Hi, I’m confused about autograd.Function recently. I think most of the common mathematical operation can be implemented by pytorch functions, and pytorch can automatically build computation graph for us to backward.
Do we need to use this class only when we need to define our own derivation or integrate some operations in one class?
If I don’t need some special derivation operation, can I just define a normal function containing several math functions and use it in my forward procedure?