We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hello,
I would like to know why are you explicitly using ConstantPad2D ?
[link to code]
self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=1) self.pad = nn.ConstantPad2d([1] * 4, value=0)
From the doc nn.Conv2d default padding_mode is to zeros. Isn't setting padding=1 in Conv2d equivalent to your self.conv1(self.pad(x)) ?
zeros
padding=1
Am I missing something ?
Have a good day
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hello,
I would like to know why are you explicitly using ConstantPad2D ?
[link to code]
From the doc nn.Conv2d default padding_mode is to
zeros
. Isn't settingpadding=1
in Conv2d equivalent to your self.conv1(self.pad(x)) ?Am I missing something ?
Have a good day
The text was updated successfully, but these errors were encountered: