rethinking-network-pruning

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Some questions about ThiNet

2

Why do the thinet model which in your repo not apply the algorithm in the origin paper?Maybe I didn`t find it ?

sunggo

after network-slimming,the size of modell are the same as premodel?

4

after network-slimming,the size of modell are the same as premodel?

mk123qwe

prune mobilenetv2

8

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...

CF2220160244

updateBN

1

Hello. I got a question while reproducing your interesting experiment. In section 2 of https://arxiv.org/pdf/1708.06519.pdf, "Scaling Factors and Sparsity-induced Penalty" shows below equation.  Question: g(γ) means L1 norm, but...

wjsteve

count_flops

2

count_flops：你的flops计算的代码有问题。

kaijieshi7

about train() and eval()

4

anyone konws what the line128 model.tarin() and line 154 model.eval() in network-slimming/main.py are meant for. i did not find the defination of these two function,can i just delete them,thanks

leonzgtee

Question about predefined structured pruning

1

Hi, thanks for the great work. I have a question about the experiments in predefined structured pruning methods. I am not sure I am understanding the paper correctly. For predefined...

taoyang1122

IndexError: index 0 is out of bounds for dimension 0 with size 0

3

Dear author, I am trying to prune a resnet-56 on cifar10 using network slimming. python resprune.py --dataset cifar10 --depth 56 --percent 0.8 --model ~/results_def/resnet56/baseline/model_best.pth.tar --save ~/results_def/resnet56/pruned80/ Does this mean there...

JuanDavidG1997

size mismatch, m1: [2 x 288], m2: [8 x 120]

1

I am trying to prune simple LeNet5 model using L1-norm pruning and CIFAR10 dataset. The model has 6 kernels in the first layer and 16 in the second convolutional layer....

tejalal

IndexError: invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number

3

Traceback (most recent call last): File "main.py", line 166, in train(epoch) File "main.py", line 127, in train avg_loss += loss.data[0] IndexError: invalid index of a 0-dim tensor. Use tensor.item() to...

roshan-gopalakrishnan