code: def test_toy(self, device):
      ori = LAFOrienter(32).to(device)
      inp = torch.zeros(1, 1, 19, 19, device=device)
      inp[:, :, :, :10] = 1
      laf = torch.tensor(
          [[[[5.0, 0.0, 8.0], [0.0, 5.0, 8.0]]]], device=device
      )
      new_laf = ori(laf, inp)
      expected = torch.tensor(
          [[[[-5.0, 0.0, 8.0], [0.0, -5.0, 8.0]]]], device=device
      )
      assert_close(new_laf, expected)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia.testing
  from kornia.feature.orientation import LAFOrienter, OriNet, PassLAF, PatchDominantGradientOrientation
  from kornia.geometry.conversions import rad2deg
  from kornia.testing import assert_close
label_desc: Use image node_id 4 for calling the TestLAFOrienter obj's underlying member method code with example usage: obj.test_toy(device) without return types