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Benchmark PyTorch Custom Operators
Thanks for the excellent project. It is particularly useful when one wants to finetune from a pretrained LLM (only minimal change from the original scripts is required).
AutoModelForCausalLM.from_pretrained
under InjectModuleContext
gives warnings "Some weights of the model checkpoint at gpt2-medium were not used when initializing GPT2LMHeadModel ...", because the names of some parameters from the injected module has changed.
I think we can override the _load_from_state_dict
of the injected module to fix this issue. See _load_state_dict_into_model which is called from _load_pretrained_model in HF.
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