code: def test_smoke(self, device, dtype):
      image_src = torch.rand(1, 3, 3, 4, device=device, dtype=dtype)
      depth_dst = torch.rand(1, 1, 3, 4, device=device, dtype=dtype)
      src_trans_dst = torch.rand(1, 4, 4, device=device, dtype=dtype)
      camera_matrix = torch.rand(1, 3, 3, device=device, dtype=dtype)
  
      image_dst = kornia.geometry.depth.warp_frame_depth(
          image_src, depth_dst, src_trans_dst, camera_matrix
      )
      assert image_dst.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 TestWarpFrameDepth obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types