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

Proceedings of Machine Learning and Systems(2021)

引用 4|浏览14
暂无评分
摘要
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.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要