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Batch Normalization을 위한 향상된 Hardware 친화적 Quantization 기법
제현승(Hyeonseung Je),이혁재(Hyuk-Jae Lee),이규중(Kyujoong Lee) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8
In this paper, a hardware friendly quantization for batch normalization is proposed. The previous quantization that batch normalization scale is folded into weight value is not compatible with general fixed bit multiplication hardware because the extension of the weight range causes inaccurate quantized value. In the proposed method, only weight values are quantized and the scale factors of weight quantization are folded into batch normalization so that the range of weights is not enlarged. As a result, the pixel accuracy is improved from 94.96% to 95.00% and the SQNR(Signal to Quantization Noise Ratio) for weights is also improved.