학술논문

Quantization in Layer's Input is Matter
Document Type
Working Paper
Source
Subject
Computer Science - Machine Learning
Language
Abstract
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.