What the recommended way to update tensor's value?

Since a.data = b.detach() is not recommended( is it right?), and a.fill_(v) can only cope with 0-dim value, so what’s the recommended value to update one tensor value?
My typical case is to write gradients into tensor.grad after using autograd.grad().


If you want to change the value of a tensor that requires gradients without it being tracked by the autograd engine, you should do:

with torch.no_grad():

As is done for weight initialization for example in the nn.init package.

If thinks don’t require gradients and have no grad_fn associated with it, you can simply do: