transformers-

tokenization_chatglm.py

@@ -265,6 +265,7 @@ class ChatGLM4Tokenizer(PreTrainedTokenizer):
             max_length: Optional[int] = None,
             padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
             pad_to_multiple_of: Optional[int] = None,
+            padding_side: Optional[bool] = None,
             return_attention_mask: Optional[bool] = None,
     ) -> dict:
         """
@@ -292,7 +293,7 @@ class ChatGLM4Tokenizer(PreTrainedTokenizer):
         """
         # Load from model defaults
         assert self.padding_side == "left"
-
+        assert padding_side or "left"  == "left"
         required_input = encoded_inputs[self.model_input_names[0]]
         seq_length = len(required_input)