Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization

European Conference on Computer Vision(2020)

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摘要
Emergent hardwares can support mixed precision CNN models inference that assign different bitwidths for different layers. Learning to find an optimal mixed precision model that can preserve accuracy and satisfy the specific constraints on model size and computation is extremely challenge due to the difficult in training a mixed precision model and the huge space of all possible bit quantizations.
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关键词
Mixed precision quantization,NAS,Optimization problem with constraint,Soft barrier penalty
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