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)
      return module_copy
  
imports: import io
  from typing import Callable, Dict, Iterable, List, Union
  import numpy
  import torch
  import torch.nn
  from opacus.grad_sample import wrap_model
  from opacus.utils.module_utils import trainable_parameters
  from opacus.utils.packed_sequences import compute_seq_lengths
  from torch.nn.utils.rnn import PackedSequence, pad_packed_sequence
label_desc: Use image node_id 1 for calling a global function with example usage: clone_module(module) and returns: module_copy