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arXiv · 2102.13243

Swift for TensorFlow: A portable, flexible platform for deep learning

Brennan Saeta·Denys Shabalin·Marc Rasi·Brad Larson·Xihui Wu·Parker Schuh·Michelle Casbon·Daniel Zheng·Saleem Abdulrasool·Aleksandr Efremov·Dave Abrahams·Chris Lattner·Richard Wei
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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 has been employed across data center and mobile applications.

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Brennan Saeta, Denys Shabalin, Marc Rasi, Brad Larson, Xihui Wu, Parker Schuh, Michelle Casbon, Daniel Zheng, Saleem Abdulrasool, Aleksandr Efremov, Dave Abrahams, Chris Lattner, Richard Wei. 2021-02-26. Swift for TensorFlow: A portable, flexible platform for deep learning. https://arxiv.org/abs/2102.13243

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