How to modify the gradient manually?

[jkarimi91 (Jay Karimi)]

Directly getting gradients

Let’s say you compute variable y as a function of variable x. When you call y.backward(dL_dy) you’ll get the value of dL_dx in x.grad (which is dL_dy * dy_dx). If you just put a tensor full of ones instead of dL_dy you’ll get precisely the gradient you are looking for. import torch from torch.autograd import Variable x = Variable(torch.ones(10), requires_grad=True) y = x * Variable(torch.linspace(1, 10, 10), requires_grad=False) y.backward(torch.ones(10)) print(x.grad) produces Variable con…