code: def test_smoke(self, device, dtype):
      image = torch.rand(1, 3, 4, 4, device=device, dtype=dtype)
      focal = torch.rand(1, device=device, dtype=dtype)
      camera_matrix = epi.intrinsics_like(focal, image)
      assert camera_matrix.shape == (1, 3, 3)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia.geometry.epipolar
  from kornia.testing import assert_close
label_desc: Use image node_id 1 for calling the TestIntrinsicsLike obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types