PSConv

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Can't simply replace nn.Conv2d with PSConv2d

2

Thanks to the compact characteristic of PSConv, just replace `nn.Conv2d` with `PSConv2d`. Note that there exists another hyperparameter named `parts` you may set in our PSConv operator. _Originally posted by...

quantumsquirrel

How does the code in the psconv.py file achieve the different dilation rates written in the paper?

4

How does the code in the psconv.py file achieve the differentdilation rates written in the paper?

xlh1135355585

``` x1, x2 = x.chunk(2, dim=1) x_shift = self.gwconv_shift(torch.cat((x2, x1), dim=1)) return self.gwconv(x) + self.conv(x) + x_shift ``` I think the code is simply add with different dilation.

wuzhenyubuaa

Thanks for your great work. Can you share the code for training imagenet? I use the code (https://github.com/rwightman/pytorch-image-models) and train ResNeXt-50+PSConv with the same setting in your paper (SGD, 120...

YehLi