code: def testRemote(self):
      gpus = config.list_logical_devices("GPU")
      self.assertNotEqual(len(gpus), 0)
  
      context.ensure_initialized()
  
      gpus = config.list_logical_devices("GPU")
      self.assertNotEqual(len(gpus), 0)
      for gpu in gpus:
          self.assertIsNotNone(gpu.name)
  
      context.ensure_initialized()
  
      job_name = "test"
      cluster_def = cluster_pb2.ClusterDef()
      job_def = cluster_def.job.add()
      job_def.name = job_name
      job_def.tasks[0] = "localhost:0"
  
      server_def = tensorflow_server_pb2.ServerDef(
          cluster=cluster_def,
          job_name=job_name,
          task_index=0,
          protocol="grpc",
      )
  
      context.set_server_def(server_def)
  
      gpus = config.list_logical_devices("GPU")
      for gpu in gpus:
          self.assertIsNotNone(gpu.name)
  
imports: from absl.testing import parameterized
  from tensorflow.core.protobuf import cluster_pb2
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.core.protobuf import tensorflow_server_pb2
  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 test_ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 20 for calling the DeviceTest obj's underlying member method code with example usage: obj.testRemote() without return types