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Исследования2026年10月20日

TorchTPU - 用于TPU上原生PyTorch执行的混合急切/编译架构

arXiv:2610.24161v1 公告类型: 新 摘要: TorchTPU是Google和Meta之间的开源合作,为Google TPU引入了原生且原则性的PyTorch后端。它实现了开箱即用的无缝模型执行和TPU迁移,同时提供…

Claudio Basile, Michael Voznesensky, Gunhyun Park, Ben Wilson, Parker Holloway, Zhanyong Wan, Vlad Belous, Manish Khanna, Paul Ganssle, Kevin Gleason, Andrew Dame, Brendan Folie, Bhavya Bahl, Haifeng Jin, Pedro Goncalves Mokarzel, Arian Arfaian, Luke Boyer, Chi Zhang, Yiling Yuan, Adam Mainz, Aditya Patel, Huangze Tang, Jay Gan, Lizzie Liang, Will Froom, Tushar Agarwal, Karlo Basioli, Theotime Combes, Emilio Cota, Minos Papadopoulos, Tudor Pipernea, Yarong Mu, Qi Zhou, Yaoshiang Ho, Aleksey Vlasenko, Alexander Brauckmann, Ziyin Huang, Jack Oh, Jerry Hsu, Tanvi Bajpai, Jialei Chen, Wenjun Gu, Chintan Shah, Chris Chan, Sayce Falk, Chris Jones, Rob Torres, Kat Ko, Lee Howes, Freya Azad, Andi Gavrilescu, Joe Pamer, Bill Jia·arXiv — cs.AI
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  • 01.arXiv:2610.24161v1 公告类型: 新 摘要: TorchTPU是Google和Meta之间的开源合作,为Google TPU引入了原生且原则性的PyTorch后端。它实现了开箱即用的无缝模型执行和TPU迁移,同时提供…

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