code: def test_shape_batch(self, device):
      inp = torch.rand(10, 1, 32, 32, device=device)
      ori = PatchDominantGradientOrientation(32).to(device)
      ang = ori(inp)
      assert ang.shape == torch.Size([10])
  
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 2 for calling the TestPatchDominantGradientOrientation obj's underlying member method code with example usage: obj.test_shape_batch(device) without return types