code: def _create_model_and_run_indefinitely(self):
      model = Model(self.cluster_coord)
      model.do_infinite_step.assign(True)
      model.schedule_training_functions(10)
      # Model does infinite training step, so at this moment, we expect to have
      # `self.num_workers` infinite closures inflight, and `10-self.num_workers`
      # closures in the queue.
      while (
          self.cluster_coord._cluster.closure_queue._inflight_closure_count
          < self.num_workers
      ):
          time.sleep(0.1)
      return model
  
imports: import gc
  import os
  import sys
  import threading
  import time
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import parameter_server_strategy_v2
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute.cluster_resolver.cluster_resolver import SimpleClusterResolver
  from tensorflow.python.distribute.coordinator import cluster_coordinator
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.training import coordinator
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 6 for calling the BaseFaultToleranceTest obj's underlying member method code with example usage: obj._create_model_and_run_indefinitely() and returns: model