rethinking-network-pruning
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Eric-mingjie
prune mobilenetv2
hello, @liuzhuang13 @Eric-mingjie ,have you ever do the pruning of mobilenetV2? I try to prune mobilenetV2 with several methods, it seems hard to train the pruned model to convergence in imagenet.
@CF2220160244 Could you share the code (for pruning and training from scratch) and concrete results, so we can look into possible reasons?
oh, i did not use the algorithms in your rethinking-network-pruning implement, training the unpruned mobilenetv2 need more epoches than common backbone network. training the pruned mobilenetV2 also need more epoches.
hello, @liuzhuang13 @Eric-mingjie ,have you ever do the pruning of mobilenetV2? I try to prune mobilenetV2 with several methods, it seems hard to train the pruned model to convergence in imagenet.
Hello , I am trying to pruning MobileNetV2,but I cannot find any information or papers,so I want to know ,what is the effect of the pruning, is it feasible, does the accuracy make a big difference?
@CF2220160244 @luluvi Hi~You can check the code here. I will finish the introduction of how to prune MobilenetV2 when I have time.
Thank's a lot for charing, did you try on the imagnet dataset? The link seems not to specify the dataset and I would be interested to find results for channel pruning of MobilnetV2 on imagenet.
@CF2220160244 @luluvi Hi, I apply the network-slimming approach on mobilenetv2 MobileNet-v2-pruning. The code is in pytorch and organized like this project. I hope this could help.
@wlguan Hi , how much does the inference time decrease after your pruning ? any statistics ?
