code: def test_dynamo(self, device, dtype, torch_optimizer):
      points = torch.rand(1, 1, 2, device=device, dtype=dtype)
      K = torch.rand(1, 3, 3, device=device, dtype=dtype)
      new_K = torch.rand(1, 3, 3, device=device, dtype=dtype)
      distCoeff = torch.rand(1, 4, device=device, dtype=dtype)
      inputs = (points, K, distCoeff, new_K)
  
      op = undistort_points
      op_optimized = torch_optimizer(op)
      assert_close(op(*inputs), op_optimized(*inputs))
  
imports: import pytest
  import torch
  from kornia.geometry.calibration.undistort import undistort_image, undistort_points
  from kornia.testing import assert_close, gradcheck
label_desc: Use image node_id 8 for calling the TestUndistortPoints obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types