| #SBATCH --job-name=evaluate_model # create a short name for your job | |
| #SBATCH --nodes=1 # node count | |
| #SBATCH --ntasks-per-node=1 # number of tasks to run per node | |
| #SBATCH --cpus-per-task=5 # cpu-cores per task (>1 if multi-threaded tasks) | |
| #SBATCH --gres=gpu:1 # number of gpus per node | |
| #SBATCH -o inference_log/%x-%j.log # output and error log file names (%x for job id) | |
| #SBATCH -p batch | |
| #SBATCH --qos=ai4cogsys | |
| export SCRIPT_PATH=./evaluate_model.py | |
| MODEL_PATH='' | |
| srun python $SCRIPT_PATH $MODEL_PATH |