code: def test_gather_non_dtensor_value(self):
      strategy = mwms.MultiWorkerMirroredStrategy()
      tensor_input = constant_op.constant(3.0)
  
      result = strategy.gather(tensor_input, axis=0)
      self.assertAllClose(result, tensor_input)
  
imports: import json
  import os
  from absl import flags
  from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import d_variable
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python.tests import multi_client_test_util
  from tensorflow.dtensor.python.tests import test_backend_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import reduce_util
  from tensorflow.python.distribute.cluster_resolver import tfconfig_cluster_resolver
  from tensorflow.python.distribute.experimental import dtensor_util
  from tensorflow.python.distribute.experimental import multi_worker_mirrored_strategy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 18 for calling the MultiWorkerMirroredStrategyTest obj's underlying member method code with example usage: obj.test_gather_non_dtensor_value() without return types