fix torch_dtype check of export_model
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@ -57,7 +57,7 @@ def export_model(args: Optional[Dict[str, Any]] = None):
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raise ValueError("The model is not a `PreTrainedModel`, export aborted.")
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raise ValueError("The model is not a `PreTrainedModel`, export aborted.")
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setattr(model.config, "use_cache", True)
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setattr(model.config, "use_cache", True)
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if getattr(model.config, "torch_dtype", None) == "bfloat16":
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if getattr(model.config, "torch_dtype", None) == torch.bfloat16:
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model = model.to(torch.bfloat16).to("cpu")
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model = model.to(torch.bfloat16).to("cpu")
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else:
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else:
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model = model.to(torch.float16).to("cpu")
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model = model.to(torch.float16).to("cpu")
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