code: def test_gradcheck(self, device):
      tensor = torch.rand(
          1,
          1,
          4,
          4,
          device=device,
          dtype=torch.float64,
          requires_grad=True,
      )
      self.gradcheck(integral_image, (tensor,))
  
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 5 for calling the TestIntegralImage obj's underlying member method code with example usage: obj.test_gradcheck(device) without return types