code: def test_shape_7point(self, batch_size, device, dtype):
      B = batch_size
      points1 = torch.rand(B, 7, 2, device=device, dtype=dtype)
      points2 = torch.rand(B, 7, 2, device=device, dtype=dtype)
      torch.ones(B, 7, device=device, dtype=dtype)
      F_mat = epi.find_fundamental(points1, points2, method="7POINT")
      assert F_mat.shape == (B, 3, 3, 3)
  
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 4 for calling the TestFindFundamental obj's underlying member method code with example usage: obj.test_shape_7point(batch_size, device, dtype) without return types