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cupy.cuda.driver.CUDADriverError: CUDA_ERROR_INVALID_HANDLE: invalid resource handle #8
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This is probably due to the fact that we use our own cuda kernels and that we compile/execute them using cupy. I'm not fully satisfied by the need of using cupy but I seems to be the easiest way to do. |
Thank you for replying. |
@syinari0123 did the modifications done by @Archer-Tatsu solved the problem ? |
Since there is no answer I consider this issue closed. Re-open if the PR does not fix the issue. |
Thank you for publishing such a great code !
I have a question.
When I use this Spherical convolution in our network,
I tried to train our model using on multi GPU like
torch.nn.DataParallel(model).cuda()
However I got following error message.
Can we use DataParallel for this spherical convolution?
Or is there a future plan to implement for this?
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