code: def testMultiMeshCancellation(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([UNSHARDED], host_cpu_mesh)
      replicated_layout_on_tpu = Layout([UNSHARDED], self.second_mesh)
  
      @polymorphic_function.function
      def cpu_func(x):
          # Integer division by 0, which returns a bad status.
          x = math_ops.cast(gen_math_ops.div(x=x, y=x), dtypes.float32)
          return math_ops.cast(x, dtypes.float32)
  
      @polymorphic_function.function
      def tpu_func(cpu_tensor):
          cpu_result = cpu_func(cpu_tensor)
          tpu_tensor = api.copy_to_mesh(
              cpu_result, replicated_layout_on_tpu
          )
          # A reduction on the TPU mesh which must be cancelled in response to the
          # CPU mesh's failure.
          return math_ops.reduce_sum(tpu_tensor)
  
      cpu_tensor = api.copy_to_mesh(
          constant_op.constant([0, 1]), replicated_layout_on_cpu
      )
  
      with self.assertRaisesRegex(
          Exception, "Integer division by zero"
      ):
          # Ensure any errors are raised at end of scope.
          with context.async_scope():
              with ops.device_v2(api.device_name()):
                  tpu_func(cpu_tensor)
  
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 11 for calling the MultiMeshTest obj's underlying member method code with example usage: obj.testMultiMeshCancellation() and returns: math_ops, math_ops