code: def retie_parameters(model, tied_params):
      """
      Reties tied parameters in a given model if the link was broken (for instance when adding hooks).
  
      Args:
          model (`torch.nn.Module`):
              The model in which to retie parameters.
          tied_params (`List[List[str]]`):
              A mapping parameter name to tied parameter name as obtained by `find_tied_parameters`.
      """
      for tied_group in tied_params:
          param_to_tie = None
          # two loops : the first one to set param_to_tie , the second one to change the values of tied_group
          for param_name in tied_group:
              module = model
              splits = param_name.split(".")
              for split in splits[:-1]:
                  module = getattr(module, split)
              param = getattr(module, splits[-1])
              if param_to_tie is None and param.device != torch.device(
                  "meta"
              ):
                  param_to_tie = param
                  break
          if param_to_tie is not None:
              for param_name in tied_group:
                  module = model
                  splits = param_name.split(".")
                  for split in splits[:-1]:
                      module = getattr(module, split)
                  setattr(module, splits[-1], param_to_tie)
  
imports: import contextlib
  import gc
  import inspect
  import json
  import logging
  import os
  import re
  import shutil
  import tempfile
  from collections import OrderedDict, defaultdict
  from typing import Dict, List, Optional, Tuple, Union
  import torch
  import torch.nn
  from ..state import AcceleratorState
  from .constants import SAFE_WEIGHTS_NAME, WEIGHTS_NAME
  from .dataclasses import AutocastKwargs, CustomDtype, DistributedType
  from .imports import is_mps_available, is_npu_available, is_xpu_available
  from .offload import load_offloaded_weight, offload_weight, save_offload_index
  from .tqdm import is_tqdm_available, tqdm
  from safetensors import safe_open
  from safetensors.torch import load_file
label_desc: Use image node_id 13 for calling a global function with example usage: retie_parameters(model, tied_params) without return types