code: def stop():
      """Stop current profiling session and return its result.
  
      Returns:
        A binary string of tensorflow.tpu.Trace. User can write the string
        to file for offline analysis by tensorboard.
  
      Raises:
        ProfilerNotRunningError: If there is no active profiling session.
      """
      global _profiler
      global _run_num
      with _profiler_lock:
          if _profiler is None:
              raise ProfilerNotRunningError(
                  "Cannot stop profiling. No profiler is running."
              )
          if context.default_execution_mode == context.EAGER_MODE:
              context.context().executor.wait()
          result = _profiler.stop()
          _profiler = None
          _run_num += 1
      return result
  
imports: import datetime
  import os
  import threading
  from tensorflow.python.client import _pywrap_events_writer
  from tensorflow.python.eager import context
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.profiler.internal import _pywrap_profiler
  from tensorflow.python.util import compat
  from tensorflow.python.util.deprecation import deprecated
label_desc: Use image node_id 2 for calling a global function with example usage: stop() and returns: result