code: def load(f, load_closure=torch.load, **kwargs):
      """
      Loads shares from an encrypted object saved with `crypten.save()`
      Args:
          f: a file-like object (has to implement `read()`, `readline()`,
                `tell()`, and `seek()`), or a string containing a file name
          load_closure: Custom load function that matches the interface of
          `torch.load`, to be used when the tensor is saved with a custom
          save function in `crypten.save`. Additional kwargs are passed on
          to the closure.
      """
      if "src" in kwargs:
          raise SyntaxError(
              "crypten.load() should not be used with `src` argument. Use load_from_party() instead."
          )
  
      # TODO: Add support for loading from correct device (kwarg: map_location=device)
      if load_closure == torch.load:
          obj = load_closure(f)
      else:
          obj = load_closure(f, **kwargs)
      return obj
  
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 17 for calling a global function with example usage: load(f, load_closure) and returns: obj