How to get deterministic behavior?

[dlmacedo (David Lopes de Macêdo)]

The following appears to be the same issue:

Non Reproducible result with GPU

I tried that workaround in the simple case of the cifar10 tutorial: http://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html after having added only the Flip transform line: transforms.RandomHorizontalFlip(), I also inserted a seed initialization: torch.manual_seed(0) and I even disabled the shuffle. I am still not able to reproduce the results. Any other idea?

If I use num_workers=0, I can get back the augmentation without losing the deterministic behavior, exactly as reported in the link above.