code: def update_classy_model(
      model,
      model_state_dict: Dict,
      reset_heads: bool,
      strict: bool = True,
  ) -> bool:
      """
      Updates the model with the provided model state dictionary.
  
      Args:
          model: ClassyVisionModel instance to update
          model_state_dict: State dict, should be the output of a call to
              ClassyVisionModel.get_classy_state().
          reset_heads: if False, uses the heads' state from model_state_dict.
          strict: if True, strictly match the module/buffer keys in current model and
              pass-in model_state_dict
      """
      try:
          if reset_heads:
              current_model_state_dict = model.get_classy_state()
              # replace the checkpointed head states with source head states
              model_state_dict["model"][
                  "heads"
              ] = current_model_state_dict["model"]["heads"]
          model.set_classy_state(model_state_dict, strict=strict)
          logging.info("Model state load successful")
          return True
      except Exception:
          logging.exception("Could not load the model state")
      return False
  
imports: import collections.abc
  import contextlib
  import json
  import logging
  import os
  import time
  from functools import partial
  from typing import Any, Dict, List, Optional, Tuple, Union
  import numpy
  import torch
  import torch.nn
  from classy_vision.generic.distributed_util import broadcast_object, is_primary
  from fvcore.common.file_io import PathManager
label_desc: Use image node_id 18 for calling a global function with example usage: update_classy_model(model, model_state_dict, reset_heads, strict) and returns: False, True