code: def test_value(self, device, dtype):
      tensor = torch.tensor(
          [[[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]]],
          device=device,
          dtype=dtype,
      )
      output = integral_tensor(tensor)
      expected = torch.tensor(
          [[[[1.0, 3.0, 6.0], [4.0, 9.0, 15.0], [7.0, 15.0, 24.0]]]],
          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 TestIntegralTensor obj's underlying member method code with example usage: obj.test_value(device, dtype) without return types