code: def test_smoke(self, device, dtype):
      depth = torch.rand(1, 1, 3, 4, device=device, dtype=dtype)
      camera_matrix = torch.rand(1, 3, 3, device=device, dtype=dtype)
  
      points3d = kornia.geometry.depth.depth_to_3d(depth, camera_matrix)
      assert points3d.shape == (1, 3, 3, 4)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 1 for calling the TestDepthTo3d obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types