code: def rebuild_parameter(
      cls,
      data: Any,
      requires_grad: bool,
      backward_hooks: OrderedDict,
      *,
      archiveinfo: Optional["_LazyLoadingUnpickler"] = None,
  ) -> Union[Tensor, "_NotYetLoadedTensor"]:
      if isinstance(data, _NotYetLoadedTensor):
          old_lt = data._load_tensor
  
          def _load_tensor() -> Parameter:
              t = old_lt()
              return torch._utils._rebuild_parameter(
                  t, requires_grad, backward_hooks
              )
  
          data._load_tensor = _load_tensor  # type: ignore[method-assign]
          return data
      return torch._utils._rebuild_parameter(
          data, requires_grad, backward_hooks
      )
  
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 _NotYetLoadedTensor obj's underlying member method code with example usage: obj.rebuild_parameter(cls, data, requires_grad, backward_hooks) and returns: torch, data, torch