code: def create_initializer(initializer_range=0.001):
      """Creates a `truncated_normal_initializer` with the given range."""
      return tf.compat.v1.truncated_normal_initializer(
          stddev=initializer_range
      )
  
imports: import functools
  import numpy
  import tensorflow
  from finetune.optimizers.recompute_grads import recompute_grad
  from finetune.util.shapes import shape_list, lengths_from_eos_idx
  from finetune.nn.activations import act_fns
  from finetune.nn.nn_utils import dropout, norm
label_desc: Use image node_id 13 for calling a global function with example usage: create_initializer(initializer_range) and returns: tf