| export CUDA_VISIBLE_DEVICES=2 | |
| datasets=("cifar10" "cifar100") | |
| models=("resnet50" "wide_resnet") | |
| seeds=("2" "3" "4" "5") | |
| for dataset in "${datasets[@]}"; do | |
| for model in "${models[@]}"; do | |
| for seed in "${seeds[@]}"; do | |
| python ../smart_logitgap.py --model "$model" --dataset "$dataset" --random_seed "$seed" --run_methods "uncalibrated,TS,PTS,CTS,SMART" --train_loss "cross_entropy" | |
| done | |
| done | |
| done | |