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PyTorch: An Imperative Style, High-Performance Deep ...

pytorch : An Imperative Style, High-PerformanceDeep learning LibraryAdam PaszkeUniversity of GrossFacebook AI MassaFacebook AI LererFacebook AI ChananFacebook AI KilleenSelf LinFacebook AI DesmaisonOxford K YangFacebook AI DeVitoFacebook AI SteinerFacebook AI ChintalaFacebook AI learning frameworks have often focused on either usability or speed, butnot both. pytorch is a machine learning library that shows that these two goalsare in fact compatible: it provides an Imperative and Pythonic programming stylethat supports code as a model, makes debugging easy and is consistent with otherpopular scientific computing libraries, while remaining efficient and supportinghardware accelerators such as this paper, we detail the principles that drove the implementation of PyTorchand how they are reflected in its architecture. We emphasize that every aspect ofPyTorch is a regular Python program under the full control of its user.

Facebook AI Research benoitsteiner@fb.com Lu Fang Facebook lufang@fb.com Junjie Bai Facebook jbai@fb.com Soumith Chintala Facebook AI Research soumith@gmail.com Abstract Deep learning frameworks have often focused on either usability or speed, but not both. PyTorch is a machine learning library that shows that these two goals

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