ptrblck:

Yes, this would be the current option.


By following instructions at the following url? https://github.com/pytorch/pytorch#from-source 1



 ptrblck:

No, but the backward pass through a “vanilla” convolution is a transposed convolution.
In the same manner, the forward pass of a transposed convolution can use the “backward kernel” of a vanilla convolution, which is why you are seeing the dgrad kernel here.


It makes sense