code: def mark_as_loader(method):
      """Method decorator which marks given method as checkpoint loading hook.
  
      Arguments
      ---------
      method : callable
          Method of the class to decorate. Must be callable with
          signature (instance, path, end_of_epoch) using positional
          arguments. This is satisfied by for example:
          `def loader(self, path, end_of_epoch):`
  
      Note
      ----
      This will not add the hook (not possible via a method decorator),
      you must also decorate the class with @register_checkpoint_hooks
      Only one method can be added as the hook.
      """
      sig = inspect.signature(method)
      try:
          sig.bind(object(), pathlib.Path("testpath"), True)
      except TypeError:
          MSG = "Checkpoint loader must have signature (self, path, end_of_epoch)"
          raise TypeError(MSG)
      method._speechbrain_loader = True
      return method
  
imports: import torch
  import collections
  import collections.abc
  import os
  import time
  import yaml
  import pathlib
  import inspect
  import shutil
  import logging
  import warnings
  from packaging import version
  import speechbrain.utils._workarounds
  from speechbrain.utils.distributed import main_process_only, if_main_process, ddp_barrier
label_desc: Use image node_id 5 for calling a global function with example usage: mark_as_loader(method) and returns: method