You could try your luck with that function, but note that is considered internal to PyTorch (so e.g. people might decide to drop the current function when refactoring bits of PyTorch). You can look at tools/autograd/derivatives.yaml 25 for how it is called when a backward for _thnn_conv2d_forward is needed.
Best regards
Thomas