message: *_jpeg_quality funcs only accept single image
  The docs incorrectly stated that you could pass in "images".
diff: @@ -2003,7 +2003,7 @@ def random_jpeg_quality(image, min_jpeg_quality, max_jpeg_quality, seed=None):
  `max_jpeg_quality` must be in the interval `[0, 100]`.
  Args:
  - image: RGB image or images. Size of the last dimension must be 3.
  + image: 3D image. Size of the last dimension must be 1 or 3.
  min_jpeg_quality: Minimum jpeg encoding quality to use.
  max_jpeg_quality: Maximum jpeg encoding quality to use.
  seed: An operation-specific seed. It will be used in conjunction with the
  @@ -2012,7 +2012,7 @@ def random_jpeg_quality(image, min_jpeg_quality, max_jpeg_quality, seed=None):
  interaction with the graph-level random seed.
  Returns:
  - Adjusted image(s), same shape and DType as `image`.
  + Adjusted image, same shape and DType as `image`.
  Raises:
  ValueError: if `min_jpeg_quality` or `max_jpeg_quality` is invalid.
  @@ -2040,19 +2040,19 @@ def random_jpeg_quality(image, min_jpeg_quality, max_jpeg_quality, seed=None):
  def adjust_jpeg_quality(image, jpeg_quality, name=None):
  """Adjust jpeg encoding quality of an image.
  - This is a convenience method that converts images to uint8 representation,
  - encodes them to jpeg with `jpeg_quality`, decodes them, and then converts back
  + This is a convenience method that converts an image to uint8 representation,
  + encodes it to jpeg with `jpeg_quality`, decodes it, and then converts back
  to the original data type.
  `jpeg_quality` must be in the interval `[0, 100]`.
  Args:
  - image: image or images. Size of the last dimension must be None, 1 or 3.
  + image: 3D image. Size of the last dimension must be None, 1 or 3.
  jpeg_quality: Python int or Tensor of type int32. jpeg encoding quality.
  name: A name for this operation (optional).
  Returns:
  - Adjusted image(s), same shape and DType as `image`.
  + Adjusted image, same shape and DType as `image`.
  Usage Example:
  ```python
  