class_docstr: Homography geometric model to be used together with ImageRegistrator module for the optimization-based
  image registration.
docstr: Interted Single-batch homography".
  
  Returns:
      Homography martix with shape :math:`(1, 3, 3)`.
docstr_tok: ["Interted","Single-batch","homography","''",".","Returns",":","Homography","martix","with","shape",":","math",":","`","(","1",",","3",",","3",")","`","."]
code: def forward_inverse(self) -> Tensor:
      r"""Interted Single-batch homography".
  
      Returns:
          Homography martix with shape :math:`(1, 3, 3)`.
      """
      return torch.unsqueeze(torch.inverse(self.model), dim=0)
  
imports: from abc import abstractmethod
  from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
  import torch
  import torch.nn.functional
  from torch import nn, optim
  from kornia.core import Module, Tensor
  from kornia.geometry.conversions import angle_to_rotation_matrix, convert_affinematrix_to_homography
  from .homography_warper import BaseWarper, HomographyWarper
  from .pyramid import build_pyramid
label_desc: Use image node_id 5 for calling the Homography obj's underlying member method code with example usage: obj.forward_inverse() and returns: torch