docs: def decode_jpeg(image_buffer, scope=None):
    """Decode a JPEG string into one 3-D float image Tensor.
  
    Args:
      image_buffer: scalar string Tensor.
      scope: Optional scope for name_scope.
    Returns:
      3-D float Tensor with values ranging from [0, 1).
    """
    with tf.name_scope(values=[image_buffer], name=scope,
                       default_name='decode_jpeg'):
      # Decode the string as an RGB JPEG.
      # Note that the resulting image contains an unknown height and width
      # that is set dynamically by decode_jpeg. In other words, the height
      # and width of image is unknown at compile-time.
      image = tf.image.decode_jpeg(image_buffer, channels=3)
  
      # After this point, all image pixels reside in [0,1)
      # until the very end, when they're rescaled to (-1, 1).  The various
      # adjust_* ops all require this range for dtype float.
      image = tf.image.convert_image_dtype(image, dtype=tf.float32)
      return image