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Faster depthwise convolutions for PyTorch

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TypeError: expected string or bytes-like object

Your work is so valuable for running mobilenet, convnext, and so on. I have one request. Could you support bias of dwconv for further value? Thanks

I use your code but slow than the origin function do you know why? my code is self.cheap_operation = nn.Conv2d(init_channels, new_channels, dw_size, 1,dw_size // 2, groups=init_channels, bias=False) and I replace...

This is an awesome repo, Thanks for making it! One of the annoyances of pytorch is that if you try to use a 3x3 depthwise conv and then 1x1 pointwise...

torch_dwconv/dwconv.cpp:25:62: error: ‘TORCH_CHECK’ was not declared in this scope There is no definiation of TORCH_CHECK.