message: Fixes docstring for tf.math.abs
diff: @@ -254,13 +254,15 @@ def abs(x, name=None): # pylint: disable=redefined-builtin
  corresponding element in the input.
  Given a tensor `x` of complex numbers, this operation returns a tensor of type
  - `float32` or `float64` that is the absolute value of each element in `x`. All
  - elements in `x` must be complex numbers of the form \\(a + bj\\). The
  - absolute value is computed as \\( \sqrt{a^2 + b^2}\\). For example:
  - ```python
  - x = tf.constant([[-2.25 + 4.75j], [-3.25 + 5.75j]])
  - tf.abs(x) # [5.25594902, 6.60492229]
  - ```
  + `float32` or `float64` that is the absolute value of each element in `x`. For
  + a complex number \\(a + bj\\), its absolute value is computed as \\(\sqrt{a^2
  + + b^2}\\). For example:
  +
  + >>> x = tf.constant([[-2.25 + 4.75j], [-3.25 + 5.75j]])
  + >>> tf.abs(x)
  + <tf.Tensor: shape=(2, 1), dtype=float64, numpy=
  + array([[5.25594901],
  + [6.60492241]])>
  Args:
  x: A `Tensor` or `SparseTensor` of type `float16`, `float32`, `float64`,
  @@ -268,10 +270,9 @@ def abs(x, name=None): # pylint: disable=redefined-builtin
  name: A name for the operation (optional).
  Returns:
  - A `Tensor` or `SparseTensor` the same size, type, and sparsity as `x` with
  - absolute values.
  - Note, for `complex64` or `complex128` input, the returned `Tensor` will be
  - of type `float32` or `float64`, respectively.
  + A `Tensor` or `SparseTensor` of the same size, type and sparsity as `x`,
  + with absolute values. Note, for `complex64` or `complex128` input, the
  + returned `Tensor` will be of type `float32` or `float64`, respectively.
  """
  with ops.name_scope(name, "Abs", [x]) as name:
  x = ops.convert_to_tensor(x, name="x")
  