code: def clone_module(module: nn.Module) -> nn.Module:
      """
      Handy utility to clone an nn.Module. PyTorch doesn't always support copy.deepcopy(), so it is
      just easier to serialize the model to a BytesIO and read it from there.
  
      Args:
          module: The module to clone
  
      Returns:
          The clone of ``module``
      """
      with io.BytesIO() as bytesio:
          torch.save(module, bytesio)
          bytesio.seek(0)
          module_copy = torch.load(bytesio)
      next_param = next(
          module.parameters(), None
      )  # Eg, InstanceNorm with affine=False has no params
      return (
          module_copy.to(next_param.device)
          if next_param is not None
          else module_copy
      )
  
file_path: opacus/opacus/utils/module_utils.py
imports: import io
  import logging
  import sys
  from typing import Dict, Iterable, List, Tuple
  import torch
  import torch.nn
label_desc: Use image node_id 6 for calling a global function with example usage: clone_module(module) and returns: unknown