code: def test_toy(self, device):
      ori = PatchDominantGradientOrientation(19).to(device)
      inp = torch.zeros(1, 1, 19, 19, device=device)
      inp[:, :, :10, :] = 1
      ang = ori(inp)
      expected = torch.tensor([90.0], device=device)
      assert_close(rad2deg(ang), 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 TestPatchDominantGradientOrientation obj's underlying member method code with example usage: obj.test_toy(device) without return types