code: def on_exception(self, state: State, exc: BaseException) -> None:
      pass
  
imports: import logging
  from abc import ABC, abstractmethod
  from typing import Any, cast, Dict, Generic, Iterator, TypeVar, Union
  import torch
  from torchtnt.framework._loop_utils import _step_requires_iterator
  from torchtnt.framework._unit_utils import _find_optimizers_for_module
  from torchtnt.framework.state import State
  from torchtnt.utils.lr_scheduler import TLRScheduler
  from torchtnt.utils.prepare_module import _is_fsdp_module, FSDPOptimizerWrapper
  from torchtnt.utils.progress import Progress
  from torchtnt.utils.stateful import Stateful
label_desc: Use image node_id 1 for calling the _OnExceptionMixin obj's underlying member method code with example usage: obj.on_exception(state, exc) without return types