Created
March 24, 2021 00:25
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| features_list = [] | |
| for layer in features: | |
| features_list.append(layer) | |
| if isinstance(layer, nn.Conv2d): | |
| features_list.append(nn.BatchNorm2d(layer.out_channels)) | |
| del features_list[-1] | |
| self.features = nn.Sequential(*features_list) |
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