code: def testImplicitCopyToCPUMeshForStrings(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.replicated(
          host_cpu_mesh, rank=0
      )
      replicated_layout_on_tpu = Layout.replicated(
          self.second_mesh, rank=0
      )
  
      string_tensor = constant_op.constant("hello")
  
      @polymorphic_function.function
      def f(tensor, dtensor_a, dtensor_b):
          # Return an identity op for all three inputs so that linter does not
          # complain about unused variables.
          return tensor, dtensor_a, dtensor_b
  
      cpu_dtensor = api.copy_to_mesh(
          constant_op.constant(1), replicated_layout_on_cpu
      )
      tpu_dtensor = api.copy_to_mesh(
          constant_op.constant(1), replicated_layout_on_tpu
      )
  
      string_dtensor, _, _ = f(string_tensor, cpu_dtensor, tpu_dtensor)
  
      # Regular string tensor should be implicitly copied onto the CPU mesh,
      # not the TPU mesh.
      self.assertEqual(
          api.fetch_layout(string_dtensor), replicated_layout_on_cpu
      )
  
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 6 for calling the MultiMeshTest obj's underlying member method code with example usage: obj.testImplicitCopyToCPUMeshForStrings() and returns: tensor,  dtensor_a,  dtensor_b