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.

翻译：在本文中,我们将显示,层输入的量化比参数的参数的量化对损失功能更为重要。基于层输入量化错误的算法比基于海珊的混合精密布局算法要好。