Is it ok to create a python-list of PyTorch modulelists? If for example, I want to have a few Conv1d in a layer and then another layer with different Conv1d. In each layer I ne
You need to register all sub-modules of your net properly so that pytorch can have access to their parameters, buffers etc.
This can be done only if you use proper containers.
If you store sub-modules in a simple pythonic list pytorch will have no idea there are sub modules there and they will be ignored.
So, if you use simple pythonic list to store the sub-modules, when you call, for instance, model.cuda()
the parameters of the sub-modules in the list will not be transferred to GPU, but rather remain on CPU. If you call model.parameters()
to pass all trainable parameters to an optimizer, all the sub-modules parameters will not be detected by pytorch and thus the optimizer will not "see" them.