code: def teardown(self, stage: Optional[str]) -> None:
      self._delete_profilers()
  
      for k in list(self._recording_map):
          self.stop(k)
      self._recording_map = {}
  
      super().teardown(stage=stage)
  
imports: import inspect
  import logging
  import os
  from functools import lru_cache, partial
  from pathlib import Path
  from typing import TYPE_CHECKING, Any, Callable, ContextManager, Dict, List, Optional, Type, Union
  import torch
  from torch import Tensor, nn
  from torch.autograd.profiler import EventList, record_function
  from torch.profiler import ProfilerAction, ProfilerActivity, tensorboard_trace_handler
  from torch.utils.hooks import RemovableHandle
  from typing_extensions import override
  from lightning.fabric.accelerators.cuda import is_cuda_available
  from lightning.pytorch.profilers.profiler import Profiler
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.rank_zero import WarningCache, rank_zero_warn
label_desc: Use image node_id 14 for calling the PyTorchProfiler obj's underlying member method code with example usage: obj.teardown(stage) without return types