code: def layer_norm_and_dropout(input_tensor, dropout_prob, name=None):
      """Runs layer normalization followed by dropout."""
      output_tensor = layer_norm(input_tensor, name)
      output_tensor = dropout(output_tensor, dropout_prob)
      return output_tensor
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import copy
  import json
  import math
  import re
  import six
  import tensorflow
  from adversarial_filtering.bert import optimization
label_desc: Use image node_id 6 for calling a global function with example usage: layer_norm_and_dropout(input_tensor, dropout_prob, name) and returns: output_tensor