CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/gaussian_noise/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/shot_noise/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/impulse_noise/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&

CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/defocus_blur/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/glass_blur/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/motion_blur/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/zoom_blur/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&

CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/snow/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/frost/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/fog/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/brightness/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&

CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/contrast/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/elastic_transform/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/pixelate/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3 &&
CUDA_VISIBLE_DEVICES=$1 python train_dwt_tta_se_lifelong_setting.py $6/jpeg_compression/5 --dwt-kernel-size 3 3 3 --dwt_level 2 2 2 --dwt_bn 1 321 0 --model resnet50_dwt_se --lr 0.05 --epochs 1 --sched cosine -b 128 -j 5 --val-split val --input-size 3 224 224 --output $4 --num-classes 1000 --experiment TEST --no-prefetcher --resume $5 --ada 1 --lbatch $2 --seed $3
