code: def test_smoke(self, device, dtype):
      kernel = _get_center_kernel2d(3, 4, device=device).to(dtype=dtype)
      assert kernel.shape == (2, 2, 3, 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 TestCenterKernel2d obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types