[Misc] Remove unnecessary detokenization in multimodal processing (#12868)

tests/entrypoints/openai/test_audio.py

@@ -83,7 +83,7 @@ async def test_single_chat_session_audio(client: openai.AsyncOpenAI,
     choice = chat_completion.choices[0]
     assert choice.finish_reason == "length"
     assert chat_completion.usage == openai.types.CompletionUsage(
-        completion_tokens=10, prompt_tokens=202, total_tokens=212)
+        completion_tokens=10, prompt_tokens=201, total_tokens=211)
 
     message = choice.message
     message = chat_completion.choices[0].message
@@ -140,7 +140,7 @@ async def test_single_chat_session_audio_base64encoded(
     choice = chat_completion.choices[0]
     assert choice.finish_reason == "length"
     assert chat_completion.usage == openai.types.CompletionUsage(
-        completion_tokens=10, prompt_tokens=202, total_tokens=212)
+        completion_tokens=10, prompt_tokens=201, total_tokens=211)
 
     message = choice.message
     message = chat_completion.choices[0].message
@@ -196,7 +196,7 @@ async def test_single_chat_session_input_audio(
     choice = chat_completion.choices[0]
     assert choice.finish_reason == "length"
     assert chat_completion.usage == openai.types.CompletionUsage(
-        completion_tokens=10, prompt_tokens=202, total_tokens=212)
+        completion_tokens=10, prompt_tokens=201, total_tokens=211)
 
     message = choice.message
     message = chat_completion.choices[0].message

tests/entrypoints/openai/test_vision.py

@@ -92,7 +92,7 @@ async def test_single_chat_session_image(client: openai.AsyncOpenAI,
     choice = chat_completion.choices[0]
     assert choice.finish_reason == "length"
     assert chat_completion.usage == openai.types.CompletionUsage(
-        completion_tokens=10, prompt_tokens=775, total_tokens=785)
+        completion_tokens=10, prompt_tokens=774, total_tokens=784)
 
     message = choice.message
     message = chat_completion.choices[0].message
@@ -185,7 +185,7 @@ async def test_single_chat_session_image_base64encoded(
     choice = chat_completion.choices[0]
     assert choice.finish_reason == "length"
     assert chat_completion.usage == openai.types.CompletionUsage(
-        completion_tokens=10, prompt_tokens=775, total_tokens=785)
+        completion_tokens=10, prompt_tokens=774, total_tokens=784)
 
     message = choice.message
     message = chat_completion.choices[0].message

tests/entrypoints/openai/test_vision_embedding.py

@@ -93,5 +93,5 @@ async def test_image_embedding(server: RemoteOpenAIServer, model_name: str,
     assert len(embeddings.data) == 1
     assert len(embeddings.data[0].embedding) == 3072
     assert embeddings.usage.completion_tokens == 0
-    assert embeddings.usage.prompt_tokens == 764
-    assert embeddings.usage.total_tokens == 764
+    assert embeddings.usage.prompt_tokens == 763
+    assert embeddings.usage.total_tokens == 763

vllm/inputs/preprocess.py

@@ -260,9 +260,6 @@ class InputPreprocessor:
         mm_processor = self.mm_registry.create_processor(
             self.model_config, tokenizer)
 
-        if isinstance(prompt, list):
-            prompt = tokenizer.decode(prompt)
-
         if mm_processor_kwargs is None:
             mm_processor_kwargs = {}