code: def set_number_of_towers(generator_name, number_of_towers):
      """Saves the number of towers a generator has in the checkpoint as a tensor.
  
      Args:
        generator_name: string - the name of the generator.
        number_of_towers: int - the number of towers the generator created.
      """
      tf.compat.v1.get_variable(
          name=NUMBER_OF_TOWERS + "/{}".format(generator_name),
          shape=[],
          trainable=False,
          initializer=tf.compat.v1.constant_initializer(
              number_of_towers
          ),
          dtype=tf.int32,
      )
  
imports: import collections
  import os
  import string
  import time
  from absl import flags
  from absl import logging
  from model_search import block
  from model_search import block_builder
  from model_search import hparam
  from model_search import utils
  from model_search.proto import hparam_pb2
  from model_search.proto import phoenix_spec_pb2
  from model_search.proto import transfer_learning_spec_pb2
  import numpy
  import tensorflow.compat.v2
  import tf_slim
  from google.protobuf import text_format
label_desc: Use image node_id 9 for calling a global function with example usage: set_number_of_towers(generator_name, number_of_towers) without return types