code: def setUp(self):
      super().setUp()
      self._num_devices = (
          MESH_SIZE_BATCH * MESH_SIZE_HEIGHT * MESH_SIZE_WIDTH
      )
      self.mesh = mesh_util.create_mesh(
          devices=["CPU:%d" % i for i in range(self._num_devices)],
          mesh_dims=[
              (MESH_DIM_BATCH, MESH_SIZE_BATCH),
              (MESH_DIM_HEIGHT, MESH_SIZE_HEIGHT),
              (MESH_DIM_WIDTH, MESH_SIZE_WIDTH),
          ],
      )
  
      self.mesh = self.configTestMesh({"CPU": self.mesh})
  
      self.images = self._images([8, 8, 3])
      self.labels = self._labels([1])
  
imports: import contextlib
  import threading
  from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import input_util
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python import mesh_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  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 1 for calling the DTensorDatasetTest obj's underlying member method code with example usage: obj.setUp() without return types