onnx-mlir
This project employs LLVM/MLIR technology to convert ONNX graphs into executable code with minimal runtime. It includes an ONNX dialect and interfaces for transforming ONNX graphs into various forms, alongside a multi-language runtime environment. It supports code generation for generic CPUs and IBM AI accelerators, with Docker recommended for setup. Community interactions take place via Slack and weekly meetings, and comprehensive documentation is provided for developers interested in efficient neural network model deployment.
