code: def test_smoke(self, device, dtype, batch_size):
      points_src = torch.rand(
          batch_size, 4, 2, device=device, dtype=dtype
      )
      points_dst = torch.rand(
          batch_size, 4, 2, device=device, dtype=dtype
      )
  
      dst_trans_src = kornia.geometry.get_perspective_transform(
          points_src, points_dst
      )
  
      assert dst_trans_src.shape == (batch_size, 3, 3)
  
imports: import sys
  import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
  from kornia.utils._compat import torch_version, torch_version_lt
  from kornia.utils.helpers import _torch_inverse_cast
label_desc: Use image node_id 1 for calling the TestGetPerspectiveTransform obj's underlying member method code with example usage: obj.test_smoke(device, dtype, batch_size) without return types