CV-CUDA Release v0.14.0 #233

dlesage-nvidia · 2025-02-27T21:41:44Z

dlesage-nvidia
Feb 27, 2025
Maintainer

Python x86_64 wheels are now available on PyPi, cvcuda-cu11 and cvcuda-cu12 for CUDA 11 and CUDA 12, respectively:

   pip install cvcuda-cu<CUDA_VERSION>

CV-CUDA v0.14.0 includes the following changes:

Full Changelog: v0.13.0-beta...v0.14.0-beta

Added support for SBSA ARM/Grace cuda 12, including ManyLinux2014-compliant Python wheel generation
- We do not provide SBSA-compatible aarch64_cu11 packages yet, this will be addressed in an upcoming release
- aarch64_cu12 packages distributed on Github and Pypi are the SBSA-compatible ones. Jetson builds can be found in explicitly named "Jetson" archives in Github release assets.
Added support for compiling NVCV on QNX
Added support for VYUY and YUV8p formats in NVCV
Improved test coverage for NVCV and operators
Minor corrections to documentation

Made Python cache thread-local to avoid race conditions and potential crashes in Python gilless multithreaded setups

Starting with v0.14, aarch64_cu12 packages (deb, tar.xz or wheels) distributed on Github (release "assets") and Pypi are the SBSA-compatible ones. Jetson builds (deb, tar.xz, whl) can be found in explicitly named "Jetson" archives in Github release assets.
We do not provide SBSA-compatible aarch64_cu11 packages yet, this will be addressed in an upcoming release.

For the full list, see the main README on CV-CUDA GitHub.

CV-CUDA is licensed under the Apache 2.0 license.

CV-CUDA is developed jointly by NVIDIA and the ByteDance Machine Learning team.

This discussion was created from the release CV-CUDA Release v0.14.0.