code: def test_smoke(self, device, dtype):
      points1st = torch.rand(1, 4, 2, device=device, dtype=dtype)
      points1end = torch.rand(1, 4, 2, device=device, dtype=dtype)
      points2st = torch.rand(1, 4, 2, device=device, dtype=dtype)
      points2end = torch.rand(1, 4, 2, device=device, dtype=dtype)
      weights = torch.ones(1, 4, device=device, dtype=dtype)
      ls1 = torch.stack([points1st, points1end], dim=2)
      ls2 = torch.stack([points2st, points2end], dim=2)
      H = find_homography_lines_dlt(ls1, ls2, weights)
      assert H.shape == (1, 3, 3)
  
imports: import sys
  import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.geometry.homography import find_homography_dlt, find_homography_dlt_iterated, find_homography_lines_dlt, find_homography_lines_dlt_iterated, line_segment_transfer_error_one_way, oneway_transfer_error, sample_is_valid_for_homography, symmetric_transfer_error
  from kornia.testing import assert_close
  from kornia.utils._compat import torch_version_le
label_desc: Use image node_id 1 for calling the TestFindHomographyFromLinesDLT obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types