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

Swift for TensorFlow: A portable, flexible platform for 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 aroun...

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Veröffentlicht in:arXiv.org 2021-02
Hauptverfasser: Brennan Saeta, Shabalin, Denys, Rasi, Marc, Larson, Brad, Wu, Xihui, Schuh, Parker, Casbon, Michelle, Zheng, Daniel, Abdulrasool, Saleem, Efremov, Aleksandr, Abrahams, Dave, Lattner, Chris, Wei, Richard
Format: Artikel
Sprache:eng
Schlagworte:
Accelerators
Applications programs
Data centers
Deep learning
Electronic devices
Mobile computing
Semantics
Tensors
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Beschreibung
Zusammenfassung: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.
ISSN:2331-8422