论文阅读——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference,程序员大本营,技术文章内容聚合第一站。
论文题目-Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference(量化和训练神经网络以实现高效的整数运算推理) 作者单位:Google 谷歌,发表在CVPR2018 论文地址: C…
2,quantization aware training 论文:Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference quantization aware training技术来源于上面这篇论文,现在在tensorflow和pytorch中都提供了相应的接口。 作者在本文中提供了一种将float32量化到int8的策略,并给出了一个推断框架和训练框架,...
纯整数矩阵乘 Integer-arithmetic-only matrix multiplication 通过量化模式(公式(1))可以得到实数转量化值的方法:q=r/S+Z,但是这里的S是浮点数,得到的q也是浮点数,如何进行量化推理呢?作者提出的解决方案如下。 假设使用两个N * N大小的浮点数矩阵r1,r2,计算其乘数r3,量化参数(已知)为(S_α, Z_α),α =...
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference,程序员大本营,技术文章内容聚合第一站。
2,Integer-arithmetic-only matrix multiplication 对于两个浮点数矩阵之间的运算,可以全部转换成整数运算,公式如下: 在上面的式子中只有M是一个浮点数,所以这里会有一个浮点运算,作者在这里好像为了避开浮点运算,做了下面一个操作,但没怎么看懂,有兴趣的可以自己。
2,Integer-arithmetic-only matrix multiplication 对于两个浮点数矩阵之间的运算,可以全部转换成整数运算,公式如下: 在上面的式子中只有M是一个浮点数,所以这里会有一个浮点运算,作者在这里好像为了避开浮点运算,做了下面一个操作,但没怎么看懂,有兴趣的可以自己。
quantization recognition training and performing Integer-Arithmetic-Only CNN reconstruction, and FPGA (Programmable Logic; PL) and CPU (Processing) of heterogeneous System on Chip (SoC) platforms and performing real-time facial emotion recognition using the integer-arithmetic CNN in a System; PS) ...
compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning:...
Based of paper "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference" - ArtyZe/yolo_quantization