code: def test_values(self, device, dtype):
      tensor = torch.tensor(
          [
              [
                  [
                      [1, 2, 3, 4],
                      [5, 6, 7, 8],
                      [9, 10, 11, 12],
                      [13, 14, 15, 16],
                  ]
              ]
          ],
          device=device,
          dtype=dtype,
      )
      output = integral_image(tensor)
      expected = torch.tensor(
          [
              [
                  [
                      [1, 3, 6, 10],
                      [6.0, 14.0, 24.0, 36.0],
                      [15.0, 33.0, 54.0, 78.0],
                      [28.0, 60.0, 96.0, 136.0],
                  ]
              ]
          ],
          device=device,
          dtype=dtype,
      )
      self.assert_close(output, expected)
  
file_path: kornia/test/enhance/test_integral.py
imports: import pytest
  import torch
  from kornia.enhance.integral import IntegralImage, IntegralTensor, integral_image, integral_tensor
  from kornia.testing import BaseTester
label_desc: Use image node_id 6 for calling the TestIntegralImage obj's underlying member method code with example usage: obj.test_values(device, dtype) without return types