code: def test_even(self, device, dtype):
      kernel = _get_center_kernel2d(2, 2, device=device).to(dtype=dtype)
      expected = (
          torch.ones(2, 2, 2, 2, device=device, dtype=dtype) * 0.25
      )
      expected[0, 1] = 0
      expected[1, 0] = 0
      assert_close(kernel, expected, atol=1e-4, rtol=1e-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 3 for calling the TestCenterKernel2d obj's underlying member method code with example usage: obj.test_even(device, dtype) without return types