code: def test_transform(self):
      x = {"img": np.ones((128, 100, 3), dtype=np.uint8)}
      # object not found error
      with self.assertRaises(Exception):
          TorchVisionWrapper(op="NonExist")
      with self.assertRaises(TypeError):
          TorchVisionWrapper()
      f = TorchVisionWrapper("Grayscale")
      with self.assertRaises(AssertionError):
          f({})
      results = f(x)
      assert results["img"].shape == (128, 100)
      assert results["img_shape"] == (128, 100)
  
imports: import copy
  import unittest
  from typing import Dict, List, Optional
  import numpy
  from shapely.geometry import Polygon
  from mmocr.datasets.transforms import ConditionApply, ImgAugWrapper, TorchVisionWrapper
label_desc: Use image node_id 1 for calling the TestTorchVisionWrapper obj's underlying member method code with example usage: obj.test_transform() without return types