XLA: TensorFlow, Compiled! (TensorFlow Dev Summit 2017)
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:
Subscribe to the Google Developers channel at
Visit the TensorFlow website for all session recordings:
Subscribe to the Google Developers channel at
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