code: def state_dict(self) -> Dict[str, Any]:
      return {
          "n_averaged": 0
          if self.n_averaged is None
          else self.n_averaged.item(),
          "latest_update_epoch": self._latest_update_epoch,
          "scheduler_state": None
          if self._swa_scheduler is None
          else self._swa_scheduler.state_dict(),
          "average_model_state": None
          if self._average_model is None
          else self._average_model.state_dict(),
      }
  
imports: from copy import deepcopy
  from typing import Any, Callable, Dict, List, Optional, Union, cast
  import torch
  from torch import Tensor, nn
  from torch.optim.swa_utils import SWALR
  from typing_extensions import override
  import lightning.pytorch
  from lightning.fabric.utilities.types import LRScheduler
  from lightning.pytorch.callbacks.callback import Callback
  from lightning.pytorch.strategies import DeepSpeedStrategy
  from lightning.pytorch.strategies.fsdp import FSDPStrategy
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.rank_zero import rank_zero_info, rank_zero_warn
  from lightning.pytorch.utilities.types import LRSchedulerConfig
label_desc: Use image node_id 15 for calling the StochasticWeightAveraging obj's underlying member method code with example usage: obj.state_dict() and returns: dict