SKNet_pytorch
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RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.
Hi @ResearchingDexter , there might be something wrong with the
a_b=list(a_b.chunk(self.M,dim=1)) And it always give me this error unless I turn of cudnn which makes it very slow: RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.
Any suggestion?
I guess that the cuDNN error about : CUDNN_STATUS_NOT_SUPPORTED was caused by the list of the a_b=list(a_b.chunk(self.M,dim=1)) , which not supported to make cuda tensor convert to the form like list[cudaTensor]. I supposed that used the form like a, b=a_b.chunk(self.M, dim=1) when M==2 to resolved the error. And thanks for your Issue.