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Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).

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First, I appreciate your insightful work. But when runing the code `python calculate_ci.py --arch resnet_56 --repeat 5 --num_layers 55`, I encounter the following error: > Traceback (most recent call last):...

你好,我使用您的代码cal_flops_params.py测试VGG-16未剪枝前的网络计算量和参数量,得到的结果:314.572M(FLOPs)、14.992M(Params),但是您在论文的结果是:313.73MM(FLOPs)、14.98M(Params),想请教下关于结果差距的原因?

First of all, I appreciate your great work.  As far as I know, generally, resnet_56 for the CIFAR10 dataset is composed of bottleneck blocks. However, the resnet_56 model in this...