#SBATCH --job-name=inference | |
#SBATCH --nodes=1 | |
#SBATCH --ntasks-per-node=1 # crucial - only 1 task per dist per node! | |
#SBATCH --cpus-per-task=24 # number of cores per tasks | |
#SBATCH --hint=nomultithread # we get physical cores not logical | |
#SBATCH --gres=gpu:1 # number of gpus | |
#SBATCH --time 12:00:00 # maximum execution time (HH:MM:SS) | |
#SBATCH --output=%x-%j.out # output file name | |
#SBATCH --account=ajs@v100 | |
set -x -e | |
source $six_ALL_CCFRWORK/start-tr13f-6B3-ml-t0 | |
echo "START TIME: $(date)" | |
NUM_SAMPLES=4766203 | |
NUM_SAMPLES_PER_JOB=32909 | |
#NUM_SAMPLES_PER_JOB=128 | |
TASK_START=$((($SLURM_ARRAY_TASK_ID) * $NUM_SAMPLES_PER_JOB)) | |
TASK_END=$(($TASK_START + $NUM_SAMPLES_PER_JOB)) | |
echo "Starting task $SLURM_ARRAY_TASK_ID with start $TASK_START and end $TASK_END" | |
python inference.py --start $TASK_START --end $TASK_END | |