#!/bin/bash

# custom config
DATA=/data/jhbang/coop/data
TRAINER=CoOp

DATASET=$1
CFG=$2  # config file
CTP=$3  # class token position (end or middle)
NCTX=$4  # number of context tokens
SHOTS=$5  # number of shots (1, 2, 4, 8, 16)
CSC=$6  # class-specific context (False or True)

for SHOTS in 4 8
do
    for SEED in 1 2 3
    do
        DIR=output/${DATASET}/${TRAINER}/${CFG}_${SHOTS}shots/nctx${NCTX}_csc${CSC}_ctp${CTP}/seed${SEED}
        if [ -d "$DIR" ]; then
            echo "Oops! The results exist at ${DIR} (so skip this job)"
        else
            python train.py \
            --root ${DATA} \
            --seed ${SEED} \
            --trainer ${TRAINER} \
            --dataset-config-file configs/datasets/${DATASET}.yaml \
            --config-file configs/trainers/${TRAINER}/${CFG}.yaml \
            --output-dir ${DIR} \
            TRAINER.COOP.N_CTX ${NCTX} \
            TRAINER.COOP.CSC ${CSC} \
            TRAINER.COOP.CLASS_TOKEN_POSITION ${CTP} \
            DATASET.NUM_SHOTS ${SHOTS}
        fi
    done
done