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batch_benchmark_env[fp]_agents[ada_r_0]_model[region].batch
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#!/bin/bash
#
#SBATCH --job-name=fp_0
#SBATCH --output=out.txt
#SBATCH --error=out.txt
## For partition: either prod10, prod 20, prod 40 or prod80
## For gres: either 1g.10gb:[1:10] for prod10, 2g.20gb:[1:4] for prod20, 3g.40gb:1 for prod40 or A100.80gb for prod80.
##SBATCH --partition=prod10
##SBATCH --gres=gpu:1g.10gb:1
##SBATCH --cpus-per-task=4
#SBATCH --partition=prod20
#SBATCH --gres=gpu:2g.20gb:1
#SBATCH --cpus-per-task=4
##SBATCH --partition=prod40
##SBATCH --gres=gpu:3g.40gb:1
##SBATCH --cpus-per-task=4
##SBATCH --partition=prod80
##SBATCH --gres=gpu:A100.80gb:1
##SBATCH --ntasks-per-node=1
##SBATCH --cpus-per-task=8
##SBATCH --mem-per-cpu=10G
##SBATCH --nodes=1
## For ntasks and cpus: total requested cpus (ntasks * cpus-per-task) must be in [1: 4 * nMIG] with nMIG = nb_1g.10gb | 2 * nb_2g.20gb | 4 * nb_3g.40gb | 8 * nb_A100.80gb
## N tasks
#SBATCH --ntasks=1
## Walltime limit
#SBATCH --time=24:00:00
## Setup
source ~/projects/EcoJAX/venv_linux/bin/activate
cd ~/projects/EcoJAX
## Create a directory to store the logs
initial_date=$(date +"%Y%m%d_%H%M%S")
## Iterate over the seeds
seed_max=100
benchmark_name='bench5_fp_0'
for _ in $(seq 1 $seed_max); do
seed=$RANDOM
for p_base_fruit_growth in 0.0065 0.008 0.01; do
for variability_fruits in "[0.1,0.1,0.1,0.1]" "[0.5,0.5,0.5,0.5]" "[1,1,1,1]" "[0,0.1,0.5,1]" "[0,1,1,1]" "[0,0,0,1]"; do
variability_fruits_repr=$(echo $variability_fruits | sed 's/\[//g; s/\]//g')
run_name="run_$benchmark_name-$initial_date/p_base_fruit_growth_$p_base_fruit_growth/variability_fruits_$variability_fruits_repr/seed_$seed"
log_dir="logs/$run_name"
echo "Running $log_dir"
mkdir -p "$log_dir"
python run.py --config-name dgx do_wandb=True env/metrics=metrics_dgx +benchmark_name=$benchmark_name seed=$seed +run_name=\'$run_name\' \
agents=ada_r_0 \
model=region \
env=fruits_plants \
agents.do_include_id_fruit=True \
env.mode_variability_fruits=space \
env.p_base_fruit_growth=$p_base_fruit_growth \
env.variability_fruits="$variability_fruits" \
model.mlp_region_config.hidden_dims=[] \
model.mlp_config.hidden_dims=[10]
# > "$log_dir"/log.txt 2>&1
done
done
done