[Misc][Log] Add log for tokenizer length not equal to vocabulary size (…

…vllm-project#3500)

vllm/engine/llm_engine.py

@@ -169,6 +169,14 @@ def _init_tokenizer(self, **tokenizer_init_kwargs):
         self.tokenizer: BaseTokenizerGroup = get_tokenizer_group(
             self.parallel_config.tokenizer_pool_config, **init_kwargs)
 
+        if len(self.get_tokenizer()) != self.model_config.get_vocab_size():
+            logger.warning(
+                f"The tokenizer's vocabulary size {len(self.get_tokenizer())}"
+                f" does not match the model's vocabulary size "
+                f"{self.model_config.get_vocab_size()}. This might "
+                f"cause an error in decoding. Please change config.json "
+                "to match the tokenizer's vocabulary size.")
+
     def _verify_args(self) -> None:
         self.model_config.verify_with_parallel_config(self.parallel_config)
         self.cache_config.verify_with_parallel_config(self.parallel_config)

vllm/entrypoints/openai/serving_engine.py

@@ -68,6 +68,14 @@ async def _post_init(self):
             tokenizer_mode=engine_model_config.tokenizer_mode,
             trust_remote_code=engine_model_config.trust_remote_code)
 
+        if len(self.tokenizer) != engine_model_config.get_vocab_size():
+            logger.warning(
+                f"The tokenizer's vocabulary size {len(self.tokenizer)}"
+                f" does not match the model's vocabulary size "
+                f"{engine_model_config.get_vocab_size()}. This might "
+                f"cause an error in decoding. Please change config.json "
+                "to match the tokenizer's vocabulary size.")
+
     async def show_available_models(self) -> ModelList:
         """Show available models. Right now we only have one model."""
         model_cards = [