code: def testMultiMeshCPUToCPUTransfer(self):
      send_device_id = test_util.create_device_ids_array((1,))
      send_cpu_mesh = Mesh(
          [_MESH_DIM_X],
          send_device_id,
          np.ravel(send_device_id).tolist(),
          test_util.create_device_list((1,), "CPU"),
      )
      recv_cpu_mesh = Mesh.from_string(
          "|x=1|0|0|/job:localhost/replica:0/task:0/device:CPU:1"
      )
  
      replicated_layout_on_cpu_send = Layout.replicated(
          send_cpu_mesh, rank=1
      )
      replicated_layout_on_cpu_recv = Layout.replicated(
          recv_cpu_mesh, rank=1
      )
      replicated_layout_on_cpu_r0 = Layout.replicated(
          recv_cpu_mesh, rank=0
      )
  
      def func(t):
          t = math_ops.cast(t, dtypes.float32)
          t = math_ops.reduce_sum(t)
          return math_ops.sqrt(t)
  
      @polymorphic_function.function
      def cpu_recv_func(t):
          t = math_ops.reduce_sum(t)
          t = math_ops.sqrt(t)
          return t
  
      @polymorphic_function.function
      def cpu_send_func(t):
          t = math_ops.cast(t, dtypes.float32)
          cpu_recv_tensor = api.copy_to_mesh(
              t, replicated_layout_on_cpu_recv
          )
          t = cpu_recv_func(cpu_recv_tensor)
          return t
  
      a = constant_op.constant([1, 2, 3, 4], dtype=dtypes.int32)
      golden_result = func(a)
      a = api.copy_to_mesh(a, replicated_layout_on_cpu_send)
  
      with ops.device_v2(api.device_name()):
          output = cpu_send_func(a)
          self.assertDTensorEqual(
              golden_result, replicated_layout_on_cpu_r0, 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 14 for calling the MultiMeshTest obj's underlying member method code with example usage: obj.testMultiMeshCPUToCPUTransfer() and returns: math_ops, t, t