code: def test_back_and_forth(self, device, dtype):
      # generate input data
      h_max, w_max = 64, 32  # height, width
      h = h_max * torch.rand(1, device=device, dtype=dtype)
      w = w_max * torch.rand(1, device=device, dtype=dtype)
  
      norm = torch.rand(1, 4, 2, device=device, dtype=dtype)
      points_src = torch.zeros_like(norm, device=device, dtype=dtype)
      points_src[:, 1, 0] = h
      points_src[:, 2, 1] = w
      points_src[:, 3, 0] = h
      points_src[:, 3, 1] = w
      points_dst = points_src + norm
  
      # compute transform from source to target
      dst_trans_src = kornia.geometry.get_perspective_transform(
          points_src, points_dst
      )
      points_dst_hat = kornia.geometry.transform_points(
          dst_trans_src, points_src
      )
      assert_close(points_dst, points_dst_hat)
  
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 3 for calling the TestGetPerspectiveTransform obj's underlying member method code with example usage: obj.test_back_and_forth(device, dtype) without return types