Automating Generation of Low Precision Deep Learning Operators

25 Oct 2018Meghan CowanThierry MoreauTianqi ChenLuis Ceze

State of the art deep learning models have made steady progress in the fields of computer vision and natural language processing, at the expense of growing model sizes and computational complexity. Deploying these models on low power and mobile devices poses a challenge due to their limited compute capabilities and strict energy budgets... (read more)

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