#!/bin/bash
#SBATCH --job-name=template-merge-lora
#SBATCH --ntasks=1
#SBATCH --nodes=1
#SBATCH --gres=gpu:0
#SBATCH --cpus-per-task=12
#SBATCH --time=3:00:00
#SBATCH --partition=hopper-prod
#SBATCH --output=/fsx/m4/experiments/general_logs/merge_loras/%x-%j.out


set -e

# ----------------- Auto-Workdir -----------------
if [ -n $SLURM_JOB_ID ];  then
    # check the original location through scontrol and $SLURM_JOB_ID
    SCRIPT_PATH=$(scontrol show job $SLURM_JOB_ID | awk -F= '/Command=/{print $2}')
else
    # otherwise: started with bash. Get the real location.
    SCRIPT_PATH=$(realpath $0)
fi
SCRIPT_DIR=$(dirname ${SCRIPT_PATH})
M4_REPO_PATH=$(builtin cd $SCRIPT_DIR/../../; pwd)

# --------------------------------------------------
CONDA_ENV_NAME="shared-m4"
OPT_STEP_DIR="/fsx/m4/experiments/local_experiment_dir/template_dir"
OUTPUT_DIR="/fsx/m4/experiments/local_experiment_dir/s3_async_temporary_checkpoint_folder/template_out_dir"


source /fsx/m4/start-m4-user
conda activate base
conda activate $CONDA_ENV_NAME
pushd $M4_REPO_PATH
export PYTHONPATH=$WORKING_DIR:$PYTHONPATH

python $M4_REPO_PATH/m4/scripts/merge_lora_and_save.py $OPT_STEP_DIR $OUTPUT_DIR