class_docstr: Apply and inverse transformations for class labels if needed.
class_docstr_tok: ["Apply","and","inverse","transformations","for","class","labels","if","needed","."]
code: def inverse(
      cls,
      input: Tensor,
      module: Module,
      param: ParamItem,
      extra_args: Dict[str, Any] = {},
  ) -> Tensor:
      return input
  
imports: from abc import ABCMeta, abstractmethod
  from typing import Any, Callable, Dict, Generic, List, Optional, Type, TypeVar, Union
  from typing_extensions import ParamSpec
  import kornia.augmentation
  from kornia.augmentation.base import _AugmentationBase
  from kornia.constants import DataKey
  from kornia.core import Module, Tensor
  from kornia.geometry.boxes import Boxes
  from kornia.geometry.keypoints import Keypoints
  from .params import ParamItem
label_desc: Use image node_id 2 for calling the ClassSequentialOps obj's underlying member method code with example usage: obj.inverse(cls, input, module, param, extra_args) and returns: input