Flashlight is a new open source machine learning (ML) library, written entirely in C++, that was built by FAIR to power groundbreaking research by enabling teams to rapidly and easily modify deep and ML frameworks to better fit their needs.
We designed Flashlight to be customizable to the core. It contains only the most basic building blocks needed for research, making it simple and intuitive to navigate. And when you change Flashlight’s core components, it takes just seconds to rebuild the entire library and its training pipelines, thanks to its minimalist design and freedom from language bindings.
We wrote Flashlight from the ground up in modern C++ because the language is a powerful tool for doing research in high-performance computing environments. Flashlight has incredibly low framework overhead, as modern C++ enables first-class parallelism and out-of-the-box speed. Flashlight also provides simple bridges to integrate code from low-level domain-specific languages and libraries.
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