[Misc] Implement `TokenizerLike.convert_tokens_to_ids` (#31796)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

vllm/tokenizers/deepseek_v32.py

@@ -2,7 +2,7 @@
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
 from pathlib import Path
-from typing import Any
+from typing import Any, overload
 
 from transformers import BatchEncoding
 
@@ -65,6 +65,7 @@ class DeepseekV32Tokenizer(CachedHfTokenizer):
         drop_thinking = messages[-1]["role"] == "user"
 
         encode_config = dict(thinking_mode=thinking_mode, drop_thinking=drop_thinking)
+
         prompt_str = encode_messages(messages, **encode_config)  # type: ignore
 
         if kwargs.get("tokenize", True):
@@ -161,6 +162,15 @@ class DeepseekV32Tokenizer(CachedHfTokenizer):
             add_special_tokens=add_special_tokens,
         )
 
+    @overload
+    def convert_tokens_to_ids(self, tokens: str) -> int: ...
+
+    @overload
+    def convert_tokens_to_ids(self, tokens: list[str]) -> list[int]: ...
+
+    def convert_tokens_to_ids(self, tokens: str | list[str]) -> int | list[int]:
+        return self.tokenizer.convert_tokens_to_ids(tokens)
+
     def convert_tokens_to_string(self, tokens: list[str]) -> str:
         return self.tokenizer.convert_tokens_to_string(tokens)
 

vllm/tokenizers/mistral.py

 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 from pathlib import Path
-from typing import TYPE_CHECKING, Any, cast
+from typing import TYPE_CHECKING, Any, cast, overload
 
 from mistral_common.protocol.instruct.request import (
     ChatCompletionRequest as MistralChatCompletionRequest,
@@ -441,6 +441,15 @@ class MistralTokenizer(TokenizerLike):
             ids, skip_special_tokens=skip_special_tokens
         )
 
+    @overload
+    def convert_tokens_to_ids(self, tokens: str) -> int: ...
+
+    @overload
+    def convert_tokens_to_ids(self, tokens: list[str]) -> list[int]: ...
+
+    def convert_tokens_to_ids(self, tokens: str | list[str]) -> int | list[int]:
+        return self.transformers_tokenizer.convert_tokens_to_ids(tokens)
+
     def convert_tokens_to_string(self, tokens: list[str]) -> str:
         to_decode_special_tokens = {SpecialTokens.tool_calls}
         if self.is_tekken:

vllm/tokenizers/protocol.py

 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 from pathlib import Path
-from typing import TYPE_CHECKING, Any, Protocol
+from typing import TYPE_CHECKING, Any, Protocol, overload
 
 if TYPE_CHECKING:
     from transformers import BatchEncoding
@@ -100,6 +100,15 @@ class TokenizerLike(Protocol):
     ) -> str | list[int]:
         raise NotImplementedError
 
+    @overload
+    def convert_tokens_to_ids(self, tokens: str) -> int: ...
+
+    @overload
+    def convert_tokens_to_ids(self, tokens: list[str]) -> list[int]: ...
+
+    def convert_tokens_to_ids(self, tokens: str | list[str]) -> int | list[int]:
+        raise NotImplementedError
+
     def convert_tokens_to_string(self, tokens: list[str]) -> str:
         raise NotImplementedError