fix-copies

src/transformers/models/aria/image_processing_aria.py

@@ -31,37 +31,14 @@
     PILImageResampling,
     get_image_size,
     infer_channel_dimension_format,
-    is_valid_image,
+    make_batched_images,
     to_numpy_array,
     valid_images,
     validate_preprocess_arguments,
 )
 from ...utils import TensorType
 
 
-def make_batched_images(images) -> List[List[ImageInput]]:
-    """
-    Accepts images in list or nested list format, and makes a list of images for preprocessing.
-
-    Args:
-        images (`Union[List[List[ImageInput]], List[ImageInput], ImageInput]`):
-            The input image.
-
-    Returns:
-        list: A list of images.
-    """
-    if isinstance(images, (list, tuple)) and isinstance(images[0], (list, tuple)) and is_valid_image(images[0][0]):
-        return [img for img_list in images for img in img_list]
-
-    elif isinstance(images, (list, tuple)) and is_valid_image(images[0]):
-        return images
-
-    elif is_valid_image(images):
-        return [images]
-
-    raise ValueError(f"Could not make batched video from {images}")
-
-
 def divide_to_patches(image: np.array, patch_size: int, input_data_format) -> List[np.array]:
     """
     Divides an image into patches of a specified size.