set -e

cd ../../../../

cudaid=$1
root=$2
dataset=fs_contest_data
method=fedprox
outdir=exp_out/${method}

if [ ! -d ${outdir} ];then
  mkdir -p ${outdir}
fi

echo "HPO starts..."

lrs=(0.01 0.1 0.05 0.005 0.5)
local_updates=(1 2 4)
mus=(0.001 0.01 0.05 0.1 0.5)


for (( i=0; i<${#lrs[@]}; i++ ))
do
    for (( j=0; j<${#local_updates[@]}; j++ ))
    do
        for (( im=0; im<${#mus[@]}; im++ ))
        do
            log=${outdir}/gin_lr-${lrs[$i]}_step-${local_updates[$j]}_mu-${mus[$im]}_on_${dataset}.log
            for k in {1..3}
            do
                python federatedscope/main.py --cfg benchmark/B-FHTL/scripts/Grpah-DC/fedavg_gnn_minibatch_on_multi_task.yaml \
                data.root ${root} \
                device ${cudaid} \
                data.type ${dataset} \
                optimizer.lr ${lrs[$i]} \
                federate.local_update_steps ${local_updates[$j]} \
                fedprox.use True \
                fedprox.mu ${mus[$im]} \
                eval.metrics "['acc', 'correct' 'loss_regular']" \
                seed $k >>${log} 2>&1
            done
            python federatedscope/parse_exp_results.py --input ${log}
        done
    done
done

echo "HPO ends."