nn.functional.dropout(output_8, 0.1, False, False) - output_8 = None - x_102 = x_100 + x_101 - x_100 = x_101 = None - x_103 = torch.nn.functional.layer_norm( - x_102, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_102 = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_bias_ = (None) - x_104 = torch._C._nn.linear( - x_103, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_105 = torch._C._nn.gelu(x_104) - x_104 = None - x_106 = torch.nn.functional.dropout(x_105, 0.0, False, False) - x_105 = None - x_107 = torch._C._nn.linear( - x_106, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_106 = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_108 = torch.nn.functional.dropout(x_107, 0.1, False, False) - x_107 = None - add_18 = x_103 + x_108 - x_103 = x_108 = None - x_109 = torch.nn.functional.layer_norm( - add_18, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_18 = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_bias_ = (None) - linear_55 = torch._C._nn.linear( - x_109, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_27 = linear_55.view(1, 249, 12, 64) - linear_55 = None - q_9 = view_27.transpose(2, 1) - view_27 = None - linear_56 = torch._C._nn.linear( - x_109, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_28 = linear_56.view(1, 249, 12, 64) - linear_56 = None - k_9 = view_28.transpose(2, 1) - view_28 = None - linear_57 = torch._C._nn.linear( - x_109, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_29 = linear_57.view(1, 249, 12, 64) - linear_57 = None - v_9 = view_29.transpose(2, 1) - view_29 = None - attn_output_18 = torch._C._nn.scaled_dot_product_attention( - q_9, k_9, v_9, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_9 = k_9 = v_9 = None - transpose_42 = attn_output_18.transpose(1, 2) - attn_output_18 = None - attn_output_19 = transpose_42.reshape(1, -1, 768) - transpose_42 = None - output_9 = torch._C._nn.linear( - attn_output_19, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_19 = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_110 = torch.nn.functional.dropout(output_9, 0.1, False, False) - output_9 = None - x_111 = x_109 + x_110 - x_109 = x_110 = None - x_112 = torch.nn.functional.layer_norm( - x_111, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_111 = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_bias_ = (None) - x_113 = torch._C._nn.linear( - x_112, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_114 = torch._C._nn.gelu(x_113) - x_113 = None - x_115 = torch.nn.functional.dropout(x_114, 0.0, False, False) - x_114 = None - x_116 = torch._C._nn.linear( - x_115, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_115 = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_117 = torch.nn.functional.dropout(x_116, 0.1, False, False) - x_116 = None - add_20 = x_112 + x_117 - x_112 = x_117 = None - x_118 = torch.nn.functional.layer_norm( - add_20, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_20 = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_bias_ = (None) - linear_61 = torch._C._nn.linear( - x_118, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_30 = linear_61.view(1, 249, 12, 64) - linear_61 = None - q_10 = view_30.transpose(2, 1) - view_30 = None - linear_62 = torch._C._nn.linear( - x_118, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_31 = linear_62.view(1, 249, 12, 64) - linear_62 = None - k_10 = view_31.transpose(2, 1) - view_31 = None - linear_63 = torch._C._nn.linear( - x_118, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_32 = linear_63.view(1, 249, 12, 64) - linear_63 = None - v_10 = view_32.transpose(2, 1) - view_32 = None - attn_output_20 = torch._C._nn.scaled_dot_product_attention( - q_10, k_10, v_10, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_10 = k_10 = v_10 = None - transpose_46 = attn_output_20.transpose(1, 2) - attn_output_20 = None - attn_output_21 = transpose_46.reshape(1, -1, 768) - transpose_46 = None - output_10 = torch._C._nn.linear( - attn_output_21, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_21 = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_119 = torch.nn.functional.dropout(output_10, 0.1, False, False) - output_10 = None - x_120 = x_118 + x_119 - x_118 = x_119 = None - x_121 = torch.nn.functional.layer_norm( - x_120, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_120 = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_bias_ = (None) - x_122 = torch._C._nn.linear( - x_121, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_123 = torch._C._nn.gelu(x_122) - x_122 = None - x_124 = torch.nn.functional.dropout(x_123, 0.0, False, False) - x_123 = None - x_125 = torch._C._nn.linear( - x_124, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_124 = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_126 = torch.nn.functional.dropout(x_125, 0.1, False, False) - x_125 = None - add_22 = x_121 + x_126 - x_121 = x_126 = None - x_127 = torch.nn.functional.layer_norm( - add_22, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_22 = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_bias_ = (None) - linear_67 = torch._C._nn.linear( - x_127, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_bias_ = (None) - view_33 = linear_67.view(1, 249, 12, 64) - linear_67 = None - q_11 = view_33.transpose(2, 1) - view_33 = None - linear_68 = torch._C._nn.linear( - x_127, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_bias_ = (None) - view_34 = linear_68.view(1, 249, 12, 64) - linear_68 = None - k_11 = view_34.transpose(2, 1) - view_34 = None - linear_69 = torch._C._nn.linear( - x_127, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_bias_ = (None) - view_35 = linear_69.view(1, 249, 12, 64) - linear_69 = None - v_11 = view_35.transpose(2, 1) - view_35 = None - attn_output_22 = torch._C._nn.scaled_dot_product_attention( - q_11, k_11, v_11, attn_mask=None, dropout_p=0.0, is_causal=False - ) - q_11 = k_11 = v_11 = None - transpose_50 = attn_output_22.transpose(1, 2) - attn_output_22 = None - attn_output_23 = transpose_50.reshape(1, -1, 768) - transpose_50 = None - output_11 = torch._C._nn.linear( - attn_output_23, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_bias_, - ) - attn_output_23 = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_bias_ = (None) - x_128 = torch.nn.functional.dropout(output_11, 0.1, False, False) - output_11 = None - x_129 = x_127 + x_128 - x_127 = x_128 = None - x_130 = torch.nn.functional.layer_norm( - x_129, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_bias_, - 1e-05, - ) - x_129 = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_bias_ = (None) - x_131 = torch._C._nn.linear( - x_130, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_bias_ = (None) - x_132 = torch._C._nn.gelu(x_131) - x_131 = None - x_133 = torch.nn.functional.dropout(x_132, 0.0, False, False) - x_132 = None - x_134 = torch._C._nn.linear( - x_133, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_bias_, - ) - x_133 = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_bias_ = (None) - x_135 = torch.nn.functional.dropout(x_134, 0.1, False, False) - x_134 = None - add_24 = x_130 + x_135 - x_130 = x_135 = None - x_136 = torch.nn.functional.layer_norm( - add_24, - (768,), - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_bias_, - 1e-05, - ) - add_24 = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_bias_ = (None) - return (x_136,) diff --git a/samples/torchaudio/wav2vec2_base/weight_meta.py b/samples/torchaudio/wav2vec2_base/weight_meta.py deleted file mode 100644 index 6b1feb936..000000000 --- a/samples/torchaudio/wav2vec2_base/weight_meta.py +++ /dev/null @@ -1,2110 +0,0 @@ -class Program_weight_tensor_meta_L_waveforms_: - name = "L_waveforms_" - shape = [1, 80000] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 1.003 - data = None - - -class Program_weight_tensor_meta_L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_conv_parameters_weight_: - name = "L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_conv_parameters_weight_" - shape = [512, 1, 10] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.180 - data = None - - -class Program_weight_tensor_meta_L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_weight_: - name = "L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.489 - std = 0.575 - data = None - - -class Program_weight_tensor_meta_L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_bias_: - name = "L_self_modules_feature_extractor_modules_conv_layers_modules_0_modules_layer_norm_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.003 - data = None - - -class Program_weight_tensor_meta_L_self_modules_feature_extractor_modules_conv_layers_modules_1_modules_conv_parameters_weight_: - name = "L_self_modules_feature_extractor_modules_conv_layers_modules_1_modules_conv_parameters_weight_" - shape = [512, 512, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.014 - std = 0.095 - data = None - - -class Program_weight_tensor_meta_L_self_modules_feature_extractor_modules_conv_layers_modules_2_modules_conv_parameters_weight_: - name = "L_self_modules_feature_extractor_modules_conv_layers_modules_2_modules_conv_parameters_weight_" - shape = [512, 512, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.087 - data = None - - -class Program_weight_tensor_meta_L_self_modules_feature_extractor_modules_conv_layers_modules_3_modules_conv_parameters_weight_: - name = "L_self_modules_feature_extractor_modules_conv_layers_modules_3_modules_conv_parameters_weight_" - shape = [512, 512, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.071 - data = None - - -class Program_weight_tensor_meta_L_self_modules_feature_extractor_modules_conv_layers_modules_4_modules_conv_parameters_weight_: - name = "L_self_modules_feature_extractor_modules_conv_layers_modules_4_modules_conv_parameters_weight_" - shape = [512, 512, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_feature_extractor_modules_conv_layers_modules_5_modules_conv_parameters_weight_: - name = "L_self_modules_feature_extractor_modules_conv_layers_modules_5_modules_conv_parameters_weight_" - shape = [512, 512, 2] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.041 - data = None - - -class Program_weight_tensor_meta_L_self_modules_feature_extractor_modules_conv_layers_modules_6_modules_conv_parameters_weight_: - name = "L_self_modules_feature_extractor_modules_conv_layers_modules_6_modules_conv_parameters_weight_" - shape = [512, 512, 2] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.369 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_feature_projection_modules_layer_norm_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.012 - std = 0.086 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_feature_projection_modules_projection_parameters_weight_: - name = "L_self_modules_encoder_modules_feature_projection_modules_projection_parameters_weight_" - shape = [768, 512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.090 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_feature_projection_modules_projection_parameters_bias_: - name = "L_self_modules_encoder_modules_feature_projection_modules_projection_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.027 - std = 0.145 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original0_: - name = "L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original0_" - shape = [1, 1, 128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.542 - std = 1.357 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original1_: - name = "L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_modules_parametrizations_modules_weight_parameters_original1_" - shape = [768, 48, 128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.012 - std = 0.072 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_pos_conv_embed_modules_conv_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.204 - std = 0.113 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.306 - std = 0.079 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_bias_: - name = ( - "L_self_modules_encoder_modules_transformer_modules_layer_norm_parameters_bias_" - ) - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.006 - std = 0.061 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.079 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.004 - std = 0.212 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.078 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.001 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.040 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.011 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.004 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.250 - std = 0.086 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.004 - std = 0.101 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.083 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.078 - std = 0.038 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.075 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.057 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.289 - std = 0.081 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_0_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.041 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.090 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.006 - std = 0.225 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.091 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.043 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.043 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.010 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.307 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.016 - std = 0.174 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.077 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.058 - std = 0.027 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.041 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.285 - std = 0.081 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_1_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.087 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.002 - std = 0.201 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.087 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.050 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.050 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.009 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.305 - std = 0.119 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.014 - std = 0.180 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.083 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.048 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.072 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.289 - std = 0.105 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_2_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.203 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.055 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.056 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.305 - std = 0.131 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.015 - std = 0.190 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.084 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.044 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.073 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.033 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.281 - std = 0.111 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_3_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.091 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.231 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.066 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.060 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.313 - std = 0.167 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.014 - std = 0.184 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.086 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.042 - std = 0.028 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.077 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.036 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.278 - std = 0.097 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_4_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.006 - std = 0.058 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.091 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.005 - std = 0.216 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.091 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.040 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.056 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.057 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.370 - std = 0.141 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.005 - std = 0.213 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.041 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.081 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.285 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_5_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.009 - std = 0.068 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.093 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.004 - std = 0.229 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.093 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.004 - std = 0.057 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.057 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.058 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.418 - std = 0.154 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.007 - std = 0.231 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.096 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.046 - std = 0.036 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.086 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.050 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.297 - std = 0.081 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_6_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.010 - std = 0.073 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.095 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.010 - std = 0.249 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.096 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.003 - std = 0.099 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.064 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.032 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.064 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.439 - std = 0.154 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.006 - std = 0.222 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.094 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.051 - std = 0.041 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.087 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.002 - std = 0.063 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.302 - std = 0.078 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_7_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.007 - std = 0.081 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.098 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.006 - std = 0.294 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.099 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.149 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.062 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.358 - std = 0.132 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.004 - std = 0.176 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.090 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.055 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.079 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.003 - std = 0.080 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.294 - std = 0.087 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_8_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.076 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.090 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.009 - std = 0.285 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.090 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.102 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.058 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.040 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.057 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.052 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.270 - std = 0.104 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.010 - std = 0.116 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.082 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.064 - std = 0.055 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.071 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.002 - std = 0.060 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.295 - std = 0.080 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_9_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.059 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.087 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.274 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.086 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.005 - std = 0.218 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.056 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.002 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.057 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.071 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.270 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.009 - std = 0.103 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.072 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.071 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.058 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.051 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.284 - std = 0.070 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_10_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.048 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_q_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.003 - std = 0.224 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_k_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.175 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.054 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_v_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.040 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_weight_" - shape = [768, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.054 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_attention_modules_out_proj_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.052 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.350 - std = 0.099 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.020 - std = 0.120 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_weight_" - shape = [3072, 768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.057 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_intermediate_dense_parameters_bias_" - shape = [3072] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.100 - std = 0.081 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_weight_" - shape = [768, 3072] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_feed_forward_modules_output_dense_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_weight_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_weight_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.316 - std = 0.113 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_bias_: - name = "L_self_modules_encoder_modules_transformer_modules_layers_modules_11_modules_final_layer_norm_parameters_bias_" - shape = [768] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.056 - data = None diff --git a/samples/torchvision/wide_resnet101_2/graph_hash.txt b/samples/torchvision/wide_resnet101_2/graph_hash.txt deleted file mode 100644 index 220117ee6..000000000 --- a/samples/torchvision/wide_resnet101_2/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -22b59c265c3bb922439d4226a1126847188787443aee4acdf348869ef049ca36 \ No newline at end of file diff --git a/samples/torchvision/wide_resnet101_2/graph_net.json b/samples/torchvision/wide_resnet101_2/graph_net.json deleted file mode 100644 index 57db397d4..000000000 --- a/samples/torchvision/wide_resnet101_2/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "torchvision", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/torchvision/wide_resnet101_2/input_meta.py b/samples/torchvision/wide_resnet101_2/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/torchvision/wide_resnet101_2/input_tensor_constraints.py b/samples/torchvision/wide_resnet101_2/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/torchvision/wide_resnet101_2/model.py b/samples/torchvision/wide_resnet101_2/model.py deleted file mode 100644 index 7da285104..000000000 --- a/samples/torchvision/wide_resnet101_2/model.py +++ /dev/null @@ -1,5242 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_conv1_parameters_weight_ = ( - L_self_modules_conv1_parameters_weight_ - ) - l_x_ = L_x_ - l_self_modules_bn1_buffers_running_mean_ = ( - L_self_modules_bn1_buffers_running_mean_ - ) - l_self_modules_bn1_buffers_running_var_ = ( - L_self_modules_bn1_buffers_running_var_ - ) - l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_ - l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_ - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ - l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - x = torch.conv2d( - l_x_, - l_self_modules_conv1_parameters_weight_, - None, - (2, 2), - (3, 3), - (1, 1), - 1, - ) - l_x_ = l_self_modules_conv1_parameters_weight_ = None - x_1 = torch.nn.functional.batch_norm( - x, - l_self_modules_bn1_buffers_running_mean_, - l_self_modules_bn1_buffers_running_var_, - l_self_modules_bn1_parameters_weight_, - l_self_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x = ( - l_self_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_bn1_parameters_weight_ - ) = l_self_modules_bn1_parameters_bias_ = None - x_2 = torch.nn.functional.relu(x_1, inplace=True) - x_1 = None - x_3 = torch.nn.functional.max_pool2d( - x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False - ) - x_2 = None - out = torch.conv2d( - x_3, - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None - out_1 = torch.nn.functional.batch_norm( - out, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None - out_2 = torch.nn.functional.relu(out_1, inplace=True) - out_1 = None - out_3 = torch.conv2d( - out_2, - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_2 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None - out_4 = torch.nn.functional.batch_norm( - out_3, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_3 = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None - out_5 = torch.nn.functional.relu(out_4, inplace=True) - out_4 = None - out_6 = torch.conv2d( - out_5, - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_5 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None - out_7 = torch.nn.functional.batch_norm( - out_6, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_6 = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None - input_1 = torch.conv2d( - x_3, - l_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_3 = l_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_2 = torch.nn.functional.batch_norm( - input_1, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_1 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_7 += input_2 - out_8 = out_7 - out_7 = input_2 = None - out_9 = torch.nn.functional.relu(out_8, inplace=True) - out_8 = None - out_10 = torch.conv2d( - out_9, - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None - out_11 = torch.nn.functional.batch_norm( - out_10, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_10 = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None - out_12 = torch.nn.functional.relu(out_11, inplace=True) - out_11 = None - out_13 = torch.conv2d( - out_12, - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_12 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None - out_14 = torch.nn.functional.batch_norm( - out_13, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_13 = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None - out_15 = torch.nn.functional.relu(out_14, inplace=True) - out_14 = None - out_16 = torch.conv2d( - out_15, - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_15 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None - out_17 = torch.nn.functional.batch_norm( - out_16, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_16 = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None - out_17 += out_9 - out_18 = out_17 - out_17 = out_9 = None - out_19 = torch.nn.functional.relu(out_18, inplace=True) - out_18 = None - out_20 = torch.conv2d( - out_19, - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None - out_21 = torch.nn.functional.batch_norm( - out_20, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_20 = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None - out_22 = torch.nn.functional.relu(out_21, inplace=True) - out_21 = None - out_23 = torch.conv2d( - out_22, - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_22 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None - out_24 = torch.nn.functional.batch_norm( - out_23, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_23 = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None - out_25 = torch.nn.functional.relu(out_24, inplace=True) - out_24 = None - out_26 = torch.conv2d( - out_25, - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_25 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None - out_27 = torch.nn.functional.batch_norm( - out_26, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_26 = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None - out_27 += out_19 - out_28 = out_27 - out_27 = out_19 = None - out_29 = torch.nn.functional.relu(out_28, inplace=True) - out_28 = None - out_30 = torch.conv2d( - out_29, - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None - out_31 = torch.nn.functional.batch_norm( - out_30, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_30 = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None - out_32 = torch.nn.functional.relu(out_31, inplace=True) - out_31 = None - out_33 = torch.conv2d( - out_32, - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - out_32 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None - out_34 = torch.nn.functional.batch_norm( - out_33, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_33 = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None - out_35 = torch.nn.functional.relu(out_34, inplace=True) - out_34 = None - out_36 = torch.conv2d( - out_35, - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_35 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None - out_37 = torch.nn.functional.batch_norm( - out_36, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_36 = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None - input_3 = torch.conv2d( - out_29, - l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - out_29 = l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_4 = torch.nn.functional.batch_norm( - input_3, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_3 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_37 += input_4 - out_38 = out_37 - out_37 = input_4 = None - out_39 = torch.nn.functional.relu(out_38, inplace=True) - out_38 = None - out_40 = torch.conv2d( - out_39, - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None - out_41 = torch.nn.functional.batch_norm( - out_40, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_40 = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None - out_42 = torch.nn.functional.relu(out_41, inplace=True) - out_41 = None - out_43 = torch.conv2d( - out_42, - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_42 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None - out_44 = torch.nn.functional.batch_norm( - out_43, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_43 = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None - out_45 = torch.nn.functional.relu(out_44, inplace=True) - out_44 = None - out_46 = torch.conv2d( - out_45, - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_45 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None - out_47 = torch.nn.functional.batch_norm( - out_46, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_46 = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None - out_47 += out_39 - out_48 = out_47 - out_47 = out_39 = None - out_49 = torch.nn.functional.relu(out_48, inplace=True) - out_48 = None - out_50 = torch.conv2d( - out_49, - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None - out_51 = torch.nn.functional.batch_norm( - out_50, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_50 = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None - out_52 = torch.nn.functional.relu(out_51, inplace=True) - out_51 = None - out_53 = torch.conv2d( - out_52, - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_52 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None - out_54 = torch.nn.functional.batch_norm( - out_53, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_53 = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None - out_55 = torch.nn.functional.relu(out_54, inplace=True) - out_54 = None - out_56 = torch.conv2d( - out_55, - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_55 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None - out_57 = torch.nn.functional.batch_norm( - out_56, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_56 = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None - out_57 += out_49 - out_58 = out_57 - out_57 = out_49 = None - out_59 = torch.nn.functional.relu(out_58, inplace=True) - out_58 = None - out_60 = torch.conv2d( - out_59, - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None - out_61 = torch.nn.functional.batch_norm( - out_60, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_60 = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None - out_62 = torch.nn.functional.relu(out_61, inplace=True) - out_61 = None - out_63 = torch.conv2d( - out_62, - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_62 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None - out_64 = torch.nn.functional.batch_norm( - out_63, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_63 = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None - out_65 = torch.nn.functional.relu(out_64, inplace=True) - out_64 = None - out_66 = torch.conv2d( - out_65, - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_65 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None - out_67 = torch.nn.functional.batch_norm( - out_66, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_66 = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None - out_67 += out_59 - out_68 = out_67 - out_67 = out_59 = None - out_69 = torch.nn.functional.relu(out_68, inplace=True) - out_68 = None - out_70 = torch.conv2d( - out_69, - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None - out_71 = torch.nn.functional.batch_norm( - out_70, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_70 = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None - out_72 = torch.nn.functional.relu(out_71, inplace=True) - out_71 = None - out_73 = torch.conv2d( - out_72, - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - out_72 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None - out_74 = torch.nn.functional.batch_norm( - out_73, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_73 = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None - out_75 = torch.nn.functional.relu(out_74, inplace=True) - out_74 = None - out_76 = torch.conv2d( - out_75, - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_75 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None - out_77 = torch.nn.functional.batch_norm( - out_76, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_76 = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None - input_5 = torch.conv2d( - out_69, - l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - out_69 = l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_6 = torch.nn.functional.batch_norm( - input_5, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_5 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_77 += input_6 - out_78 = out_77 - out_77 = input_6 = None - out_79 = torch.nn.functional.relu(out_78, inplace=True) - out_78 = None - out_80 = torch.conv2d( - out_79, - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None - out_81 = torch.nn.functional.batch_norm( - out_80, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_80 = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None - out_82 = torch.nn.functional.relu(out_81, inplace=True) - out_81 = None - out_83 = torch.conv2d( - out_82, - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_82 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None - out_84 = torch.nn.functional.batch_norm( - out_83, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_83 = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None - out_85 = torch.nn.functional.relu(out_84, inplace=True) - out_84 = None - out_86 = torch.conv2d( - out_85, - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_85 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None - out_87 = torch.nn.functional.batch_norm( - out_86, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_86 = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None - out_87 += out_79 - out_88 = out_87 - out_87 = out_79 = None - out_89 = torch.nn.functional.relu(out_88, inplace=True) - out_88 = None - out_90 = torch.conv2d( - out_89, - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None - out_91 = torch.nn.functional.batch_norm( - out_90, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_90 = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None - out_92 = torch.nn.functional.relu(out_91, inplace=True) - out_91 = None - out_93 = torch.conv2d( - out_92, - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_92 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None - out_94 = torch.nn.functional.batch_norm( - out_93, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_93 = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None - out_95 = torch.nn.functional.relu(out_94, inplace=True) - out_94 = None - out_96 = torch.conv2d( - out_95, - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_95 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None - out_97 = torch.nn.functional.batch_norm( - out_96, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_96 = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None - out_97 += out_89 - out_98 = out_97 - out_97 = out_89 = None - out_99 = torch.nn.functional.relu(out_98, inplace=True) - out_98 = None - out_100 = torch.conv2d( - out_99, - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None - out_101 = torch.nn.functional.batch_norm( - out_100, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_100 = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None - out_102 = torch.nn.functional.relu(out_101, inplace=True) - out_101 = None - out_103 = torch.conv2d( - out_102, - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_102 = ( - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ - ) = None - out_104 = torch.nn.functional.batch_norm( - out_103, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_103 = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None - out_105 = torch.nn.functional.relu(out_104, inplace=True) - out_104 = None - out_106 = torch.conv2d( - out_105, - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_105 = ( - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ - ) = None - out_107 = torch.nn.functional.batch_norm( - out_106, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_106 = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None - out_107 += out_99 - out_108 = out_107 - out_107 = out_99 = None - out_109 = torch.nn.functional.relu(out_108, inplace=True) - out_108 = None - out_110 = torch.conv2d( - out_109, - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None - out_111 = torch.nn.functional.batch_norm( - out_110, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_110 = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None - out_112 = torch.nn.functional.relu(out_111, inplace=True) - out_111 = None - out_113 = torch.conv2d( - out_112, - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_112 = ( - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ - ) = None - out_114 = torch.nn.functional.batch_norm( - out_113, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_113 = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None - out_115 = torch.nn.functional.relu(out_114, inplace=True) - out_114 = None - out_116 = torch.conv2d( - out_115, - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_115 = ( - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ - ) = None - out_117 = torch.nn.functional.batch_norm( - out_116, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_116 = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None - out_117 += out_109 - out_118 = out_117 - out_117 = out_109 = None - out_119 = torch.nn.functional.relu(out_118, inplace=True) - out_118 = None - out_120 = torch.conv2d( - out_119, - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None - out_121 = torch.nn.functional.batch_norm( - out_120, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_120 = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None - out_122 = torch.nn.functional.relu(out_121, inplace=True) - out_121 = None - out_123 = torch.conv2d( - out_122, - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_122 = ( - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ - ) = None - out_124 = torch.nn.functional.batch_norm( - out_123, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_123 = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None - out_125 = torch.nn.functional.relu(out_124, inplace=True) - out_124 = None - out_126 = torch.conv2d( - out_125, - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_125 = ( - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ - ) = None - out_127 = torch.nn.functional.batch_norm( - out_126, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_126 = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None - out_127 += out_119 - out_128 = out_127 - out_127 = out_119 = None - out_129 = torch.nn.functional.relu(out_128, inplace=True) - out_128 = None - out_130 = torch.conv2d( - out_129, - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_6_modules_conv1_parameters_weight_ = None - out_131 = torch.nn.functional.batch_norm( - out_130, - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_130 = ( - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn1_parameters_bias_ = None - out_132 = torch.nn.functional.relu(out_131, inplace=True) - out_131 = None - out_133 = torch.conv2d( - out_132, - l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_132 = ( - l_self_modules_layer3_modules_6_modules_conv2_parameters_weight_ - ) = None - out_134 = torch.nn.functional.batch_norm( - out_133, - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_133 = ( - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn2_parameters_bias_ = None - out_135 = torch.nn.functional.relu(out_134, inplace=True) - out_134 = None - out_136 = torch.conv2d( - out_135, - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_135 = ( - l_self_modules_layer3_modules_6_modules_conv3_parameters_weight_ - ) = None - out_137 = torch.nn.functional.batch_norm( - out_136, - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_136 = ( - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_6_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_6_modules_bn3_parameters_bias_ = None - out_137 += out_129 - out_138 = out_137 - out_137 = out_129 = None - out_139 = torch.nn.functional.relu(out_138, inplace=True) - out_138 = None - out_140 = torch.conv2d( - out_139, - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_7_modules_conv1_parameters_weight_ = None - out_141 = torch.nn.functional.batch_norm( - out_140, - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_140 = ( - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn1_parameters_bias_ = None - out_142 = torch.nn.functional.relu(out_141, inplace=True) - out_141 = None - out_143 = torch.conv2d( - out_142, - l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_142 = ( - l_self_modules_layer3_modules_7_modules_conv2_parameters_weight_ - ) = None - out_144 = torch.nn.functional.batch_norm( - out_143, - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_143 = ( - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn2_parameters_bias_ = None - out_145 = torch.nn.functional.relu(out_144, inplace=True) - out_144 = None - out_146 = torch.conv2d( - out_145, - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_145 = ( - l_self_modules_layer3_modules_7_modules_conv3_parameters_weight_ - ) = None - out_147 = torch.nn.functional.batch_norm( - out_146, - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_146 = ( - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_7_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_7_modules_bn3_parameters_bias_ = None - out_147 += out_139 - out_148 = out_147 - out_147 = out_139 = None - out_149 = torch.nn.functional.relu(out_148, inplace=True) - out_148 = None - out_150 = torch.conv2d( - out_149, - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_8_modules_conv1_parameters_weight_ = None - out_151 = torch.nn.functional.batch_norm( - out_150, - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_150 = ( - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn1_parameters_bias_ = None - out_152 = torch.nn.functional.relu(out_151, inplace=True) - out_151 = None - out_153 = torch.conv2d( - out_152, - l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_152 = ( - l_self_modules_layer3_modules_8_modules_conv2_parameters_weight_ - ) = None - out_154 = torch.nn.functional.batch_norm( - out_153, - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_153 = ( - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn2_parameters_bias_ = None - out_155 = torch.nn.functional.relu(out_154, inplace=True) - out_154 = None - out_156 = torch.conv2d( - out_155, - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_155 = ( - l_self_modules_layer3_modules_8_modules_conv3_parameters_weight_ - ) = None - out_157 = torch.nn.functional.batch_norm( - out_156, - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_156 = ( - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_8_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_8_modules_bn3_parameters_bias_ = None - out_157 += out_149 - out_158 = out_157 - out_157 = out_149 = None - out_159 = torch.nn.functional.relu(out_158, inplace=True) - out_158 = None - out_160 = torch.conv2d( - out_159, - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_9_modules_conv1_parameters_weight_ = None - out_161 = torch.nn.functional.batch_norm( - out_160, - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_160 = ( - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn1_parameters_bias_ = None - out_162 = torch.nn.functional.relu(out_161, inplace=True) - out_161 = None - out_163 = torch.conv2d( - out_162, - l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_162 = ( - l_self_modules_layer3_modules_9_modules_conv2_parameters_weight_ - ) = None - out_164 = torch.nn.functional.batch_norm( - out_163, - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_163 = ( - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn2_parameters_bias_ = None - out_165 = torch.nn.functional.relu(out_164, inplace=True) - out_164 = None - out_166 = torch.conv2d( - out_165, - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_165 = ( - l_self_modules_layer3_modules_9_modules_conv3_parameters_weight_ - ) = None - out_167 = torch.nn.functional.batch_norm( - out_166, - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_166 = ( - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_9_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_9_modules_bn3_parameters_bias_ = None - out_167 += out_159 - out_168 = out_167 - out_167 = out_159 = None - out_169 = torch.nn.functional.relu(out_168, inplace=True) - out_168 = None - out_170 = torch.conv2d( - out_169, - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_10_modules_conv1_parameters_weight_ = None - out_171 = torch.nn.functional.batch_norm( - out_170, - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_170 = ( - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn1_parameters_bias_ = None - out_172 = torch.nn.functional.relu(out_171, inplace=True) - out_171 = None - out_173 = torch.conv2d( - out_172, - l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_172 = ( - l_self_modules_layer3_modules_10_modules_conv2_parameters_weight_ - ) = None - out_174 = torch.nn.functional.batch_norm( - out_173, - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_173 = ( - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn2_parameters_bias_ = None - out_175 = torch.nn.functional.relu(out_174, inplace=True) - out_174 = None - out_176 = torch.conv2d( - out_175, - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_175 = ( - l_self_modules_layer3_modules_10_modules_conv3_parameters_weight_ - ) = None - out_177 = torch.nn.functional.batch_norm( - out_176, - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_176 = ( - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_10_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_10_modules_bn3_parameters_bias_ = None - out_177 += out_169 - out_178 = out_177 - out_177 = out_169 = None - out_179 = torch.nn.functional.relu(out_178, inplace=True) - out_178 = None - out_180 = torch.conv2d( - out_179, - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_11_modules_conv1_parameters_weight_ = None - out_181 = torch.nn.functional.batch_norm( - out_180, - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_180 = ( - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn1_parameters_bias_ = None - out_182 = torch.nn.functional.relu(out_181, inplace=True) - out_181 = None - out_183 = torch.conv2d( - out_182, - l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_182 = ( - l_self_modules_layer3_modules_11_modules_conv2_parameters_weight_ - ) = None - out_184 = torch.nn.functional.batch_norm( - out_183, - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_183 = ( - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn2_parameters_bias_ = None - out_185 = torch.nn.functional.relu(out_184, inplace=True) - out_184 = None - out_186 = torch.conv2d( - out_185, - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_185 = ( - l_self_modules_layer3_modules_11_modules_conv3_parameters_weight_ - ) = None - out_187 = torch.nn.functional.batch_norm( - out_186, - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_186 = ( - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_11_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_11_modules_bn3_parameters_bias_ = None - out_187 += out_179 - out_188 = out_187 - out_187 = out_179 = None - out_189 = torch.nn.functional.relu(out_188, inplace=True) - out_188 = None - out_190 = torch.conv2d( - out_189, - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_12_modules_conv1_parameters_weight_ = None - out_191 = torch.nn.functional.batch_norm( - out_190, - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_190 = ( - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn1_parameters_bias_ = None - out_192 = torch.nn.functional.relu(out_191, inplace=True) - out_191 = None - out_193 = torch.conv2d( - out_192, - l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_192 = ( - l_self_modules_layer3_modules_12_modules_conv2_parameters_weight_ - ) = None - out_194 = torch.nn.functional.batch_norm( - out_193, - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_193 = ( - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn2_parameters_bias_ = None - out_195 = torch.nn.functional.relu(out_194, inplace=True) - out_194 = None - out_196 = torch.conv2d( - out_195, - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_195 = ( - l_self_modules_layer3_modules_12_modules_conv3_parameters_weight_ - ) = None - out_197 = torch.nn.functional.batch_norm( - out_196, - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_196 = ( - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_12_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_12_modules_bn3_parameters_bias_ = None - out_197 += out_189 - out_198 = out_197 - out_197 = out_189 = None - out_199 = torch.nn.functional.relu(out_198, inplace=True) - out_198 = None - out_200 = torch.conv2d( - out_199, - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_13_modules_conv1_parameters_weight_ = None - out_201 = torch.nn.functional.batch_norm( - out_200, - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_200 = ( - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn1_parameters_bias_ = None - out_202 = torch.nn.functional.relu(out_201, inplace=True) - out_201 = None - out_203 = torch.conv2d( - out_202, - l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_202 = ( - l_self_modules_layer3_modules_13_modules_conv2_parameters_weight_ - ) = None - out_204 = torch.nn.functional.batch_norm( - out_203, - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_203 = ( - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn2_parameters_bias_ = None - out_205 = torch.nn.functional.relu(out_204, inplace=True) - out_204 = None - out_206 = torch.conv2d( - out_205, - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_205 = ( - l_self_modules_layer3_modules_13_modules_conv3_parameters_weight_ - ) = None - out_207 = torch.nn.functional.batch_norm( - out_206, - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_206 = ( - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_13_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_13_modules_bn3_parameters_bias_ = None - out_207 += out_199 - out_208 = out_207 - out_207 = out_199 = None - out_209 = torch.nn.functional.relu(out_208, inplace=True) - out_208 = None - out_210 = torch.conv2d( - out_209, - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_14_modules_conv1_parameters_weight_ = None - out_211 = torch.nn.functional.batch_norm( - out_210, - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_210 = ( - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn1_parameters_bias_ = None - out_212 = torch.nn.functional.relu(out_211, inplace=True) - out_211 = None - out_213 = torch.conv2d( - out_212, - l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_212 = ( - l_self_modules_layer3_modules_14_modules_conv2_parameters_weight_ - ) = None - out_214 = torch.nn.functional.batch_norm( - out_213, - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_213 = ( - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn2_parameters_bias_ = None - out_215 = torch.nn.functional.relu(out_214, inplace=True) - out_214 = None - out_216 = torch.conv2d( - out_215, - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_215 = ( - l_self_modules_layer3_modules_14_modules_conv3_parameters_weight_ - ) = None - out_217 = torch.nn.functional.batch_norm( - out_216, - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_216 = ( - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_14_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_14_modules_bn3_parameters_bias_ = None - out_217 += out_209 - out_218 = out_217 - out_217 = out_209 = None - out_219 = torch.nn.functional.relu(out_218, inplace=True) - out_218 = None - out_220 = torch.conv2d( - out_219, - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_15_modules_conv1_parameters_weight_ = None - out_221 = torch.nn.functional.batch_norm( - out_220, - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_220 = ( - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn1_parameters_bias_ = None - out_222 = torch.nn.functional.relu(out_221, inplace=True) - out_221 = None - out_223 = torch.conv2d( - out_222, - l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_222 = ( - l_self_modules_layer3_modules_15_modules_conv2_parameters_weight_ - ) = None - out_224 = torch.nn.functional.batch_norm( - out_223, - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_223 = ( - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn2_parameters_bias_ = None - out_225 = torch.nn.functional.relu(out_224, inplace=True) - out_224 = None - out_226 = torch.conv2d( - out_225, - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_225 = ( - l_self_modules_layer3_modules_15_modules_conv3_parameters_weight_ - ) = None - out_227 = torch.nn.functional.batch_norm( - out_226, - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_226 = ( - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_15_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_15_modules_bn3_parameters_bias_ = None - out_227 += out_219 - out_228 = out_227 - out_227 = out_219 = None - out_229 = torch.nn.functional.relu(out_228, inplace=True) - out_228 = None - out_230 = torch.conv2d( - out_229, - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_16_modules_conv1_parameters_weight_ = None - out_231 = torch.nn.functional.batch_norm( - out_230, - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_230 = ( - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn1_parameters_bias_ = None - out_232 = torch.nn.functional.relu(out_231, inplace=True) - out_231 = None - out_233 = torch.conv2d( - out_232, - l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_232 = ( - l_self_modules_layer3_modules_16_modules_conv2_parameters_weight_ - ) = None - out_234 = torch.nn.functional.batch_norm( - out_233, - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_233 = ( - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn2_parameters_bias_ = None - out_235 = torch.nn.functional.relu(out_234, inplace=True) - out_234 = None - out_236 = torch.conv2d( - out_235, - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_235 = ( - l_self_modules_layer3_modules_16_modules_conv3_parameters_weight_ - ) = None - out_237 = torch.nn.functional.batch_norm( - out_236, - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_236 = ( - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_16_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_16_modules_bn3_parameters_bias_ = None - out_237 += out_229 - out_238 = out_237 - out_237 = out_229 = None - out_239 = torch.nn.functional.relu(out_238, inplace=True) - out_238 = None - out_240 = torch.conv2d( - out_239, - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_17_modules_conv1_parameters_weight_ = None - out_241 = torch.nn.functional.batch_norm( - out_240, - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_240 = ( - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn1_parameters_bias_ = None - out_242 = torch.nn.functional.relu(out_241, inplace=True) - out_241 = None - out_243 = torch.conv2d( - out_242, - l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_242 = ( - l_self_modules_layer3_modules_17_modules_conv2_parameters_weight_ - ) = None - out_244 = torch.nn.functional.batch_norm( - out_243, - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_243 = ( - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn2_parameters_bias_ = None - out_245 = torch.nn.functional.relu(out_244, inplace=True) - out_244 = None - out_246 = torch.conv2d( - out_245, - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_245 = ( - l_self_modules_layer3_modules_17_modules_conv3_parameters_weight_ - ) = None - out_247 = torch.nn.functional.batch_norm( - out_246, - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_246 = ( - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_17_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_17_modules_bn3_parameters_bias_ = None - out_247 += out_239 - out_248 = out_247 - out_247 = out_239 = None - out_249 = torch.nn.functional.relu(out_248, inplace=True) - out_248 = None - out_250 = torch.conv2d( - out_249, - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_18_modules_conv1_parameters_weight_ = None - out_251 = torch.nn.functional.batch_norm( - out_250, - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_250 = ( - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn1_parameters_bias_ = None - out_252 = torch.nn.functional.relu(out_251, inplace=True) - out_251 = None - out_253 = torch.conv2d( - out_252, - l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_252 = ( - l_self_modules_layer3_modules_18_modules_conv2_parameters_weight_ - ) = None - out_254 = torch.nn.functional.batch_norm( - out_253, - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_253 = ( - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn2_parameters_bias_ = None - out_255 = torch.nn.functional.relu(out_254, inplace=True) - out_254 = None - out_256 = torch.conv2d( - out_255, - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_255 = ( - l_self_modules_layer3_modules_18_modules_conv3_parameters_weight_ - ) = None - out_257 = torch.nn.functional.batch_norm( - out_256, - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_256 = ( - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_18_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_18_modules_bn3_parameters_bias_ = None - out_257 += out_249 - out_258 = out_257 - out_257 = out_249 = None - out_259 = torch.nn.functional.relu(out_258, inplace=True) - out_258 = None - out_260 = torch.conv2d( - out_259, - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_19_modules_conv1_parameters_weight_ = None - out_261 = torch.nn.functional.batch_norm( - out_260, - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_260 = ( - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn1_parameters_bias_ = None - out_262 = torch.nn.functional.relu(out_261, inplace=True) - out_261 = None - out_263 = torch.conv2d( - out_262, - l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_262 = ( - l_self_modules_layer3_modules_19_modules_conv2_parameters_weight_ - ) = None - out_264 = torch.nn.functional.batch_norm( - out_263, - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_263 = ( - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn2_parameters_bias_ = None - out_265 = torch.nn.functional.relu(out_264, inplace=True) - out_264 = None - out_266 = torch.conv2d( - out_265, - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_265 = ( - l_self_modules_layer3_modules_19_modules_conv3_parameters_weight_ - ) = None - out_267 = torch.nn.functional.batch_norm( - out_266, - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_266 = ( - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_19_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_19_modules_bn3_parameters_bias_ = None - out_267 += out_259 - out_268 = out_267 - out_267 = out_259 = None - out_269 = torch.nn.functional.relu(out_268, inplace=True) - out_268 = None - out_270 = torch.conv2d( - out_269, - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_20_modules_conv1_parameters_weight_ = None - out_271 = torch.nn.functional.batch_norm( - out_270, - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_270 = ( - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn1_parameters_bias_ = None - out_272 = torch.nn.functional.relu(out_271, inplace=True) - out_271 = None - out_273 = torch.conv2d( - out_272, - l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_272 = ( - l_self_modules_layer3_modules_20_modules_conv2_parameters_weight_ - ) = None - out_274 = torch.nn.functional.batch_norm( - out_273, - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_273 = ( - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn2_parameters_bias_ = None - out_275 = torch.nn.functional.relu(out_274, inplace=True) - out_274 = None - out_276 = torch.conv2d( - out_275, - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_275 = ( - l_self_modules_layer3_modules_20_modules_conv3_parameters_weight_ - ) = None - out_277 = torch.nn.functional.batch_norm( - out_276, - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_276 = ( - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_20_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_20_modules_bn3_parameters_bias_ = None - out_277 += out_269 - out_278 = out_277 - out_277 = out_269 = None - out_279 = torch.nn.functional.relu(out_278, inplace=True) - out_278 = None - out_280 = torch.conv2d( - out_279, - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_21_modules_conv1_parameters_weight_ = None - out_281 = torch.nn.functional.batch_norm( - out_280, - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_280 = ( - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn1_parameters_bias_ = None - out_282 = torch.nn.functional.relu(out_281, inplace=True) - out_281 = None - out_283 = torch.conv2d( - out_282, - l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_282 = ( - l_self_modules_layer3_modules_21_modules_conv2_parameters_weight_ - ) = None - out_284 = torch.nn.functional.batch_norm( - out_283, - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_283 = ( - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn2_parameters_bias_ = None - out_285 = torch.nn.functional.relu(out_284, inplace=True) - out_284 = None - out_286 = torch.conv2d( - out_285, - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_285 = ( - l_self_modules_layer3_modules_21_modules_conv3_parameters_weight_ - ) = None - out_287 = torch.nn.functional.batch_norm( - out_286, - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_286 = ( - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_21_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_21_modules_bn3_parameters_bias_ = None - out_287 += out_279 - out_288 = out_287 - out_287 = out_279 = None - out_289 = torch.nn.functional.relu(out_288, inplace=True) - out_288 = None - out_290 = torch.conv2d( - out_289, - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_22_modules_conv1_parameters_weight_ = None - out_291 = torch.nn.functional.batch_norm( - out_290, - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_290 = ( - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn1_parameters_bias_ = None - out_292 = torch.nn.functional.relu(out_291, inplace=True) - out_291 = None - out_293 = torch.conv2d( - out_292, - l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_292 = ( - l_self_modules_layer3_modules_22_modules_conv2_parameters_weight_ - ) = None - out_294 = torch.nn.functional.batch_norm( - out_293, - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_293 = ( - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn2_parameters_bias_ = None - out_295 = torch.nn.functional.relu(out_294, inplace=True) - out_294 = None - out_296 = torch.conv2d( - out_295, - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_295 = ( - l_self_modules_layer3_modules_22_modules_conv3_parameters_weight_ - ) = None - out_297 = torch.nn.functional.batch_norm( - out_296, - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_296 = ( - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_22_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_22_modules_bn3_parameters_bias_ = None - out_297 += out_289 - out_298 = out_297 - out_297 = out_289 = None - out_299 = torch.nn.functional.relu(out_298, inplace=True) - out_298 = None - out_300 = torch.conv2d( - out_299, - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None - out_301 = torch.nn.functional.batch_norm( - out_300, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_300 = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None - out_302 = torch.nn.functional.relu(out_301, inplace=True) - out_301 = None - out_303 = torch.conv2d( - out_302, - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - out_302 = ( - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ - ) = None - out_304 = torch.nn.functional.batch_norm( - out_303, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_303 = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None - out_305 = torch.nn.functional.relu(out_304, inplace=True) - out_304 = None - out_306 = torch.conv2d( - out_305, - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_305 = ( - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) = None - out_307 = torch.nn.functional.batch_norm( - out_306, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_306 = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None - input_7 = torch.conv2d( - out_299, - l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - out_299 = l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_8 = torch.nn.functional.batch_norm( - input_7, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_7 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_307 += input_8 - out_308 = out_307 - out_307 = input_8 = None - out_309 = torch.nn.functional.relu(out_308, inplace=True) - out_308 = None - out_310 = torch.conv2d( - out_309, - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None - out_311 = torch.nn.functional.batch_norm( - out_310, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_310 = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None - out_312 = torch.nn.functional.relu(out_311, inplace=True) - out_311 = None - out_313 = torch.conv2d( - out_312, - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_312 = ( - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ - ) = None - out_314 = torch.nn.functional.batch_norm( - out_313, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_313 = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None - out_315 = torch.nn.functional.relu(out_314, inplace=True) - out_314 = None - out_316 = torch.conv2d( - out_315, - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_315 = ( - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) = None - out_317 = torch.nn.functional.batch_norm( - out_316, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_316 = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None - out_317 += out_309 - out_318 = out_317 - out_317 = out_309 = None - out_319 = torch.nn.functional.relu(out_318, inplace=True) - out_318 = None - out_320 = torch.conv2d( - out_319, - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None - out_321 = torch.nn.functional.batch_norm( - out_320, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_320 = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None - out_322 = torch.nn.functional.relu(out_321, inplace=True) - out_321 = None - out_323 = torch.conv2d( - out_322, - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_322 = ( - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ - ) = None - out_324 = torch.nn.functional.batch_norm( - out_323, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_323 = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None - out_325 = torch.nn.functional.relu(out_324, inplace=True) - out_324 = None - out_326 = torch.conv2d( - out_325, - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_325 = ( - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) = None - out_327 = torch.nn.functional.batch_norm( - out_326, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_326 = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None - out_327 += out_319 - out_328 = out_327 - out_327 = out_319 = None - out_329 = torch.nn.functional.relu(out_328, inplace=True) - out_328 = None - x_4 = torch.nn.functional.adaptive_avg_pool2d(out_329, (1, 1)) - out_329 = None - x_5 = torch.flatten(x_4, 1) - x_4 = None - x_6 = torch._C._nn.linear( - x_5, - l_self_modules_fc_parameters_weight_, - l_self_modules_fc_parameters_bias_, - ) - x_5 = ( - l_self_modules_fc_parameters_weight_ - ) = l_self_modules_fc_parameters_bias_ = None - return (x_6,) diff --git a/samples/torchvision/wide_resnet101_2/weight_meta.py b/samples/torchvision/wide_resnet101_2/weight_meta.py deleted file mode 100644 index 1d5bd1358..000000000 --- a/samples/torchvision/wide_resnet101_2/weight_meta.py +++ /dev/null @@ -1,5246 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_conv1_parameters_weight_: - name = "L_self_modules_conv1_parameters_weight_" - shape = [64, 3, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.278 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cpu" - mean = 0.227 - std = 1.287 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_: - name = "L_self_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cpu" - mean = 0.038 - std = 0.374 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_: - name = "L_self_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cpu" - mean = 15.217 - std = 34.121 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_: - name = "L_self_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cpu" - mean = 2.276 - std = 1.415 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_: - name = "L_self_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cpu" - mean = 2.227 - std = 4.309 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_" - shape = [128, 64, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.009 - std = 0.126 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -2.859 - std = 8.257 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 14.882 - std = 33.584 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.563 - std = 0.512 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 0.036 - std = 1.678 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.043 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.169 - std = 4.566 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 17.805 - std = 27.324 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.099 - std = 0.672 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 0.481 - std = 2.595 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_" - shape = [256, 128, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.134 - std = 3.294 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 12.135 - std = 12.051 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 2.885 - std = 1.569 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.028 - std = 0.778 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [256, 64, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.006 - std = 0.143 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.586 - std = 6.763 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 37.736 - std = 31.807 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 3.211 - std = 1.645 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.028 - std = 0.778 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_" - shape = [128, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.068 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.285 - std = 1.585 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 5.085 - std = 4.816 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.666 - std = 0.758 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.681 - std = 1.679 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.050 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.122 - std = 2.369 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 5.665 - std = 4.114 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.620 - std = 0.423 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.342 - std = 1.555 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_" - shape = [256, 128, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.072 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.127 - std = 1.011 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.837 - std = 0.845 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.880 - std = 0.801 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.215 - std = 1.164 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_" - shape = [128, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.070 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.646 - std = 2.068 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 3.557 - std = 1.299 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.657 - std = 0.442 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.592 - std = 1.321 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.047 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -1.062 - std = 1.382 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 5.387 - std = 2.009 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.593 - std = 0.584 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.474 - std = 1.680 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_" - shape = [256, 128, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.004 - std = 0.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.042 - std = 0.958 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.861 - std = 0.713 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.153 - std = 0.871 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.288 - std = 0.985 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_" - shape = [256, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.006 - std = 0.074 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.517 - std = 2.289 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 6.130 - std = 1.783 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.949 - std = 0.395 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.456 - std = 0.819 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.032 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.799 - std = 0.995 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 5.188 - std = 1.894 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.596 - std = 0.328 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.001 - std = 1.224 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.054 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.038 - std = 1.300 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.145 - std = 0.884 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.355 - std = 0.726 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.175 - std = 0.640 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.261 - std = 1.382 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.763 - std = 2.400 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.858 - std = 0.700 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.175 - std = 0.640 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_" - shape = [256, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.691 - std = 2.197 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 5.870 - std = 4.007 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.109 - std = 0.348 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.804 - std = 1.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.158 - std = 1.250 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.876 - std = 0.807 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.407 - std = 0.331 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.918 - std = 1.096 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.042 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.042 - std = 0.467 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.329 - std = 0.272 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.869 - std = 0.683 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.419 - std = 0.942 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_" - shape = [256, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.037 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.832 - std = 1.116 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 4.854 - std = 1.497 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.210 - std = 0.245 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.763 - std = 0.830 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.663 - std = 0.612 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 2.001 - std = 0.621 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.526 - std = 0.357 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.051 - std = 0.871 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.040 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.151 - std = 0.383 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.249 - std = 0.182 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.846 - std = 0.620 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.703 - std = 0.901 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_" - shape = [256, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.041 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.042 - std = 1.418 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 4.957 - std = 3.465 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.290 - std = 0.307 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.084 - std = 0.839 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.647 - std = 0.842 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.710 - std = 1.290 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.485 - std = 0.398 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.211 - std = 0.880 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.004 - std = 0.037 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.141 - std = 0.305 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.280 - std = 0.438 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.809 - std = 0.685 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.564 - std = 0.980 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_" - shape = [512, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.050 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.262 - std = 1.440 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 5.406 - std = 1.517 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.692 - std = 0.331 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.652 - std = 0.854 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.470 - std = 0.650 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 3.106 - std = 1.272 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.297 - std = 0.326 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.108 - std = 0.830 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.027 - std = 0.948 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.942 - std = 0.790 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.511 - std = 0.776 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.112 - std = 0.669 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.028 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.268 - std = 1.187 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.733 - std = 2.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.011 - std = 0.627 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.112 - std = 0.669 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.306 - std = 2.204 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 7.273 - std = 4.931 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.850 - std = 0.271 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.741 - std = 0.673 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.547 - std = 0.785 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.818 - std = 0.401 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.090 - std = 0.307 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.147 - std = 0.813 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.023 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.094 - std = 0.157 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.093 - std = 0.192 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.637 - std = 0.744 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.210 - std = 0.793 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.690 - std = 2.