code: def _refresh_per_optimizer_state() -> OptState:
      return OptState.READY
  
file_path: fairscale/fairscale/experimental/optim/dynamic_loss_scaler.py
imports: from collections import defaultdict
  from enum import Enum
  from typing import Dict, List, Optional
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: _refresh_per_optimizer_state() and returns: OptState