code: def setUp(self):
      super().setUp()
      global_ids = test_util.create_device_ids_array((2,))
      local_ids = np.ravel(global_ids).tolist()
      mesh_dict = {
          device: layout.Mesh(
              ["batch"],
              global_ids,
              local_ids,
              test_util.create_device_list((2,), device),
          )
          for device in ["TPU", "GPU", "CPU"]
      }
      self.mesh = self.configTestMesh(mesh_dict)
  
      tensor_1 = constant_op.constant([1.0])
      tensor_2 = constant_op.constant([2.0])
      self.batch_layout = layout.Layout.batch_sharded(
          self.mesh, batch_dim="batch", rank=1
      )
      self.dtensor = d_api.pack([tensor_1, tensor_2], self.batch_layout)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.distribute import reduce_util
  from tensorflow.python.distribute import values
  from tensorflow.python.distribute.experimental import dtensor_util
  from tensorflow.python.distribute.experimental import mirrored_strategy
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
label_desc: Use image node_id 1 for calling the DTensorDistributedValueTest obj's underlying member method code with example usage: obj.setUp() without return types