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 5.745 - std = 2.985 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.894 - std = 0.222 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.732 - std = 0.591 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.411 - std = 0.465 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.784 - std = 0.278 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.099 - std = 0.273 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.012 - std = 0.641 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.023 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.019 - std = 0.171 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.084 - std = 0.091 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.730 - std = 0.590 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.322 - std = 0.544 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.858 - std = 1.391 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 5.103 - std = 2.447 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.885 - std = 0.200 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.911 - std = 0.564 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.448 - std = 0.280 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.534 - std = 0.236 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.148 - std = 0.199 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.200 - std = 0.570 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.050 - std = 0.137 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.053 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.571 - std = 0.652 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.169 - std = 0.526 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.819 - std = 1.603 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.499 - std = 2.218 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.856 - std = 0.198 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.927 - std = 0.537 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.302 - std = 0.285 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.352 - std = 0.269 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.957 - std = 0.293 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.062 - std = 0.600 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.011 - std = 0.094 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.035 - std = 0.036 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.619 - std = 0.556 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.251 - std = 0.484 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.653 - std = 1.479 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 5.711 - std = 6.986 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.860 - std = 0.208 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.888 - std = 0.526 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.332 - std = 0.268 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.360 - std = 0.264 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.966 - std = 0.237 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.988 - std = 0.504 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.051 - std = 0.092 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.035 - std = 0.050 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.634 - std = 0.639 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.253 - std = 0.430 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.511 - std = 1.332 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 5.131 - std = 4.462 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.883 - std = 0.200 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.925 - std = 0.493 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.351 - std = 0.304 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.328 - std = 0.133 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.983 - std = 0.217 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.021 - std = 0.550 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.075 - std = 0.132 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_6_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.040 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.632 - std = 0.588 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_6_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.502 - std = 0.683 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.864 - std = 1.368 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 5.984 - std = 3.443 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.002 - std = 0.248 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.069 - std = 0.548 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.418 - std = 0.262 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.357 - std = 0.152 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.984 - std = 0.268 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.944 - std = 0.564 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.073 - std = 0.135 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_7_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.061 - std = 0.074 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.686 - std = 0.505 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_7_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.421 - std = 0.553 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.593 - std = 1.163 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 5.421 - std = 1.575 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.064 - std = 0.218 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.203 - std = 0.528 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.511 - std = 0.279 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.429 - std = 0.167 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.054 - std = 0.225 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.017 - std = 0.528 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.023 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.085 - std = 0.165 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_8_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.057 - std = 0.082 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.581 - std = 0.560 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_8_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.338 - std = 0.643 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.931 - std = 1.196 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.369 - std = 0.966 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.950 - std = 0.214 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.321 - std = 0.580 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.385 - std = 0.214 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.174 - std = 0.057 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.923 - std = 0.188 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.054 - std = 0.480 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.033 - std = 0.085 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_9_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.025 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.627 - std = 0.545 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_9_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.142 - std = 0.412 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.822 - std = 1.646 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 3.986 - std = 2.988 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.812 - std = 0.204 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.868 - std = 0.542 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.354 - std = 0.411 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.350 - std = 0.187 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.863 - std = 0.257 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.877 - std = 0.551 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.099 - std = 0.113 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_10_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.037 - std = 0.064 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.628 - std = 0.765 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_10_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.141 - std = 0.410 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.110 - std = 1.576 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.832 - std = 1.843 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.904 - std = 0.195 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.060 - std = 0.529 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.286 - std = 0.210 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.224 - std = 0.085 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.890 - std = 0.161 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.876 - std = 0.509 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.048 - std = 0.117 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_11_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.039 - std = 0.032 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.608 - std = 0.423 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_11_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.238 - std = 0.362 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.703 - std = 1.533 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.484 - std = 2.039 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.859 - std = 0.217 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.876 - std = 0.509 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.378 - std = 0.296 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.339 - std = 0.181 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.919 - std = 0.191 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.853 - std = 0.519 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.066 - std = 0.147 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_12_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.043 - std = 0.044 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.699 - std = 0.627 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_12_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.275 - std = 0.444 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.269 - std = 1.167 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.814 - std = 1.902 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.872 - std = 0.197 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.076 - std = 0.520 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.287 - std = 0.194 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.191 - std = 0.079 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.875 - std = 0.162 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.997 - std = 0.533 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.034 - std = 0.108 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_13_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.029 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.667 - std = 0.511 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_13_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.383 - std = 0.522 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.023 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.242 - std = 1.388 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.906 - std = 1.398 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.923 - std = 0.177 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.173 - std = 0.483 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.339 - std = 0.198 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.198 - std = 0.066 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.942 - std = 0.156 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.015 - std = 0.500 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.068 - std = 0.142 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_14_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.035 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.715 - std = 0.577 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_14_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.553 - std = 0.647 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.262 - std = 1.470 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 5.401 - std = 1.453 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.958 - std = 0.146 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.407 - std = 0.423 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.260 - std = 0.112 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.111 - std = 0.028 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.897 - std = 0.179 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.022 - std = 0.534 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.035 - std = 0.111 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_15_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.025 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.603 - std = 0.393 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_15_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.323 - std = 0.451 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.207 - std = 1.279 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.996 - std = 0.793 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.980 - std = 0.161 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.468 - std = 0.465 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.307 - std = 0.144 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.108 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.884 - std = 0.180 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.218 - std = 0.507 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.057 - std = 0.071 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_16_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.015 - std = 0.010 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.638 - std = 0.484 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_16_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.353 - std = 0.462 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.393 - std = 1.582 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.973 - std = 1.797 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.938 - std = 0.179 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.403 - std = 0.544 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.285 - std = 0.152 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.139 - std = 0.052 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.936 - std = 0.178 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.043 - std = 0.522 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.035 - std = 0.104 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_17_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.030 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.620 - std = 0.417 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_17_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.222 - std = 0.441 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.027 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.039 - std = 1.373 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.799 - std = 1.665 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.994 - std = 0.202 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.560 - std = 0.581 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.381 - std = 0.161 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.125 - std = 0.049 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.908 - std = 0.185 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.090 - std = 0.454 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.027 - std = 0.086 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_18_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.021 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.667 - std = 0.539 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_18_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.231 - std = 0.352 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.492 - std = 1.652 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.625 - std = 3.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.822 - std = 0.227 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.335 - std = 0.663 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.284 - std = 0.190 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.092 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.815 - std = 0.194 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.961 - std = 0.485 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.029 - std = 0.089 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_19_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.019 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.667 - std = 0.577 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_19_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.267 - std = 0.382 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.055 - std = 1.975 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.306 - std = 2.896 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.729 - std = 0.165 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.935 - std = 0.520 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.011 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.211 - std = 0.186 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.135 - std = 0.091 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.808 - std = 0.168 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.868 - std = 0.446 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.076 - std = 0.094 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_20_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.028 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.681 - std = 0.640 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_20_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.462 - std = 0.494 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.021 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.337 - std = 2.097 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.519 - std = 2.675 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.790 - std = 0.178 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.807 - std = 0.437 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.365 - std = 0.270 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.278 - std = 0.153 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.849 - std = 0.222 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.936 - std = 0.456 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.029 - std = 0.084 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_21_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.032 - std = 0.032 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.700 - std = 0.666 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_21_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.502 - std = 0.612 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.469 - std = 1.770 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.786 - std = 1.896 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.864 - std = 0.200 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.986 - std = 0.477 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.294 - std = 0.225 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.231 - std = 0.115 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.890 - std = 0.261 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.914 - std = 0.501 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.046 - std = 0.114 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_22_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.057 - std = 0.052 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.686 - std = 0.515 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_22_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.281 - std = 0.842 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_" - shape = [1024, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.549 - std = 1.743 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 6.695 - std = 1.625 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.460 - std = 0.152 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -2.091 - std = 0.477 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_" - shape = [1024, 1024, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.725 - std = 0.143 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.096 - std = 0.145 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.362 - std = 0.156 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.099 - std = 0.383 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -0.192 - std = 0.191 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 0.251 - std = 0.090 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 2.740 - std = 0.725 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -2.029 - std = 0.691 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -1.344 - std = 1.357 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 3.291 - std = 2.629 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 2.520 - std = 0.349 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -2.029 - std = 0.691 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_" - shape = [1024, 2048, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.024 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -2.146 - std = 0.895 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 6.140 - std = 1.702 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.147 - std = 0.217 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.037 - std = 0.391 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_" - shape = [1024, 1024, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.014 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.756 - std = 0.391 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.726 - std = 0.252 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.213 - std = 0.189 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.439 - std = 0.550 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -0.234 - std = 0.116 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 0.078 - std = 0.065 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 1.866 - std = 0.329 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -2.161 - std = 0.435 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_" - shape = [1024, 2048, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.680 - std = 0.810 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 5.294 - std = 5.583 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.303 - std = 0.369 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.299 - std = 0.512 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_" - shape = [1024, 1024, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.012 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.500 - std = 0.253 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.404 - std = 0.726 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.088 - std = 0.400 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.014 - std = 0.695 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.005 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -0.924 - std = 0.339 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 0.104 - std = 0.045 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 2.274 - std = 0.421 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -3.530 - std = 0.661 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [1000, 2048] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.037 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: - name = "L_self_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.019 - data = None diff --git a/samples/torchvision/wide_resnet50_2/graph_hash.txt b/samples/torchvision/wide_resnet50_2/graph_hash.txt deleted file mode 100644 index 744992a96..000000000 --- a/samples/torchvision/wide_resnet50_2/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -9be6c6a66a943feb004723199356af14dd5b0a65c0dbb3e1203d0b7da91c28c9 \ No newline at end of file diff --git a/samples/torchvision/wide_resnet50_2/graph_net.json b/samples/torchvision/wide_resnet50_2/graph_net.json deleted file mode 100644 index 57db397d4..000000000 --- a/samples/torchvision/wide_resnet50_2/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "source": "torchvision", - "heuristic_tag": "computer_vision" -} \ No newline at end of file diff --git a/samples/torchvision/wide_resnet50_2/input_meta.py b/samples/torchvision/wide_resnet50_2/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/torchvision/wide_resnet50_2/input_tensor_constraints.py b/samples/torchvision/wide_resnet50_2/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/torchvision/wide_resnet50_2/model.py b/samples/torchvision/wide_resnet50_2/model.py deleted file mode 100644 index c94124639..000000000 --- a/samples/torchvision/wide_resnet50_2/model.py +++ /dev/null @@ -1,2624 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - s1: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: torch.Tensor, - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_conv1_parameters_weight_ = ( - L_self_modules_conv1_parameters_weight_ - ) - l_x_ = L_x_ - l_self_modules_bn1_buffers_running_mean_ = ( - L_self_modules_bn1_buffers_running_mean_ - ) - l_self_modules_bn1_buffers_running_var_ = ( - L_self_modules_bn1_buffers_running_var_ - ) - l_self_modules_bn1_parameters_weight_ = L_self_modules_bn1_parameters_weight_ - l_self_modules_bn1_parameters_bias_ = L_self_modules_bn1_parameters_bias_ - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ - ) - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = ( - L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ - ) - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ = ( - L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = ( - L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ - ) - l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ - l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - x = torch.conv2d( - l_x_, - l_self_modules_conv1_parameters_weight_, - None, - (2, 2), - (3, 3), - (1, 1), - 1, - ) - l_x_ = l_self_modules_conv1_parameters_weight_ = None - x_1 = torch.nn.functional.batch_norm( - x, - l_self_modules_bn1_buffers_running_mean_, - l_self_modules_bn1_buffers_running_var_, - l_self_modules_bn1_parameters_weight_, - l_self_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - x = ( - l_self_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_bn1_parameters_weight_ - ) = l_self_modules_bn1_parameters_bias_ = None - x_2 = torch.nn.functional.relu(x_1, inplace=True) - x_1 = None - x_3 = torch.nn.functional.max_pool2d( - x_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False - ) - x_2 = None - out = torch.conv2d( - x_3, - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None - out_1 = torch.nn.functional.batch_norm( - out, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn1_parameters_bias_ = None - out_2 = torch.nn.functional.relu(out_1, inplace=True) - out_1 = None - out_3 = torch.conv2d( - out_2, - l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_2 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None - out_4 = torch.nn.functional.batch_norm( - out_3, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_3 = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn2_parameters_bias_ = None - out_5 = torch.nn.functional.relu(out_4, inplace=True) - out_4 = None - out_6 = torch.conv2d( - out_5, - l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_5 = l_self_modules_layer1_modules_0_modules_conv3_parameters_weight_ = None - out_7 = torch.nn.functional.batch_norm( - out_6, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_6 = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_0_modules_bn3_parameters_bias_ = None - input_1 = torch.conv2d( - x_3, - l_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_3 = l_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_2 = torch.nn.functional.batch_norm( - input_1, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_1 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_7 += input_2 - out_8 = out_7 - out_7 = input_2 = None - out_9 = torch.nn.functional.relu(out_8, inplace=True) - out_8 = None - out_10 = torch.conv2d( - out_9, - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None - out_11 = torch.nn.functional.batch_norm( - out_10, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_10 = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn1_parameters_bias_ = None - out_12 = torch.nn.functional.relu(out_11, inplace=True) - out_11 = None - out_13 = torch.conv2d( - out_12, - l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_12 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None - out_14 = torch.nn.functional.batch_norm( - out_13, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_13 = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn2_parameters_bias_ = None - out_15 = torch.nn.functional.relu(out_14, inplace=True) - out_14 = None - out_16 = torch.conv2d( - out_15, - l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_15 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None - out_17 = torch.nn.functional.batch_norm( - out_16, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_16 = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_1_modules_bn3_parameters_bias_ = None - out_17 += out_9 - out_18 = out_17 - out_17 = out_9 = None - out_19 = torch.nn.functional.relu(out_18, inplace=True) - out_18 = None - out_20 = torch.conv2d( - out_19, - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer1_modules_2_modules_conv1_parameters_weight_ = None - out_21 = torch.nn.functional.batch_norm( - out_20, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_20 = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn1_parameters_bias_ = None - out_22 = torch.nn.functional.relu(out_21, inplace=True) - out_21 = None - out_23 = torch.conv2d( - out_22, - l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_22 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None - out_24 = torch.nn.functional.batch_norm( - out_23, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_23 = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn2_parameters_bias_ = None - out_25 = torch.nn.functional.relu(out_24, inplace=True) - out_24 = None - out_26 = torch.conv2d( - out_25, - l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_25 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None - out_27 = torch.nn.functional.batch_norm( - out_26, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_26 = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer1_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer1_modules_2_modules_bn3_parameters_bias_ = None - out_27 += out_19 - out_28 = out_27 - out_27 = out_19 = None - out_29 = torch.nn.functional.relu(out_28, inplace=True) - out_28 = None - out_30 = torch.conv2d( - out_29, - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None - out_31 = torch.nn.functional.batch_norm( - out_30, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_30 = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn1_parameters_bias_ = None - out_32 = torch.nn.functional.relu(out_31, inplace=True) - out_31 = None - out_33 = torch.conv2d( - out_32, - l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - out_32 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None - out_34 = torch.nn.functional.batch_norm( - out_33, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_33 = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn2_parameters_bias_ = None - out_35 = torch.nn.functional.relu(out_34, inplace=True) - out_34 = None - out_36 = torch.conv2d( - out_35, - l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_35 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None - out_37 = torch.nn.functional.batch_norm( - out_36, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_36 = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_0_modules_bn3_parameters_bias_ = None - input_3 = torch.conv2d( - out_29, - l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - out_29 = l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_4 = torch.nn.functional.batch_norm( - input_3, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_3 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_37 += input_4 - out_38 = out_37 - out_37 = input_4 = None - out_39 = torch.nn.functional.relu(out_38, inplace=True) - out_38 = None - out_40 = torch.conv2d( - out_39, - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None - out_41 = torch.nn.functional.batch_norm( - out_40, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_40 = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn1_parameters_bias_ = None - out_42 = torch.nn.functional.relu(out_41, inplace=True) - out_41 = None - out_43 = torch.conv2d( - out_42, - l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_42 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None - out_44 = torch.nn.functional.batch_norm( - out_43, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_43 = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn2_parameters_bias_ = None - out_45 = torch.nn.functional.relu(out_44, inplace=True) - out_44 = None - out_46 = torch.conv2d( - out_45, - l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_45 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None - out_47 = torch.nn.functional.batch_norm( - out_46, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_46 = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_1_modules_bn3_parameters_bias_ = None - out_47 += out_39 - out_48 = out_47 - out_47 = out_39 = None - out_49 = torch.nn.functional.relu(out_48, inplace=True) - out_48 = None - out_50 = torch.conv2d( - out_49, - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_2_modules_conv1_parameters_weight_ = None - out_51 = torch.nn.functional.batch_norm( - out_50, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_50 = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn1_parameters_bias_ = None - out_52 = torch.nn.functional.relu(out_51, inplace=True) - out_51 = None - out_53 = torch.conv2d( - out_52, - l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_52 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None - out_54 = torch.nn.functional.batch_norm( - out_53, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_53 = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn2_parameters_bias_ = None - out_55 = torch.nn.functional.relu(out_54, inplace=True) - out_54 = None - out_56 = torch.conv2d( - out_55, - l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_55 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None - out_57 = torch.nn.functional.batch_norm( - out_56, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_56 = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_2_modules_bn3_parameters_bias_ = None - out_57 += out_49 - out_58 = out_57 - out_57 = out_49 = None - out_59 = torch.nn.functional.relu(out_58, inplace=True) - out_58 = None - out_60 = torch.conv2d( - out_59, - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer2_modules_3_modules_conv1_parameters_weight_ = None - out_61 = torch.nn.functional.batch_norm( - out_60, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_60 = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn1_parameters_bias_ = None - out_62 = torch.nn.functional.relu(out_61, inplace=True) - out_61 = None - out_63 = torch.conv2d( - out_62, - l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_62 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None - out_64 = torch.nn.functional.batch_norm( - out_63, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_63 = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn2_parameters_bias_ = None - out_65 = torch.nn.functional.relu(out_64, inplace=True) - out_64 = None - out_66 = torch.conv2d( - out_65, - l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_65 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None - out_67 = torch.nn.functional.batch_norm( - out_66, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_66 = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer2_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer2_modules_3_modules_bn3_parameters_bias_ = None - out_67 += out_59 - out_68 = out_67 - out_67 = out_59 = None - out_69 = torch.nn.functional.relu(out_68, inplace=True) - out_68 = None - out_70 = torch.conv2d( - out_69, - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None - out_71 = torch.nn.functional.batch_norm( - out_70, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_70 = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn1_parameters_bias_ = None - out_72 = torch.nn.functional.relu(out_71, inplace=True) - out_71 = None - out_73 = torch.conv2d( - out_72, - l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - out_72 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None - out_74 = torch.nn.functional.batch_norm( - out_73, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_73 = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn2_parameters_bias_ = None - out_75 = torch.nn.functional.relu(out_74, inplace=True) - out_74 = None - out_76 = torch.conv2d( - out_75, - l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_75 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None - out_77 = torch.nn.functional.batch_norm( - out_76, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_76 = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_0_modules_bn3_parameters_bias_ = None - input_5 = torch.conv2d( - out_69, - l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - out_69 = l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_6 = torch.nn.functional.batch_norm( - input_5, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_5 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_77 += input_6 - out_78 = out_77 - out_77 = input_6 = None - out_79 = torch.nn.functional.relu(out_78, inplace=True) - out_78 = None - out_80 = torch.conv2d( - out_79, - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None - out_81 = torch.nn.functional.batch_norm( - out_80, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_80 = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn1_parameters_bias_ = None - out_82 = torch.nn.functional.relu(out_81, inplace=True) - out_81 = None - out_83 = torch.conv2d( - out_82, - l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_82 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None - out_84 = torch.nn.functional.batch_norm( - out_83, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_83 = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn2_parameters_bias_ = None - out_85 = torch.nn.functional.relu(out_84, inplace=True) - out_84 = None - out_86 = torch.conv2d( - out_85, - l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_85 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None - out_87 = torch.nn.functional.batch_norm( - out_86, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_86 = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_1_modules_bn3_parameters_bias_ = None - out_87 += out_79 - out_88 = out_87 - out_87 = out_79 = None - out_89 = torch.nn.functional.relu(out_88, inplace=True) - out_88 = None - out_90 = torch.conv2d( - out_89, - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_2_modules_conv1_parameters_weight_ = None - out_91 = torch.nn.functional.batch_norm( - out_90, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_90 = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn1_parameters_bias_ = None - out_92 = torch.nn.functional.relu(out_91, inplace=True) - out_91 = None - out_93 = torch.conv2d( - out_92, - l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_92 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None - out_94 = torch.nn.functional.batch_norm( - out_93, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_93 = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn2_parameters_bias_ = None - out_95 = torch.nn.functional.relu(out_94, inplace=True) - out_94 = None - out_96 = torch.conv2d( - out_95, - l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_95 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None - out_97 = torch.nn.functional.batch_norm( - out_96, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_96 = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_2_modules_bn3_parameters_bias_ = None - out_97 += out_89 - out_98 = out_97 - out_97 = out_89 = None - out_99 = torch.nn.functional.relu(out_98, inplace=True) - out_98 = None - out_100 = torch.conv2d( - out_99, - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_3_modules_conv1_parameters_weight_ = None - out_101 = torch.nn.functional.batch_norm( - out_100, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_100 = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn1_parameters_bias_ = None - out_102 = torch.nn.functional.relu(out_101, inplace=True) - out_101 = None - out_103 = torch.conv2d( - out_102, - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_102 = ( - l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ - ) = None - out_104 = torch.nn.functional.batch_norm( - out_103, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_103 = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn2_parameters_bias_ = None - out_105 = torch.nn.functional.relu(out_104, inplace=True) - out_104 = None - out_106 = torch.conv2d( - out_105, - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_105 = ( - l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ - ) = None - out_107 = torch.nn.functional.batch_norm( - out_106, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_106 = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_3_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_3_modules_bn3_parameters_bias_ = None - out_107 += out_99 - out_108 = out_107 - out_107 = out_99 = None - out_109 = torch.nn.functional.relu(out_108, inplace=True) - out_108 = None - out_110 = torch.conv2d( - out_109, - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_4_modules_conv1_parameters_weight_ = None - out_111 = torch.nn.functional.batch_norm( - out_110, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_110 = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn1_parameters_bias_ = None - out_112 = torch.nn.functional.relu(out_111, inplace=True) - out_111 = None - out_113 = torch.conv2d( - out_112, - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_112 = ( - l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ - ) = None - out_114 = torch.nn.functional.batch_norm( - out_113, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_113 = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn2_parameters_bias_ = None - out_115 = torch.nn.functional.relu(out_114, inplace=True) - out_114 = None - out_116 = torch.conv2d( - out_115, - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_115 = ( - l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ - ) = None - out_117 = torch.nn.functional.batch_norm( - out_116, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_116 = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_4_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_4_modules_bn3_parameters_bias_ = None - out_117 += out_109 - out_118 = out_117 - out_117 = out_109 = None - out_119 = torch.nn.functional.relu(out_118, inplace=True) - out_118 = None - out_120 = torch.conv2d( - out_119, - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer3_modules_5_modules_conv1_parameters_weight_ = None - out_121 = torch.nn.functional.batch_norm( - out_120, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_120 = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn1_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn1_parameters_bias_ = None - out_122 = torch.nn.functional.relu(out_121, inplace=True) - out_121 = None - out_123 = torch.conv2d( - out_122, - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_122 = ( - l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ - ) = None - out_124 = torch.nn.functional.batch_norm( - out_123, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_123 = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn2_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn2_parameters_bias_ = None - out_125 = torch.nn.functional.relu(out_124, inplace=True) - out_124 = None - out_126 = torch.conv2d( - out_125, - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_125 = ( - l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ - ) = None - out_127 = torch.nn.functional.batch_norm( - out_126, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_, - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_, - l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_126 = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer3_modules_5_modules_bn3_parameters_weight_ - ) = l_self_modules_layer3_modules_5_modules_bn3_parameters_bias_ = None - out_127 += out_119 - out_128 = out_127 - out_127 = out_119 = None - out_129 = torch.nn.functional.relu(out_128, inplace=True) - out_128 = None - out_130 = torch.conv2d( - out_129, - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None - out_131 = torch.nn.functional.batch_norm( - out_130, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_130 = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn1_parameters_bias_ = None - out_132 = torch.nn.functional.relu(out_131, inplace=True) - out_131 = None - out_133 = torch.conv2d( - out_132, - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_, - None, - (2, 2), - (1, 1), - (1, 1), - 1, - ) - out_132 = ( - l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ - ) = None - out_134 = torch.nn.functional.batch_norm( - out_133, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_133 = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn2_parameters_bias_ = None - out_135 = torch.nn.functional.relu(out_134, inplace=True) - out_134 = None - out_136 = torch.conv2d( - out_135, - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_135 = ( - l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ - ) = None - out_137 = torch.nn.functional.batch_norm( - out_136, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_136 = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_0_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_0_modules_bn3_parameters_bias_ = None - input_7 = torch.conv2d( - out_129, - l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_, - None, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - out_129 = l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) - input_8 = torch.nn.functional.batch_norm( - input_7, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, - l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - input_7 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = (None) - out_137 += input_8 - out_138 = out_137 - out_137 = input_8 = None - out_139 = torch.nn.functional.relu(out_138, inplace=True) - out_138 = None - out_140 = torch.conv2d( - out_139, - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None - out_141 = torch.nn.functional.batch_norm( - out_140, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_140 = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn1_parameters_bias_ = None - out_142 = torch.nn.functional.relu(out_141, inplace=True) - out_141 = None - out_143 = torch.conv2d( - out_142, - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_142 = ( - l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ - ) = None - out_144 = torch.nn.functional.batch_norm( - out_143, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_143 = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn2_parameters_bias_ = None - out_145 = torch.nn.functional.relu(out_144, inplace=True) - out_144 = None - out_146 = torch.conv2d( - out_145, - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_145 = ( - l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ - ) = None - out_147 = torch.nn.functional.batch_norm( - out_146, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_146 = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_1_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_1_modules_bn3_parameters_bias_ = None - out_147 += out_139 - out_148 = out_147 - out_147 = out_139 = None - out_149 = torch.nn.functional.relu(out_148, inplace=True) - out_148 = None - out_150 = torch.conv2d( - out_149, - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - l_self_modules_layer4_modules_2_modules_conv1_parameters_weight_ = None - out_151 = torch.nn.functional.batch_norm( - out_150, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_150 = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn1_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn1_parameters_bias_ = None - out_152 = torch.nn.functional.relu(out_151, inplace=True) - out_151 = None - out_153 = torch.conv2d( - out_152, - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_, - None, - (1, 1), - (1, 1), - (1, 1), - 1, - ) - out_152 = ( - l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ - ) = None - out_154 = torch.nn.functional.batch_norm( - out_153, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_153 = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn2_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn2_parameters_bias_ = None - out_155 = torch.nn.functional.relu(out_154, inplace=True) - out_154 = None - out_156 = torch.conv2d( - out_155, - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_, - None, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - out_155 = ( - l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ - ) = None - out_157 = torch.nn.functional.batch_norm( - out_156, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_, - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_, - l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_, - False, - 0.1, - 1e-05, - ) - out_156 = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_ - ) = ( - l_self_modules_layer4_modules_2_modules_bn3_parameters_weight_ - ) = l_self_modules_layer4_modules_2_modules_bn3_parameters_bias_ = None - out_157 += out_149 - out_158 = out_157 - out_157 = out_149 = None - out_159 = torch.nn.functional.relu(out_158, inplace=True) - out_158 = None - x_4 = torch.nn.functional.adaptive_avg_pool2d(out_159, (1, 1)) - out_159 = None - x_5 = torch.flatten(x_4, 1) - x_4 = None - x_6 = torch._C._nn.linear( - x_5, - l_self_modules_fc_parameters_weight_, - l_self_modules_fc_parameters_bias_, - ) - x_5 = ( - l_self_modules_fc_parameters_weight_ - ) = l_self_modules_fc_parameters_bias_ = None - return (x_6,) diff --git a/samples/torchvision/wide_resnet50_2/weight_meta.py b/samples/torchvision/wide_resnet50_2/weight_meta.py deleted file mode 100644 index e1e80e909..000000000 --- a/samples/torchvision/wide_resnet50_2/weight_meta.py +++ /dev/null @@ -1,2696 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_conv1_parameters_weight_: - name = "L_self_modules_conv1_parameters_weight_" - shape = [64, 3, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.307 - data = None - - -class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] - - -class Program_weight_tensor_meta_L_x_: - name = "L_x_" - shape = [1, 3, 224, 224] - dtype = "torch.float32" - device = "cpu" - mean = 0.224 - std = 1.283 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_mean_: - name = "L_self_modules_bn1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cpu" - mean = 0.025 - std = 0.332 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_buffers_running_var_: - name = "L_self_modules_bn1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cpu" - mean = 13.118 - std = 29.068 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_weight_: - name = "L_self_modules_bn1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cpu" - mean = 2.537 - std = 1.501 - data = None - - -class Program_weight_tensor_meta_L_self_modules_bn1_parameters_bias_: - name = "L_self_modules_bn1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cpu" - mean = 2.599 - std = 4.409 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_" - shape = [128, 64, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.013 - std = 0.144 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -4.147 - std = 9.671 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 22.415 - std = 40.638 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.600 - std = 0.769 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.361 - std = 2.197 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = 0.001 - std = 0.047 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.090 - std = 3.389 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 10.818 - std = 13.763 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.240 - std = 0.684 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 0.421 - std = 2.768 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_" - shape = [256, 128, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.076 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.033 - std = 2.561 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 13.321 - std = 12.844 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 3.089 - std = 1.686 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.003 - std = 0.931 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [256, 64, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.007 - std = 0.152 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -2.188 - std = 7.365 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 49.657 - std = 39.095 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 3.354 - std = 1.751 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.003 - std = 0.931 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_" - shape = [128, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.075 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.669 - std = 1.731 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 5.516 - std = 4.419 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.895 - std = 0.686 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.648 - std = 1.610 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.055 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.395 - std = 2.479 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 7.918 - std = 3.337 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.787 - std = 0.468 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.259 - std = 1.679 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_" - shape = [256, 128, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.004 - std = 0.081 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.227 - std = 1.158 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.282 - std = 1.119 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.048 - std = 0.793 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.238 - std = 1.217 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_" - shape = [128, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.004 - std = 0.075 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.731 - std = 1.751 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 4.657 - std = 1.710 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.730 - std = 0.495 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.673 - std = 1.421 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_" - shape = [128, 128, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.051 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -1.048 - std = 1.047 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 5.686 - std = 2.047 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 1.780 - std = 0.527 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.535 - std = 1.795 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_" - shape = [256, 128, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.004 - std = 0.073 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.081 - std = 1.113 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer1_modules_2_modules_bn3_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.971 - std = 0.708 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.257 - std = 0.952 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer1_modules_2_modules_bn3_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.384 - std = 1.173 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_" - shape = [256, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.006 - std = 0.082 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.485 - std = 2.272 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 7.519 - std = 2.209 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 2.226 - std = 0.475 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.744 - std = 1.016 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.035 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.925 - std = 1.088 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 6.836 - std = 2.855 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.743 - std = 0.413 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.111 - std = 1.256 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv3_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.058 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.132 - std = 1.279 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.551 - std = 1.144 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.339 - std = 0.684 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.123 - std = 0.716 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.047 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.527 - std = 1.707 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 2.214 - std = 2.529 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.915 - std = 0.734 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.123 - std = 0.716 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_" - shape = [256, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.043 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.801 - std = 2.455 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 6.650 - std = 4.629 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.299 - std = 0.448 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.829 - std = 1.130 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.157 - std = 1.538 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 3.395 - std = 1.691 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.587 - std = 0.472 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.022 - std = 1.298 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv3_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.050 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.381 - std = 0.493 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.552 - std = 0.641 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.995 - std = 0.789 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.547 - std = 1.054 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_" - shape = [256, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.045 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.544 - std = 1.396 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 5.313 - std = 1.764 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.443 - std = 0.381 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.931 - std = 0.943 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.852 - std = 1.052 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 3.667 - std = 1.806 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.787 - std = 0.521 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.112 - std = 1.069 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_conv3_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.046 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.120 - std = 