666DZY666 / micronet

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-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
MIT License
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有一些做定点化的论文推荐阅读吗?非常感谢! #2

Open mjc14 opened 4 years ago

666DZY666 commented 4 years ago

后续会补充参考论文和工程; (针对INT8量化Nvidia和Google的方法很不错,这个后续参考链接也会给出并尝试代码实现加入到这个库中)

mjc14 commented 4 years ago

期待

666DZY666 commented 4 years ago

参考论文及代码均已补充