I've runned your project,But I cannot get the results that your claimed.could you give me some tips?

[gogo03]

resnet34 results can be shown: python train.py --seed=24 --scale=5 --optimizer=sgd --fast_auto_augment=True ......... [+] Training step: 62000/64000 Training epoch: 0/351 Elapsed time: 318.71min Learning rate: 0.0011729701340847298 Acc@1 : 88.281% Acc@5 : 99.219% Loss : 0.3259652554988861 FW Time : 104.842ms BW Time : 152.699ms

[+] Valid results Acc@1 : 91.840% Acc@5 : 99.880% Loss : 1.2543833255767822

I also test resnet20. with fast-automentation: valid Acc@1:92.18% without fast-automentaion valid:Acc@1:92.2% Pre-policies..........................................................92.4%

and I download found-policies,It has 80 subpolices. But I use you project,It only generated 8 subpolices to random choice. the generated 8 subpolices is like the following. RandomChoice( Compose( Pad(padding=4, fill=0, padding_mode=constant) RandomCrop(size=(32, 32), padding=None) RandomHorizontalFlip(p=0.5) Contrast(prob=0.76, magnitude=0.20) ShearXY(prob=0.91, magnitude=0.54) ToTensor() ) Compose( Pad(padding=4, fill=0, padding_mode=constant) RandomCrop(size=(32, 32), padding=None) RandomHorizontalFlip(p=0.5) Contrast(prob=0.75, magnitude=0.54) Posterize(prob=0.70, magnitude=0.63) ToTensor() ) Compose( Pad(padding=4, fill=0, padding_mode=constant) RandomCrop(size=(32, 32), padding=None) RandomHorizontalFlip(p=0.5) Sharpness(prob=0.19, magnitude=0.90) Brightness(prob=0.22, magnitude=0.92) ToTensor() ) Compose( Pad(padding=4, fill=0, padding_mode=constant) RandomCrop(size=(32, 32), padding=None) RandomHorizontalFlip(p=0.5) Brightness(prob=0.09, magnitude=0.28) TranslateXY(prob=0.38, magnitude=0.16) ToTensor() ) Compose( Pad(padding=4, fill=0, padding_mode=constant) RandomCrop(size=(32, 32), padding=None) RandomHorizontalFlip(p=0.5) Contrast(prob=0.29, magnitude=0.31) Color(prob=0.57, magnitude=0.39) ToTensor() ) Compose( Pad(padding=4, fill=0, padding_mode=constant) RandomCrop(size=(32, 32), padding=None) RandomHorizontalFlip(p=0.5) Color(prob=0.64, magnitude=0.66) Sharpness(prob=0.69, magnitude=0.87) ToTensor() ) Compose( Pad(padding=4, fill=0, padding_mode=constant) RandomCrop(size=(32, 32), padding=None) RandomHorizontalFlip(p=0.5) Equalize(prob=0.48, magnitude=0.84) Brightness(prob=0.76, magnitude=0.00) ToTensor() ) Compose( Pad(padding=4, fill=0, padding_mode=constant) RandomCrop(size=(32, 32), padding=None) RandomHorizontalFlip(p=0.5) Equalize(prob=0.33, magnitude=0.21) AutoContrast(prob=0.50, magnitude=0.86) ToTensor() ) )