Hi,
is there a way to skip/mask a particular row/column or even pixel of the input in a Conv2D layer?
Further, is it possible to skip/mask only the backward pass?
An example:
Given an input with (h,w)=(10,10)  e.g. the 5th row should be ignored, so that the output size after appropriately padded convolution is (h,w) = (9,10).