code: def __update_torch_functions(module):
      if hasattr(module, "nn"):
          module.nn = cnn
  
      # TODO: fix replacement in global `torch` module - perhaps use __torch_function__
      if hasattr(module, "torch"):
          module.torch.flatten = lambda x, *args: x.flatten(*args)
          module.torch.transpose = lambda x, *args: x.transpose(*args)
          # module.torch.cat = lambda *args, **kwargs: args[0].cat(*args, **kwargs)
  
      if hasattr(module, "F"):
          module.F = FunctionalReplacement()
  
file_path: CrypTen/crypten/models/__init__.py
imports: import importlib.util
  import logging
  import sys
  import crypten.nn
  import torch
label_desc: Use image node_id 4 for calling a global function with example usage: __update_torch_functions(module) without return types