for every element in the tensor. Input range is `[-1,1]` and output range is
  `[-inf, inf]`. If input is `-1`, output will be `-inf` and if the
  input is `1`, output will be `inf`. Values outside the range will have
  `nan` as output.

  ```python
  x = tf.constant([-float("inf"), -1, -0.5, 1, 0, 0.5, 10, float("inf")])
  tf.math.atanh(x) ==> [nan -inf -0.54930615 inf  0. 0.54930615 nan nan]
  ```
  }];

  let arguments = (ins