code: def test_resnet(self):
      # NOTE: many onnx models can't be run right now due to max pool with strides != kernel_size
      input_name, input_new = "data", False
      self._test_model(
          fetch(
              "https://github.com/onnx/models/raw/main/validated/vision/classification/resnet/model/resnet18-v2-7.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 5 for calling the TestOnnxModel obj's underlying member method code with example usage: obj.test_resnet() without return types