0.495 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_2_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.507 - std = 0.559 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.917 - std = 0.660 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_2_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.573 - std = 1.028 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv1_parameters_weight_" - shape = [256, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.045 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.891 - std = 1.741 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 5.398 - std = 2.363 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.414 - std = 0.339 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.218 - std = 1.003 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_" - shape = [256, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.710 - std = 0.884 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.880 - std = 0.910 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 1.574 - std = 0.449 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -1.158 - std = 0.971 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.004 - std = 0.043 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.153 - std = 0.385 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.306 - std = 0.249 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.951 - std = 0.644 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.833 - std = 1.004 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_" - shape = [512, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.054 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.175 - std = 1.647 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 5.688 - std = 1.549 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.839 - std = 0.356 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.837 - std = 0.947 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.443 - std = 0.682 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 3.620 - std = 1.408 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.371 - std = 0.313 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.104 - std = 0.858 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.039 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.199 - std = 1.022 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.160 - std = 0.674 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.347 - std = 0.562 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.106 - std = 0.560 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.028 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.302 - std = 1.083 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.427 - std = 1.443 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.724 - std = 0.430 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.106 - std = 0.560 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.026 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.667 - std = 1.554 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 4.654 - std = 2.919 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.071 - std = 0.311 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.823 - std = 0.718 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.603 - std = 0.958 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.732 - std = 0.752 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.350 - std = 0.426 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.072 - std = 0.835 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.106 - std = 0.265 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.209 - std = 0.279 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.748 - std = 0.547 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.379 - std = 0.788 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.027 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.037 - std = 1.205 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 3.662 - std = 1.345 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.121 - std = 0.261 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.016 - std = 0.701 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.551 - std = 0.493 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.202 - std = 0.437 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.288 - std = 0.301 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.027 - std = 0.788 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.071 - std = 0.289 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.172 - std = 0.125 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.758 - std = 0.467 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.501 - std = 0.718 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.027 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.303 - std = 1.206 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 3.648 - std = 3.515 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.063 - std = 0.285 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.187 - std = 0.802 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.458 - std = 0.442 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.739 - std = 0.535 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.188 - std = 0.349 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.129 - std = 0.744 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.027 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.091 - std = 0.195 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_3_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.100 - std = 0.118 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.673 - std = 0.591 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_3_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.413 - std = 0.710 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.023 - std = 0.886 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 3.438 - std = 1.394 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.149 - std = 0.281 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.339 - std = 0.824 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.018 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.575 - std = 0.382 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.763 - std = 0.360 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.265 - std = 0.340 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.034 - std = 0.768 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.029 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.185 - std = 0.295 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.149 - std = 0.125 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.840 - std = 0.662 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.830 - std = 0.991 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_" - shape = [512, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.031 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.197 - std = 1.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 3.125 - std = 0.872 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.207 - std = 0.285 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -1.380 - std = 0.789 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_" - shape = [512, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.563 - std = 0.397 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.852 - std = 0.328 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 1.321 - std = 0.279 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.994 - std = 0.660 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_" - shape = [1024, 512, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.030 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.283 - std = 0.340 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.206 - std = 0.146 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.819 - std = 0.545 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: - name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.841 - std = 1.001 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_" - shape = [1024, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.038 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.994 - std = 0.906 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 3.198 - std = 0.800 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.624 - std = 0.247 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -2.169 - std = 0.720 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_" - shape = [1024, 1024, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.017 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.766 - std = 0.204 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.541 - std = 0.335 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.437 - std = 0.201 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.804 - std = 0.507 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv3_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.032 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -0.356 - std = 0.440 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 0.533 - std = 0.153 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 2.997 - std = 0.731 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -1.876 - std = 0.722 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.023 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -0.650 - std = 0.693 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 1.039 - std = 0.825 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 1.978 - std = 0.391 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_" - ) - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -1.876 - std = 0.722 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_" - shape = [1024, 2048, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -2.553 - std = 0.873 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn1_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 6.644 - std = 2.647 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.179 - std = 0.254 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn1_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.164 - std = 0.519 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_" - shape = [1024, 1024, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.015 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.819 - std = 0.429 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn2_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.024 - std = 0.425 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.370 - std = 0.219 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn2_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.414 - std = 0.599 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv3_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.028 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -0.268 - std = 0.145 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 0.161 - std = 0.167 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 2.019 - std = 0.393 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -2.488 - std = 0.526 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv1_parameters_weight_" - shape = [1024, 2048, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -2.003 - std = 0.809 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn1_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 6.139 - std = 6.119 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.385 - std = 0.506 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn1_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.447 - std = 0.715 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv2_parameters_weight_" - shape = [1024, 1024, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.013 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_mean_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -0.442 - std = 0.200 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn2_buffers_running_var_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 0.398 - std = 0.474 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = 1.199 - std = 0.492 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn2_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cpu" - mean = -1.003 - std = 0.750 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_conv3_parameters_weight_" - shape = [2048, 1024, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.005 - std = 0.025 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_mean_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -1.447 - std = 0.488 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_: - name = "L_self_modules_layer4_modules_2_modules_bn3_buffers_running_var_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 0.147 - std = 0.064 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_weight_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = 2.475 - std = 0.472 - data = None - - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_: - name = "L_self_modules_layer4_modules_2_modules_bn3_parameters_bias_" - shape = [2048] - dtype = "torch.float32" - device = "cpu" - mean = -3.598 - std = 0.699 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [1000, 2048] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.038 - data = None - - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: - name = "L_self_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.021 - data = None diff --git a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/graph_hash.txt b/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/graph_hash.txt deleted file mode 100644 index edce73f6b..000000000 --- a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -f3f5498cd2621afd1dd4f9b30101b6d67c00b133edf30bb206007c149861a8c6 \ No newline at end of file diff --git a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/graph_net.json b/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/graph_net.json deleted file mode 100644 index d9b34da15..000000000 --- a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/graph_net.json +++ /dev/null @@ -1,31 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "dynamic": false, - "model_name": "sdadas/xlm-roberta-large-twitter", - "source": "huggingface_hub", - "original_tag": [ - "transformers", - "pytorch", - "safetensors", - "xlm-roberta", - "fill-mask", - "twitter", - "en", - "es", - "it", - "pt", - "fr", - "zh", - "hi", - "ar", - "nl", - "ko", - "license:mit", - "autotrain_compatible", - "endpoints_compatible", - "region:us" - ], - "heuristic_tag": "nlp" -} \ No newline at end of file diff --git a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/input_meta.py b/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/input_tensor_constraints.py b/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/model.py b/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/model.py deleted file mode 100644 index c59597db4..000000000 --- a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/model.py +++ /dev/null @@ -1,3094 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_input_ids_: torch.Tensor, - L_self_modules_embeddings_buffers_token_type_ids_: torch.Tensor, - L_self_modules_embeddings_modules_word_embeddings_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_embeddings_modules_token_type_embeddings_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_embeddings_modules_position_embeddings_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_embeddings_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_embeddings_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_attention_mask_: torch.Tensor, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_LayerNorm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_LayerNorm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_pooler_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_pooler_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_input_ids_ = L_input_ids_ - l_self_modules_embeddings_buffers_token_type_ids_ = ( - L_self_modules_embeddings_buffers_token_type_ids_ - ) - l_self_modules_embeddings_modules_word_embeddings_parameters_weight_ = ( - L_self_modules_embeddings_modules_word_embeddings_parameters_weight_ - ) - l_self_modules_embeddings_modules_token_type_embeddings_parameters_weight_ = ( - L_self_modules_embeddings_modules_token_type_embeddings_parameters_weight_ - ) - l_self_modules_embeddings_modules_position_embeddings_parameters_weight_ = ( - L_self_modules_embeddings_modules_position_embeddings_parameters_weight_ - ) - l_self_modules_embeddings_modules_layer_norm_parameters_weight_ = ( - L_self_modules_embeddings_modules_LayerNorm_parameters_weight_ - ) - l_self_modules_embeddings_modules_layer_norm_parameters_bias_ = ( - L_self_modules_embeddings_modules_LayerNorm_parameters_bias_ - ) - l_attention_mask_ = L_attention_mask_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_bias_ - l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_layer_norm_parameters_weight_ = L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_LayerNorm_parameters_weight_ - l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_layer_norm_parameters_bias_ = L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_LayerNorm_parameters_bias_ - l_self_modules_pooler_modules_dense_parameters_weight_ = ( - L_self_modules_pooler_modules_dense_parameters_weight_ - ) - l_self_modules_pooler_modules_dense_parameters_bias_ = ( - L_self_modules_pooler_modules_dense_parameters_bias_ - ) - buffered_token_type_ids = l_self_modules_embeddings_buffers_token_type_ids_[ - (slice(None, None, None), slice(None, 15, None)) - ] - l_self_modules_embeddings_buffers_token_type_ids_ = None - buffered_token_type_ids_expanded = buffered_token_type_ids.expand(1, 15) - buffered_token_type_ids = None - ne = l_input_ids_.ne(1) - mask = ne.int() - ne = None - cumsum = torch.cumsum(mask, dim=1) - type_as = cumsum.type_as(mask) - cumsum = None - add = type_as + 0 - type_as = None - incremental_indices = add * mask - add = mask = None - long = incremental_indices.long() - incremental_indices = None - position_ids = long + 1 - long = None - inputs_embeds = torch.nn.functional.embedding( - l_input_ids_, - l_self_modules_embeddings_modules_word_embeddings_parameters_weight_, - 1, - None, - 2.0, - False, - False, - ) - l_input_ids_ = ( - l_self_modules_embeddings_modules_word_embeddings_parameters_weight_ - ) = None - token_type_embeddings = torch.nn.functional.embedding( - buffered_token_type_ids_expanded, - l_self_modules_embeddings_modules_token_type_embeddings_parameters_weight_, - None, - None, - 2.0, - False, - False, - ) - buffered_token_type_ids_expanded = ( - l_self_modules_embeddings_modules_token_type_embeddings_parameters_weight_ - ) = None - embeddings = inputs_embeds + token_type_embeddings - inputs_embeds = token_type_embeddings = None - position_embeddings = torch.nn.functional.embedding( - position_ids, - l_self_modules_embeddings_modules_position_embeddings_parameters_weight_, - 1, - None, - 2.0, - False, - False, - ) - position_ids = ( - l_self_modules_embeddings_modules_position_embeddings_parameters_weight_ - ) = None - embeddings += position_embeddings - embeddings_1 = embeddings - embeddings = position_embeddings = None - embeddings_2 = torch.nn.functional.layer_norm( - embeddings_1, - (1024,), - l_self_modules_embeddings_modules_layer_norm_parameters_weight_, - l_self_modules_embeddings_modules_layer_norm_parameters_bias_, - 1e-05, - ) - embeddings_1 = ( - l_self_modules_embeddings_modules_layer_norm_parameters_weight_ - ) = l_self_modules_embeddings_modules_layer_norm_parameters_bias_ = None - embeddings_3 = torch.nn.functional.dropout(embeddings_2, 0.1, False, False) - embeddings_2 = None - getitem_1 = l_attention_mask_[ - (slice(None, None, None), None, None, slice(None, None, None)) - ] - l_attention_mask_ = None - expand_1 = getitem_1.expand(1, 1, 15, 15) - getitem_1 = None - expanded_mask = expand_1.to(torch.float32) - expand_1 = None - tensor = torch.tensor(1.0, dtype=torch.float32) - inverted_mask = tensor - expanded_mask - tensor = expanded_mask = None - to_1 = inverted_mask.to(torch.bool) - extended_attention_mask = inverted_mask.masked_fill( - to_1, -3.4028234663852886e38 - ) - inverted_mask = to_1 = None - linear = torch._C._nn.linear( - embeddings_3, - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view = linear.view(1, -1, 16, 64) - linear = None - query_layer = view.transpose(1, 2) - view = None - linear_1 = torch._C._nn.linear( - embeddings_3, - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_1 = linear_1.view(1, -1, 16, 64) - linear_1 = None - key_layer = view_1.transpose(1, 2) - view_1 = None - linear_2 = torch._C._nn.linear( - embeddings_3, - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_2 = linear_2.view(1, -1, 16, 64) - linear_2 = None - value_layer = view_2.transpose(1, 2) - view_2 = None - attn_output = torch._C._nn.scaled_dot_product_attention( - query_layer, - key_layer, - value_layer, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer = key_layer = value_layer = None - attn_output_1 = attn_output.transpose(1, 2) - attn_output = None - attn_output_2 = attn_output_1.reshape(1, 15, 1024) - attn_output_1 = None - hidden_states = torch._C._nn.linear( - attn_output_2, - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_2 = l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_1 = torch.nn.functional.dropout(hidden_states, 0.1, False, False) - hidden_states = None - add_3 = hidden_states_1 + embeddings_3 - hidden_states_1 = embeddings_3 = None - hidden_states_2 = torch.nn.functional.layer_norm( - add_3, - (1024,), - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_3 = l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_3 = torch._C._nn.linear( - hidden_states_2, - l_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_4 = torch._C._nn.gelu(hidden_states_3) - hidden_states_3 = None - hidden_states_5 = torch._C._nn.linear( - hidden_states_4, - l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_4 = l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_6 = torch.nn.functional.dropout( - hidden_states_5, 0.1, False, False - ) - hidden_states_5 = None - add_4 = hidden_states_6 + hidden_states_2 - hidden_states_6 = hidden_states_2 = None - hidden_states_7 = torch.nn.functional.layer_norm( - add_4, - (1024,), - l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_4 = l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_0_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_6 = torch._C._nn.linear( - hidden_states_7, - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_3 = linear_6.view(1, -1, 16, 64) - linear_6 = None - query_layer_1 = view_3.transpose(1, 2) - view_3 = None - linear_7 = torch._C._nn.linear( - hidden_states_7, - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_4 = linear_7.view(1, -1, 16, 64) - linear_7 = None - key_layer_1 = view_4.transpose(1, 2) - view_4 = None - linear_8 = torch._C._nn.linear( - hidden_states_7, - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_5 = linear_8.view(1, -1, 16, 64) - linear_8 = None - value_layer_1 = view_5.transpose(1, 2) - view_5 = None - attn_output_3 = torch._C._nn.scaled_dot_product_attention( - query_layer_1, - key_layer_1, - value_layer_1, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_1 = key_layer_1 = value_layer_1 = None - attn_output_4 = attn_output_3.transpose(1, 2) - attn_output_3 = None - attn_output_5 = attn_output_4.reshape(1, 15, 1024) - attn_output_4 = None - hidden_states_8 = torch._C._nn.linear( - attn_output_5, - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_5 = l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_9 = torch.nn.functional.dropout( - hidden_states_8, 0.1, False, False - ) - hidden_states_8 = None - add_5 = hidden_states_9 + hidden_states_7 - hidden_states_9 = hidden_states_7 = None - hidden_states_10 = torch.nn.functional.layer_norm( - add_5, - (1024,), - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_5 = l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_11 = torch._C._nn.linear( - hidden_states_10, - l_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_12 = torch._C._nn.gelu(hidden_states_11) - hidden_states_11 = None - hidden_states_13 = torch._C._nn.linear( - hidden_states_12, - l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_12 = l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_14 = torch.nn.functional.dropout( - hidden_states_13, 0.1, False, False - ) - hidden_states_13 = None - add_6 = hidden_states_14 + hidden_states_10 - hidden_states_14 = hidden_states_10 = None - hidden_states_15 = torch.nn.functional.layer_norm( - add_6, - (1024,), - l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_6 = l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_1_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_12 = torch._C._nn.linear( - hidden_states_15, - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_6 = linear_12.view(1, -1, 16, 64) - linear_12 = None - query_layer_2 = view_6.transpose(1, 2) - view_6 = None - linear_13 = torch._C._nn.linear( - hidden_states_15, - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_7 = linear_13.view(1, -1, 16, 64) - linear_13 = None - key_layer_2 = view_7.transpose(1, 2) - view_7 = None - linear_14 = torch._C._nn.linear( - hidden_states_15, - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_8 = linear_14.view(1, -1, 16, 64) - linear_14 = None - value_layer_2 = view_8.transpose(1, 2) - view_8 = None - attn_output_6 = torch._C._nn.scaled_dot_product_attention( - query_layer_2, - key_layer_2, - value_layer_2, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_2 = key_layer_2 = value_layer_2 = None - attn_output_7 = attn_output_6.transpose(1, 2) - attn_output_6 = None - attn_output_8 = attn_output_7.reshape(1, 15, 1024) - attn_output_7 = None - hidden_states_16 = torch._C._nn.linear( - attn_output_8, - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_8 = l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_17 = torch.nn.functional.dropout( - hidden_states_16, 0.1, False, False - ) - hidden_states_16 = None - add_7 = hidden_states_17 + hidden_states_15 - hidden_states_17 = hidden_states_15 = None - hidden_states_18 = torch.nn.functional.layer_norm( - add_7, - (1024,), - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_7 = l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_19 = torch._C._nn.linear( - hidden_states_18, - l_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_20 = torch._C._nn.gelu(hidden_states_19) - hidden_states_19 = None - hidden_states_21 = torch._C._nn.linear( - hidden_states_20, - l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_20 = l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_22 = torch.nn.functional.dropout( - hidden_states_21, 0.1, False, False - ) - hidden_states_21 = None - add_8 = hidden_states_22 + hidden_states_18 - hidden_states_22 = hidden_states_18 = None - hidden_states_23 = torch.nn.functional.layer_norm( - add_8, - (1024,), - l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_8 = l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_2_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_18 = torch._C._nn.linear( - hidden_states_23, - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_9 = linear_18.view(1, -1, 16, 64) - linear_18 = None - query_layer_3 = view_9.transpose(1, 2) - view_9 = None - linear_19 = torch._C._nn.linear( - hidden_states_23, - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_10 = linear_19.view(1, -1, 16, 64) - linear_19 = None - key_layer_3 = view_10.transpose(1, 2) - view_10 = None - linear_20 = torch._C._nn.linear( - hidden_states_23, - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_11 = linear_20.view(1, -1, 16, 64) - linear_20 = None - value_layer_3 = view_11.transpose(1, 2) - view_11 = None - attn_output_9 = torch._C._nn.scaled_dot_product_attention( - query_layer_3, - key_layer_3, - value_layer_3, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_3 = key_layer_3 = value_layer_3 = None - attn_output_10 = attn_output_9.transpose(1, 2) - attn_output_9 = None - attn_output_11 = attn_output_10.reshape(1, 15, 1024) - attn_output_10 = None - hidden_states_24 = torch._C._nn.linear( - attn_output_11, - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_11 = l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_25 = torch.nn.functional.dropout( - hidden_states_24, 0.1, False, False - ) - hidden_states_24 = None - add_9 = hidden_states_25 + hidden_states_23 - hidden_states_25 = hidden_states_23 = None - hidden_states_26 = torch.nn.functional.layer_norm( - add_9, - (1024,), - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_9 = l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_27 = torch._C._nn.linear( - hidden_states_26, - l_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_28 = torch._C._nn.gelu(hidden_states_27) - hidden_states_27 = None - hidden_states_29 = torch._C._nn.linear( - hidden_states_28, - l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_28 = l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_30 = torch.nn.functional.dropout( - hidden_states_29, 0.1, False, False - ) - hidden_states_29 = None - add_10 = hidden_states_30 + hidden_states_26 - hidden_states_30 = hidden_states_26 = None - hidden_states_31 = torch.nn.functional.layer_norm( - add_10, - (1024,), - l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_10 = l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_3_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_24 = torch._C._nn.linear( - hidden_states_31, - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_12 = linear_24.view(1, -1, 16, 64) - linear_24 = None - query_layer_4 = view_12.transpose(1, 2) - view_12 = None - linear_25 = torch._C._nn.linear( - hidden_states_31, - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_13 = linear_25.view(1, -1, 16, 64) - linear_25 = None - key_layer_4 = view_13.transpose(1, 2) - view_13 = None - linear_26 = torch._C._nn.linear( - hidden_states_31, - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_14 = linear_26.view(1, -1, 16, 64) - linear_26 = None - value_layer_4 = view_14.transpose(1, 2) - view_14 = None - attn_output_12 = torch._C._nn.scaled_dot_product_attention( - query_layer_4, - key_layer_4, - value_layer_4, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_4 = key_layer_4 = value_layer_4 = None - attn_output_13 = attn_output_12.transpose(1, 2) - attn_output_12 = None - attn_output_14 = attn_output_13.reshape(1, 15, 1024) - attn_output_13 = None - hidden_states_32 = torch._C._nn.linear( - attn_output_14, - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_14 = l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_33 = torch.nn.functional.dropout( - hidden_states_32, 0.1, False, False - ) - hidden_states_32 = None - add_11 = hidden_states_33 + hidden_states_31 - hidden_states_33 = hidden_states_31 = None - hidden_states_34 = torch.nn.functional.layer_norm( - add_11, - (1024,), - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_11 = l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_35 = torch._C._nn.linear( - hidden_states_34, - l_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_36 = torch._C._nn.gelu(hidden_states_35) - hidden_states_35 = None - hidden_states_37 = torch._C._nn.linear( - hidden_states_36, - l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_36 = l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_38 = torch.nn.functional.dropout( - hidden_states_37, 0.1, False, False - ) - hidden_states_37 = None - add_12 = hidden_states_38 + hidden_states_34 - hidden_states_38 = hidden_states_34 = None - hidden_states_39 = torch.nn.functional.layer_norm( - add_12, - (1024,), - l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_12 = l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_4_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_30 = torch._C._nn.linear( - hidden_states_39, - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_15 = linear_30.view(1, -1, 16, 64) - linear_30 = None - query_layer_5 = view_15.transpose(1, 2) - view_15 = None - linear_31 = torch._C._nn.linear( - hidden_states_39, - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_16 = linear_31.view(1, -1, 16, 64) - linear_31 = None - key_layer_5 = view_16.transpose(1, 2) - view_16 = None - linear_32 = torch._C._nn.linear( - hidden_states_39, - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_17 = linear_32.view(1, -1, 16, 64) - linear_32 = None - value_layer_5 = view_17.transpose(1, 2) - view_17 = None - attn_output_15 = torch._C._nn.scaled_dot_product_attention( - query_layer_5, - key_layer_5, - value_layer_5, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_5 = key_layer_5 = value_layer_5 = None - attn_output_16 = attn_output_15.transpose(1, 2) - attn_output_15 = None - attn_output_17 = attn_output_16.reshape(1, 15, 1024) - attn_output_16 = None - hidden_states_40 = torch._C._nn.linear( - attn_output_17, - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_17 = l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_41 = torch.nn.functional.dropout( - hidden_states_40, 0.1, False, False - ) - hidden_states_40 = None - add_13 = hidden_states_41 + hidden_states_39 - hidden_states_41 = hidden_states_39 = None - hidden_states_42 = torch.nn.functional.layer_norm( - add_13, - (1024,), - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_13 = l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_43 = torch._C._nn.linear( - hidden_states_42, - l_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_44 = torch._C._nn.gelu(hidden_states_43) - hidden_states_43 = None - hidden_states_45 = torch._C._nn.linear( - hidden_states_44, - l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_44 = l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_46 = torch.nn.functional.dropout( - hidden_states_45, 0.1, False, False - ) - hidden_states_45 = None - add_14 = hidden_states_46 + hidden_states_42 - hidden_states_46 = hidden_states_42 = None - hidden_states_47 = torch.nn.functional.layer_norm( - add_14, - (1024,), - l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_14 = l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_5_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_36 = torch._C._nn.linear( - hidden_states_47, - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_18 = linear_36.view(1, -1, 16, 64) - linear_36 = None - query_layer_6 = view_18.transpose(1, 2) - view_18 = None - linear_37 = torch._C._nn.linear( - hidden_states_47, - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_19 = linear_37.view(1, -1, 16, 64) - linear_37 = None - key_layer_6 = view_19.transpose(1, 2) - view_19 = None - linear_38 = torch._C._nn.linear( - hidden_states_47, - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_20 = linear_38.view(1, -1, 16, 64) - linear_38 = None - value_layer_6 = view_20.transpose(1, 2) - view_20 = None - attn_output_18 = torch._C._nn.scaled_dot_product_attention( - query_layer_6, - key_layer_6, - value_layer_6, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_6 = key_layer_6 = value_layer_6 = None - attn_output_19 = attn_output_18.transpose(1, 2) - attn_output_18 = None - attn_output_20 = attn_output_19.reshape(1, 15, 1024) - attn_output_19 = None - hidden_states_48 = torch._C._nn.linear( - attn_output_20, - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_20 = l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_49 = torch.nn.functional.dropout( - hidden_states_48, 0.1, False, False - ) - hidden_states_48 = None - add_15 = hidden_states_49 + hidden_states_47 - hidden_states_49 = hidden_states_47 = None - hidden_states_50 = torch.nn.functional.layer_norm( - add_15, - (1024,), - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_15 = l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_51 = torch._C._nn.linear( - hidden_states_50, - l_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_52 = torch._C._nn.gelu(hidden_states_51) - hidden_states_51 = None - hidden_states_53 = torch._C._nn.linear( - hidden_states_52, - l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_52 = l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_54 = torch.nn.functional.dropout( - hidden_states_53, 0.1, False, False - ) - hidden_states_53 = None - add_16 = hidden_states_54 + hidden_states_50 - hidden_states_54 = hidden_states_50 = None - hidden_states_55 = torch.nn.functional.layer_norm( - add_16, - (1024,), - l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_16 = l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_6_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_42 = torch._C._nn.linear( - hidden_states_55, - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_21 = linear_42.view(1, -1, 16, 64) - linear_42 = None - query_layer_7 = view_21.transpose(1, 2) - view_21 = None - linear_43 = torch._C._nn.linear( - hidden_states_55, - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_22 = linear_43.view(1, -1, 16, 64) - linear_43 = None - key_layer_7 = view_22.transpose(1, 2) - view_22 = None - linear_44 = torch._C._nn.linear( - hidden_states_55, - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_23 = linear_44.view(1, -1, 16, 64) - linear_44 = None - value_layer_7 = view_23.transpose(1, 2) - view_23 = None - attn_output_21 = torch._C._nn.scaled_dot_product_attention( - query_layer_7, - key_layer_7, - value_layer_7, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_7 = key_layer_7 = value_layer_7 = None - attn_output_22 = attn_output_21.transpose(1, 2) - attn_output_21 = None - attn_output_23 = attn_output_22.reshape(1, 15, 1024) - attn_output_22 = None - hidden_states_56 = torch._C._nn.linear( - attn_output_23, - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_23 = l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_57 = torch.nn.functional.dropout( - hidden_states_56, 0.1, False, False - ) - hidden_states_56 = None - add_17 = hidden_states_57 + hidden_states_55 - hidden_states_57 = hidden_states_55 = None - hidden_states_58 = torch.nn.functional.layer_norm( - add_17, - (1024,), - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_17 = l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_59 = torch._C._nn.linear( - hidden_states_58, - l_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_60 = torch._C._nn.gelu(hidden_states_59) - hidden_states_59 = None - hidden_states_61 = torch._C._nn.linear( - hidden_states_60, - l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_60 = l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_62 = torch.nn.functional.dropout( - hidden_states_61, 0.1, False, False - ) - hidden_states_61 = None - add_18 = hidden_states_62 + hidden_states_58 - hidden_states_62 = hidden_states_58 = None - hidden_states_63 = torch.nn.functional.layer_norm( - add_18, - (1024,), - l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_18 = l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_7_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_48 = torch._C._nn.linear( - hidden_states_63, - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_24 = linear_48.view(1, -1, 16, 64) - linear_48 = None - query_layer_8 = view_24.transpose(1, 2) - view_24 = None - linear_49 = torch._C._nn.linear( - hidden_states_63, - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_25 = linear_49.view(1, -1, 16, 64) - linear_49 = None - key_layer_8 = view_25.transpose(1, 2) - view_25 = None - linear_50 = torch._C._nn.linear( - hidden_states_63, - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_26 = linear_50.view(1, -1, 16, 64) - linear_50 = None - value_layer_8 = view_26.transpose(1, 2) - view_26 = None - attn_output_24 = torch._C._nn.scaled_dot_product_attention( - query_layer_8, - key_layer_8, - value_layer_8, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_8 = key_layer_8 = value_layer_8 = None - attn_output_25 = attn_output_24.transpose(1, 2) - attn_output_24 = None - attn_output_26 = attn_output_25.reshape(1, 15, 1024) - attn_output_25 = None - hidden_states_64 = torch._C._nn.linear( - attn_output_26, - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_26 = l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_65 = torch.nn.functional.dropout( - hidden_states_64, 0.1, False, False - ) - hidden_states_64 = None - add_19 = hidden_states_65 + hidden_states_63 - hidden_states_65 = hidden_states_63 = None - hidden_states_66 = torch.nn.functional.layer_norm( - add_19, - (1024,), - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_19 = l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_67 = torch._C._nn.linear( - hidden_states_66, - l_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_68 = torch._C._nn.gelu(hidden_states_67) - hidden_states_67 = None - hidden_states_69 = torch._C._nn.linear( - hidden_states_68, - l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_68 = l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_70 = torch.nn.functional.dropout( - hidden_states_69, 0.1, False, False - ) - hidden_states_69 = None - add_20 = hidden_states_70 + hidden_states_66 - hidden_states_70 = hidden_states_66 = None - hidden_states_71 = torch.nn.functional.layer_norm( - add_20, - (1024,), - l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_20 = l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_8_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_54 = torch._C._nn.linear( - hidden_states_71, - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_27 = linear_54.view(1, -1, 16, 64) - linear_54 = None - query_layer_9 = view_27.transpose(1, 2) - view_27 = None - linear_55 = torch._C._nn.linear( - hidden_states_71, - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_28 = linear_55.view(1, -1, 16, 64) - linear_55 = None - key_layer_9 = view_28.transpose(1, 2) - view_28 = None - linear_56 = torch._C._nn.linear( - hidden_states_71, - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_29 = linear_56.view(1, -1, 16, 64) - linear_56 = None - value_layer_9 = view_29.transpose(1, 2) - view_29 = None - attn_output_27 = torch._C._nn.scaled_dot_product_attention( - query_layer_9, - key_layer_9, - value_layer_9, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_9 = key_layer_9 = value_layer_9 = None - attn_output_28 = attn_output_27.transpose(1, 2) - attn_output_27 = None - attn_output_29 = attn_output_28.reshape(1, 15, 1024) - attn_output_28 = None - hidden_states_72 = torch._C._nn.linear( - attn_output_29, - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_29 = l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_73 = torch.nn.functional.dropout( - hidden_states_72, 0.1, False, False - ) - hidden_states_72 = None - add_21 = hidden_states_73 + hidden_states_71 - hidden_states_73 = hidden_states_71 = None - hidden_states_74 = torch.nn.functional.layer_norm( - add_21, - (1024,), - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_21 = l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_75 = torch._C._nn.linear( - hidden_states_74, - l_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_76 = torch._C._nn.gelu(hidden_states_75) - hidden_states_75 = None - hidden_states_77 = torch._C._nn.linear( - hidden_states_76, - l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_76 = l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_78 = torch.nn.functional.dropout( - hidden_states_77, 0.1, False, False - ) - hidden_states_77 = None - add_22 = hidden_states_78 + hidden_states_74 - hidden_states_78 = hidden_states_74 = None - hidden_states_79 = torch.nn.functional.layer_norm( - add_22, - (1024,), - l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_22 = l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_9_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_60 = torch._C._nn.linear( - hidden_states_79, - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_30 = linear_60.view(1, -1, 16, 64) - linear_60 = None - query_layer_10 = view_30.transpose(1, 2) - view_30 = None - linear_61 = torch._C._nn.linear( - hidden_states_79, - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_31 = linear_61.view(1, -1, 16, 64) - linear_61 = None - key_layer_10 = view_31.transpose(1, 2) - view_31 = None - linear_62 = torch._C._nn.linear( - hidden_states_79, - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_32 = linear_62.view(1, -1, 16, 64) - linear_62 = None - value_layer_10 = view_32.transpose(1, 2) - view_32 = None - attn_output_30 = torch._C._nn.scaled_dot_product_attention( - query_layer_10, - key_layer_10, - value_layer_10, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_10 = key_layer_10 = value_layer_10 = None - attn_output_31 = attn_output_30.transpose(1, 2) - attn_output_30 = None - attn_output_32 = attn_output_31.reshape(1, 15, 1024) - attn_output_31 = None - hidden_states_80 = torch._C._nn.linear( - attn_output_32, - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_32 = l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_81 = torch.nn.functional.dropout( - hidden_states_80, 0.1, False, False - ) - hidden_states_80 = None - add_23 = hidden_states_81 + hidden_states_79 - hidden_states_81 = hidden_states_79 = None - hidden_states_82 = torch.nn.functional.layer_norm( - add_23, - (1024,), - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_23 = l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_83 = torch._C._nn.linear( - hidden_states_82, - l_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_84 = torch._C._nn.gelu(hidden_states_83) - hidden_states_83 = None - hidden_states_85 = torch._C._nn.linear( - hidden_states_84, - l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_84 = l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_86 = torch.nn.functional.dropout( - hidden_states_85, 0.1, False, False - ) - hidden_states_85 = None - add_24 = hidden_states_86 + hidden_states_82 - hidden_states_86 = hidden_states_82 = None - hidden_states_87 = torch.nn.functional.layer_norm( - add_24, - (1024,), - l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_24 = l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_10_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_66 = torch._C._nn.linear( - hidden_states_87, - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_33 = linear_66.view(1, -1, 16, 64) - linear_66 = None - query_layer_11 = view_33.transpose(1, 2) - view_33 = None - linear_67 = torch._C._nn.linear( - hidden_states_87, - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_34 = linear_67.view(1, -1, 16, 64) - linear_67 = None - key_layer_11 = view_34.transpose(1, 2) - view_34 = None - linear_68 = torch._C._nn.linear( - hidden_states_87, - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_35 = linear_68.view(1, -1, 16, 64) - linear_68 = None - value_layer_11 = view_35.transpose(1, 2) - view_35 = None - attn_output_33 = torch._C._nn.scaled_dot_product_attention( - query_layer_11, - key_layer_11, - value_layer_11, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_11 = key_layer_11 = value_layer_11 = None - attn_output_34 = attn_output_33.transpose(1, 2) - attn_output_33 = None - attn_output_35 = attn_output_34.reshape(1, 15, 1024) - attn_output_34 = None - hidden_states_88 = torch._C._nn.linear( - attn_output_35, - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_35 = l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_89 = torch.nn.functional.dropout( - hidden_states_88, 0.1, False, False - ) - hidden_states_88 = None - add_25 = hidden_states_89 + hidden_states_87 - hidden_states_89 = hidden_states_87 = None - hidden_states_90 = torch.nn.functional.layer_norm( - add_25, - (1024,), - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_25 = l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_91 = torch._C._nn.linear( - hidden_states_90, - l_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_92 = torch._C._nn.gelu(hidden_states_91) - hidden_states_91 = None - hidden_states_93 = torch._C._nn.linear( - hidden_states_92, - l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_92 = l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_94 = torch.nn.functional.dropout( - hidden_states_93, 0.1, False, False - ) - hidden_states_93 = None - add_26 = hidden_states_94 + hidden_states_90 - hidden_states_94 = hidden_states_90 = None - hidden_states_95 = torch.nn.functional.layer_norm( - add_26, - (1024,), - l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_26 = l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_11_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_72 = torch._C._nn.linear( - hidden_states_95, - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_36 = linear_72.view(1, -1, 16, 64) - linear_72 = None - query_layer_12 = view_36.transpose(1, 2) - view_36 = None - linear_73 = torch._C._nn.linear( - hidden_states_95, - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_37 = linear_73.view(1, -1, 16, 64) - linear_73 = None - key_layer_12 = view_37.transpose(1, 2) - view_37 = None - linear_74 = torch._C._nn.linear( - hidden_states_95, - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_38 = linear_74.view(1, -1, 16, 64) - linear_74 = None - value_layer_12 = view_38.transpose(1, 2) - view_38 = None - attn_output_36 = torch._C._nn.scaled_dot_product_attention( - query_layer_12, - key_layer_12, - value_layer_12, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_12 = key_layer_12 = value_layer_12 = None - attn_output_37 = attn_output_36.transpose(1, 2) - attn_output_36 = None - attn_output_38 = attn_output_37.reshape(1, 15, 1024) - attn_output_37 = None - hidden_states_96 = torch._C._nn.linear( - attn_output_38, - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_38 = l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_97 = torch.nn.functional.dropout( - hidden_states_96, 0.1, False, False - ) - hidden_states_96 = None - add_27 = hidden_states_97 + hidden_states_95 - hidden_states_97 = hidden_states_95 = None - hidden_states_98 = torch.nn.functional.layer_norm( - add_27, - (1024,), - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_27 = l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_99 = torch._C._nn.linear( - hidden_states_98, - l_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_100 = torch._C._nn.gelu(hidden_states_99) - hidden_states_99 = None - hidden_states_101 = torch._C._nn.linear( - hidden_states_100, - l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_100 = l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_102 = torch.nn.functional.dropout( - hidden_states_101, 0.1, False, False - ) - hidden_states_101 = None - add_28 = hidden_states_102 + hidden_states_98 - hidden_states_102 = hidden_states_98 = None - hidden_states_103 = torch.nn.functional.layer_norm( - add_28, - (1024,), - l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_28 = l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_12_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_78 = torch._C._nn.linear( - hidden_states_103, - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_39 = linear_78.view(1, -1, 16, 64) - linear_78 = None - query_layer_13 = view_39.transpose(1, 2) - view_39 = None - linear_79 = torch._C._nn.linear( - hidden_states_103, - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_40 = linear_79.view(1, -1, 16, 64) - linear_79 = None - key_layer_13 = view_40.transpose(1, 2) - view_40 = None - linear_80 = torch._C._nn.linear( - hidden_states_103, - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_41 = linear_80.view(1, -1, 16, 64) - linear_80 = None - value_layer_13 = view_41.transpose(1, 2) - view_41 = None - attn_output_39 = torch._C._nn.scaled_dot_product_attention( - query_layer_13, - key_layer_13, - value_layer_13, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_13 = key_layer_13 = value_layer_13 = None - attn_output_40 = attn_output_39.transpose(1, 2) - attn_output_39 = None - attn_output_41 = attn_output_40.reshape(1, 15, 1024) - attn_output_40 = None - hidden_states_104 = torch._C._nn.linear( - attn_output_41, - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_41 = l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_105 = torch.nn.functional.dropout( - hidden_states_104, 0.1, False, False - ) - hidden_states_104 = None - add_29 = hidden_states_105 + hidden_states_103 - hidden_states_105 = hidden_states_103 = None - hidden_states_106 = torch.nn.functional.layer_norm( - add_29, - (1024,), - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_29 = l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_107 = torch._C._nn.linear( - hidden_states_106, - l_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_108 = torch._C._nn.gelu(hidden_states_107) - hidden_states_107 = None - hidden_states_109 = torch._C._nn.linear( - hidden_states_108, - l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_108 = l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_110 = torch.nn.functional.dropout( - hidden_states_109, 0.1, False, False - ) - hidden_states_109 = None - add_30 = hidden_states_110 + hidden_states_106 - hidden_states_110 = hidden_states_106 = None - hidden_states_111 = torch.nn.functional.layer_norm( - add_30, - (1024,), - l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_30 = l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_13_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_84 = torch._C._nn.linear( - hidden_states_111, - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_42 = linear_84.view(1, -1, 16, 64) - linear_84 = None - query_layer_14 = view_42.transpose(1, 2) - view_42 = None - linear_85 = torch._C._nn.linear( - hidden_states_111, - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_43 = linear_85.view(1, -1, 16, 64) - linear_85 = None - key_layer_14 = view_43.transpose(1, 2) - view_43 = None - linear_86 = torch._C._nn.linear( - hidden_states_111, - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_44 = linear_86.view(1, -1, 16, 64) - linear_86 = None - value_layer_14 = view_44.transpose(1, 2) - view_44 = None - attn_output_42 = torch._C._nn.scaled_dot_product_attention( - query_layer_14, - key_layer_14, - value_layer_14, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_14 = key_layer_14 = value_layer_14 = None - attn_output_43 = attn_output_42.transpose(1, 2) - attn_output_42 = None - attn_output_44 = attn_output_43.reshape(1, 15, 1024) - attn_output_43 = None - hidden_states_112 = torch._C._nn.linear( - attn_output_44, - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_44 = l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_113 = torch.nn.functional.dropout( - hidden_states_112, 0.1, False, False - ) - hidden_states_112 = None - add_31 = hidden_states_113 + hidden_states_111 - hidden_states_113 = hidden_states_111 = None - hidden_states_114 = torch.nn.functional.layer_norm( - add_31, - (1024,), - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_31 = l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_115 = torch._C._nn.linear( - hidden_states_114, - l_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_116 = torch._C._nn.gelu(hidden_states_115) - hidden_states_115 = None - hidden_states_117 = torch._C._nn.linear( - hidden_states_116, - l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_116 = l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_118 = torch.nn.functional.dropout( - hidden_states_117, 0.1, False, False - ) - hidden_states_117 = None - add_32 = hidden_states_118 + hidden_states_114 - hidden_states_118 = hidden_states_114 = None - hidden_states_119 = torch.nn.functional.layer_norm( - add_32, - (1024,), - l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_32 = l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_14_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_90 = torch._C._nn.linear( - hidden_states_119, - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_45 = linear_90.view(1, -1, 16, 64) - linear_90 = None - query_layer_15 = view_45.transpose(1, 2) - view_45 = None - linear_91 = torch._C._nn.linear( - hidden_states_119, - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_46 = linear_91.view(1, -1, 16, 64) - linear_91 = None - key_layer_15 = view_46.transpose(1, 2) - view_46 = None - linear_92 = torch._C._nn.linear( - hidden_states_119, - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_47 = linear_92.view(1, -1, 16, 64) - linear_92 = None - value_layer_15 = view_47.transpose(1, 2) - view_47 = None - attn_output_45 = torch._C._nn.scaled_dot_product_attention( - query_layer_15, - key_layer_15, - value_layer_15, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_15 = key_layer_15 = value_layer_15 = None - attn_output_46 = attn_output_45.transpose(1, 2) - attn_output_45 = None - attn_output_47 = attn_output_46.reshape(1, 15, 1024) - attn_output_46 = None - hidden_states_120 = torch._C._nn.linear( - attn_output_47, - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_47 = l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_121 = torch.nn.functional.dropout( - hidden_states_120, 0.1, False, False - ) - hidden_states_120 = None - add_33 = hidden_states_121 + hidden_states_119 - hidden_states_121 = hidden_states_119 = None - hidden_states_122 = torch.nn.functional.layer_norm( - add_33, - (1024,), - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_33 = l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_123 = torch._C._nn.linear( - hidden_states_122, - l_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_124 = torch._C._nn.gelu(hidden_states_123) - hidden_states_123 = None - hidden_states_125 = torch._C._nn.linear( - hidden_states_124, - l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_124 = l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_126 = torch.nn.functional.dropout( - hidden_states_125, 