Add **kwargs (#20037)

src/transformers/models/beit/image_processing_beit.py

@@ -358,6 +358,7 @@ class BeitImageProcessor(BaseImageProcessor):
         do_reduce_labels: Optional[bool] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/clip/image_processing_clip.py

@@ -237,6 +237,7 @@ class CLIPImageProcessor(BaseImageProcessor):
         do_convert_rgb: bool = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: Optional[ChannelDimension] = ChannelDimension.FIRST,
+        **kwargs
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/convnext/image_processing_convnext.py

@@ -218,6 +218,7 @@ class ConvNextImageProcessor(BaseImageProcessor):
         image_std: Optional[Union[float, List[float]]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/deit/image_processing_deit.py

@@ -218,6 +218,7 @@ class DeiTImageProcessor(BaseImageProcessor):
         image_std: Optional[Union[float, List[float]]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/dpt/image_processing_dpt.py

@@ -252,6 +252,7 @@ class DPTImageProcessor(BaseImageProcessor):
         image_std: Optional[Union[float, List[float]]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/flava/image_processing_flava.py

@@ -492,6 +492,7 @@ class FlavaImageProcessor(BaseImageProcessor):
         codebook_image_std: Optional[Iterable[float]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/glpn/image_processing_glpn.py

@@ -128,7 +128,7 @@ class GLPNImageProcessor(BaseImageProcessor):
         do_rescale: Optional[bool] = None,
         return_tensors: Optional[Union[TensorType, str]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
-        **kwargs
+        **kwargs,
     ) -> BatchFeature:
         """
         Preprocess the given images.

src/transformers/models/imagegpt/image_processing_imagegpt.py

@@ -153,6 +153,7 @@ class ImageGPTImageProcessor(BaseImageProcessor):
         clusters: Optional[Union[int, List[int]]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: Optional[Union[str, ChannelDimension]] = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/layoutlmv2/image_processing_layoutlmv2.py

@@ -187,6 +187,7 @@ class LayoutLMv2ImageProcessor(BaseImageProcessor):
         tesseract_config: Optional[str] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/layoutlmv3/image_processing_layoutlmv3.py

@@ -261,6 +261,7 @@ class LayoutLMv3ImageProcessor(BaseImageProcessor):
         tesseract_config: Optional[str] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/levit/image_processing_levit.py

@@ -242,6 +242,7 @@ class LevitImageProcessor(BaseImageProcessor):
         image_std: Optional[Union[float, Iterable[float]]] = None,
         return_tensors: Optional[TensorType] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> BatchFeature:
         """
         Preprocess an image or batch of images to be used as input to a LeViT model.

src/transformers/models/mobilevit/image_processing_mobilevit.py

@@ -231,6 +231,7 @@ class MobileViTImageProcessor(BaseImageProcessor):
         do_flip_channel_order: bool = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/perceiver/image_processing_perceiver.py

@@ -235,6 +235,7 @@ class PerceiverImageProcessor(BaseImageProcessor):
         image_std: Optional[Union[float, List[float]]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/poolformer/image_processing_poolformer.py

@@ -283,6 +283,7 @@ class PoolFormerImageProcessor(BaseImageProcessor):
         image_std: Optional[Union[float, List[float]]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/segformer/image_processing_segformer.py

@@ -334,6 +334,7 @@ class SegformerImageProcessor(BaseImageProcessor):
         do_reduce_labels: Optional[bool] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/videomae/image_processing_videomae.py

@@ -292,6 +292,7 @@ class VideoMAEImageProcessor(BaseImageProcessor):
         image_std: Optional[Union[float, List[float]]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/vilt/image_processing_vilt.py

@@ -389,6 +389,7 @@ class ViltImageProcessor(BaseImageProcessor):
         do_pad: Optional[bool] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
+        **kwargs,
     ) -> PIL.Image.Image:
         """
         Preprocess an image or batch of images.

src/transformers/models/vit/image_processing_vit.py

@@ -193,6 +193,7 @@ class ViTImageProcessor(BaseImageProcessor):
         image_std: Optional[Union[float, List[float]]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
         data_format: Union[str, ChannelDimension] = ChannelDimension.FIRST,
+        **kwargs,
     ):
         """
         Preprocess an image or batch of images.