Poster
Swift for TensorFlow: A portable, flexible platform for deep learning
Brennan Saeta · Denys Shabalin
Keywords: [ Applications ] [ Generative Models ] [ Computer Vision ] [ Algorithms -> Unsupervised Learning; Applications -> Computational Photography; Deep Learning ]
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 and has been employed across data center and mobile applications.