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 < Communicator.get().get_world_size()
          ), "Save failed: src must be an integer in [0, world_size)"
  
          if Communicator.get().get_rank() == src:
              save_closure(obj, f, **kwargs)
  
      # Implement barrier to avoid race conditions that require file to exist
      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 8 for calling a global function with example usage: save_from_party(obj, f, src, save_closure) without return types