code: def test_smoke(self, device, dtype):
      sample = torch.randn(2, 3, 3, 4, 4, device=device, dtype=dtype)
      nms = kornia.geometry.ConvQuadInterp3d(1)
      coord, val = nms(sample)
      assert coord.shape == (2, 3, 3, 3, 4, 4)
      assert val.shape == (2, 3, 3, 4, 4)
  
imports: import torch
  from torch.autograd import gradcheck
  from torch.nn.functional import mse_loss
  import kornia
  import kornia.testing
  from kornia.geometry.subpix.spatial_soft_argmax import _get_center_kernel2d, _get_center_kernel3d
  from kornia.testing import assert_close
label_desc: Use image node_id 1 for calling the TestConvQuadInterp3d obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types