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AvgPool2d (kernel_size=1)

See original GitHub issue

In I found this line: layers += [nn.AvgPool2d(kernel_size=1, stride=1)] .

Do I understand correctly that AvgPool2d layers with kernel_size=1 just return the input as it is? Why do we need them?

Issue Analytics

  • State:open
  • Created 3 years ago
  • Reactions:2
  • Comments:5

github_iconTop GitHub Comments

minhlabcommented, Dec 28, 2020

No, that’s the flatten call in the forward() function.

Hrushikesh-githubcommented, Feb 15, 2021

As per the original pytorch implementation, we don’t have any average pooling layers present. I think this is a mistake

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