update tokenizer for compatibility with new transformers
Browse filespadding_side added to _pad method signature in transformers 4.45
- tokenization_chatglm.py +3 -0
tokenization_chatglm.py
CHANGED
@@ -271,6 +271,8 @@ class ChatGLMTokenizer(PreTrainedTokenizer):
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padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
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pad_to_multiple_of: Optional[int] = None,
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return_attention_mask: Optional[bool] = None,
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) -> dict:
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"""
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Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
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@@ -297,6 +299,7 @@ class ChatGLMTokenizer(PreTrainedTokenizer):
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"""
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# Load from model defaults
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assert self.padding_side == "left"
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required_input = encoded_inputs[self.model_input_names[0]]
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seq_length = len(required_input)
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padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
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pad_to_multiple_of: Optional[int] = None,
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return_attention_mask: Optional[bool] = None,
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+
padding_side: Optional[bool] = None,
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+
**kwargs
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) -> dict:
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"""
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Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
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"""
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# Load from model defaults
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assert self.padding_side == "left"
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+
assert padding_side is None or padding_side == "left"
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required_input = encoded_inputs[self.model_input_names[0]]
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seq_length = len(required_input)
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