Hi everyone 
I have a conceptual question regarding for loops in the forward method  of a Convolutional Neural Network and the corresponding backpropagation.
I read that when you want to loop over modules in the forward method you can make use of the nn.ModuleList class. But what if I would like to use a for loop for something else? How does this influence the backpropagation? Say I would like to loop over the channels of an image and process them individually, does that influence the backpropagation?
Any help is very much appreciated!
All the best
snowe