code: def benchmark_create_vars_inside_function(self):
      remote.connect_to_remote_host(self._cached_server_target1)
  
      def func():
          with ops.device("job:worker/replica:0/task:0/device:CPU:0"):
              layer = Foo(50)
  
              @def_function.function
              def remote_func():
                  with ops.device(
                      "job:worker/replica:0/task:0/device:CPU:0"
                  ):
                      return layer(random_ops.random_uniform([]))
  
              return remote_func()
  
      self._run(func, execution_mode=context.ASYNC, num_iters=100)
      # NOTE(b/136184459): Force garbage collecting hanging resources before
      # subsequent calls to set_server_def, to ensure the destroy resource ops are
      # executed when their corresponding device and manager are still available.
      gc.collect()
  
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 5 for calling the RemoteWorkerMicroBenchmarks obj's underlying member method code with example usage: obj.benchmark_create_vars_inside_function() and returns: remote_func, layer