...
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#!/bin/bash
#SBATCH --job-name=carla_server
#SBATCH --gpus=1
#SBATCH --gpus-per-node=1
#SBATCH --constraint=gtx1080ti
#SBATCH --mem=50G
#SBATCH --cpus-per-task=4
#SBATCH --time=01:00:00
module load singularity
export DISPLAY=
# set image path to where your image is located
export IMAGE=/ibex/scratch/shaima0d/tickets/37094/carla_0.9.5.sif
#Setting the port is optional. Set it if another user process is using the default 2000 and 2001 ports.
export HOST=$(/bin/hostname)
export PORT=11011
echo "Starting Carla server on $HOST:$PORT" > server_info.${SLURM_JOBID}.txt
SINGULARITYENV_SDL_VIDEODRIVER=offscreen SINGULARITYENV_CUDA_VISIBLE_DEIVCE=0$CUDA_VISIBLE_DEVICES singularity exec --nv carla_0.9.5.sif /home/carla/CarlaUE4.sh -opengl -carla-rpc-port=11011 |
| Note |
|---|
|
Build Client environment
You can create a conda environment:
...
| Code Block |
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#!/bin/bash
#SBATCH --gpus=1
#SBATCH --time=01:00:00
#SBATCH --mem=100G
source ~/miniconda3/bin/activate carla_py3
HOST=$(cat server_info.txt | cut -d ":" -f 1)
PORT=$(cat server_info.txt | cut -d ":" -f 2)
echo "python ${PWD}/carla/PythonAPI/util/performance_benchmark.py --host=$HOST --port=${PORT} "
srun -u python ${PWD}/carla/PythonAPI/util/performance_benchmark.py --host=$HOST --port=${PORT} |
| Note |
| At times, you may notice that the server doesn’t start and crashes with Segmentation Fault. In such situation try allocating the whole node and resubmit the server job. We are investigating the issue why the CUDA_VISIBLE_DEVICES are not honored. |