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rosinality / stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
MIT License
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Training with distributed sampling #199

Open BadourAlBahar opened 3 years ago

BadourAlBahar commented 3 years ago

I noticed that the data was not shuffled correctly while training. Seems that there should be set_epoch added when distributed training is used. See here https://github.com/pytorch/examples/blob/fe8abc3c810420df2856c6e668258f396b154cee/imagenet/main.py#L232.

See here as well: https://pytorch.org/docs/stable/data.html _In distributed mode, calling the setepoch() method at the beginning of each epoch before creating the DataLoader iterator is necessary to make shuffling work properly across multiple epochs. Otherwise, the same ordering will be always used.

rosinality commented 3 years ago

Thank you, I missed that.

debraj135 commented 3 years ago

Has this been resolved?