code: def load_state_dict(
      self,
      state_dict: tensor_dict_type,
      strict: bool = True,
  ) -> None:
      with torch.no_grad():
          for key, value in self.named_parameters():  # type: ignore
              if value.requires_grad:
                  loaded_value = state_dict.get(key)
                  if strict and loaded_value is None:
                      raise ValueError(f"value for '{key}' is missing")
                  value.data.copy_(loaded_value)
  
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 2 for calling the DropNoGradStatesMixin obj's underlying member method code with example usage: obj.load_state_dict(state_dict, strict) without return types