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Ascend-Research/Reparameterization

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Official implementation of "Reparameterization through Spatial Gradient Scaling".

alt text

CIFAR-100

VGG-11

CUDA_VISIBLE_DEVICES=0 python tools/train.py -c configs/strategies/SGS/wei_cifar.yaml --model wei_vgg11_bn --dataset cifar100 --experiment cifar100_wei_vgg11_bn_nmi5 --sgs --data-path ~/datasets/CIFAR --dist-port 29500
ModelBaselinePaperThis Repo
VGG-1170.8±0.173.2±0.173.4±0.1
VGG-1674.9±0.176.2±0.176.7±0.1
ResNet-1877.8±0.178.8±0.178.6±0.1
ModelBaseline (GPUs hours)Ours (GPUs hours)
VGG-110.620.65
VGG-160.830.89
ResNet-181.021.15

ImageNet

bash tools/dist_train.sh 8 configs/strategies/SGS/resnet.yaml resnet18 --experiment imagenet_res18_sgs --sgs --data-path ~/datasets/ImageNet --dist-port 29500
ModelBaselinePaperThis Repo
ResNet-1871.13±0.0471.65±0.0571.62

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