code: def get_gaussian_tensor(mean, log_var):
      z = tf.random_normal(tf.shape(mean), 0, 1, dtype=tf.float32)
      z = mean + tf.exp(log_var / 2.0) * z
      return z
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import contrib
  import tensorflow.compat.v1
  from tensorflow.python.ops import summary_op_util
label_desc: Use image node_id 19 for calling a global function with example usage: get_gaussian_tensor(mean, log_var) and returns: z