code: def test_batch(self, batch_size, device, dtype):
      B: int = batch_size
      center = torch.rand(B, 3, device=device, dtype=dtype)
      angle = torch.rand(B, 3, device=device, dtype=dtype)
      scales: torch.Tensor = torch.ones_like(
          angle, device=device, dtype=dtype
      )
      P = proj.get_projective_transform(center, angle, scales)
      assert P.shape == (B, 3, 4)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.geometry.transform
  import kornia.testing
  from kornia.testing import assert_close
  from kornia.utils.helpers import _torch_inverse_cast
label_desc: Use image node_id 2 for calling the TestGetRotationMatrix3d obj's underlying member method code with example usage: obj.test_batch(batch_size, device, dtype) without return types