message: linting
  corrected requested linting errors
diff: @@ -407,7 +407,8 @@ def _random_flip(image, flip_index, seed, scope_name):
  Args:
  image: 4-D Tensor of shape `[batch, height, width, channels]` or 3-D Tensor
  of shape `[height, width, channels]`.
  - flip_index: Dimension along which to flip the image. Vertical: 0, Horizontal: 1
  + flip_index: Dimension along which to flip the image.
  + Vertical: 0, Horizontal: 1
  seed: A Python integer. Used to create a random seed. See
  `tf.compat.v1.set_random_seed` for behavior.
  scope_name: Name of the scope in which the ops are added.
  @@ -1953,9 +1954,10 @@ def adjust_hue(image, delta, name=None):
  """Adjust hue of RGB images.
  This is a convenience method that converts an RGB image to float
  - representation, converts it to HSV, adds an offset to the hue channel, converts
  - back to RGB and then back to the original data type. If several adjustments
  - are chained it is advisable to minimize the number of redundant conversions.
  + representation, converts it to HSV, adds an offset to the
  + hue channel, converts back to RGB and then back to the original
  + data type. If several adjustments are chained it is advisable to minimize
  + the number of redundant conversions.
  `image` is an RGB image. The image hue is adjusted by converting the
  image(s) to HSV and rotating the hue channel (H) by
  @@ -2112,10 +2114,10 @@ def adjust_saturation(image, saturation_factor, name=None):
  """Adjust saturation of RGB images.
  This is a convenience method that converts RGB images to float
  - representation, converts them to HSV, adds an offset to the saturation channel,
  - converts back to RGB and then back to the original data type. If several
  - adjustments are chained it is advisable to minimize the number of redundant
  - conversions.
  + representation, converts them to HSV, adds an offset to the
  + saturation channel, converts back to RGB and then back to the original
  + data type. If several adjustments are chained it is advisable to minimize
  + the number of redundant conversions.
  `image` is an RGB image or images. The image saturation is adjusted by
  converting the images to HSV and multiplying the saturation (S) channel by
  @@ -3920,8 +3922,8 @@ def combined_non_max_suppression(boxes,
  representing a single score corresponding to each box (each row of boxes).
  max_output_size_per_class: A scalar integer `Tensor` representing the
  maximum number of boxes to be selected by non-max suppression per class
  - max_total_size: A scalar representing the maximum number of boxes retained over
  - all classes.
  + max_total_size: A scalar representing the maximum number of boxes retained
  + over all classes.
  iou_threshold: A float representing the threshold for deciding whether boxes
  overlap too much with respect to IOU.
  score_threshold: A float representing the threshold for deciding when to
  