Hi PyTorchers,
I would like to implement a 2D convolution the shape of a cross.
For example, with an input (1, 1, 14, 14) where (nSamples,nChannels,H,W) the convolution would be 1x14 horizontally AND 14x1 vertically to produce an output input (1, 1, 14, 14).
Is there a facility in PyTorch for implementing irregular convolution shapes?
What is the recommended approach?
Cheers!
-Tom