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#!/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
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