code: def add_profiler_step(options_str=None):
      """
      Enable the operator-level timing using PaddlePaddle's profiler.
      The profiler uses a independent variable to count the profiler steps.
      One call of this function is treated as a profiler step.
  
      Args:
        profiler_options - a string to initialize the ProfilerOptions.
                           Default is None, and the profiler is disabled.
      """
      if options_str is None:
          return
  
      global _profiler_step_id
      global _profiler_options
  
      if _profiler_options is None:
          _profiler_options = ProfilerOptions(options_str)
  
      if _profiler_step_id == _profiler_options["batch_range"][0]:
          paddle.utils.profiler.start_profiler(
              _profiler_options["state"],
              _profiler_options["tracer_option"],
          )
      elif _profiler_step_id == _profiler_options["batch_range"][1]:
          paddle.utils.profiler.stop_profiler(
              _profiler_options["sorted_key"],
              _profiler_options["profile_path"],
          )
          if _profiler_options["exit_on_finished"]:
              sys.exit(0)
  
      _profiler_step_id += 1
  
file_path: PaddleSeg/contrib/MedicalSeg/medicalseg/utils/train_profiler.py
imports: import sys
  import paddle
label_desc: Use image node_id 1 for calling a global function with example usage: add_profiler_step(options_str) without return types