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Be less strict when loading mixed ops weights. (#11769)
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@ -546,7 +546,8 @@ def mixed_precision_ops(quant_config={}, compute_dtype=torch.bfloat16, full_prec
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weight_key = f"{prefix}weight"
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weight = state_dict.pop(weight_key, None)
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if weight is None:
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raise ValueError(f"Missing weight for layer {layer_name}")
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logging.warning(f"Missing weight for layer {layer_name}")
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return
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manually_loaded_keys = [weight_key]
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