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Thank you for reporting! The discrepancy between PyTorch and TorchSharp is the default value assigned to the stride parameter. I submitted a fix for the next version, but until then you can just specify the stride parameter to be the same as the kernelSize parameter to get the desired results.
Hello! I've found that
torch.nn.functional.avg_pool1d
is not working as expected.Here is my test code:
And in PyTorch:
There seems to be something going wrong with
torch.nn.functional.avg_pool1d
, whiletorch.nn.AvgPool1d
still works well.The text was updated successfully, but these errors were encountered: