code: def gelu(x):
      """GELU.
  
      Gaussian Error Linear Units. GLUEs are nonconvex, nonmonotonic.
  
      Arguments:
        x: Input tensor.
  
      References:
        Gaussian Error Linear Units (GELUs), Hendrycks et. al, 2018.
  
      Links:
          [https://arxiv.org/pdf/1606.08415.pdf](https://arxiv.org/pdf/1606.08415.pdf)
      """
  
      return (
          0.5
          * x
          * (
              1
              + tf.tanh(
                  tf.sqrt(2 / np.pi) * (x + 0.044715 * tf.pow(x, 3))
              )
          )
      )
  
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 16 for calling a global function with example usage: gelu(x) and returns: unknown