code: def test_rot90y(self, device, dtype):
      center = torch.zeros(1, 3, device=device, dtype=dtype)
      angle = torch.tensor(
          [[0.0, 90.0, 0.0]], device=device, dtype=dtype
      )
      scales: torch.Tensor = torch.ones_like(
          angle, device=device, dtype=dtype
      )
      P = proj.get_projective_transform(center, angle, scales)
      P_expected = torch.tensor(
          [
              [0.0, 0.0, 1.0, 0.0],
              [0.0, 1.0, 0.0, 0.0],
              [-1.0, 0.0, 0.0, 0.0],
          ],
          device=device,
          dtype=dtype,
      ).unsqueeze(0)
      assert_close(P, P_expected, atol=1e-4, rtol=1e-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 5 for calling the TestGetRotationMatrix3d obj's underlying member method code with example usage: obj.test_rot90y(device, dtype) without return types