can not use torch.legacy for torch version==1.1.0 about stylized-imagenet

[rgeirhos]

Thanks for pointing this out. You're recommending to change "torch==1.1.0" to "torch==0.4.0" in requirements.txt, is that correct / can you confirm this works as expected? The requirements were automatically generated with pipreqs, happy to change this line if necessary.

[mingbocui]

@rgeirhos thanks for your reply, I have tested for several trails and I would suggest that changing torch version to 0.4.1(version 0.4.0 did not work) and torchvision version to 0.2.2. Now the code could run correctly.

[rgeirhos]

Thanks @mingbocui for testing this. I have updated requirements.txt in commit 2d6ef2e.

[iminfine]

I think the requirements should be updated. You can just delete tqdm=4.32.2
ERROR: torchvision 0.2.2 has requirement tqdm==4.19.9, but you'll have tqdm 4.32.2 which is incompatible.

[rgeirhos]

Thanks @iminfine; I have updated requirements.txt in commit 0e9a244.

[GA-17a]

Hi @mingbocui @iminfine, did you meet the UserWarning "nn.UpsamplingNearest2d is deprecated. Use nn.functional.interpolate instead."? It seems that AdaIN style transfer model uses the old upsample algorithm. Now I can only get 224*224 images without fixing this warning. For val dataset, it's ok. But for train dataset, it's a little trouble.