v4.0.0-beta.13

tokio-rs/axumv4.0.0-beta.13Jul 12, 2026by github-actions[bot]

AI Summary

This beta release resolves CUDA compatibility issues across Windows and Linux platforms and improves the reliability of cross-platform executable builds and PyPI publishing.

Key Highlights

  • Fixed CUDA 12 compatibility on Windows and Linux
  • Validated Windows CUDA 12 artifacts do not link against CUDA 13
  • Automated cross-platform executable builds and GitHub releases
  • PyPI Trusted Publishing integration

Full Release Notes

> PyPI: https://pypi.org/project/x-anylabeling-cvhub/
> Baidu Cloud: https://pan.baidu.com/s/1pgaw02inCvbEgOme9ajDJA?pwd=e528

> [!NOTE]
> Due to compatibility issues across different systems, if the precompiled version doesnโ€™t work properly on your machine, you can try building and running it from source instead. For details, check out the official installation guide and user documentation.

### ๐Ÿ› Bug Fixes

- Keep CUDA 12 executable builds on a compatible ONNX Runtime GPU release.
- Validate that Windows CUDA 12 artifacts do not link against CUDA 13 libraries.
- Restore Linux release tests and builds with the required runtime dependencies.

### ๐Ÿ› ๏ธ Improvements

- Add Linux and Windows CUDA 12 executables to automated releases.
- Publish Python packages through PyPI Trusted Publishing.
- Update and pin release workflow actions for reproducible builds.

### ๐ŸŒŸ Contributors

A total of 1 developer contributed to this release.

Thank @CVHub520

**Full Changelog**: https://github.com/CVHub520/X-AnyLabeling/compare/v4.0.0-beta.12...v4.0.0-beta.13