code: def _load_average_model_state(self, model_state: Any) -> None:
      if self._average_model is None:
          return
      self._average_model.load_state_dict(model_state)
  
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 18 for calling the StochasticWeightAveraging obj's underlying member method code with example usage: obj._load_average_model_state(model_state) without return types