A pytorch implementation of DoReFa-Net
A pytorch implementation of dorefa quantization
implement of DoReFaNet with tensorflow based on cifar10 dataset
BNNs (XNOR, BNN and DoReFa) implementation for PyTorch 1.0+
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Ari...
翻译 - 基于pytorch的模型压缩(1,量化:8/4 / 2bits(dorefa),三进制/二进制值(twn / bnn / xnornet); 2,修剪:常规,常规和组卷积通道修剪; 3,组卷积结构; 4,特征(A)的二进制值的分批归一化折叠)
base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc
caffe实现的dorefa,按照tensorflow 理解的本版。
dorefanet-pytorch 구현
Dorefa、Pact quantization