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[ECCV2022] Bayesian Optimization with Cluster and Rollback for CNN Pruning
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fanhanwei/BOCR
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Open source code for our ECCV2022 accepted paper.https://link.springer.com/chapter/10.1007/978-3-031-20050-2_29
First, softlink imagenet2012 dataset to ./dataset:
ln -s PATH_to_your_local_imagenet ./dataset/imagenet
Next, check the environment requirements in requirements.txt
Finally, run the script in the base folder:
For mobilenetv1 experiments:
./mobilenetv1.sh [options]
For mobilenetv2 experiments:
./mobilenetv2.sh [options]
For resnet56 experiments:
./resnet56.sh [options]
Options include non, static, db and gb, each stands for naive BO, layer clustering, direct rollback and gradual rollback.