I have a one-layer network defined by nn.ConvTranspose2d(). Now I need to change the parameter of this network (weight, bias), and re-evaluate the output w.r.t the original input. But I still need to maintain the original network. All I need is the output w.r.t new parameter. Then work on the original network with old parameter.
Is that possible that I still use nn.ConvTranspose2d() to realize it? If not what other function can I use?