XLA: TensorFlow, Compiled! (TensorFlow Dev Summit 2017)

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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.

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event: TensorFlow Dev Summit 2017; re_ty: Publish;




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Tags:
Google
developers
Product: Web
Fullname: Other
Team: Scalable Advocacy
GDS: Full Production
Location: MTV
TensorFlow
Tensor Flow
Dev Summit
Dev
Summit
Livestream
Machine Learning
machine learning
XLA
JIT
AOT
compilation techniques