Improve training performance with torch.compile and torch.amp #412
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- Update AMP usage from `torch.cuda.amp` to `torch.amp` for broader device compatibility. - Add `torch.compile` to models in various training scripts (SFT, LoRA, DPO, Distillation, Pretrain, Distill Reason) to leverage potential performance gains. - Implement a custom `load_state_dict` in `MiniMindForCausalLM` to handle state dict keys potentially modified by `torch.compile`.
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torch.cuda.amptotorch.ampfor broader device compatibility.torch.compileto models in various training scripts (SFT, LoRA, DPO, Distillation, Pretrain, Distill Reason) to leverage potential performance gains.load_state_dictinMiniMindForCausalLMto handle state dict keys potentially modified bytorch.compile.