Hello
I have seen a couple of previous topics regarding observing or modifying the gradients of non-leaf tensors. some of them are for the year 2018 or 2019 which suggest function .grad. However this function returns None. And through the autograd doc. I have seen much explanation about the required_grad function.
My question is that is it possible to see the values of the gradients of the tensor in computational graph and is it possible to modify the gradients after loss.backward() and before optimizer.step() ?
Thanks.