code: def selu(x):
      """SELU.
  
      Scaled Exponential Linear Unit.
  
      Arguments:
          x : A `Tensor` with type `float`, `double`, `int32`, `int64`, `uint8`,
              `int16`, or `int8`
  
      References:
          Self-Normalizing Neural Networks, Klambauer et al., 2017.
  
      Links:
          [https://arxiv.org/abs/1706.02515](https://arxiv.org/abs/1706.02515)
  
      """
      return tf.nn.selu(x)
  
imports: from __future__ import division, print_function, absolute_import
  import tensorflow.compat.v1
  import numpy
  import tflearn
  from .None import initializations
  from .None import variables
  from .utils import get_from_module
label_desc: Use image node_id 14 for calling a global function with example usage: selu(x) and returns: tf