code: def test_values(self, device, dtype):
      x = torch.tensor(
          [[4.0, 7.0], [2.0, 6.0]], device=device, dtype=dtype
      )
  
      y_expected = torch.tensor(
          [[0.6, -0.7], [-0.2, 0.4]], device=device, dtype=dtype
      )
  
      y = _torch_inverse_cast(x)
  
      assert_close(y, y_expected)
  
imports: import pytest
  import torch
  from kornia.testing import assert_close
  from kornia.utils import _extract_device_dtype
  from kornia.utils.helpers import _torch_histc_cast, _torch_inverse_cast, _torch_solve_cast, _torch_svd_cast, safe_inverse_with_mask, safe_solve_with_mask
label_desc: Use image node_id 2 for calling the TestInverseCast obj's underlying member method code with example usage: obj.test_values(device, dtype) without return types