run_unit_tests.sh

#!/usr/bin/env bash

# # Check Models
# for attack in fglinf
# do
#     for family in 0
#     do
#         for dataset in 0 
#         do
#             for model in 0 1
#             do
#                 python -u code/run_attack.py $attack -f $family -d $dataset -m $model --samples 1 --epochs 2 -v 
#             done
#         done
#     done

#     for family in 1
#     do
#         for dataset in 0
#         do
#             for model in 1 2 3 4 5 6 7
#             do
#                 python -u code/run_attack.py $attack -f $family -d $dataset -m $model --samples 1 --epochs 2 -v
#             done
#         done
#     done
# done

#Check Our Attacks
for attack in pixel threshold 
do
    for es in 1 0
    do
        for family in 0
        do
            for dataset in 0
            do
                for model in 0
                do
                    python -u code/run_attack.py $attack -e $es -f $family -d $dataset -m $model --samples 1 --epochs 1 -th 64 -v 
                done
            done
        done

        for family in 1
        do
            for dataset in 0
            do
                for model in 1
                do
                    python -u code/run_attack.py $attack -e $es -f $family -d $dataset -m $model --samples 1 --epochs 1 -th 64 -v
                done
            done
        done
    done
done

# #Check Other Attacks
# for attack in bilinf pgdlinf deep newton
# do
#         for family in 0
#         do
#             for dataset in 0
#             do
#                 for model in 0
#                 do
#                     python -u code/run_attack.py $attack -f $family -d $dataset -m $model --samples 1 --epochs 2 -v 
#                 done
#             done
#         done

#         for family in 1
#         do
#             for dataset in 0
#             do
#                 for model in 1
#                 do
#                     python -u code/run_attack.py $attack -f $family -d $dataset -m $model --samples 1 --epochs 2 -v
#                 done
#             done
#         done
# done