code: def test_gradcheck(self, device, dtype):
      # generate input data
      center = torch.rand(
          1, 3, device=device, dtype=torch.float64, requires_grad=True
      )
      angle = torch.rand(1, 3, device=device, dtype=torch.float64)
      scales: torch.Tensor = torch.ones_like(
          angle, device=device, dtype=torch.float64
      )
      assert gradcheck(
          proj.get_projective_transform,
          (center, angle, scales),
          raise_exception=True,
          fast_mode=True,
      )
  
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 7 for calling the TestGetRotationMatrix3d obj's underlying member method code with example usage: obj.test_gradcheck(device, dtype) without return types