This project forked from onion-rain/mcts
本科毕设
network slimming(vgg, resnet_cs)
MetaPurne(resnet, mobilenetv2)
TODO 没法保存完整模型：或者说是保存的完整模型无法加载，判断应该是保存的问题。
TODO 中途resume断点续练无法完全复现：完全没头绪，不就两个东西一个model state dict一个optimizer state dict吗。
TODO 打算把第一个bug解决了直接保存完整模型，弃用cfg重构模型那套方案。
TODO imagenet训练mobilenetv2精度好低。。resnet也比tv里的pth低近3个百分点：超参调一遍训练好久。。。爷吐了。
TODO 舍弃config类直接传args，历史遗留问题。。重构代价有点大，以后有时间再搞
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