0.1, False, False - ) - hidden_states_125 = None - add_34 = hidden_states_126 + hidden_states_122 - hidden_states_126 = hidden_states_122 = None - hidden_states_127 = torch.nn.functional.layer_norm( - add_34, - (1024,), - l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_34 = l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_15_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_96 = torch._C._nn.linear( - hidden_states_127, - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_48 = linear_96.view(1, -1, 16, 64) - linear_96 = None - query_layer_16 = view_48.transpose(1, 2) - view_48 = None - linear_97 = torch._C._nn.linear( - hidden_states_127, - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_49 = linear_97.view(1, -1, 16, 64) - linear_97 = None - key_layer_16 = view_49.transpose(1, 2) - view_49 = None - linear_98 = torch._C._nn.linear( - hidden_states_127, - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_50 = linear_98.view(1, -1, 16, 64) - linear_98 = None - value_layer_16 = view_50.transpose(1, 2) - view_50 = None - attn_output_48 = torch._C._nn.scaled_dot_product_attention( - query_layer_16, - key_layer_16, - value_layer_16, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_16 = key_layer_16 = value_layer_16 = None - attn_output_49 = attn_output_48.transpose(1, 2) - attn_output_48 = None - attn_output_50 = attn_output_49.reshape(1, 15, 1024) - attn_output_49 = None - hidden_states_128 = torch._C._nn.linear( - attn_output_50, - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_50 = l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_129 = torch.nn.functional.dropout( - hidden_states_128, 0.1, False, False - ) - hidden_states_128 = None - add_35 = hidden_states_129 + hidden_states_127 - hidden_states_129 = hidden_states_127 = None - hidden_states_130 = torch.nn.functional.layer_norm( - add_35, - (1024,), - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_35 = l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_131 = torch._C._nn.linear( - hidden_states_130, - l_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_132 = torch._C._nn.gelu(hidden_states_131) - hidden_states_131 = None - hidden_states_133 = torch._C._nn.linear( - hidden_states_132, - l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_132 = l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_134 = torch.nn.functional.dropout( - hidden_states_133, 0.1, False, False - ) - hidden_states_133 = None - add_36 = hidden_states_134 + hidden_states_130 - hidden_states_134 = hidden_states_130 = None - hidden_states_135 = torch.nn.functional.layer_norm( - add_36, - (1024,), - l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_36 = l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_16_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_102 = torch._C._nn.linear( - hidden_states_135, - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_51 = linear_102.view(1, -1, 16, 64) - linear_102 = None - query_layer_17 = view_51.transpose(1, 2) - view_51 = None - linear_103 = torch._C._nn.linear( - hidden_states_135, - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_52 = linear_103.view(1, -1, 16, 64) - linear_103 = None - key_layer_17 = view_52.transpose(1, 2) - view_52 = None - linear_104 = torch._C._nn.linear( - hidden_states_135, - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_53 = linear_104.view(1, -1, 16, 64) - linear_104 = None - value_layer_17 = view_53.transpose(1, 2) - view_53 = None - attn_output_51 = torch._C._nn.scaled_dot_product_attention( - query_layer_17, - key_layer_17, - value_layer_17, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_17 = key_layer_17 = value_layer_17 = None - attn_output_52 = attn_output_51.transpose(1, 2) - attn_output_51 = None - attn_output_53 = attn_output_52.reshape(1, 15, 1024) - attn_output_52 = None - hidden_states_136 = torch._C._nn.linear( - attn_output_53, - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_53 = l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_137 = torch.nn.functional.dropout( - hidden_states_136, 0.1, False, False - ) - hidden_states_136 = None - add_37 = hidden_states_137 + hidden_states_135 - hidden_states_137 = hidden_states_135 = None - hidden_states_138 = torch.nn.functional.layer_norm( - add_37, - (1024,), - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_37 = l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_139 = torch._C._nn.linear( - hidden_states_138, - l_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_140 = torch._C._nn.gelu(hidden_states_139) - hidden_states_139 = None - hidden_states_141 = torch._C._nn.linear( - hidden_states_140, - l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_140 = l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_142 = torch.nn.functional.dropout( - hidden_states_141, 0.1, False, False - ) - hidden_states_141 = None - add_38 = hidden_states_142 + hidden_states_138 - hidden_states_142 = hidden_states_138 = None - hidden_states_143 = torch.nn.functional.layer_norm( - add_38, - (1024,), - l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_38 = l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_17_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_108 = torch._C._nn.linear( - hidden_states_143, - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_54 = linear_108.view(1, -1, 16, 64) - linear_108 = None - query_layer_18 = view_54.transpose(1, 2) - view_54 = None - linear_109 = torch._C._nn.linear( - hidden_states_143, - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_55 = linear_109.view(1, -1, 16, 64) - linear_109 = None - key_layer_18 = view_55.transpose(1, 2) - view_55 = None - linear_110 = torch._C._nn.linear( - hidden_states_143, - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_56 = linear_110.view(1, -1, 16, 64) - linear_110 = None - value_layer_18 = view_56.transpose(1, 2) - view_56 = None - attn_output_54 = torch._C._nn.scaled_dot_product_attention( - query_layer_18, - key_layer_18, - value_layer_18, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_18 = key_layer_18 = value_layer_18 = None - attn_output_55 = attn_output_54.transpose(1, 2) - attn_output_54 = None - attn_output_56 = attn_output_55.reshape(1, 15, 1024) - attn_output_55 = None - hidden_states_144 = torch._C._nn.linear( - attn_output_56, - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_56 = l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_145 = torch.nn.functional.dropout( - hidden_states_144, 0.1, False, False - ) - hidden_states_144 = None - add_39 = hidden_states_145 + hidden_states_143 - hidden_states_145 = hidden_states_143 = None - hidden_states_146 = torch.nn.functional.layer_norm( - add_39, - (1024,), - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_39 = l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_147 = torch._C._nn.linear( - hidden_states_146, - l_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_148 = torch._C._nn.gelu(hidden_states_147) - hidden_states_147 = None - hidden_states_149 = torch._C._nn.linear( - hidden_states_148, - l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_148 = l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_150 = torch.nn.functional.dropout( - hidden_states_149, 0.1, False, False - ) - hidden_states_149 = None - add_40 = hidden_states_150 + hidden_states_146 - hidden_states_150 = hidden_states_146 = None - hidden_states_151 = torch.nn.functional.layer_norm( - add_40, - (1024,), - l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_40 = l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_18_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_114 = torch._C._nn.linear( - hidden_states_151, - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_57 = linear_114.view(1, -1, 16, 64) - linear_114 = None - query_layer_19 = view_57.transpose(1, 2) - view_57 = None - linear_115 = torch._C._nn.linear( - hidden_states_151, - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_58 = linear_115.view(1, -1, 16, 64) - linear_115 = None - key_layer_19 = view_58.transpose(1, 2) - view_58 = None - linear_116 = torch._C._nn.linear( - hidden_states_151, - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_59 = linear_116.view(1, -1, 16, 64) - linear_116 = None - value_layer_19 = view_59.transpose(1, 2) - view_59 = None - attn_output_57 = torch._C._nn.scaled_dot_product_attention( - query_layer_19, - key_layer_19, - value_layer_19, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_19 = key_layer_19 = value_layer_19 = None - attn_output_58 = attn_output_57.transpose(1, 2) - attn_output_57 = None - attn_output_59 = attn_output_58.reshape(1, 15, 1024) - attn_output_58 = None - hidden_states_152 = torch._C._nn.linear( - attn_output_59, - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_59 = l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_153 = torch.nn.functional.dropout( - hidden_states_152, 0.1, False, False - ) - hidden_states_152 = None - add_41 = hidden_states_153 + hidden_states_151 - hidden_states_153 = hidden_states_151 = None - hidden_states_154 = torch.nn.functional.layer_norm( - add_41, - (1024,), - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_41 = l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_155 = torch._C._nn.linear( - hidden_states_154, - l_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_156 = torch._C._nn.gelu(hidden_states_155) - hidden_states_155 = None - hidden_states_157 = torch._C._nn.linear( - hidden_states_156, - l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_156 = l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_158 = torch.nn.functional.dropout( - hidden_states_157, 0.1, False, False - ) - hidden_states_157 = None - add_42 = hidden_states_158 + hidden_states_154 - hidden_states_158 = hidden_states_154 = None - hidden_states_159 = torch.nn.functional.layer_norm( - add_42, - (1024,), - l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_42 = l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_19_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_120 = torch._C._nn.linear( - hidden_states_159, - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_60 = linear_120.view(1, -1, 16, 64) - linear_120 = None - query_layer_20 = view_60.transpose(1, 2) - view_60 = None - linear_121 = torch._C._nn.linear( - hidden_states_159, - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_61 = linear_121.view(1, -1, 16, 64) - linear_121 = None - key_layer_20 = view_61.transpose(1, 2) - view_61 = None - linear_122 = torch._C._nn.linear( - hidden_states_159, - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_62 = linear_122.view(1, -1, 16, 64) - linear_122 = None - value_layer_20 = view_62.transpose(1, 2) - view_62 = None - attn_output_60 = torch._C._nn.scaled_dot_product_attention( - query_layer_20, - key_layer_20, - value_layer_20, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_20 = key_layer_20 = value_layer_20 = None - attn_output_61 = attn_output_60.transpose(1, 2) - attn_output_60 = None - attn_output_62 = attn_output_61.reshape(1, 15, 1024) - attn_output_61 = None - hidden_states_160 = torch._C._nn.linear( - attn_output_62, - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_62 = l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_161 = torch.nn.functional.dropout( - hidden_states_160, 0.1, False, False - ) - hidden_states_160 = None - add_43 = hidden_states_161 + hidden_states_159 - hidden_states_161 = hidden_states_159 = None - hidden_states_162 = torch.nn.functional.layer_norm( - add_43, - (1024,), - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_43 = l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_163 = torch._C._nn.linear( - hidden_states_162, - l_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_164 = torch._C._nn.gelu(hidden_states_163) - hidden_states_163 = None - hidden_states_165 = torch._C._nn.linear( - hidden_states_164, - l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_164 = l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_166 = torch.nn.functional.dropout( - hidden_states_165, 0.1, False, False - ) - hidden_states_165 = None - add_44 = hidden_states_166 + hidden_states_162 - hidden_states_166 = hidden_states_162 = None - hidden_states_167 = torch.nn.functional.layer_norm( - add_44, - (1024,), - l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_44 = l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_20_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_126 = torch._C._nn.linear( - hidden_states_167, - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_63 = linear_126.view(1, -1, 16, 64) - linear_126 = None - query_layer_21 = view_63.transpose(1, 2) - view_63 = None - linear_127 = torch._C._nn.linear( - hidden_states_167, - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_64 = linear_127.view(1, -1, 16, 64) - linear_127 = None - key_layer_21 = view_64.transpose(1, 2) - view_64 = None - linear_128 = torch._C._nn.linear( - hidden_states_167, - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_65 = linear_128.view(1, -1, 16, 64) - linear_128 = None - value_layer_21 = view_65.transpose(1, 2) - view_65 = None - attn_output_63 = torch._C._nn.scaled_dot_product_attention( - query_layer_21, - key_layer_21, - value_layer_21, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_21 = key_layer_21 = value_layer_21 = None - attn_output_64 = attn_output_63.transpose(1, 2) - attn_output_63 = None - attn_output_65 = attn_output_64.reshape(1, 15, 1024) - attn_output_64 = None - hidden_states_168 = torch._C._nn.linear( - attn_output_65, - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_65 = l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_169 = torch.nn.functional.dropout( - hidden_states_168, 0.1, False, False - ) - hidden_states_168 = None - add_45 = hidden_states_169 + hidden_states_167 - hidden_states_169 = hidden_states_167 = None - hidden_states_170 = torch.nn.functional.layer_norm( - add_45, - (1024,), - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_45 = l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_171 = torch._C._nn.linear( - hidden_states_170, - l_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_172 = torch._C._nn.gelu(hidden_states_171) - hidden_states_171 = None - hidden_states_173 = torch._C._nn.linear( - hidden_states_172, - l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_172 = l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_174 = torch.nn.functional.dropout( - hidden_states_173, 0.1, False, False - ) - hidden_states_173 = None - add_46 = hidden_states_174 + hidden_states_170 - hidden_states_174 = hidden_states_170 = None - hidden_states_175 = torch.nn.functional.layer_norm( - add_46, - (1024,), - l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_46 = l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_21_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_132 = torch._C._nn.linear( - hidden_states_175, - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_66 = linear_132.view(1, -1, 16, 64) - linear_132 = None - query_layer_22 = view_66.transpose(1, 2) - view_66 = None - linear_133 = torch._C._nn.linear( - hidden_states_175, - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_67 = linear_133.view(1, -1, 16, 64) - linear_133 = None - key_layer_22 = view_67.transpose(1, 2) - view_67 = None - linear_134 = torch._C._nn.linear( - hidden_states_175, - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_68 = linear_134.view(1, -1, 16, 64) - linear_134 = None - value_layer_22 = view_68.transpose(1, 2) - view_68 = None - attn_output_66 = torch._C._nn.scaled_dot_product_attention( - query_layer_22, - key_layer_22, - value_layer_22, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_22 = key_layer_22 = value_layer_22 = None - attn_output_67 = attn_output_66.transpose(1, 2) - attn_output_66 = None - attn_output_68 = attn_output_67.reshape(1, 15, 1024) - attn_output_67 = None - hidden_states_176 = torch._C._nn.linear( - attn_output_68, - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_68 = l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_177 = torch.nn.functional.dropout( - hidden_states_176, 0.1, False, False - ) - hidden_states_176 = None - add_47 = hidden_states_177 + hidden_states_175 - hidden_states_177 = hidden_states_175 = None - hidden_states_178 = torch.nn.functional.layer_norm( - add_47, - (1024,), - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_47 = l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_179 = torch._C._nn.linear( - hidden_states_178, - l_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_180 = torch._C._nn.gelu(hidden_states_179) - hidden_states_179 = None - hidden_states_181 = torch._C._nn.linear( - hidden_states_180, - l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_180 = l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_182 = torch.nn.functional.dropout( - hidden_states_181, 0.1, False, False - ) - hidden_states_181 = None - add_48 = hidden_states_182 + hidden_states_178 - hidden_states_182 = hidden_states_178 = None - hidden_states_183 = torch.nn.functional.layer_norm( - add_48, - (1024,), - l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_48 = l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_22_modules_output_modules_layer_norm_parameters_bias_ = (None) - linear_138 = torch._C._nn.linear( - hidden_states_183, - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_bias_ = (None) - view_69 = linear_138.view(1, -1, 16, 64) - linear_138 = None - query_layer_23 = view_69.transpose(1, 2) - view_69 = None - linear_139 = torch._C._nn.linear( - hidden_states_183, - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_bias_ = (None) - view_70 = linear_139.view(1, -1, 16, 64) - linear_139 = None - key_layer_23 = view_70.transpose(1, 2) - view_70 = None - linear_140 = torch._C._nn.linear( - hidden_states_183, - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_bias_ = (None) - view_71 = linear_140.view(1, -1, 16, 64) - linear_140 = None - value_layer_23 = view_71.transpose(1, 2) - view_71 = None - attn_output_69 = torch._C._nn.scaled_dot_product_attention( - query_layer_23, - key_layer_23, - value_layer_23, - attn_mask=extended_attention_mask, - dropout_p=0.0, - is_causal=False, - ) - query_layer_23 = key_layer_23 = value_layer_23 = extended_attention_mask = None - attn_output_70 = attn_output_69.transpose(1, 2) - attn_output_69 = None - attn_output_71 = attn_output_70.reshape(1, 15, 1024) - attn_output_70 = None - hidden_states_184 = torch._C._nn.linear( - attn_output_71, - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_bias_, - ) - attn_output_71 = l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_185 = torch.nn.functional.dropout( - hidden_states_184, 0.1, False, False - ) - hidden_states_184 = None - add_49 = hidden_states_185 + hidden_states_183 - hidden_states_185 = hidden_states_183 = None - hidden_states_186 = torch.nn.functional.layer_norm( - add_49, - (1024,), - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_49 = l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_layer_norm_parameters_bias_ = (None) - hidden_states_187 = torch._C._nn.linear( - hidden_states_186, - l_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_bias_, - ) - l_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_bias_ = (None) - hidden_states_188 = torch._C._nn.gelu(hidden_states_187) - hidden_states_187 = None - hidden_states_189 = torch._C._nn.linear( - hidden_states_188, - l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_bias_, - ) - hidden_states_188 = l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_bias_ = (None) - hidden_states_190 = torch.nn.functional.dropout( - hidden_states_189, 0.1, False, False - ) - hidden_states_189 = None - add_50 = hidden_states_190 + hidden_states_186 - hidden_states_190 = hidden_states_186 = None - hidden_states_191 = torch.nn.functional.layer_norm( - add_50, - (1024,), - l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_layer_norm_parameters_weight_, - l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_layer_norm_parameters_bias_, - 1e-05, - ) - add_50 = l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_layer_norm_parameters_weight_ = l_self_modules_encoder_modules_layer_modules_23_modules_output_modules_layer_norm_parameters_bias_ = (None) - first_token_tensor = hidden_states_191[(slice(None, None, None), 0)] - pooled_output = torch._C._nn.linear( - first_token_tensor, - l_self_modules_pooler_modules_dense_parameters_weight_, - l_self_modules_pooler_modules_dense_parameters_bias_, - ) - first_token_tensor = ( - l_self_modules_pooler_modules_dense_parameters_weight_ - ) = l_self_modules_pooler_modules_dense_parameters_bias_ = None - pooled_output_1 = torch.tanh(pooled_output) - pooled_output = None - return (hidden_states_191, pooled_output_1) diff --git a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/weight_meta.py b/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/weight_meta.py deleted file mode 100644 index 4cc5f3db7..000000000 --- a/samples/transformers-auto-model/sdadas_xlm-roberta-large-twitter/weight_meta.py +++ /dev/null @@ -1,4469 +0,0 @@ -class Program_weight_tensor_meta_L_input_ids_: - name = "L_input_ids_" - shape = [1, 15] - dtype = "torch.int64" - device = "cuda:0" - mean = None - std = None - data = [ - 0, - 6524, - 11727, - 24447, - 83, - 11814, - 47, - 125663, - 181135, - 43315, - 6, - 41382, - 7, - 5, - 2, - ] - - -class Program_weight_tensor_meta_L_self_modules_embeddings_buffers_token_type_ids_: - name = "L_self_modules_embeddings_buffers_token_type_ids_" - shape = [1, 514] - dtype = "torch.int64" - device = "cuda:0" - mean = None - std = None - data = [ - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - ] - - -class Program_weight_tensor_meta_L_self_modules_embeddings_modules_word_embeddings_parameters_weight_: - name = "L_self_modules_embeddings_modules_word_embeddings_parameters_weight_" - shape = [250002, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_embeddings_modules_token_type_embeddings_parameters_weight_: - name = "L_self_modules_embeddings_modules_token_type_embeddings_parameters_weight_" - shape = [1, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_embeddings_modules_position_embeddings_parameters_weight_: - name = "L_self_modules_embeddings_modules_position_embeddings_parameters_weight_" - shape = [514, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_embeddings_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_embeddings_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_embeddings_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_embeddings_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_attention_mask_: - name = "L_attention_mask_" - shape = [1, 15] - dtype = "torch.int64" - device = "cuda:0" - mean = None - std = None - data = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_0_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_1_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_2_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_3_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_4_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_5_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_6_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_7_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_8_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_9_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_10_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_11_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_12_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_13_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_14_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_15_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_16_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_17_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_18_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_19_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_20_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_21_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_22_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_query_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_key_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_self_modules_value_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_attention_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_weight_" - shape = [4096, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_intermediate_modules_dense_parameters_bias_" - shape = [4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_weight_" - shape = [1024, 4096] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_LayerNorm_parameters_weight_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_LayerNorm_parameters_weight_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_LayerNorm_parameters_bias_: - name = "L_self_modules_encoder_modules_layer_modules_23_modules_output_modules_LayerNorm_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_pooler_modules_dense_parameters_weight_: - name = "L_self_modules_pooler_modules_dense_parameters_weight_" - shape = [1024, 1024] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_pooler_modules_dense_parameters_bias_: - name = "L_self_modules_pooler_modules_dense_parameters_bias_" - shape = [1024] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.000 - data = None diff --git a/tools/deduplicated.py b/tools/deduplicated.py new file mode 100644 index 000000000..c229b2dd4 --- /dev/null +++ b/tools/deduplicated.py @@ -0,0 +1,113 @@ +#!/usr/bin/env python3 +"""Utility for moving duplicate sample models based on their graph hash.""" + +from __future__ import annotations + +import argparse +import shutil +from collections import defaultdict +from pathlib import Path +from typing import Dict, Iterable, List + + +def collect_graph_hash_files(samples_dir: Path) -> List[Path]: + """Return all ``graph_hash.txt`` files under ``samples_dir`` in sorted order.""" + + if not samples_dir.is_dir(): + raise FileNotFoundError(f"Samples directory not found: {samples_dir}") + + return sorted(samples_dir.rglob("graph_hash.txt")) + + +def build_hash_to_models(graph_hash_files: Iterable[Path]) -> Dict[str, List[Path]]: + """Map each graph hash value to the model directories that contain it.""" + + hash_to_models: Dict[str, List[Path]] = defaultdict(list) + + for hash_file in graph_hash_files: + model_dir = hash_file.parent + hash_value = hash_file.read_text(encoding="utf-8").strip() + hash_to_models[hash_value].append(model_dir) + + return hash_to_models + + +def compute_duplicates(hash_to_models: Dict[str, List[Path]]) -> Dict[str, List[Path]]: + """Filter the mapping to only hash values that appear more than once.""" + + return { + hash_value: dirs for hash_value, dirs in hash_to_models.items() if len(dirs) > 1 + } + + +def move_duplicates( + duplicates: Dict[str, List[Path]], + samples_dir: Path, + redundant_dir: Path, + dry_run: bool = False, +) -> None: + """Move duplicate model directories under ``redundant_dir``. + + Directories are moved while preserving their relative path with respect to + ``samples_dir``. + """ + + redundant_dir.mkdir(parents=True, exist_ok=True) + + for hash_value, model_dirs in sorted(duplicates.items()): + # Keep the first occurrence inside ``samples`` and move the rest. + keep_dir, *dupe_dirs = model_dirs + for dupe_dir in dupe_dirs: + relative_path = dupe_dir.relative_to(samples_dir) + destination = redundant_dir / relative_path + destination.parent.mkdir(parents=True, exist_ok=True) + if dry_run: + print(f"[DRY-RUN] Would move {dupe_dir} -> {destination}") + continue + + if destination.exists(): + raise FileExistsError(f"Destination already exists: {destination}") + + print(f"Moving duplicate hash {hash_value}: {dupe_dir} -> {destination}") + shutil.move(str(dupe_dir), str(destination)) + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "--samples-dir", + type=Path, + default=Path(__file__).resolve().parents[1] / "samples", + help="Root directory containing sample models.", + ) + parser.add_argument( + "--redundant-dir", + type=Path, + default=Path(__file__).resolve().parents[1] / "redundant", + help="Directory where duplicate models will be moved.", + ) + parser.add_argument( + "--dry-run", + action="store_true", + help="Only report duplicate moves without performing them.", + ) + return parser.parse_args() + + +def main() -> None: + args = parse_args() + graph_hash_files = collect_graph_hash_files(args.samples_dir) + hash_to_models = build_hash_to_models(graph_hash_files) + duplicates = compute_duplicates(hash_to_models) + + if not duplicates: + print("No duplicate graph hashes found.") + return + + move_duplicates( + duplicates, args.samples_dir, args.redundant_dir, dry_run=args.dry_run + ) + + +if __name__ == "__main__": + main()