code: def test_shape_noweights(self, batch_size, num_points, device, dtype):
      B, N = batch_size, num_points
      points1 = torch.rand(B, N, 2, device=device, dtype=dtype)
      points2 = torch.rand(B, N, 2, device=device, dtype=dtype)
      weights = None
      F_mat = epi.find_fundamental(points1, points2, weights)
      assert F_mat.shape == (B, 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 3 for calling the TestFindFundamental obj's underlying member method code with example usage: obj.test_shape_noweights(batch_size, num_points, device, dtype) without return types