#!/bin/bash
#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=3290900
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_java.py --start $TASK_START --end $TASK_END