jobs/training_3_dist_to_quarks.slurm

#!/bin/bash
#SBATCH --job-name="SVJtr3"
#SBATCH --time=00:20:00
#SBATCH --nodes=1
#SBATCH --gres=gpu:1
#SBATCH --ntasks-per-core=1
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=2
#SBATCH --partition=gpu
#SBATCH --mem=25GB
#SBATCH --output=jobs/training_3_out.log
#SBATCH --error=jobs/training_3_err.log

source env.sh
export APPTAINER_TMPDIR=/work/gkrzmanc/singularity_tmp
export APPTAINER_CACHEDIR=/work/gkrzmanc/singularity_cache
nvidia-smi
srun singularity exec -B /t3home/gkrzmanc/ -B /work/gkrzmanc/ --nv docker://gkrz/lgatr:v3  python -m src.train -train scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-900_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-2000 -val scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-900_mDark-20_rinv-0.3 -net src/models/LGATr/lgatr.py -bs 64 --gpus 0 --run-name debug --val-dataset-size 1024 --num-epochs 1000 --attr-loss-weight 0.1 --coord-loss-weight 0.1 --beta-type pt+bc --spatial-part-only --loss quark_distance

# sbatch jobs/training_3_dist_to_quarks.slurm