code: def testVariableInitializationWithChangingShape(self, mode):
      def worker_step_fn(worker_id, num_dims):
          strategy = (
              collective_all_reduce_strategy.CollectiveAllReduceStrategy()
          )
          # Make sure the processeses are in sync after updating the cluster
          multi_process_runner.get_barrier().wait()
          tensor_shape = [2] * num_dims
  
          def variable_fn():
              with ops.device(self._local_device):
                  # The initial value will be broadcasted from worker 0 to others.
                  initial_value = (
                      array_ops.ones(tensor_shape)
                      if worker_id == 0
                      else array_ops.zeros(tensor_shape)
                  )
                  var = variable_scope.get_variable(
                      name="x", initializer=initial_value
                  )
                  return array_ops.identity(var)
  
          t_out = strategy.extended.call_for_each_replica(variable_fn)
          expected_out = np.ones(tensor_shape)
          self.assertAllClose(t_out, expected_out)
  
      def worker_fn():
          self._maybe_setup_gpus()
          tf_config = json.loads(os.environ["TF_CONFIG"])
          worker_id = tf_config["task"]["index"]
          for i in range(20):
              worker_step_fn(worker_id, num_dims=(i + 1))
  
      with test_util.skip_if_error(self, errors_impl.UnavailableError):
          multi_process_runner.run(
              worker_fn,
              cluster_spec=test_base.create_cluster_spec(
                  num_workers=NUM_WORKERS
              ),
          )
  
imports: import json
  import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.distribute import collective_all_reduce_strategy
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import multi_process_runner
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import reduce_util
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import config
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variable_scope
label_desc: Use image node_id 4 for calling the MultiWorkerContinuousRunTest obj's underlying member method code with example usage: obj.testVariableInitializationWithChangingShape(mode) and returns: array_ops