code: def div(a, b):
      """
      A wrapper around tf division that does more automatic casting of
      the input.
      """
  
      def divide(a, b):
          """Division"""
          return a / b
  
      return op_with_scalar_cast(a, b, divide)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import logging
  import math
  import os
  import time
  import warnings
  import numpy
  import six
  from six.moves import xrange
  import tensorflow
  from cleverhans.compat import device_lib
  from cleverhans.compat import reduce_sum, reduce_mean
  from cleverhans.compat import reduce_max
  from cleverhans.compat import softmax_cross_entropy_with_logits
  from cleverhans.utils import batch_indices, _ArgsWrapper, create_logger
label_desc: Use image node_id 21 for calling a global function with example usage: div(a, b) and returns: op_with_scalar_cast, unknown