code: def test_smoke(self, batch_size, device, dtype):
      src = torch.rand(batch_size, 4, 2, device=device)
      out = kornia.geometry.transform.get_tps_transform(src, src)
      assert len(out) == 2
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  from kornia.testing import assert_close
  from kornia.utils._compat import torch_version_ge
label_desc: Use image node_id 1 for calling the TestTransformParameters obj's underlying member method code with example usage: obj.test_smoke(batch_size, device, dtype) without return types