#!/bin/bash

set -e

gpu_list="${CUDA_VISIBLE_DEVICES:-0}"
IFS=',' read -ra GPULIST <<< "$gpu_list"

CHUNKS=${#GPULIST[@]}

RAW_CKPT=$1
CKPT=$(echo $RAW_CKPT | cut -d "/" -f 2)

for IDX in $(seq 0 $((CHUNKS-1))); do
    CUDA_VISIBLE_DEVICES=${GPULIST[$IDX]} python -m dualfocus.eval.model_vqa_textvqa \
        --model-path $RAW_CKPT \
        --model-base lmsys/vicuna-7b-v1.5 \
        --question-file ./playground/data/eval/textvqa/llava_textvqa_val_v051_ocr.jsonl \
        --image-folder ./playground/data/eval/textvqa/train_images \
        --answers-file ./playground/data/eval/textvqa/answers/$CKPT/${CHUNKS}_${IDX}.jsonl \
        --num-chunks $CHUNKS \
        --chunk-idx $IDX \
        --temperature 0 \
        --conv-mode vicuna_v1 &
done

wait

output_file=./playground/data/eval/textvqa/answers/$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 $((CHUNKS-1))); do
    cat ./playground/data/eval/textvqa/answers/$CKPT/${CHUNKS}_${IDX}.jsonl >> "$output_file"
done

python -m llava.eval.eval_textvqa \
    --annotation-file ./playground/data/eval/textvqa/TextVQA_0.5.1_val.json \
    --result-file $output_file
