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Bar authored
Also: * Single worker limitation not needed anymore, been fixed in PyTorch since v0.4.0 (https://github.com/pytorch/pytorch/pull/4640) * compress_classifier.py: If run in evaluation mode (--eval), enable deterministic mode. * Call utils.set_deterministic at data loaders creation if deterministic argument is set (don't assume user calls it outside) * Disable CUDNN benchmark mode in utils.set_deterministic (https://pytorch.org/docs/stable/notes/randomness.html#cudnn)
Bar authoredAlso: * Single worker limitation not needed anymore, been fixed in PyTorch since v0.4.0 (https://github.com/pytorch/pytorch/pull/4640) * compress_classifier.py: If run in evaluation mode (--eval), enable deterministic mode. * Call utils.set_deterministic at data loaders creation if deterministic argument is set (don't assume user calls it outside) * Disable CUDNN benchmark mode in utils.set_deterministic (https://pytorch.org/docs/stable/notes/randomness.html#cudnn)
