code: def test_gradcheck(self, device):
      # generate input data
      batch_size, num_points, num_dims = 2, 3, 2
      ls1 = torch.rand(
          batch_size,
          num_points,
          num_dims,
          2,
          device=device,
          dtype=torch.float64,
          requires_grad=True,
      )
      ls2 = torch.rand(
          batch_size,
          num_points,
          num_dims,
          2,
          device=device,
          dtype=torch.float64,
      )
      H = (
          utils.create_random_homography(batch_size, 3)
          .type_as(ls1)
          .to(device)
      )
      assert gradcheck(
          line_segment_transfer_error_one_way,
          (ls1, ls2, H),
          raise_exception=True,
          fast_mode=True,
      )
  
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 3 for calling the TestLineSegmentOneWayError obj's underlying member method code with example usage: obj.test_gradcheck(device) without return types