code: def test_dynamo(self, device, dtype, torch_optimizer):
      # TODO: check if `undistort_image` fully support dynamo
      im = torch.rand(1, 3, 5, 5, device=device, dtype=dtype)
      K = torch.rand(3, 3, device=device, dtype=dtype)
      distCoeff = torch.rand(4, device=device, dtype=dtype)
      inputs = (im, K, distCoeff)
  
      op = undistort_image
      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 7 for calling the TestUndistortImage obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types