Oral

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

2021 Oral

[ Paper PDF]

Abstract

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.

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