code: def test_center_crop_h4_w2(self, device, dtype):
      inp = torch.tensor(
          [
              [
                  [
                      [1.0, 2.0, 3.0, 4.0],
                      [5.0, 6.0, 7.0, 8.0],
                      [9.0, 10.0, 11.0, 12.0],
                      [13.0, 14.0, 15.0, 16.0],
                  ]
              ]
          ],
          device=device,
          dtype=dtype,
      )
  
      height, width = 4, 2
      expected = torch.tensor(
          [[[[2.0, 3.0], [6.0, 7.0], [10.0, 11.0], [14.0, 15.0]]]],
          device=device,
          dtype=dtype,
      )
  
      out_crop = kornia.geometry.transform.center_crop(
          inp, (height, width)
      )
      assert_close(out_crop, expected, rtol=1e-4, atol=1e-4)
  
imports: import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 2 for calling the TestCenterCrop obj's underlying member method code with example usage: obj.test_center_crop_h4_w2(device, dtype) without return types