code: def fuse_conv_bn_relu(
      wrapper, fused_modules, params_dict, *args, **kwargs
  ):
      assert len(fused_modules) == 3 and isinstance(
          fused_modules[2], torch.nn.ReLU
      )
      # firstly, fuse conv and bn
      params_dict, _ = fuse_conv_bn(
          wrapper, fused_modules, params_dict, *args, **kwargs
      )
  
      return params_dict, [fused_modules[2]]
  
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 11 for calling a global function with example usage: fuse_conv_bn_relu(wrapper, fused_modules, params_dict) and returns: params_dict,  list