code: def mark_as_saver(method):
      """Method decorator which marks given method as the checkpoint saving hook.
  
      See register_checkpoint_hooks for example.
  
      Arguments
      ---------
      method : callable
          Method of the class to decorate. Must be callable with
          signature (instance, path) using positional arguments. This is
          satisfied by for example: def saver(self, path):
  
      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"))
      except TypeError:
          MSG = "Checkpoint saver must match signature (instance, path)"
          raise TypeError(MSG)
      method._speechbrain_saver = 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 4 for calling a global function with example usage: mark_as_saver(method) and returns: method