docstr: Inverse transformation.
  
  Used to inverse a tensor according to the performed transformation by a forward pass, or with respect to
  provided parameters.
code: def inverse(
      self,
      input: Tensor,
      params: Optional[List[ParamItem]] = None,
      extra_args: Dict[str, Any] = {},
  ) -> Tensor:
      """Inverse transformation.
  
      Used to inverse a tensor according to the performed transformation by a forward pass, or with respect to
      provided parameters.
      """
      if params is None:
          if self._params is None:
              raise ValueError(
                  "No parameters available for inversing, please run a forward pass first "
                  "or passing valid params into this function."
              )
          params = self._params
  
      input = self.inverse_inputs(input, params, extra_args=extra_args)
  
      return input
  
imports: from collections import OrderedDict
  from itertools import zip_longest
  from typing import Any, Dict, Iterator, List, Optional, Tuple
  import torch
  from torch import nn
  import kornia.augmentation
  from kornia.augmentation.base import _AugmentationBase
  from kornia.core import Module, Tensor
  from kornia.geometry.boxes import Boxes
  from kornia.geometry.keypoints import Keypoints
  from .ops import BoxSequentialOps, InputSequentialOps, KeypointSequentialOps, MaskSequentialOps
  from .params import ParamItem
label_desc: Use image node_id 13 for calling the ImageSequentialBase obj's underlying member method code with example usage: obj.inverse(input, params, extra_args) and returns: input