code: def test_multi_device_resource(self):
      elements = np.random.randint(100, size=[200])
  
      with ops.device("/device:CPU:1"):
          queue = data_flow_ops.FIFOQueue(200, dtypes.int64, shapes=[])
  
      @eager_def_function.function()
      def populate_queue():
          queue.enqueue_many(elements)
          queue.close()
  
      with ops.device("/device:CPU:0"):
          port = portpicker.pick_unused_port()
          address = "localhost:{}".format(port)
          server = rpc_ops.GrpcServer(address)
          server.register("populate_queue", populate_queue)
          server.start()
  
          client = rpc_ops.GrpcClient(
              address, list_registered_methods=True
          )
          client.populate_queue()
  
      for e in elements:
          self.assertAllEqual(e, queue.dequeue())
  
imports: import threading
  import time
  import numpy
  import portpicker
  from tensorflow.python.distribute.experimental.rpc import rpc_ops
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
label_desc: Use image node_id 18 for calling the RpcOpsTest obj's underlying member method code with example usage: obj.test_multi_device_resource() without return types