XLA: TensorFlow, Compiled! (TensorFlow Dev Summit 2017)
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37.6
Google Developers2.39 млн
Следующее
15.02.17 – 34 35919:38Популярные
206 дней – 5 8040:16
306 дней – 1 9260:50Опубликовано 15 февраля 2017, 22:05
Speed is everything for effective machine learning, and XLA was developed to reduce training and inference time. In this talk, Chris Leary and Todd Wang describe how TensorFlow can make use of XLA, JIT, AOT, and other compilation techniques to minimize execution time and maximize computing resources.
Visit the TensorFlow website for all session recordings: goo.gl/bsYmza
Subscribe to the Google Developers channel at goo.gl/mQyv5L
event: TensorFlow Dev Summit 2017; re_ty: Publish;
Visit the TensorFlow website for all session recordings: goo.gl/bsYmza
Subscribe to the Google Developers channel at goo.gl/mQyv5L
event: TensorFlow Dev Summit 2017; re_ty: Publish;
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