code: def test_shape_batch(self, device):
      inp = torch.rand(2, 1, 32, 32, device=device)
      laf = torch.rand(2, 34, 2, 3, device=device)
      ori = PassLAF().to(device)
      out = ori(laf, inp)
      assert out.shape == laf.shape
  
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 TestPassLAF obj's underlying member method code with example usage: obj.test_shape_batch(device) without return types