scripts/run_minigpt_attack.sh

set -x

MODEL=minigpt4
ATTACK_MODE=constrained
SAFETY_PATCH_MODE=optimized
GPU_ID=2


for ATTACK_MODE in qna; do

  INFERENCE_FILE="outputs/${MODEL}/inference_${MODEL}_attack_${ATTACK_MODE}"
  METRIC_FILE="outputs/${MODEL}/metric_${MODEL}_attack_${ATTACK_MODE}"
  SUMMARY_FILE="outputs/${MODEL}/summary_${MODEL}_attack_${ATTACK_MODE}"

   if [ "${ATTACK_MODE}" = "constrained" ]; then
     echo "Running constrained"
     python minigpt_constrained_inference.py --gpu-id ${GPU_ID} \
     --output_file ${INFERENCE_FILE} \
     --do_attack

   elif [ "${ATTACK_MODE}" = "unconstrained" ]; then
     echo "Running unconstrained"
     python minigpt_unconstrained_inference.py --gpu-id ${GPU_ID} \
     --output_file ${INFERENCE_FILE} \
     --do_attack

   elif [ "${ATTACK_MODE}" = "qna" ]; then
     echo "Running qna"
     python minigpt_qna.py --gpu-id ${GPU_ID} \
       --output_file ${INFERENCE_FILE} \
       --do_attack

   else
     echo "Wrong Implementation"
     exit 1
   fi

  CUDA_VISIBLE_DEVICES=${GPU_ID} python get_metric.py --input ${INFERENCE_FILE} \
    --output ${METRIC_FILE} \
    --perplexity ${SUMMARY_FILE} \
    --device cuda

  python cal_metrics.py --input ${METRIC_FILE} \
    --output ${SUMMARY_FILE}

done