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

## Keras

* This will be the final release before the launch of Keras 3.0, when Keras will become multi-backend. For the compatibility page and other info, please see: https://github.com/keras-team/keras-core

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as: