# How to build caffe2 with ONNX opset version greater than 9?

**URL:** <https://discuss.pytorch.org/t/how-to-build-caffe2-with-onnx-opset-version-greater-than-9/59675>\
**Category:** deployment\
**Created:** [October 31, 2019, 12:34pm UTC](https://discuss.pytorch.org/t/how-to-build-caffe2-with-onnx-opset-version-greater-than-9/59675 "2019-10-31T12:34:42Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![tom](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/tom/32/3162_2.png) [@tom](https://discuss.pytorch.org/u/tom)\
**Post date:** [October 31, 2019, 3:22pm UTC](https://discuss.pytorch.org/t/how-to-build-caffe2-with-onnx-opset-version-greater-than-9/59675/2 "2019-10-31T15:22:41Z")

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I don’t know but I would venture that arguably the go-to library for ONNX model serving is [ONNXRuntime](https://github.com/microsoft/onnxruntime) these days.

See also [Caffe2 vs libtorch, realistically](https://discuss.pytorch.org/t/caffe2-vs-libtorch-realistically/50526/4) .

Best regards

Thomas

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