Open ABI and FFI for Machine Learning Systems
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Re: Open ABI and FFI for Machine Learning Systems
#2The goal of the project is to bring open ABI and FFI for machine learning systems.
- Stable, minimal C ABI designed for kernels, DSLs, and runtime extensibility. - Zero-copy interop across PyTorch, JAX, and CuPy using DLPack protocol. - Compact value and call convention covering common data types for ultra low-overhead ML applications. - Multi-language support out of the box: Python, C++, and Rust (with a path towards more languages).