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 doesnโt 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. ### ๐ 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. ### ๐ ๏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. ### ๐ 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