How do I make sure the output of a CNN never decrease in size using padding?

[pinocchio (Rene Sandoval)]

I want to create one code such that no matter what task or input size the image is, it will always produce a ConvNet such that the padding is set such that the size of the features is always equal to the size of the original image (up until the end/final layer).

How does one do that in pytorch?

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I realized this might be useful:

'Same' convolution in pytorch

Hi, Is there a simple way to do ‘same’ convolution in pytorch such that the output spacial dimensions equals the input counterpart ? Best

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Cross posted with code:

Implementing same convolution in Pytorch