code: def test_shape(self, batch_size, num_points, device, dtype):
      B, N = batch_size, num_points
      point = torch.rand(B, N, 2, device=device, dtype=dtype)
      F_mat = torch.rand(B, 3, 3, device=device, dtype=dtype)
      lines = epi.compute_correspond_epilines(point, F_mat)
      assert lines.shape == (B, N, 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 2 for calling the TestComputeCorrespondEpilines obj's underlying member method code with example usage: obj.test_shape(batch_size, num_points, device, dtype) without return types