code: def testMultiMeshFunc(self):
      a = constant_op.constant([1, 2, 3, 4], dtype=dtypes.int32)
      with ops.device_v2(api.device_name()):
          first_mesh_a = api.copy_to_mesh(
              a, Layout.replicated(self.first_mesh, rank=1)
          )
      second_mesh_a = api.copy_to_mesh(
          np.ones([4], dtype=np.int32),
          Layout.replicated(self.second_mesh, rank=1),
      )
      with self.assertRaises(errors_impl.UnknownError):
          # fails mesh propagation as it requires all inputs to be on the same
          # mesh.
          # pylint: disable=pointless-statement
          first_mesh_a + second_mesh_a
  
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 9 for calling the MultiMeshTest obj's underlying member method code with example usage: obj.testMultiMeshFunc() without return types