code: def test_reduce_sum_non_dtensor_value(self):
      strategy = mwms.MultiWorkerMirroredStrategy()
      tensor_input = constant_op.constant(
          [[3.0, 4.0], [5.0, 6.0], [7.0, 8.0]]
      )
  
      with self.assertRaisesRegex(
          ValueError, "Unsupported input types for MirroredStrategy."
      ):
          strategy.reduce(
              reduce_util.ReduceOp.SUM, tensor_input, axis=0
          )
  
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 21 for calling the MultiWorkerMirroredStrategyTest obj's underlying member method code with example usage: obj.test_reduce_sum_non_dtensor_value() without return types