Hi,
I am wondering if there are ways to combine autograd and numerical gradients with finite difference method.
Specifically, for Modified Bessel Function, I also want to compute the gradient with respect to $\nu$. It’s simple to compute its gradient with finite difference while hard with autograd. How to wrap finite difference as an autograd function and use it in torch.nn.Module subclasses?
Thanks!