export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7" | |
gpu_list="${CUDA_VISIBLE_DEVICES:-0}" | |
IFS=',' read -ra GPULIST <<< "$gpu_list" | |
CHUNKS=${#GPULIST[@]} | |
echo "CHUNKS: $CHUNKS" | |
CKPT="voco_llava" | |
SPLIT="llava_vqav2_mscoco_test-dev2015" | |
for IDX in $(seq 0 $((CHUNKS-1))); do | |
CUDA_VISIBLE_DEVICES=${GPULIST[$IDX]} python -m llava.eval.model_vqa_loader \ | |
--model-path ./checkpoints/voco_llava_ckpt \ | |
--question-file ./playground/data/eval/vqav2/$SPLIT.jsonl \ | |
--image-folder ./playground/data/eval/vqav2/test2015 \ | |
--answers-file ./playground/data/eval/vqav2/answers/$SPLIT/$CKPT/${CHUNKS}_${IDX}.jsonl \ | |
--voco_num 2 \ | |
--num-chunks $CHUNKS \ | |
--chunk-idx $IDX \ | |
--temperature 0 \ | |
--conv-mode vicuna_v1 & | |
done | |
wait | |
output_file=./playground/data/eval/vqav2/answers/$SPLIT/$CKPT/merge.jsonl | |
# Clear out the output file if it exists. | |
> "$output_file" | |
# Loop through the indices and concatenate each file. | |
for IDX in $(seq 0 $((CHUNKS-1))); do | |
cat ./playground/data/eval/vqav2/answers/$SPLIT/$CKPT/${CHUNKS}_${IDX}.jsonl >> "$output_file" | |
done | |
python scripts/convert_vqav2_for_submission.py --split $SPLIT --ckpt $CKPT | |
# CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 bash scripts/eval/vqav2.sh |