Hi,all
I want know how can I do mean-variance normalization  when I calculate the loss?
I try to convert the tensor to a numpy array ,and convert the array back to tensor after normalize in loss function. but it will cause some problem when I use loss.backward() ,so I don’t know how to do that.
Thanks in advance