code: def rebuild_iterators(self, use_dataset_fn=True):
      if use_dataset_fn:
  
          def dataset_fn():
              data = random_ops.random_uniform((10, 10))
              dataset = dataset_ops.DatasetV2.from_tensors(
                  [data]
              ).repeat()
              return dataset
  
          def distribute_dataset_fn():
              return self.cluster_coord.strategy.distribute_datasets_from_function(
                  lambda _: dataset_fn()
              )
  
          self.iterator = iter(
              self.cluster_coord.create_per_worker_dataset(
                  distribute_dataset_fn
              )
          )
          self.iterator2 = iter(
              self.cluster_coord.create_per_worker_dataset(
                  distribute_dataset_fn
              )
          )
      else:
          data = random_ops.random_uniform((10, 10))
          dataset = dataset_ops.DatasetV2.from_tensors([data]).repeat()
  
          self.iterator = iter(
              self.cluster_coord.create_per_worker_dataset(dataset)
          )
          self.iterator2 = iter(
              self.cluster_coord.create_per_worker_dataset(dataset)
          )
  
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 3 for calling the Model obj's underlying member method code with example usage: obj.rebuild_iterators(use_dataset_fn) and returns: dataset, self