Thank you for your help.After thinking about it, I found that the previous question is not accurate.What I want to find out is whether the pytorch function “autograd” can converge,When it try to differentiates a data（such as picture).In other words, when function autograd calculates the differentiation of the same data(matrix of an image or other), will it get the same result if it runs many times? Or it have some differences （errors） every time