code: def decode_yuy2(contents, size, name=None):
      """
      Decode a YUY2-encoded image to a uint8 tensor.
  
      Args:
        contents: A `Tensor` of type `string`. 0-D.  The YUY2-encoded image.
        size: A 1-D int32 Tensor of 2 elements: height, width. The size
          for the images.
        name: A name for the operation (optional).
  
      Returns:
        A `Tensor` of type `uint8` and shape of `[height, width, 3]` (RGB).
      """
      return core_ops.io_decode_yuy2(contents, size=size, name=name)
  
file_path: io/tensorflow_io/python/experimental/image_ops.py
imports: import tensorflow
  from tensorflow_io.python.ops import core_ops
label_desc: Use image node_id 10 for calling a global function with example usage: decode_yuy2(contents, size, name) and returns: core_ops