code: def test_registration_toy(self, device, dtype):
      ch, height, width = 3, 16, 18
      homography = torch.eye(3, device=device, dtype=dtype)[None]
      homography[..., 0, 0] = 1.05
      homography[..., 1, 1] = 1.05
      homography[..., 0, 2] = 0.01
      img_src = torch.rand(
          1, ch, height, width, device=device, dtype=dtype
      )
      img_dst = kornia.geometry.homography_warp(
          img_src, homography, (height, width), align_corners=False
      )
      IR = ImageRegistrator(
          "Similarity", num_iterations=500, lr=3e-4, pyramid_levels=2
      ).to(device, dtype)
      model = IR.register(img_src, img_dst)
      assert_close(model, homography, atol=1e-3, rtol=1e-3)
      model, intermediate = IR.register(
          img_src, img_dst, output_intermediate_models=True
      )
      assert len(intermediate) == 2
  
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 TestImageRegistrator obj's underlying member method code with example usage: obj.test_registration_toy(device, dtype) without return types