code: def test_gradcheck(self, device):
      points1 = torch.rand(
          1,
          10,
          2,
          device=device,
          dtype=torch.float64,
          requires_grad=True,
      )
      points2 = torch.rand(1, 10, 2, device=device, dtype=torch.float64)
      weights = torch.ones(1, 10, device=device, dtype=torch.float64)
      assert gradcheck(
          epi.find_fundamental,
          (points1, points2, weights),
          raise_exception=True,
          fast_mode=True,
      )
  
imports: from typing import Dict
  import pytest
  import test_common
  import torch
  from torch.autograd import gradcheck
  import kornia.geometry.epipolar
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 10 for calling the TestFindFundamental obj's underlying member method code with example usage: obj.test_gradcheck(device) without return types