class_docstr: Holds a collection of stateful objects.
class_docstr_tok: ["Holds","a","collection","of","stateful","objects","."]
code: def state_dict(self) -> Dict[str, Any]:
      state_dict = {}
  
      state: Any
  
      for name, (
          stateful,
          state_handler,
      ) in self.stateful_objects.items():
          if state_handler is not None:
              state = state_handler.extract_state(stateful)
          elif isinstance(stateful, Stateful):
              state = stateful.state_dict()
          else:
              state = stateful
  
          state_dict[name] = state
  
      return state_dict
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Any, Dict, Mapping, Optional, Protocol, Tuple, final, runtime_checkable
  from torch.distributed.fsdp import FullyShardedDataParallel
  from torch.nn import Module
  from torch.optim import Optimizer
  from fairseq2.typing import finaloverride
label_desc: Use image node_id 7 for calling the StatefulObjectBag obj's underlying member method code with example usage: obj.state_dict() and returns: state_dict