code: def __torch_function__(
      cls,
      func: Callable,
      types: Sequence,
      args: Sequence[Any] = (),
      kwargs: Optional[Dict] = None,
  ) -> Any:
      kwargs = kwargs or {}
      loaded_args = [
          (
              arg._load_tensor()
              if isinstance(arg, _NotYetLoadedTensor)
              else arg
          )
          for arg in args
      ]
      return func(*loaded_args, **kwargs)
  
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 6 for calling the _NotYetLoadedTensor obj's underlying member method code with example usage: obj.__torch_function__(cls, func, types, args, kwargs) and returns: func