CapProNet-Pytorch
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The script to run resnet (pre-activation)?
Thanks for sharing of your wonderful work.
I tried the following script to run experiment with resnet (pre-activation):
python main.py data_dir --dataset cifar10 --arch preresnet164 --save_path ./test --epochs 200 --schedule 60 120 160 --gammas 0.2 0.2 0.2 --learning_rate 0.1 --decay 0.0001 --batch_size 128 --Ddim 4
The best test error is 6.44% (mean of 3 runs), worse than the reported 4.88% in the paper, also worse than the resnet baseline as 5.46%.
Training original resnet (pre-activation) with the same configuration achieves a best test error as 5.4%, better than reported 5.46%.
Is there any mistake in my script?