code: def create_initializer(initializer_range=0.02):
      """Creates a `truncated_normal_initializer` with the given range."""
      return tf.compat.v1.truncated_normal_initializer(
          stddev=initializer_range
      )
  
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 numpy
  import six
  import tensorflow
label_desc: Use image node_id 7 for calling a global function with example usage: create_initializer(initializer_range) and returns: tf