code: def _refresh_per_optimizer_state() -> Dict[str, Any]:
      return {"stage": OptState.READY, "found_inf_per_device": {}}
  
imports: import logging
  from collections import abc, defaultdict
  from typing import Any, Dict, Iterable, List, Optional, overload, Sequence, Tuple, Union
  import torch
  import torch.distributed
  from torch.cuda.amp.grad_scaler import _MultiDeviceReplicator, GradScaler, OptState
  from torch.distributed.distributed_c10d import ProcessGroup
label_desc: Use image node_id 1 for calling a global function with example usage: _refresh_per_optimizer_state() and returns: dict