code: def test_shape_batch(self, device):
      inp = torch.rand(2, 1, 32, 32, device=device)
      ori = PatchAffineShapeEstimator(32).to(device)
      ang = ori(inp)
      assert ang.shape == torch.Size([2, 1, 3])
  
imports: import torch
  from torch.autograd import gradcheck
  import kornia.testing
  from kornia.feature.affine_shape import LAFAffineShapeEstimator, LAFAffNetShapeEstimator, PatchAffineShapeEstimator
  from kornia.testing import assert_close
label_desc: Use image node_id 2 for calling the TestPatchAffineShapeEstimator obj's underlying member method code with example usage: obj.test_shape_batch(device) without return types