set -e

# Run: bash benchmark/FedHPOBench/scripts/cnn/run_hpo_dp_femnist_48.sh 0 0.0 1 16

# wds=(0.0 0.001 0.01 0.1)
# steps=(1 2 3 4)
# batch_sizes=(16 32 64)

cudaid=$1
wd=$2
step=$3
batch_size=$4

dataset=femnist

out_dir=out_${dataset}

echo "HPO starts..."

lrs=(0.01 0.01668 0.02783 0.04642 0.07743 0.12915 0.21544 0.35938 0.59948 1.0)
dps=(0.0 0.5)
sample_rates=(1.0)

for ((l = 0; l < ${#lrs[@]}; l++)); do
  for ((d = 0; d < ${#dps[@]}; d++)); do
    for ((s = 0; s < ${#sample_rates[@]}; s++)); do
      for k in {1..3}; do
        python federatedscope/main.py --cfg benchmark/FedHPOBench/scripts/cnn/${dataset}_dp.yaml \
        device $cudaid train.optimizer.lr ${lrs[$l]} \
        train.optimizer.weight_decay ${wd} \
        model.dropout ${dps[$d]} train.local_update_steps ${step} \
        data.batch_size ${batch_size} \
        federate.sample_client_rate ${sample_rates[$s]} seed $k \
        outdir ${out_dir}_${sample_rates[$s]} \
        expname lr${lrs[$l]}_wd${wd}_dropout${dps[$d]}_step${step}_batch${batch_size}_seed${k} >/dev/null 2>&1
      done
    done
  done
done

echo "HPO ends."