code: def testMultiMeshCPUTest(self):
      device_ids = test_util.create_device_ids_array((2,))
      cpu_mesh_a = Mesh(
          ["x"],
          device_ids,
          np.ravel(device_ids).tolist(),
          test_util.create_device_list((2,), "CPU"),
      )
      cpu_mesh_b = Mesh(
          ["y"],
          device_ids,
          np.ravel(device_ids).tolist(),
          test_util.create_device_list((2,), "CPU"),
      )
      replicated_layout_on_a = Layout.replicated(cpu_mesh_a, rank=1)
      replicated_layout_on_b = Layout.replicated(cpu_mesh_b, rank=1)
  
      x = constant_op.constant([1, 2, 3, 4], dtype=dtypes.int32)
      y = constant_op.constant([1, 2, 3, 4], dtype=dtypes.int32)
  
      a = api.copy_to_mesh(x, replicated_layout_on_a)
      b = api.copy_to_mesh(y, replicated_layout_on_b)
  
      @polymorphic_function.function
      def func2(t1, t2):
          t1 = math_ops.cast(t1, dtypes.float32)
          t1 = t1 * t1
  
          t2 = math_ops.cast(t2, dtypes.float32)
          t2 = math_ops.sqrt(t2)
          return t1, t2
  
      with ops.device_v2(api.device_name()):
          output1, output2 = func2(a, b)
  
      api.check_layout(output1, replicated_layout_on_a)
      api.check_layout(output2, replicated_layout_on_b)
  
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 15 for calling the MultiMeshTest obj's underlying member method code with example usage: obj.testMultiMeshCPUTest() and returns: t1,  t2