message: Add docstring for reciprocal_no_nan().
diff: @@ -4006,6 +4006,28 @@ def polyval(coeffs, x, name=None):
  @tf_export("math.reciprocal_no_nan", "reciprocal_no_nan")
  def reciprocal_no_nan(x, name=None):
  + """Performs a safe reciprocal operation, element wise.
  + If a particular element is zero, the reciprocal for that element is
  + also set to zero.
  +
  + For example:
  + ```python
  + x = tf.constant([2.0, 0.5, 0, 1], dtype=tf.float32)
  + tf.math.reciprocal_no_nan(x) # [ 0.5, 2, 0.0, 1.0 ]
  + ```
  +
  + Args:
  + x: A `Tensor` of type `float16`, `float32`, `float64`
  + `complex64` or `complex128`.
  + name: A name for the operation (optional).
  +
  + Returns:
  + A `Tensor` of same shape and type as `x`.
  +
  + Raises:
  + TypeError: x must be of a valid dtype.
  +
  + """
  with ops.name_scope(name, "reciprocal_no_nan", [x]) as scope:
  x = ops.convert_to_tensor(x, name="x")
  one = constant_ops.constant(1, dtype=x.dtype, name="one")
  