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#!/bin/bash
# SPLIT="mmbench_dev_20230712"
# python -m llava.eval.model_vqa_mmbench \
# --model-path liuhaotian/llava-v1.5-13b \
# --question-file ./playground/data/eval/mmbench/$SPLIT.tsv \
# --answers-file ./playground/data/eval/mmbench/answers/$SPLIT/llava-v1.5-13b.jsonl \
# --single-pred-prompt \
# --temperature 0 \
# --conv-mode vicuna_v1
gpu_list="${CUDA_VISIBLE_DEVICES:-0}"
IFS=',' read -ra GPULIST <<< "$gpu_list"
CHUNKS=${#GPULIST[@]}
CKPT=$1
echo $CKPT
SPLIT="mmbench_dev_20230712"
for IDX in $(seq 0 $((CHUNKS-1))); do
CUDA_VISIBLE_DEVICES=${GPULIST[$IDX]} python -m llava.eval.model_vqa_mmbench \
--model-path ./checkpoints_new/$CKPT \
--question-file ./playground/data/eval/mmbench/$SPLIT.tsv \
--answers-file ./playground/data/eval/mmbench/answers/$SPLIT/$CKPT/${CHUNKS}_${IDX}.jsonl \
--num-chunks $CHUNKS \
--chunk-idx $IDX \
--temperature 0 \
--single-pred-prompt \
--num_beams 1 \
--conv-mode vicuna_v1 &
done
wait
output_file=./playground/data/eval/mmbench/answers/$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 $((CHUNKS-1))); do
cat ./playground/data/eval/mmbench/answers/$SPLIT/$CKPT/${CHUNKS}_${IDX}.jsonl >> "$output_file"
done
mkdir -p playground/data/eval/mmbench/answers_upload/$SPLIT
python scripts/convert_mmbench_for_submission.py \
--annotation-file ./playground/data/eval/mmbench/$SPLIT.tsv \
--result-dir ./playground/data/eval/mmbench/answers/$SPLIT/$CKPT \
--upload-dir ./playground/data/eval/mmbench/answers_upload/$SPLIT \
--experiment merge