code: def test_shufflenet(self):
      input_name, input_new = "gpu_0/data_0", False
      self._test_model(
          fetch(
              "https://github.com/onnx/models/raw/main/validated/vision/classification/shufflenet/model/shufflenet-9.onnx"
          ),
          input_name,
          input_new,
      )
  
file_path: tinygrad/test/models/test_onnx.py
imports: import os
  import time
  import unittest
  import numpy
  import onnx
  from extra.onnx import get_run_onnx
  from tinygrad.tensor import Tensor
  from tinygrad.helpers import CI, fetch, temp
label_desc: Use image node_id 4 for calling the TestOnnxModel obj's underlying member method code with example usage: obj.test_shufflenet() without return types