论文标题
图层输入中的量化很重要
Quantization in Layer's Input is Matter
论文作者
论文摘要
在本文中，我们将表明，层输入中的量化比参数的损失函数的量化更为重要。并且基于该层的输入量化误差的算法比基于Hessian的混合精度布局算法更好。
In this paper, we will show that the quantization in layer's input is more important than parameters' quantization for loss function. And the algorithm which is based on the layer's input quantization error is better than hessian-based mixed precision layout algorithm.
