Glow is a machine learning compiler that accelerates the performance of deep learning frameworks on different hardware platforms. It enables the ecosystem of hardware developers and researchers to focus on building next gen hardware accelerators that can be supported by deep learning frameworks like PyTorch.
Glow accepts a computation graph from deep learning frameworks, such as PyTorch, and generates highly optimized code for machine learning accelerators. It contains many machine learning and hardware optimizations like kernel fusion to accelerate model development.
Glow is currently in active development.
Visit GitHub to get started.
PyTorch is an open source deep learning framework built to be flexible and modular for research, with the stability and support needed for production deployment. It enables fast, flexible experimentation through a tape-based autograd system designed for immediate and python-like execution.