code: def rebuild_tensor_v2(
      cls,
      storage: "TypedStorage",
      storage_offset: int,
      size: tuple,
      stride: tuple,
      requires_grad: bool,
      backward_hooks: OrderedDict,
      metadata: Optional[Any] = None,
      *,
      archiveinfo: "_LazyLoadingUnpickler",
  ) -> "_NotYetLoadedTensor":
      rebuild_args = (
          storage_offset,
          size,
          stride,
          requires_grad,
          backward_hooks,
          metadata,
      )
      metatensor = torch._utils._rebuild_tensor_v2(
          storage,
          storage_offset,
          size,
          stride,
          requires_grad,
          backward_hooks,
          metadata,
      )
      storageinfo = storage.archiveinfo
      return _NotYetLoadedTensor(
          metatensor, archiveinfo, storageinfo, rebuild_args
      )
  
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 4 for calling the _NotYetLoadedTensor obj's underlying member method code with example usage: obj.rebuild_tensor_v2(cls, storage, storage_offset, size, stride, requires_grad, backward_hooks, metadata) and returns: _NotYetLoadedTensor