code: def test_grad_detach_zca(self, device, dtype):
      data = torch.tensor(
          [[1, 0], [0, 1], [-2, 0], [0, -1]], device=device, dtype=dtype
      )
  
      data = utils.tensor_to_gradcheck_var(data)
      zca = kornia.enhance.ZCAWhitening()
  
      zca.fit(data)
  
      assert gradcheck(zca, (data,), raise_exception=True)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import BaseTester
label_desc: Use image node_id 6 for calling the TestZCA obj's underlying member method code with example usage: obj.test_grad_detach_zca(device, dtype) without return types