Comments (4)
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!
from examples.
Fixed in #52.
from examples.
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 :)
from examples.
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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Related Issues (20)
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