code: def save_from_party(obj, f, src=0, save_closure=torch.save, **kwargs):
      """
      Saves a CrypTensor or PyTorch tensor 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
          src: The source party that writes data to the specified file.
          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_from_party`. Additional kwargs are passed on to the closure.
      """
      if is_encrypted_tensor(obj):
          raise NotImplementedError(
              "Saving encrypted tensors is not yet supported"
          )
      else:
          assert isinstance(
              src, int
          ), "Save failed: src must be an integer"
          assert (
              src >= 0 and src < comm.get().get_world_size()
          ), "Save failed: src must be an integer in [0, world_size)"
  
          if comm.get().get_rank() == src:
              save_closure(obj, f, **kwargs)
  
      # Implement barrier to avoid race conditions that require file to exist
      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 18 for calling a global function with example usage: save_from_party(obj, f, src, save_closure) without return types