pytorch-quantize-demo
Forked from https://github.com/kuangliu/pytorch-cifar
python==3.7
pytorch==1.5
easydict
pillow
建议使用conda工具进行安装，安装好conda之后，执行
conda activate base
conda install pytorch torchvision torchaudio cudatoolkit=10.1 -c pytorch
conda install pillow
pip install easydict
执行python tools/train.py
默认位300个epoch，训练结束之后，网络权重保存在./checkpoint/fp_ckpt.pkl
执行 python tools/static_quantize.py
会将量化的权重保存在./checkpoint/qat_ckpt.pth
为了方便使用，还输出了中间变量和量化后的权重到quant_data.pkl
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