Comments (2)
We are not reimplementing the pruning algorithm in thinet, bascially we provide the definition of the pruned model obtained by their method in their paper and train it from scratch.
from rethinking-network-pruning.
from rethinking-network-pruning.
Related Issues (20)
- Pruning strategy HOT 1
- 关于阻止已经置零的通道进行权重更新出现的问题 HOT 2
- size mismatch, m1: [2 x 288], m2: [8 x 120] HOT 1
- after network-slimming,the size of modell are the same as premodel? HOT 4
- count_flops HOT 2
- Question for Network Slimming on cifar 100 HOT 2
- IndexError: index 0 is out of bounds for dimension 0 with size 0 HOT 3
- when should I train it? HOT 4
- Question about predefined structured pruning HOT 1
- A question about the training epochs HOT 2
- Network slimming loss function HOT 2
- Cifar10 vgg19 zero remaining channel (network slimming) HOT 6
- updateBN HOT 1
- Reproduce Fig. 4 from paper HOT 1
- VGG-16 on CIFAR10 dataset architecture
- What is 'PATH TO THE MODEL' HOT 1
- VGG-16 and ResNet-50 from Pytorch Model Zoo Not found HOT 2
- Error while running l1-norm-pruning on Windows machine HOT 3
- Pretrained model for [imagenet] [slimming] not working HOT 2
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from rethinking-network-pruning.