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How to use pretrained encoder for customized Unet

x1_3 = self.conv1_3(torch.cat([x1_0, self.up(x2_2)], 1)) x0_4 = self.conv0_4(torch.cat([x0_0, self.up(x1_3)], 1)) output = self.final(x0_4) return output How to do Imagenet pretraining … I assume doing pretraining for the encoder from scratch will take long time. Is there a way to utilize an existing pre-trained encoder such as the resnet50 for such Unet. …
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