code: def __init__(self):
      # used for remote benchmarks
      self._cached_server1 = server_lib.Server.create_local_server()
      self._cached_server_target1 = self._cached_server1.target[
          len("grpc://") :
      ]
      self._cached_server2 = server_lib.Server.create_local_server()
      self._cached_server_target2 = self._cached_server2.target[
          len("grpc://") :
      ]
  
imports: import gc
  import time
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import remote
  from tensorflow.python.eager import test
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 1 to create a new RemoteWorkerMicroBenchmarks object from inherited base classes: test with example: obj = RemoteWorkerMicroBenchmarks()