code: def test_creating_variable(self):
      # This test simulates the case when a worker fails before or during creating
      # a variable. Creating variables involve broadcasting the initial value from
      # the first replica to all replicas.
  
      def worker_fn():
          strategy = (
              tf.distribute.experimental.MultiWorkerMirroredStrategy()
          )
          with strategy.scope():
              tf.Variable(1.0)
              # worker-1 dies here.
              if strategy.cluster_resolver.task_id == 1:
                  quick_exit(1)
              v = tf.Variable(tf.random.uniform(()))
              return v.read_value().numpy()
  
      cluster_spec = multi_worker_test_base.create_cluster_spec(
          num_workers=2
      )
      mpr = multi_process_runner.MultiProcessRunner(
          worker_fn, cluster_spec, rpc_layer=RPC_PROTOCOL
      )
      mpr.start()
      # TODO(b/151232436): Always raise UnavailableError when a peer fails.
      with self.assertRaises(
          (tf.errors.UnavailableError, tf.errors.DeadlineExceededError)
      ):
          mpr.join(timeout=60)
  
file_path: tensorflow/tensorflow/python/distribute/integration_test/mwms_peer_failure_test.py
imports: import os
  import tensorflow
  from tensorflow.python.distribute import collective_all_reduce_strategy
  from tensorflow.python.distribute import multi_process_runner
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import test_util
  from tensorflow.python.eager import test
label_desc: Use image node_id 1 for calling the PeerFailureTest obj's underlying member method code with example usage: obj.test_creating_variable() and returns: v