Can I count on the parameters() method of my neural network to always return parameters (and, therefore, their weights/gradients) in the same order throughout the life of the network?
Would the same go for how the children are returned in the named_children() method?
I don’t see this explicitly addressed in documentation or in forums.
Thank you in advance.