add fuyu fast image processors

docs/source/en/model_doc/fuyu.md

@@ -75,11 +75,11 @@ A processor requires an image_processor and a tokenizer. Hence, inputs can be lo
 from PIL import Image
 from transformers import AutoTokenizer
 from transformers.models.fuyu.processing_fuyu import FuyuProcessor
-from transformers.models.fuyu.image_processing_fuyu import FuyuImageProcessor
+from transformers.models.fuyu.image_processing_fuyu_fast import FuyuImageProcessorFast
 
 
 tokenizer = AutoTokenizer.from_pretrained('adept-hf-collab/fuyu-8b')
-image_processor = FuyuImageProcessor()
+image_processor = FuyuImageProcessorFast()
 
 
 processor = FuyuProcessor(image_processor=image_processor, tokenizer=tokenizer)
@@ -118,6 +118,11 @@ The `LlamaTokenizer` is used as it is a standard wrapper around sentencepiece.
 [[autodoc]] FuyuImageProcessor
     - __call__
 
+## FuyuImageProcessor
+
+[[autodoc]] FuyuImageProcessorFast
+    - __call__
+
 ## FuyuProcessor
 
 [[autodoc]] FuyuProcessor

src/transformers/models/auto/image_processing_auto.py

@@ -98,7 +98,7 @@
             ("eomt", ("EomtImageProcessor", "EomtImageProcessorFast")),
             ("flava", ("FlavaImageProcessor", "FlavaImageProcessorFast")),
             ("focalnet", ("BitImageProcessor", "BitImageProcessorFast")),
-            ("fuyu", ("FuyuImageProcessor", None)),
+            ("fuyu", ("FuyuImageProcessor", "FuyuImageProcessorFast")),
             ("gemma3", ("Gemma3ImageProcessor", "Gemma3ImageProcessorFast")),
             ("gemma3n", ("SiglipImageProcessor", "SiglipImageProcessorFast")),
             ("git", ("CLIPImageProcessor", "CLIPImageProcessorFast")),

src/transformers/models/fuyu/__init__.py

@@ -20,6 +20,7 @@
 if TYPE_CHECKING:
     from .configuration_fuyu import *
     from .image_processing_fuyu import *
+    from .image_processing_fuyu_fast import *
     from .modeling_fuyu import *
     from .processing_fuyu import *
 else: