OpenXLA, a community-driven and modular open-source compiler (actively migrating from tensorflow/xla).
The OpenXLA compiler is a community-driven and modular ML compiler. It will enable efficient optimization and deployment of ML models from most major frameworks to any hardware backend notably CPUs, GPUs, and ML ASICs.
It is currently in the process of being created from the code currently inside tensorflow, under the OpenXLA SIG governance.
- For technical questions, contact Mehdi Amini - aminim at google
- For administrative questions, contact Thea Lamkin - thealamkin at google
- GitHub (current)
- Community Resources
While under TensorFlow governance, all community spaces for SIG OpenXLA are subject to the TensorFlow Code of Conduct.