code: def test_smoke(self, device, dtype):
      image = torch.rand(1, 3, 4, 4, device=device, dtype=dtype)
      identity = kornia.eye_like(3, image)
      assert identity.shape == (1, 3, 3)
      assert identity.device == image.device
      assert identity.dtype == image.dtype
  
file_path: kornia/test/geometry/epipolar/test_numeric.py
imports: import pytest
  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 TestEyeLike obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types