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GMvandeVen / continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

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about kafc fisher infromation matrix

fmaaf opened this issue · comments

commented

Hi, thanks for your great work! I met the following error when I turn fisher_kfac to True :

raise Exception(f"Layer {label} does not have phantom parameters")
Exception: Layer fcLayer1 does not have phantom parameters

Cloud you please help me find what's wrong with this exception?
Thanks!

commented

Thanks for your interest in my code, and thank you for raising this error. I haven't fully tested the option --fisher-kfac yet in all possible configurations (that's why I haven't included it in the documentation yet). I'm afraid at the moment I don't have time to look into this, my apologies, but I hope to get back to it in the near future.