Computes scaled exponential linear: `scale * alpha * (exp(features) - 1)`
  }];

  let description = [{
if < 0, `scale * features` otherwise.

To be used together with
`initializer = tf.variance_scaling_initializer(factor=1.0, mode='FAN_IN')`.
For correct dropout, use `tf.contrib.nn.alpha_dropout`.

See [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515)
  }];

  let arguments = (ins