code: def find_class(self, module: str, name: str) -> Any:
      if module == "torch._utils" and name == "_rebuild_tensor_v2":
          return partial(
              _NotYetLoadedTensor.rebuild_tensor_v2, archiveinfo=self
          )
      if module == "torch._tensor" and name == "_rebuild_from_type_v2":
          return partial(
              _NotYetLoadedTensor.rebuild_from_type_v2, archiveinfo=self
          )
      if module == "torch._utils" and name == "_rebuild_parameter":
          return partial(
              _NotYetLoadedTensor.rebuild_parameter, archiveinfo=self
          )
      return super().find_class(module, name)
  
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 2 for calling the _LazyLoadingUnpickler obj's underlying member method code with example usage: obj.find_class(module, name) and returns: super, partial, partial, partial