code: def fuse_modules(wrapper, params_dict, *args, **kwargs):
      fused_modules = wrapper.fused_modules
      types = tuple(type(module) for module in fused_modules)
  
      fuse_method = _DEFAULT_OP_LIST_TO_FUSER_METHOD.get(types, None)
      if fuse_method is None:
          raise TypeError(
              f"{types} is not supported for model fusion, please register it \
                                    in the _DEFAULT_OP_LIST_TO_FUSER_METHOD"
          )
  
      return fuse_method(
          wrapper, fused_modules, params_dict, *args, **kwargs
      )
  
imports: from typing import Dict, Union, Tuple, Callable, Optional
  from collections.abc import Iterable
  from itertools import repeat
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from .target_space import TargetType
label_desc: Use image node_id 7 for calling a global function with example usage: fuse_modules(wrapper, params_dict) and returns: fuse_method