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Start of making bias correction work with Conv1d #2024

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Start of making bias correction work with Conv1d #2024

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7376bb5
Make sure that `bias_correction.correct_bias` also works with 1D conv…
V0XNIHILI Mar 25, 2023
7d544bb
Fix output_size not being instantiated for a Conv1d layer
V0XNIHILI Mar 25, 2023
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4 changes: 3 additions & 1 deletion TrainingExtensions/torch/src/python/aimet_torch/bias_correction.py
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Original file line number Diff line number Diff line change
Expand Up @@ -271,6 +271,8 @@ def pass_data_through_model(model, early_stopping_iterations=None, use_cuda=Fals
if module.bias is None:
if isinstance(module, (torch.nn.Conv2d, torch.nn.ConvTranspose2d)):
output_size = module.out_channels
elif isinstance(module, (torch.nn.Conv1d, torch.nn.ConvTranspose1d)):
output_size = module.out_channels
elif isinstance(module, torch.nn.Linear):
output_size = module.out_features
module.bias = torch.nn.Parameter(torch.zeros(output_size))
Expand Down Expand Up @@ -396,4 +398,4 @@ def find_all_conv_bn_with_activation(model: torch.nn.Module, input_shape: Tuple)
graph_searcher.find_all_patterns_in_graph_apply_actions()
convs_bn_activation_dict = layer_select_handler.get_conv_linear_bn_info_dict()

return convs_bn_activation_dict
return convs_bn_activation_dict
2 changes: 1 addition & 1 deletion TrainingExtensions/torch/src/python/aimet_torch/utils.py
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Expand Up @@ -469,7 +469,7 @@ def get_input_shape_batch_size(data_loader):
# finding shape of a batch
input_shape = torch.Tensor.size(images_in_one_batch)

return input_shape[0], (1, input_shape[1], input_shape[2], input_shape[3])
return input_shape[0], (1, *input_shape[1:])


def has_hooks(module: torch.nn.Module):
Expand Down