code: def run_test(self, model, inputs, *args, **kwargs):
      model = _TopPredictor(model)
      return super().run_test(model, inputs, *args, **kwargs)
  
imports: import os
  import unittest
  import onnx_test_common
  import parameterized
  import PIL
  import torch
  import torchvision
  from torch import nn
label_desc: Use image node_id 1 for calling the TestQuantizedModelsONNXRuntime obj's underlying member method code with example usage: obj.run_test(model, inputs) and returns: super