code: def testMultiMeshCPUToTPUTransfer(self):
      self.skipForDeviceType(
          ["CPU"],
          "Skipping test as only CPU mesh is available for multi-meshtest.",
      )
  
      multiple_host_device_id = test_util.create_device_ids_array((2,))
      host_multi_cpu_mesh = Mesh(
          [_MESH_DIM_X],
          multiple_host_device_id,
          np.ravel(multiple_host_device_id).tolist(),
          test_util.create_device_list((2,), "CPU"),
      )
  
      replicated_layout_on_cpu = Layout.replicated(
          host_multi_cpu_mesh, rank=1
      )
      sharded_layout_on_tpu_r1 = Layout([_MESH_DIM_X], self.second_mesh)
      replicated_layout_on_tpu_r1 = Layout.replicated(
          self.second_mesh, rank=1
      )
  
      a = constant_op.constant([1, 2, 3, 4], dtype=dtypes.int32)
      a = api.copy_to_mesh(a, replicated_layout_on_cpu)
  
      @polymorphic_function.function
      def tpu_func(t):
          return api.relayout(t, sharded_layout_on_tpu_r1)
  
      @polymorphic_function.function
      def cpu_func(t):
          t = math_ops.cast(t, dtypes.float32)
          tpu_tensor = api.copy_to_mesh(t, replicated_layout_on_tpu_r1)
          return tpu_func(tpu_tensor)
  
      with ops.device_v2(api.device_name()):
          output = cpu_func(a)
  
      api.check_layout(output, sharded_layout_on_tpu_r1)
  
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 12 for calling the MultiMeshTest obj's underlying member method code with example usage: obj.testMultiMeshCPUToTPUTransfer() and returns: api, tpu_func