code: def test_smoke_inverse(self, device, dtype):
      expected = torch.eye(3, device=device, dtype=dtype)[None]
      h = kornia.geometry.transform.Homography().to(device, dtype)
      assert_close(h.forward_inverse(), expected, atol=1e-4, rtol=1e-4)
  
imports: import sys
  import pytest
  import torch
  import kornia
  import kornia.testing
  from kornia.geometry import transform_points
  from kornia.geometry.conversions import denormalize_homography
  from kornia.geometry.transform import ImageRegistrator
  from kornia.testing import assert_close
  from kornia.utils._compat import torch_version
label_desc: Use image node_id 2 for calling the TestHomography obj's underlying member method code with example usage: obj.test_smoke_inverse(device, dtype) without return types