Hi, after training my network I want to prune some of the parameters.
I get my weights and biases as ‘final_parameters = list(model.parameters())’ and append each element to a different list to play with them. However, when I need original parameters, list(model.parameters()) does not work because I noticed original parameters are also modified even though I modified them in a different list. So how can I handle this issue?