code: def setUp(self):
      super().setUp()
      onnxruntime.set_seed(0)
      if torch.cuda.is_available():
          torch.cuda.manual_seed_all(0)
      os.environ["ALLOW_RELEASED_ONNX_OPSET_ONLY"] = "0"
      self.is_script_test_enabled = True
  
imports: from __future__ import annotations
  import contextlib
  import copy
  import dataclasses
  import io
  import logging
  import os
  import unittest
  import warnings
  from typing import Any, Callable, Collection, Iterable, List, Mapping, Optional, Sequence, Tuple, Type, Union
  import numpy
  import onnxruntime
  import pytest
  import pytorch_test_common
  import torch
  from torch import export
  from torch.onnx import _constants, verification
  from torch.onnx._internal import _beartype
  from torch.onnx._internal.fx import diagnostics
  from torch.testing._internal import common_utils
  from torch.testing._internal.opinfo import core
  from torch.types import Number
label_desc: Use image node_id 1 for calling the _TestONNXRuntime obj's underlying member method code with example usage: obj.setUp() without return types