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Dataloader error. #8
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did you resolve it? |
I fixed it by doing like this in the transform3 = transforms.Compose([
transforms.Resize(config.image_size),
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
transform1 = transforms.Compose([
transforms.Resize(config.image_size),
transforms.ToTensor(),
transforms.Normalize((0.5, ), (0.5, ))])
svhn = datasets.SVHN(root=config.svhn_path, download=True, transform=transform3)
mnist = datasets.MNIST(root=config.mnist_path, download=True, transform=transform1) Besides, there are also some other bugs you need to fix. Finally, fortunately, I have run this code. |
Were you able to get a clean domain adaptation? We found that the numbers were not paired. |
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After running model:
RuntimeError: output with shape [1, 32, 32] doesn't match the broadcast shape [3, 32, 32]
The text was updated successfully, but these errors were encountered: