code: def save(obj, f, save_closure=torch.save, **kwargs):
      """
      Saves the shares of CrypTensor or an encrypted model to a file.
  
      Args:
          obj: The CrypTensor or PyTorch tensor to be saved
          f: a file-like object (has to implement `read()`, `readline()`,
                `tell()`, and `seek()`), or a string containing a file name
          save_closure: Custom save function that matches the interface of `torch.save`,
          to be used when the tensor is saved with a custom load function in
          `crypten.load`. Additional kwargs are passed on to the closure.
      """
      # TODO: Add support for saving to correct device (kwarg: map_location=device)
      save_closure(obj, f, **kwargs)
      comm.get().barrier()
  
imports: import builtins
  import copy
  import logging
  import os
  import warnings
  import crypten.common
  import crypten.communicator
  import crypten.config
  import crypten.mpc
  import crypten.nn
  import crypten.optim
  import torch
  from .None import debug
  from .config import cfg
  from .cryptensor import CrypTensor
label_desc: Use image node_id 19 for calling a global function with example usage: save(obj, f, save_closure) without return types