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Fix _load_state_dict_into_meta_model with device_map=None #36488

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Mar 2, 2025
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3 changes: 1 addition & 2 deletions src/transformers/modeling_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -785,8 +785,7 @@ def _load_state_dict_into_meta_model(
tensor_device = None
if device_map is not None and device_map.get("", None) is not None:
tensor_device = device_map[""].index if isinstance(device_map[""], torch.device) else device_map[""]

device_map_regex = "|".join(sorted(device_map.keys(), reverse=True))
device_map_regex = "|".join(sorted(device_map.keys(), reverse=True))
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Yeah sorry, i missed that. Make sure to put it under the condition if device_map is not None. Right now it requires that it also have "" in its keys.


# we need this later to initialize tensor parallelism
if device_mesh is not None:
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