| #SBATCH --nodelist=hpc-gpu-01 | |
| #SBATCH --partition=gpu-short # Specify the CPU partition | |
| #SBATCH --nodes=1 | |
| #SBATCH --gres=gpu:tesla:1 | |
| #SBATCH --mem-per-cpu=8000 | |
| #SBATCH --job-name=6Prox# Specify the job name | |
| #SBATCH --output=../logs/6Prox_output.log | |
| #SBATCH --error=../logs/6Prox_error.log | |
| cd ../Flower_federated | |
| # Request specific CPU node | |
| echo "run started $2 $3" | |
| if [ "$1" == 0 ]; then | |
| srun -p gpu -n 1 --gres=gpu:tesla:1 --mem-per-gpu=6000 ~/miniconda3/envs/final_test_env/bin/python server.py $2 $3 $4 $5 $6 $7 $8 $9 | |
| # Run clients on the specified CPU node | |
| elif [ "$1" == 1 ]; then | |
| srun -p gpu -n 1 --gres=gpu:tesla:1 --mem-per-gpu=6000 ~/miniconda3/envs/final_test_env/bin/python client_1.py $2 $3 $4 $5 $6 $7 $8 $9 | |
| elif [ "$1" == 2 ]; then | |
| srun -p gpu -n 1 --gres=gpu:tesla:1 --mem-per-gpu=6000 ~/miniconda3/envs/final_test_env/bin/python client_2.py $2 $3 $4 $5 $6 $7 $8 $9 | |
| fi | |