microsoft / microsoft/onnxruntime
[Feature Request] Integrate with ONNX 1.23.0 release branch
- Dominant language
- C++
- Stars
- 21.9k
- Forks
- 4.2k
- Avg merge
- 4d 11h
- Merged PRs (30d)
- 184
Description
### Describe the feature request
We are releasing ONNX 1.23.0. A release branch is created (https://github.com/onnx/onnx/tree/rel-1.213.0). The planned release date is Sep 14, 2026. Release candidates are also available from TestPyPI:
pip install -i https://pypi.org/simple/ --pre onnx==1.23.0rc1
It is important to integrate ONNX release branch into ORT ASAP so that any issues and incompatibilities can be detected and resolved before the ONNX release.
Please follow instructions at (https://github.com/microsoft/onnxruntime/blob/master/docs/How_To_Update_ONNX_Dev_Notes.md) to integrate with the ONNX release branch. Please implement CPU kernels for new and updated ONNX ops. A list of new and updated ops can be found at [ONNX-1.23.0](https://github.com/onnx/onnx/wiki/Logistics-for-ONNX-Release-1.23.0).
In case a bug in ONNX is detected during integration of ONNX 1.23.0, please open a [ONNX Bug Report](https://github.com/onnx/onnx/issues/new?assignees=&labels=bug&projects=&template=bug.md&title=) and tag ONNX Release Manager [Sahar Fatima (@sfatimar)](https://github.com/sfatimar) so that the bug is fixed in the ONNX release branch.
### Describe scenario use case
n/a
Contributor guide
Research direction
Start with docs/How_To_Update_ONNX_Dev_Notes.md and review the ONNX 1.23.0 release branch and its listed new and updated operators. Follow the integration process to identify incompatibilities and determine the required CPU kernels. Done means the release branch is integrated into ORT, required CPU kernels are implemented, and any ONNX bugs found are reported to the ONNX project.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- backend, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100