[torch_outputs](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor") = torch_model(*example_inputs)

assert len([torch_outputs](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor")) == len(onnxruntime_outputs)
for [torch_output](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor"), onnxruntime_output in zip([torch_outputs](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor"), onnxruntime_outputs):
    [torch.testing.assert_close](https://docs.pytorch.org/docs/stable/testing.html#torch.testing.assert_close "torch.testing.assert_close")([torch_output](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor"), [torch.tensor](https://docs.pytorch.org/docs/stable/generated/torch.tensor.html#torch.tensor "torch.tensor")(onnxruntime_output))

print("PyTorch and ONNX Runtime output matched!")
print(f"Output length: {len(onnxruntime_outputs)}")
print(f"Sample output: {onnxruntime_outputs}")