code: def persistent_load(self, pid: tuple) -> "TypedStorage":
      from torch.storage import TypedStorage
  
      _, cls, _, _, _ = pid
      with warnings.catch_warnings():
          # The TypedStorage APIs have heavy deprecations in torch, suppress all these warnings for now
          warnings.simplefilter("ignore")
          storage = TypedStorage(dtype=cls().dtype, device="meta")
      storage.archiveinfo = pid
      return storage
  
imports: import os
  import pickle
  import warnings
  from functools import partial
  from io import BytesIO
  from typing import IO, TYPE_CHECKING, Any, Callable, Dict, Optional, OrderedDict, Sequence, Set, Union
  import torch
  from lightning_utilities.core.apply_func import apply_to_collection
  from torch import Tensor
  from torch._C import _TensorMeta
  from torch.nn import Parameter
  from typing_extensions import override
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_0
  from lightning.fabric.utilities.types import _PATH, _Stateful
label_desc: Use image node_id 3 for calling the _LazyLoadingUnpickler obj's underlying member method code with example usage: obj.persistent_load(pid) and returns: storage