code: def test_compare_ort_pytorch_outputs_raise_without_acceptable_error_percentage(
      self,
  ):
      ort_outs = [np.array([[1.0, 2.0], [3.0, 4.0]])]
      pytorch_outs = [torch.tensor([[1.0, 2.0], [3.0, 1.0]])]
      options = verification.VerificationOptions(
          rtol=1e-5,
          atol=1e-6,
          check_shape=True,
          check_dtype=False,
          ignore_none=True,
          acceptable_error_percentage=None,
      )
      with self.assertRaises(AssertionError):
          verification._compare_onnx_pytorch_outputs(
              ort_outs,
              pytorch_outs,
              options,
          )
  
imports: import contextlib
  import io
  import tempfile
  import unittest
  import numpy
  import onnx
  import parameterized
  import pytorch_test_common
  import torch
  from packaging import version
  from torch.onnx import _constants, _experimental, verification
  from torch.testing._internal import common_utils
label_desc: Use image node_id 5 for calling the TestVerification obj's underlying member method code with example usage: obj.test_compare_ort_pytorch_outputs_raise_without_acceptable_error_percentage() without return types