- ✓: Support to convert
- X: Not support
Total: 11/12
Count 11/12
Name Support Memo bvlc_alexnet_model bvlc_googlenet_model bvlc_reference_caffenet_model bvlc_reference_rcnn_ilsvrc13_model densenet121_model
✓ ✓ ✓ ✓ ✓
inception_v1_model inception_v2_model resnet50_model shufflenet_model squeezenet_model vgg19_model zfnet512_model
X ✓ ✓ ✓ ✓ ✓ ✓
The edge mode of the pad in nnabla is not implemented.
- ✓: Support to convert
- X: Not support
Total: 60/65
Count 34/37
Count 17/18
Name Support Memo AlexNet DenseNet-161_2_570 GoogLeNet_4_142 MobileNet_1_86 NIN Resnet-101_4_348 Resnet-152_4_518 Resnet-18_3_71 Resnet-34_4_128 Resnet-50_4_178 ShuffleNet-0.5x_2_202 ShuffleNet_2_202 SqueezeNet-1.0_2_70 SqueezeNet-1.1_2_70 VGG-11 VGG-13 VGG-16 Xception
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ X ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Count 9/10
Name Support Memo capsules classification cycle_gan deeplabv3plus meta_learning pix2pix siamese_embedding
✓ ✓ ✓ ✓ ✓ ✓ ✓
X ✓ ✓
The onehot dimension != 2 is not supported.
- ✓: Support to convert
- X: Not support
Total: 15/16
Count 15/16
Name Support Memo AlexNet GoogLeNet LeNet_5 ResNet50 VGG16 ZFNet ae0_frozen conv-layers_frozen fc-layers_frozen inception_resnet_v2_2016_08_30_frozen inception_v1_2016_08_28_frozen inception_v3_2016_08_28_frozen inception_v4_2016_09_09_frozen
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
X ✓ ✓
The Shape is currently not supported to convert by nnabla.
- ✓: Support to convert
- X: Not support
Total: 58/65
Count 34/37
Count 15/18
Name Support Memo AlexNet DenseNet-161_2_570 GoogLeNet_4_142 MobileNet_1_86 NIN Resnet-101_4_348 Resnet-152_4_518 Resnet-18_3_71 Resnet-34_4_128 Resnet-50_4_178 ShuffleNet-0.5x_2_202 ShuffleNet_2_202 SqueezeNet-1.0_2_70 SqueezeNet-1.1_2_70 VGG-11 VGG-13 VGG-16 Xception
X ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ X X ✓ ✓ ✓ ✓ ✓ ✓
Count 9/10
Name Support Memo capsules classification cycle_gan deeplabv3plus meta_learning pix2pix siamese_embedding
✓ ✓ ✓ ✓ ✓ ✓ ✓
X ✓ ✓
The onehot dimension != 2 is not supported.
- ✓: Support to convert
- X: Not support
Total: 46/65
Count 29/37
Count 10/18
Name Support Memo AlexNet DenseNet-161_2_570 GoogLeNet_4_142 MobileNet_1_86 NIN Resnet-101_4_348 Resnet-152_4_518 Resnet-18_3_71 Resnet-34_4_128 Resnet-50_4_178 ShuffleNet-0.5x_2_202 ShuffleNet_2_202 SqueezeNet-1.0_2_70 SqueezeNet-1.1_2_70 VGG-11 VGG-13 VGG-16 Xception
✓ X ✓ ✓ X ✓ ✓ ✓ ✓ ✓ ✓ ✓ X X X X X X
Count 7/10
Name Support Memo capsules classification cycle_gan deeplabv3plus meta_learning pix2pix siamese_embedding wavenet word_embedding yolov2
X ✓ ✓ ✓ ✓ ✓ ✓ X ✓ X
- ✓: Support to convert
- X: Not support
Total: 34/37
Count 34/37
Name Support Memo 01_logistic_regression_10 01_logistic_regression_9 02_binary_cnn_15 02_binary_cnn_16 06_auto_encoder_17 06_auto_encoder_18 10_deep_mlp_13 10_deep_mlp_14 11_deconvolution_11 11_deconvolution_12 12_residual_learning_19 12_residual_learning_20 LSTM_auto_encoder_23 LSTM_auto_encoder_24 LeNet_35 LeNet_36 bidirectional_elman_net_25 bidirectional_elman_net_26 binary_connect_mnist_LeNet_5 binary_connect_mnist_MLP_8 binary_net_mnist_LeNet_7 binary_net_mnist_MLP_4 binary_weight_mnist_MLP_6 elman_net_21 elman_net_22 elman_net_with_attention_33 elman_net_with_attention_34 gated_recurrent_unitGRU_31 gated_recurrent_unitGRU_32 long_short_term_memoryLSTM_29 long_short_term_memoryLSTM_30
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
mnist_dcgan_with_label_1 X
Failed to infer by nnabla. X ✓
Failed to compare inferring result.
semi_supervised_learning_VAT_37 stacked_GRU_27 stacked_GRU_28
X ✓ ✓
Failed to compare inferring result.