Hello, I want to do some scalar operation on gradient of model, such as plus gradient of two point/multiplied a gradient with a float number. How to do it?
I am not optimization the model, so I do not use optimizer.
What I want to do is something like the following
model(x1).backward() g1 = [i.grad for i in model.parameters()] model(x2).backward() g2 = ... ... result = g1 * 4.542 + g2 * 5.3848 + ...
Is there any easy way to pack the gradient of a model as a whole to do scalar operation? Or i have to wrap it manually by myself?.
I want to keep the line
result = ...
simple, because this code is also used in other things beside this pytorch model.