code: def testDistributeTableSaveAndServe(self, source):
      strategy = parameter_server_strategy_v2.ParameterServerStrategyV2(
          self.cluster_resolver
      )
      file_path = os.path.join(
          self.get_temp_dir(), "text_file_initializer"
      )
      with strategy.scope():
          model = self.Model(source, file_path)
  
      model_dir = self.get_temp_dir()
      tf_save.save(model, model_dir)
  
      loaded_without_strategy = tf_load.load(model_dir)
      loaded_func_captures_without_strategy = (
          loaded_without_strategy.use_table.get_concrete_function().graph.external_captures
      )
      loaded_func_deferred_captures_without_strategy = (
          loaded_without_strategy.use_table.get_concrete_function().graph.deferred_external_captures
      )
      self.assertLen(loaded_func_captures_without_strategy, 2)
      self.assertEmpty(loaded_func_deferred_captures_without_strategy)
  
      self.assertAllEqual(
          loaded_without_strategy.use_table(
              constant_op.constant([0, 1, 3], dtype=dtypes.int64)
          ),
          [0, 1, -2],
      )
  
imports: import copy
  import os
  from absl.testing import parameterized
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import device_util
  from tensorflow.python.distribute import multi_process_runner
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import parameter_server_strategy_v2
  from tensorflow.python.distribute import ps_values
  from tensorflow.python.distribute.coordinator import cluster_coordinator
  from tensorflow.python.distribute.coordinator import coordinator_context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.module import module
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.saved_model import load
  from tensorflow.python.saved_model import save
label_desc: Use image node_id 17 for calling the DistributedTableTest obj's underlying member method code with example usage: obj.testDistributeTableSaveAndServe(source) without return types