code: def set_optimizer_state_dict(
      model: nn.Module,
      optimizers: Union[
          torch.optim.Optimizer, Iterable[torch.optim.Optimizer]
      ],
      *,
      optim_state_dict: OptimizerStateType,
      options: Optional[StateDictOptions] = None,
  ) -> None:
      """Load the optimizers state_dict.
  
      The counterpart of ``get_optimizer_state_dict`` to set the state_dict to the
      optimizers. See ``set_state_dict`` for the detail usage.
  
      Args:
          model (nn.Module): the nn.Module to the model.
          optimizers (Union[Optimizer, Iterable[Optimizer]]):
              The optimizers that are used to optimize ``model``.
          optim_state_dict: OptimizerStateType:
              the optimizer state_dict to load.
          options (StateDictOptions): the options to control how
              model state_dict and optimizer state_dict should be loaded. See
              `StateDictOptions` for the details.
  
      Returns:
          None
      """
      with gc_context():
          optimizers = (
              (optimizers,)
              if isinstance(optimizers, torch.optim.Optimizer)
              else tuple(optimizers)
          )
          info = _verify_options(
              model, optimizers, optim_only=True, options=options
          )
  
          _verify_state_dict({}, optim_state_dict, info)
          _load_optim_state_dict(
              model, optimizers, optim_state_dict, info
          )
  
imports: import contextlib
  import functools
  import gc
  from dataclasses import asdict, dataclass, field
  from itertools import chain
  from typing import Any, Callable, cast, Dict, Iterable, List, no_type_check, Optional, Set, Tuple, Union
  import torch
  import torch.distributed
  import torch.nn
  from torch.distributed._shard.sharded_tensor import ShardedTensor
  from torch.distributed._state_dict_utils import _gather_state_dict, _offload_state_dict_to_cpu
  from torch.distributed._tensor import DTensor
  from torch.distributed.fsdp import FullOptimStateDictConfig, FullStateDictConfig, FullyShardedDataParallel, OptimStateDictConfig, ShardedOptimStateDictConfig, ShardedStateDictConfig, StateDictConfig, StateDictType
  from torch.distributed.fsdp._common_utils import _get_module_fsdp_state_if_fully_sharded_module, FSDP_WRAPPED_MODULE
  from torch.nn.modules.module import _IncompatibleKeys
  from torch.nn.parallel import DistributedDataParallel
label_desc: Use image node_id 17 for calling a global function with example usage: set_optimizer_state_dict(model, optimizers) without return types