dear all,
For some reason, I would need to compute the back-propagation for some module with a known value for the gradient.
In other words, I want to call backward for some module, without previously calling a forward.
For instance, on a linear module with weights W and no bias such that y=Wx, this backward pass amounts to multiplication by W.t().
is it possible to do that kind of things?