code: def test_no_transform_module(self, device, dtype):
      x_data = torch.rand(1, 2, 8, 9, dtype=dtype).to(device)
      aug = kornia.augmentation.RandomPerspective(
          torch.tensor(0.5, device=device, dtype=dtype)
      )
      out_perspective = aug(x_data)
      assert out_perspective.shape == x_data.shape
      assert aug.inverse(out_perspective).shape == x_data.shape
  
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 6 for calling the TestRandomPerspective obj's underlying member method code with example usage: obj.test_no_transform_module(device, dtype) without return types