Comments (4)
see #21 how to merge dicts of parameters of several networks:
{**dict(model0.named_parameters()), **dict(model1.named_parameters())}
you need to make sure there is no name overlap between two models
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Yes, that's what I figured -- I was wondering if there's a way around this, because it doesn't sound like a very clean solution.
from pytorchviz.
well the more pytorchy way would be to stick the two models into a class or Sequential and use that, I guess
from pytorchviz.
Alright, I guess I'll do that. Thanks.
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