code: def state_dict(
      self,
      *,
      destination: Any = None,
      prefix: str = "",
      keep_vars: bool = False,
  ) -> tensor_dict_type:
      states = super().state_dict(destination=destination, prefix=prefix, keep_vars=keep_vars)  # type: ignore
      for key, _ in self.named_buffers():  # type: ignore
          if states.pop(key, None) is None:
              states.pop(f"core.{key}")
      for key, value in self.named_parameters():  # type: ignore
          if not value.requires_grad:
              if states.pop(key, None) is None:
                  states.pop(f"core.{key}")
      return states
  
file_path: carefree-learn/cflearn/misc/mixins.py
imports: import torch
  from torch import nn
  from typing import Any
  from typing import Callable
  from typing import Iterator
  from cftool.types import tensor_dict_type
label_desc: Use image node_id 1 for calling the DropNoGradStatesMixin obj's underlying member method code with example usage: obj.state_dict() and returns: states