[Renderer] Move MM Hash parsing into Renderer (#34711)

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

vllm/model_executor/models/transformers/multimodal.py

@@ -31,11 +31,14 @@ from vllm.multimodal.inputs import (
     MultiModalFeatureSpec,
     MultiModalFieldConfig,
     MultiModalInputs,
-    MultiModalUUIDDict,
     PlaceholderRange,
     mm_inputs,
 )
-from vllm.multimodal.parse import ImageProcessorItems, MultiModalDataItems
+from vllm.multimodal.parse import (
+    ImageProcessorItems,
+    MultiModalDataItems,
+    MultiModalUUIDItems,
+)
 from vllm.multimodal.processing import (
     BaseDummyInputsBuilder,
     BaseMultiModalProcessor,
@@ -177,9 +180,9 @@ class MultiModalProcessor(BaseMultiModalProcessor[MultiModalProcessingInfo]):
         self,
         prompt: str | list[int],
         mm_items: MultiModalDataItems,
-        hf_processor_mm_kwargs: Mapping[str, object],
+        mm_uuid_items: MultiModalUUIDItems | None = None,
+        hf_processor_mm_kwargs: Mapping[str, object] | None = None,
         tokenization_kwargs: Mapping[str, object] | None = None,
-        mm_uuids: MultiModalUUIDDict | None = None,
     ) -> MultiModalInputs:
         """
         Process multi-modal inputs to be used in vLLM.
@@ -187,6 +190,8 @@ class MultiModalProcessor(BaseMultiModalProcessor[MultiModalProcessingInfo]):
         Apply HF Processor on prompt text and multi-modal data together,
         outputting token IDs and processed tensors.
         """
+        if hf_processor_mm_kwargs is None:
+            hf_processor_mm_kwargs = {}
         if tokenization_kwargs is None:
             tokenization_kwargs = {}
 
@@ -258,7 +263,9 @@ class MultiModalProcessor(BaseMultiModalProcessor[MultiModalProcessingInfo]):
 
         # Use overrides if provided; fallback to data-dependent hashing.
         mm_hashes = self._hash_mm_items(
-            mm_items, hf_processor_mm_kwargs, tokenization_kwargs, mm_uuids=mm_uuids
+            mm_items,
+            mm_uuid_items,
+            hf_processor_mm_kwargs=hf_processor_mm_kwargs,
         )
 
         return mm_inputs(