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PyTorch: An Imperative Style, High-Performance Deep Learning Library

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Soumith Chintala: The first full paper on @pytorch after 3 years of development. It describes our goals, design principles, technical details uptil v0.4 Catch the poster at #NeurIPS2019 Authored by @apaszke , @colesbury et. al. https://arxiv.org/abs/1912.01703

14 replies, 1851 likes


Adam Paszke: After all those years we’ve finally put up a proper paper for PyTorch 😅 Thanks to all of you who have contributed to the community, through documentation, code, issues, requests, forum posts, talks, etc. It wouldn’t have been possible without you!

7 replies, 286 likes


Sean J. Taylor: My team at Lyft has been building our entire project in PyTorch. It's been amazingly productive for us! (I hope to share more about our applications early next year)

2 replies, 171 likes


Delip Rao: PyTorch is easily one of the best productivity tools I found useful that I didn’t have to “sell it” to my current and past teams. They were relieved that I wanted them to use PyTorch. Such huge impact from such small team. Kudos!

1 replies, 85 likes


Luca Antiga: Beyond stoked to be on this one 🙏 It’s hard to express how much contributing to @PyTorch in those early days has meant to me. I learned so much and got to meet such an amazing group of people, it has definitely shaped things.

0 replies, 16 likes


Andrew Trask: https://twitter.com/soumithchintala/status/1202981209057484801

0 replies, 14 likes


Adam Lerer: We finally published a full paper on Pytorch! It's incredible to see how it's grown over the years. Grateful that I got to work with the amazing @soumithchintala , @apaszke , @colesbury in the early early days of PyTorch.

1 replies, 14 likes


Xavier Bresson: How long will it take for the paper to reach 1,000 citations? I bet less than 6 months :)

0 replies, 12 likes


MONTREAL.AI: PyTorch: An Imperative Style, High-Performance Deep Learning Library Paszke et al.: https://arxiv.org/abs/1912.01703 #ArtificialIntelligence #DeepLearning #PyTorch https://t.co/3Oqii8GANy

0 replies, 10 likes


ML-Bioinfo-CEITEC: #DeepLearning frameworks have often focused on either usability or speed, but not both. #PyTorch is a #MachineLearning library that shows that these two goals are in fact compatible. Read more at: https://arxiv.org/abs/1912.01703

0 replies, 8 likes


Dmitry Kislyuk: PyTorch has been a pretty remarkable success story! Our favorite deep learning tool for computer vision at Pinterest.

0 replies, 6 likes


Underfox: In this article are detailed the principles that drove the implementation of PyTorch and how they are reflected in its architecture. https://arxiv.org/pdf/1912.01703.pdf https://t.co/yMDgeWQQAj

0 replies, 5 likes


Machine Learning: PyTorch: An Imperative Style, High-Performance Deep Learning Library. http://arxiv.org/abs/1912.01703

0 replies, 4 likes


Stephen Pimentel: PyTorch: An Imperative Style, High-Performance Deep Learning Library https://arxiv.org/abs/1912.01703

1 replies, 2 likes


Ian Xiao: Check out this great paper that discusses the design considerations and implementation of PyTorch by its developers. #NeurIPS2019 #PyTorch

0 replies, 2 likes


Content

Found on Dec 06 2019 at https://arxiv.org/pdf/1912.01703.pdf

PDF content of a computer science paper: PyTorch: An Imperative Style, High-Performance Deep Learning Library