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validate checkpoint is consistent with meta_to_tune flag #2736

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validate checkpoint is consistent with meta_to_tune flag #2736

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validate checkpoint is consistent with meta_to_tune flag (#2736)
lijia19 May 15, 2025
6647e8c
Merge branch 'main' into export-D74784778
lijia19 May 16, 2025
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16 changes: 16 additions & 0 deletions torchtune/models/convert_weights.py
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Original file line number Diff line number Diff line change
Expand Up @@ -73,6 +73,22 @@ def get_mapped_key(key: str, mapping_dict: dict[str, str]) -> str:
return new_key


def is_in_meta_format(state_dict: dict[str, torch.Tensor]) -> bool:
"""
Check whether the state dict is in Meta's format by checking the presence
of unique keys only available in META format.
"""
unique_meta_keys = {k for k, v in _FROM_META.items() if k != v}
for key in state_dict.keys():
if key not in ["rope.freqs"]: # Skip loading the position embeddings
if any(k.isdigit() for k in key.split(".")):
# Replace layer number with "{}" to create key for lookup
key = re.sub(r"(\.\d+)", ".{}", key)
if key in unique_meta_keys:
return True
return False


def meta_to_tune(state_dict: dict[str, torch.Tensor]) -> dict[str, torch.Tensor]:
"""
Convert a state dict from Meta's format to torchtune's format. State dicts
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