code: def test_dynamo(self, device, dtype, torch_optimizer):
      points = torch.ones(1, 2, 2, device=device, dtype=dtype)
      transform = kornia.eye_like(3, points)
      op = kornia.geometry.transform_points
      op_script = torch_optimizer(op)
      actual = op_script(transform, points)
      expected = op(transform, points)
      assert_close(actual, expected, atol=1e-4, rtol=1e-4)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.geometry.linalg
  import kornia.testing
  from kornia.testing import BaseTester, assert_close
label_desc: Use image node_id 3 for calling the TestTransformPoints obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types