code: def test_transform_module_should_return_identity(self, device, dtype):
      torch.manual_seed(0)
      x_data = torch.rand(1, 2, 4, 5, dtype=dtype).to(device)
  
      aug = kornia.augmentation.RandomPerspective(
          torch.tensor(0.5, device=device, dtype=dtype), p=0.0
      )
  
      out_perspective = aug(x_data)
      assert out_perspective.shape == x_data.shape
      assert aug.transform_matrix.shape == (1, 3, 3)
      assert_close(out_perspective, x_data)
      assert_close(
          aug.transform_matrix,
          torch.eye(3, device=device, dtype=dtype)[None],
      )
      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 7 for calling the TestRandomPerspective obj's underlying member method code with example usage: obj.test_transform_module_should_return_identity(device, dtype) without return types