code: def test_gradcheck(self, device):
      P1 = torch.rand(
          1,
          3,
          4,
          device=device,
          dtype=torch.float64,
          requires_grad=True,
      )
      P2 = torch.rand(1, 3, 4, device=device, dtype=torch.float64)
      assert gradcheck(
          epi.fundamental_from_projections,
          (P1, P2),
          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 5 for calling the TestFundamentalFromProjections obj's underlying member method code with example usage: obj.test_gradcheck(device) without return types