Hi,
We know, that sequential applying 1x3 and 3x1 conv is ~equivalent to 3x3 conv, but much faster (less computations). So, I wonder does PyTorch optimizes 3x3 to 1x3+3x1 conv under the hood? Or how can I use this feature in the most PyTorch-like way?
Thanks!