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fix processing_utils.py: avoid deepcopying tokenizer in ProcessorMixin to improve performance #44894

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Merged
ydshieh merged 1 commit into from
Mar 23, 2026
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fix processing_utils.py: avoid deepcopying tokenizer in ProcessorMixin to improve performance #44894

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19 changes: 10 additions & 9 deletions src/transformers/processing_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -704,7 +704,16 @@ def to_dict(self) -> dict[str, Any]:
Returns:
`dict[str, Any]`: Dictionary of all the attributes that make up this processor instance.
"""
output = copy.deepcopy(self.__dict__)
# Exclude tokenizer attributes before deepcopying to avoid copying large vocab/token structures.
tokenizer_attributes = set()
for attribute in self.__class__.get_attributes():
if attribute in self.__dict__:
modality = _get_modality_for_attribute(attribute)
if modality == "tokenizer":
tokenizer_attributes.add(attribute)

dict_to_copy = {k: v for k, v in self.__dict__.items() if k not in tokenizer_attributes}
output = copy.deepcopy(dict_to_copy)

# Get the kwargs in `__init__`.
sig = inspect.signature(self.__init__)
Expand All @@ -714,14 +723,6 @@ def to_dict(self) -> dict[str, Any]:
# extra attributes to be kept
attrs_to_save += ["auto_map"]

# Remove tokenizers from output - they have their own vocab files and are saved separately.
# All other sub-processors (image_processor, feature_extractor, etc.) are kept in processor_config.json.
for attribute in self.__class__.get_attributes():
if attribute in output:
modality = _get_modality_for_attribute(attribute)
if modality == "tokenizer":
del output[attribute]

if "chat_template" in output:
del output["chat_template"]

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