code: def test_dynamo(self, device, dtype, torch_optimizer):
      # Define script
      op = kornia.geometry.transform.center_crop
      op_script = torch_optimizer(op)
      # Define input
      img = torch.ones(1, 2, 5, 4, device=device, dtype=dtype)
  
      actual = op_script(img, (4, 2))
      expected = op(img, (4, 2))
      assert_close(actual, 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 5 for calling the TestCenterCrop obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types