Swift for TensorFlow: A portable, flexible platform for deep learning
This provides a portable and flexible platform for deep learning practitioners, though it is incremental as it builds on existing TensorFlow and Swift technologies.
The authors tackled the challenge of creating a scalable deep learning platform by developing Swift for TensorFlow, which integrates automatic differentiation and Tensor implementations in a compiled language, and validated it across over 30 models in data center and mobile applications.
Swift for TensorFlow is a deep learning platform that scales from mobile devices to clusters of hardware accelerators in data centers. It combines a language-integrated automatic differentiation system and multiple Tensor implementations within a modern ahead-of-time compiled language oriented around mutable value semantics. The resulting platform has been validated through use in over 30 deep learning models and has been employed across data center and mobile applications.