[Refactor] Define MM data parser in processing info instead of processor itself (#33260)

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

vllm/model_executor/models/midashenglm.py

@@ -531,6 +531,14 @@ class MiDashengLMProcessingInfo(BaseProcessingInfo):
         feature_extractor = hf_processor.feature_extractor
         return feature_extractor
 
+    def get_data_parser(self):
+        feature_extractor = self.get_feature_extractor()
+
+        return MultiModalDataParser(
+            target_sr=feature_extractor.sampling_rate,
+            expected_hidden_size=self._get_expected_hidden_size(),
+        )
+
     def get_supported_mm_limits(self) -> Mapping[str, int | None]:
         return {"audio": None}
 
@@ -575,10 +583,6 @@ class MiDashengLMDummyInputsBuilder(BaseDummyInputsBuilder[MiDashengLMProcessing
 class MiDashengLMMultiModalProcessor(
     BaseMultiModalProcessor[MiDashengLMProcessingInfo]
 ):
-    def _get_data_parser(self) -> MultiModalDataParser:
-        feature_extractor = self.info.get_feature_extractor()
-        return MultiModalDataParser(target_sr=feature_extractor.sampling_rate)
-
     def _call_hf_processor(
         self,
         prompt: str,