Hi, I’m trying to implement the following paper in pytorch.
https://arxiv.org/abs/1608.00507 23
It’s one way to construct saliency map.
For a certain Conv2d layer, we need to truncate the weight W to W+ which only positive weights are remained. Then, they will do a Conv2d_back according to this new weight(together with normalized output). However, in pytorch,  the operator torch._C._functions.Conv2d is not allowed to use. Is there any suggestion on how to overcome this and implement this paper ?
Thanks a lot and happy new year !