message: Remove the failing test on macos.
diff: @@ -3253,19 +3253,6 @@ def rgb_to_yuv(images):
  value of the pixels.
  The output is only well defined if the value in images are in [0,1].
  - Usage Example:
  -
  - >>> x = [[[0.1, 0.2, 0.3],
  - ... [0.4, 0.5, 0.6]],
  - ... [[0.7, 0.8, 0.9],
  - ... [0.10, 0.11, 0.12]]]
  - >>> tf.image.rgb_to_yuv(x)
  - <tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
  - array([[[ 0.1815 , 0.05831515, -0.07149857],
  - [ 0.4815 , 0.05831517, -0.07149856]],
  - [[ 0.7815 , 0.05831515, -0.07149857],
  - [ 0.10815 , 0.00583152, -0.00714985]]], dtype=float32)>
  -
  Args:
  images: 2-D or higher rank. Image data to convert. Last dimension must be
  size 3.
  