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: import copy
  import json
  import math
  import numpy
  import tensorflow
  import functools
  from transformers.activations_tf import gelu
  from finetune.optimizers.recompute_grads import recompute_grad
  from finetune.nn.auxiliary import embed_position
label_desc: Use image node_id 6 for calling a global function with example usage: create_initializer(initializer_range) and returns: tf