vinayburugu / xla

A community-driven and modular open source compiler for ML.

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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.

Warning This repo is currently being migrated from TensorFlow. Until the migration is complete, this repo will not be accepting PRs

It is currently in the process of being created from the code currently inside tensorflow, under the OpenXLA SIG governance.

Contacts

  • For technical questions, contact Mehdi Amini - aminim at google
  • For administrative questions, contact Thea Lamkin - thealamkin at google

Resources

Code of Conduct

While under TensorFlow governance, all community spaces for SIG OpenXLA are subject to the TensorFlow Code of Conduct.

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A community-driven and modular open source compiler for ML.

License:Apache License 2.0


Languages

Language:C++ 83.8%Language:MLIR 8.2%Language:Starlark 6.4%Language:Python 0.7%Language:C 0.4%Language:Smarty 0.2%Language:CMake 0.2%Language:SourcePawn 0.0%Language:Shell 0.0%Language:LLVM 0.0%Language:Cython 0.0%Language:Batchfile 0.0%