Thank for response. Assume I have FCLs like (400, 784), (400, 400), (100, 400) and (10, 100).
After downsizing operations on cloned parameters, new network has a shape (350, 784), (125, 350), (125, 15), (10, 15). At this point,I can’t reassign this downsized network to the network whose shape is different as expected. Just want to use model(xb) as in tutorials for both original network and cropped network.
But referring to your idea I can define a new network with a size of downsized network, train it and run same test data on it. To measure difference, it should work fine, right?