File size: 3,121 Bytes
de32117 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | #!/bin/bash
#SBATCH --job-name=collect_0_3
#SBATCH --partition=day
#SBATCH -o data/carla_leaderboard2_py123d/stdout/0_3.log
#SBATCH -e data/carla_leaderboard2_py123d/stderr/0_3.log
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=2
#SBATCH --mem=40gb
#SBATCH --time=0-03:00:00
#SBATCH --gres=gpu:1080ti:1
echo "SLURMD_NODENAME: $SLURMD_NODENAME"
echo "SLURM_JOB_ID: $SLURM_JOB_ID"
echo "SLURM_JOB_NODELIST: $SLURM_JOB_NODELIST"
scontrol show job $SLURM_JOB_ID
export FREE_STREAMING_PORT=$(random_free_port.sh)
export FREE_WORLD_PORT=$(random_free_port.sh)
export TM_PORT=$(random_free_port.sh)
sleep 2
echo "start python"
which python
which python3
pwd
export SCENARIO_RUNNER_ROOT=/mnt/beegfs/home/nguyen/lead/3rd_party/scenario_runner_autopilot
export LEADERBOARD_ROOT=/mnt/beegfs/home/nguyen/lead/3rd_party/leaderboard_autopilot
# carla
export CARLA_ROOT=/mnt/beegfs/home/nguyen/lead/3rd_party/CARLA_0915
export CARLA_SERVER=/mnt/beegfs/home/nguyen/lead/3rd_party/CARLA_0915/CarlaUE4.sh
export PYTHONPATH=/mnt/beegfs/home/nguyen/lead/3rd_party/CARLA_0915/PythonAPI/carla:$PYTHONPATH
export PYTHONPATH=3rd_party/leaderboard_autopilot:$PYTHONPATH
export PYTHONPATH=3rd_party/scenario_runner_autopilot:$PYTHONPATH
export REPETITIONS=1
export DEBUG_CHALLENGE=0
export TEAM_AGENT=/mnt/beegfs/home/nguyen/lead/lead/expert/expert_py123d.py
export CHALLENGE_TRACK_CODENAME=MAP
export ROUTES=data/data_routes/50x36_Town13/ParkingExit/0_3.xml
export TOWN=Town13
export REPETITION=0
export TM_SEED=182
export SCENARIO_NAME=ParkingExit
export CHECKPOINT_ENDPOINT=/mnt/beegfs/home/nguyen/lead/data/carla_leaderboard2_py123d/results/ParkingExit/0_3_result.json
export TEAM_CONFIG=data/data_routes/50x36_Town13/ParkingExit/0_3.xml
export RESUME=1
export DATAGEN=1
export SAVE_PATH=/mnt/beegfs/home/nguyen/lead/data/carla_leaderboard2_py123d/data/ParkingExit
echo "Start python"
echo "FREE_STREAMING_PORT: $FREE_STREAMING_PORT"
echo "FREE_WORLD_PORT: $FREE_WORLD_PORT"
echo "TM_PORT: $TM_PORT"
bash /mnt/beegfs/home/nguyen/lead/3rd_party/CARLA_0915/CarlaUE4.sh --world-port=$FREE_WORLD_PORT -RenderOffScreen -nosound -graphicsadapter=0 -carla-streaming-port=$FREE_STREAMING_PORT &
sleep 180
eval "$(conda shell.bash hook)"
if [ -z "$CONDA_INTERPRETER" ]; then
export CONDA_INTERPRETER="lead" # Check if CONDA_INTERPRETER is not set, then set it to lead
fi
source activate "$CONDA_INTERPRETER"
which python3
export PY123D_DATA_ROOT="data/carla_leaderboard2_py123d/"
export LEAD_EXPERT_CONFIG="target_dataset=6 py123d_data_format=true use_radars=false lidar_stack_size=2 save_only_non_ground_lidar=false save_lidar_only_inside_bev=false"
python 3rd_party/leaderboard_autopilot/leaderboard/leaderboard_evaluator_local.py --port=${FREE_WORLD_PORT} --traffic-manager-port=${TM_PORT} --traffic-manager-seed=${TM_SEED} --routes=${ROUTES} --repetitions=${REPETITIONS} --track=${CHALLENGE_TRACK_CODENAME} --checkpoint=${CHECKPOINT_ENDPOINT} --agent=${TEAM_AGENT} --agent-config=${TEAM_CONFIG} --debug=0 --resume=${RESUME} --timeout=600
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