code: def testMultiMeshWithResourceOps(self):
      self.skipForDeviceType(
          ["CPU"],
          "Skipping test as only CPU mesh is available for multi-meshtest.",
      )
  
      host_device_id = test_util.create_device_ids_array((1,))
      host_cpu_mesh = Mesh(
          [_MESH_DIM_X],
          host_device_id,
          np.ravel(host_device_id).tolist(),
          test_util.create_device_list((1,), "CPU"),
      )
  
      replicated_layout_on_cpu = Layout.replicated(
          host_cpu_mesh, rank=0
      )
      replicated_layout_on_tpu = Layout.replicated(
          self.second_mesh, rank=1
      )
      a = constant_op.constant(
          [1, 2, 3, 4], dtype=dtypes.int64
      )  # NOTE(b/274627284): Variable of int32 type on GPU doesn't work.
  
      def func(t):
          t = math_ops.cast(t, dtypes.float32)
          t = math_ops.reduce_sum(t)
          return math_ops.sqrt(t)
  
      golden_result = func(a)
  
      @polymorphic_function.function
      def cpu_func(t):
          return math_ops.sqrt(t)
  
      @polymorphic_function.function
      def tpu_func(t):
          t = math_ops.cast(t, dtypes.float32)
          t = math_ops.reduce_sum(t)
          cpu_tensor = api.copy_to_mesh(t, replicated_layout_on_cpu)
          return cpu_func(cpu_tensor)
  
      with ops.device_v2(api.device_name()):
          v = api.copy_to_mesh(a, replicated_layout_on_tpu)
          w = d_variable.DVariable(v)
          output = tpu_func(w)
  
      self.assertDTensorEqual(
          golden_result, replicated_layout_on_cpu, output
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import accelerator_util
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import config
  from tensorflow.dtensor.python import d_variable
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  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 ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 17 for calling the MultiMeshTest obj's underlying member method code with example usage: obj.testMultiMeshWithResourceOps() and returns: math_ops, math_ops, cpu_func