feat[vLLM x v5]: Rename audio_processor to feature_extractor on Granite Speech and Phi-4 Multimodal processors

src/transformers/models/granite_speech/processing_granite_speech.py

@@ -19,6 +19,7 @@
 from ...processing_utils import ProcessorMixin
 from ...tokenization_python import PreTokenizedInput, TextInput
 from ...utils import auto_docstring, is_torch_available, logging
+from ...utils.deprecation import deprecate_kwarg
 from ...utils.import_utils import requires_backends
 
 
@@ -30,9 +31,10 @@
 
 @auto_docstring
 class GraniteSpeechProcessor(ProcessorMixin):
+    @deprecate_kwarg("audio_processor", new_name="feature_extractor", version="v5.20")
     def __init__(
         self,
-        audio_processor,
+        feature_extractor,
         tokenizer,
         audio_token="<|audio|>",
         chat_template=None,
@@ -44,7 +46,12 @@ def __init__(
             audio tokens inserted depends on the audio feature dimensions extracted by the audio processor.
         """
         self.audio_token = tokenizer.audio_token if hasattr(tokenizer, "audio_token") else audio_token
-        super().__init__(audio_processor, tokenizer, chat_template=chat_template)
+        super().__init__(feature_extractor, tokenizer, chat_template=chat_template)
+
+    @property
+    def audio_processor(self):
+        logger.warning_once("`audio_processor` is deprecated! Use `feature_extractor` instead!")
+        return self.feature_extractor
 
     @auto_docstring
     def __call__(
@@ -64,7 +71,7 @@ def __call__(
             # text / audio inputs here because some inference engines will
             # trigger the conditions due to the way they call multimodal
             # processors, e.g., vLLM.
-            audio_inputs = self.audio_processor(audio, device=device)
+            audio_inputs = self.feature_extractor(audio, device=device)
 
             # TODO (@alex-jw-brooks); we should add a util to get_num_audio_tokens
             # from feature lengths and call it here, rather than returning it

src/transformers/models/phi4_multimodal/processing_phi4_multimodal.py

@@ -24,6 +24,7 @@
 from ...processing_utils import ProcessingKwargs, ProcessorMixin, Unpack
 from ...tokenization_utils_base import TextInput
 from ...utils import auto_docstring, logging
+from ...utils.deprecation import deprecate_kwarg
 
 
 logger = logging.get_logger(__name__)
@@ -39,18 +40,24 @@ class Phi4MultimodalProcessorKwargs(ProcessingKwargs, total=False):
 
 @auto_docstring
 class Phi4MultimodalProcessor(ProcessorMixin):
+    @deprecate_kwarg("audio_processor", new_name="feature_extractor", version="v5.20")
     def __init__(
         self,
         image_processor,
-        audio_processor,
+        feature_extractor,
         tokenizer,
         **kwargs,
     ):
         self.image_token = tokenizer.image_token
         self.image_token_id = tokenizer.image_token_id
         self.audio_token = tokenizer.audio_token
         self.audio_token_id = tokenizer.audio_token_id
-        super().__init__(image_processor, audio_processor, tokenizer, **kwargs)
+        super().__init__(image_processor, feature_extractor, tokenizer, **kwargs)
+
+    @property
+    def audio_processor(self):
+        logger.warning_once("`audio_processor` is deprecated! Use `feature_extractor` instead!")
+        return self.feature_extractor
 
     @auto_docstring
     def __call__(
@@ -78,7 +85,7 @@ def __call__(
         audio_kwargs = output_kwargs["audio_kwargs"]
 
         image_inputs = self.image_processor(images, **image_kwargs) if images is not None else {}
-        audio_inputs = self.audio_processor(audio, **audio_kwargs) if audio is not None else {}
+        audio_inputs = self.feature_extractor(audio, **audio_kwargs) if audio is not None else {}
 
         # We pop here for images as we don't need it later
         num_img_tokens = image_inputs.pop("num_img_tokens", [])