Is there anyway that I can save the model for later use about efficient-kan HOT 7 CLOSED

You can use:
torch.save(model, your_model_path)

Then load it to do inference:
model = torch.load(model_path) model.eval()

For more information: https://pytorch.org/tutorials/beginner/saving_loading_models.html

from efficient-kan.

Have you tried this? Not work for me. Because the torch saving seems to use the pickle too.
AttributeError: Can't pickle local object 'Symbolic_KANLayer.__init__.<locals>.<listcomp>.<listcomp>.<lambda>'

from efficient-kan.

Can you show me your code?

from efficient-kan.

@binhnguyen7tiki Please post the full error message.

@binhna I don't think my implementation includes Symbolic_KANLayer. It should be part of the official implementation.

BTW, it seems the two accounts are the same person? Correct me if I'm wrong.

from efficient-kan.

Have you tried this? Not work for me. Because the torch saving seems to use the pickle too. AttributeError: Can't pickle local object 'Symbolic_KANLayer.__init__.<locals>.<listcomp>.<listcomp>.<lambda>'

Do you use the original KAN (https://github.com/KindXiaoming/pykan) for training your model? Then, ask them there better.

from efficient-kan.

Seemingly unrelated to this repo. Close for now and if I'm wrong I'll reopen it.

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@Blealtan @hoangthangta sorry for the late reply, and yes, I checked the code again and it was the original KAN indeed. I switched to efficient-kan now and everything seems to be fine.
Thank you guys for your help.
PS: @Blealtan correct! it was the same guy, I accidentally used my work account in the first place.

from efficient-kan.