code: def _run(self, func, num_iters, execution_mode=None):
      func()
      start = time.time()
      for _ in range(num_iters):
          func()
      end = time.time()
      mean_us = (end - start) * 1e6 / num_iters
      self.report_benchmark(
          iters=num_iters,
          wall_time=mean_us,
          extras={"examples_per_sec": num_iters / (end - start)},
      )
  
imports: import os
  import time
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.framework import ops
  from tensorflow.python.module import module
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_io_ops
  from tensorflow.python.platform import test
  from tensorflow.python.trackable import base
  from tensorflow.python.training import py_checkpoint_reader
label_desc: Use image node_id 1 for calling the SavingBenchmarks obj's underlying member method code with example usage: obj._run(func, num_iters, execution_mode) without return types