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Hi Song Yang! Thank you for your code!
I am running your Network in a local (single GPU: RTX TITAN) machine, but the GPU utility is only around 30% during sampling. Did you notice the same issue?
Best Wishes,
Tianrong
The text was updated successfully, but these errors were encountered:
Thank you for your reply! I figured it out XD
I think in my own code, torch.backends.cudnn.deterministic = True
caused this problem.
Just turn this off, the problem will be solved.
Great to know you figured it out! Yes you're right. Setting torch.backends.cudnn.deterministic = True ensures reproducibility but can greatly reduce the efficiency of GPUs.
Hi Song Yang! Thank you for your code!
I am running your Network in a local (single GPU: RTX TITAN) machine, but the GPU utility is only around 30% during sampling. Did you notice the same issue?
Best Wishes,
Tianrong
The text was updated successfully, but these errors were encountered: