Using Pytorch 0.4.1
I noticed that immediately after initializing a module with weight_norm, the value of module.weight.is_leaf is False.  After executing the module within a torch.no_grad() statement, the value changes to True.  Is this expected?
When the value is False, attempts to copy the module with copy.deepcopy fail with the error message: “Only tensors created explicitly by the user (graph leaves) support deepcopy at the moment”.
I noticed because I happen to want to be able to load a model and copy it before running any inference calls.  It’s not a big deal as I can work around it, but it seemed like a potentially unintended behavior.