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#!/bin/bash
gpu_list="${CUDA_VISIBLE_DEVICES:-0}"
IFS=',' read -ra GPULIST <<< "$gpu_list"
CHUNKS=${#GPULIST[@]}
CKPT=$1
echo $CKPT
SPLIT="llava_gqa_testdev_balanced"
GQADIR="./playground/data/eval/gqa/data"
for IDX in $(seq 0 $((CHUNKS-1))); do
CUDA_VISIBLE_DEVICES=${GPULIST[$IDX]} python -m llava.eval.model_vqa_loader \
--model-path ./checkpoints_new/$CKPT \
--question-file ./playground/data/eval/gqa/$SPLIT.jsonl \
--image-folder ./playground/data/eval/gqa/data/images \
--answers-file ./playground/data/eval/gqa/answers/$SPLIT/$CKPT/${CHUNKS}_${IDX}.jsonl \
--num-chunks $CHUNKS \
--chunk-idx $IDX \
--temperature 0 \
--num_beams 3 \
--conv-mode qwen_1_5 &
done
wait
output_file=./playground/data/eval/gqa/answers/$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 $((CHUNKS-1))); do
cat ./playground/data/eval/gqa/answers/$SPLIT/$CKPT/${CHUNKS}_${IDX}.jsonl >> "$output_file"
done
python scripts/convert_gqa_for_eval.py --src $output_file --dst $GQADIR/testdev_balanced_predictions.json
cd $GQADIR
python eval/eval.py --tier testdev_balanced