code: def set_classy_state(self, state, strict=True):
      version = state.get("version")
      if version is None:
          # convert the weights from the previous implementation of ResNeXt to the
          # current one
          if not self._convert_model_state(state):
              raise RuntimeError("ResNeXt state conversion failed")
          message = (
              "Provided state dict is from an old implementation of ResNeXt. "
              "This has been deprecated and will be removed soon."
          )
          warnings.warn(message, DeprecationWarning, stacklevel=2)
      elif version != VERSION:
          raise ValueError(
              f"Unsupported ResNeXt version: {version}. Expected: {VERSION}"
          )
      super().set_classy_state(state, strict)
  
imports: import copy
  import math
  import re
  import warnings
  from collections import OrderedDict
  from typing import Any, Dict, Optional, Sequence
  import torch.nn
  from classy_vision.generic.util import is_pos_int, is_pos_int_tuple
  from .None import register_model
  from .classy_model import ClassyModel
  from .squeeze_and_excitation_layer import SqueezeAndExcitationLayer
label_desc: Use image node_id 9 for calling the ResNeXt obj's underlying member method code with example usage: obj.set_classy_state(state, strict) without return types