code: def elu(x):
      """ELU.
  
      Exponential Linear Unit.
  
      Arguments:
          x : A `Tensor` with type `float`, `double`, `int32`, `int64`, `uint8`,
              `int16`, or `int8`
  
      Returns:
          A `tuple` of `tf.Tensor`. This layer inference, i.e. output Tensors
          at training and testing time.
  
      References:
          Fast and Accurate Deep Network Learning by Exponential Linear Units,
          Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter. 2015.
  
      Links:
          [http://arxiv.org/abs/1511.07289](http://arxiv.org/abs/1511.07289)
  
      """
  
      return tf.nn.elu(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 12 for calling a global function with example usage: elu(x) and returns: tf