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Weighted-Entropy-based Quantization for Deep Neural Networks
時間 2020-12-24
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本文提出了一種綜合考慮權重的重要性和頻率來進行量化的方式。它與其它量化方式的對比: 作者首先定義了被稱爲權重熵的變量: 這裏Pn代表了權重的頻率,In代表了它的重要性。作者設定了n個量化簇(cluster),i(n,m)是計算第n個簇的第m個權重的重要性的函數,作者這裏簡單地選擇了平方函數。 上圖是權重量化的僞代碼:首先用平方函數計算每個權重的重要性,然後從小到大對其排序,並將它們均勻分爲n個間隔
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