docstr: Return the optimizer's state dict.
docstr_tok: ["Return","the","optimizer","'s","state","dict","."]
code: def state_dict(self):
      """Return the optimizer's state dict."""
      state_dict = self.fp32_optimizer.state_dict()
      if self.scaler is not None:
          state_dict["loss_scale"] = self.scaler.loss_scale
      return state_dict
  
imports: from collections import defaultdict
  from itertools import chain
  import torch
  from omegaconf import DictConfig
  from fairseq import optim
  from .dynamic_loss_scaler import DynamicLossScaler
label_desc: Use image node_id 4 for calling the _FP16OptimizerMixin obj's underlying member method code with example usage: obj.state_dict() and returns: state_dict