message: Removed unnessecary whitespaces, changed output to numpy array
diff: @@ -1882,7 +1882,6 @@ def rgb_to_grayscale(images, name=None):
  Returns:
  The converted grayscale image(s).
  -
  """
  with ops.name_scope(name, 'rgb_to_grayscale', [images]) as name:
  images = ops.convert_to_tensor(images, name='images')
  @@ -2937,7 +2936,7 @@ def rgb_to_yiq(images):
  >>> x = tf.constant([[[1.0, 2.0, 3.0]]])
  >>> tf.image.rgb_to_yiq(x)
  - <tf.Tensor: shape=(1, 1, 3), dtype=float32, numpy=array([[[ 1.815 , -0.91724455, 0.09962624]]], dtype=float32)>
  + array([[[ 1.815 , -0.91724455, 0.09962624]]], dtype=float32)
  Args:
  images: 2-D or higher rank. Image data to convert. Last dimension must be
  @@ -2945,7 +2944,6 @@ def rgb_to_yiq(images):
  Returns:
  images: tensor with the same shape as `images`.
  -
  """
  images = ops.convert_to_tensor(images, name='images')
  kernel = ops.convert_to_tensor(
  