Hi all,
I am trying to implement cosFace loss (Large Margin Cosine Loss), in this loss I need to normalize the weight of last Linear layer in the module every forward pass.
I have checked several related posts, like here 11.
But in my case, the normalization operation should have gradients and backpropagation.
So I might use some code like:
fc.weight = nn.Parameter(F.normalize(fc.weight, p=2, dim=1))

I just wanna know those cast operation(cast Tensor to Parameter) would affect the gradient or not?
Or there is another way to deal with it?
Thanks!