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)
      Communicator.get().barrier()
  
imports: import builtins
  import copy
  import logging
  import os
  import typing
  import torch
  from .None import nn
  from .None import primitives, provider
  from .communicator import Communicator
  from .config import cfg
  from .cryptensor import CrypTensor
  from .mpc import MPCTensor
  from .ptype import ptype
label_desc: Use image node_id 9 for calling a global function with example usage: save(obj, f, save_closure) without return types