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apaszke avatar apaszke commented on August 24, 2024 1

It's not a problem with weights, if you look at the order of the arguments it's (0, 1, input, weight.t()) and it's the 3rd argument that's not on CUDA. I see the bug, the example is missing

if args.cuda:
    data = data.cuda()

in the training loop. I'll send a PR in a sec. Thanks for reporting it!

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apaszke avatar apaszke commented on August 24, 2024

Fixed in #52.

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hassony2 avatar hassony2 commented on August 24, 2024

Thank you for your answer and the fix !
I had tried to pass the data to cuda but this alone had not solved it for me.
With the additional change in the PR it works great :)

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apaszke avatar apaszke commented on August 24, 2024

Yes, the sampled noise had to be allocated on the GPU too. You can check the diff in my PR to see where was that. Thanks!

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