run_smallnet3_10s-recall_gwdg-medium_cpu

#!/bin/bash
#SBATCH -J smallnet
#SBATCH -t 48:00:00
#SBATCH -p medium
#SBATCH -n 1
#SBATCH -c 1
#~
#SBATCH -o out/%J_out
#SBATCH -o out/%J_err
#--SBATCH --qos=long
#--SBATCH -C scratch2
#SBATCH -C cascadelake

# prepare environment
module load anaconda3/2021.05
source activate myenv_arbor
#~

# build necessary catalogue (also sets the environment to run custom Arbor installation)
source build_catalogue

# gather job information
add_info="Job ID: ${SLURM_JOB_ID}; partition: ${SLURM_JOB_PARTITION}; num. nodes: ${SLURM_JOB_NUM_NODES}; num. CPUs: ${SLURM_JOB_CPUS_PER_NODE}"

# run the simulation with standard parameters
python3 ./arborNetworkConsolidation.py -s_desc="smallnet3 det, dt=0.2ms, 10s, with recall, ${SLURM_JOB_PARTITION} CPU" -runtime=25 -dt=0.2 -learn='{"time_start": 10, "scheme": "TRIPLET", "freq": 100, "N_stim": 25}' -recall='{"time_start": 20, "scheme": "ONEPULSE", "freq": 100, "N_stim": 25}' -config_file="config_smallnet3_det.json" -sample_curr=0
# -platform="CPU" -add_info="${add_info}"

conda deactivate