code: def test_smoke_tensor(self, device, dtype):
      scale_factor = torch.tensor(1.0)
      camera_matrix = torch.rand(1, 3, 3, device=device, dtype=dtype)
      camera_matrix_scale = epi.scale_intrinsics(
          camera_matrix, scale_factor
      )
      assert camera_matrix_scale.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 2 for calling the TestScaleIntrinsics obj's underlying member method code with example usage: obj.test_smoke_tensor(device, dtype) without return types