Compability issue for .pkl extension about sefa HOT 2 OPEN

Any model weights (ideally) should be stored like a dictionary or a recursive dictionary. Some key-value pairs should be the parameter name-pre-trained weight pairs, where parameter name should be a string and pre-trained weight should be a tensor (pytorch or tensorflow version, both of which can be easily converted to numpy.ndarray). Please Google how to convert a pytorch (or tensorflow) tensor to a numpy.ndarray if you are really new to these two DL frameworks.

So, I would recommend first load the pkl file with ipython, and then check how the file is organized with print() function.

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I have the same problem. I also have NVlab's 'Stylegan2-ADA', 'Stylegan2-ADA-PyTorch' models. (.pkl files)
#9 suggested a method, but I didn't understand it.
I do not know how to load the parameters as NumPy.ndarray.
I apologize for such a beginner's question.

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