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weiaicunzai / pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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shufflenet的模型定义这里是不是不太对？

SoufSilence opened this issue · comments

commented

pytorch-cifar100/models/shufflenet.py

Line 98 in 2149cb5

groups=groups

根据shufflenet的论文，shufflenet第二级的首个bottleneck层不应该是分组卷积，但是从这里的代码看，作者应该是分组了。是不是不太对？