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pytorch code: self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
kernel_size=3
torchsharp: maxpool = MaxPool2d(kernelSize: 2, stride: 2, padding: 1);
The text was updated successfully, but these errors were encountered:
@githubxiaoa -- is there a question or error report here? I'm not sure what the issue is from your code examples.
Sorry, something went wrong.
Ah, I see -- the torchvision.ResNet models have a bug. Will be fixed in next version.
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pytorch code:
self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
kernel_size=3
torchsharp:
maxpool = MaxPool2d(kernelSize: 2, stride: 2, padding: 1);
The text was updated successfully, but these errors were encountered: