code: def set_architecture(architecture, tower_name="search_generator_0"):
      """Saves the tower architecture to the checkpoint as a tensor.
  
      Args:
        architecture: np.array of ints - holding the architecture.
        tower_name: string - the tower name we are trying to set the architecutre
          for.
      """
      tf.compat.v1.get_variable(
          name="architectures/{}".format(tower_name),
          shape=[architecture.size],
          trainable=False,
          initializer=tf.compat.v1.constant_initializer(architecture),
          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 6 for calling a global function with example usage: set_architecture(architecture, tower_name) without return types