message: Document undocumented ops
  Fix missing carriage return
diff: @@ -1136,6 +1136,25 @@ def _get_diff_for_monotonic_comparison(x):
  v1=['debugging.is_numeric_tensor', 'is_numeric_tensor'])
  @deprecation.deprecated_endpoints('is_numeric_tensor')
  def is_numeric_tensor(tensor):
  + """Returns `True` if the elements of `tensor` are numbers.
  +
  + Specifically, returns `True` if the dtype of `tensor` is one of the following:
  +
  + * `tf.float32`
  + * `tf.float64`
  + * `tf.int8`
  + * `tf.int16`
  + * `tf.int32`
  + * `tf.int64`
  + * `tf.uint8`
  + * `tf.qint8`
  + * `tf.qint32`
  + * `tf.quint8`
  + * `tf.complex64`
  +
  + Returns `False` if `tensor` is of a non-numeric type or if `tensor` is not
  + a `tf.Tensor` object.
  + """
  return isinstance(tensor, ops.Tensor) and tensor.dtype in NUMERIC_TYPES
  @@ -1283,6 +1302,18 @@ def assert_same_float_dtype(tensors=None, dtype=None):
  'debugging.assert_scalar', v1=['debugging.assert_scalar', 'assert_scalar'])
  @deprecation.deprecated_endpoints('assert_scalar')
  def assert_scalar(tensor, name=None):
  + """Statically checks whether a tensor is zero-dimensional.
  +
  + Args:
  + tensor: Value to test.
  + name: A name for this operation (optional). Defaults to "assert_scalar".
  +
  + Raises:
  + ValueError: If `tensor`'s shape has more than zero dimensions.
  +
  + Returns:
  + The input `tensor`, possibly converted to a `tf.Tensor`
  + """
  with ops.name_scope(name, 'assert_scalar', [tensor]) as name_scope:
  tensor = ops.convert_to_tensor(tensor, name=name_scope)
  shape = tensor.get_shape()
  