code: def test_smoke(self, device, dtype):
      points1 = torch.rand(1, 5, 2, device=device, dtype=dtype)
      points2 = torch.rand(1, 5, 2, device=device, dtype=dtype)
      weights = torch.ones(1, 5, device=device, dtype=dtype)
      E_mat = epi.essential.find_essential(points1, points2, weights)
      assert E_mat.shape == (1, 3, 3)
  
imports: import pytest
  import test_common
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.geometry.epipolar
  from kornia.testing import assert_close
label_desc: Use image node_id 1 for calling the TestFindEssential obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types