Segmentation Fault in Remote Compute Cluster

[nomadka]

Hello folks, I am looking forward towards the segmentation issue which persist even after trying various versions of carla and python in order to match the compatibility. Below I have added the full traceback of the error. And I am working on remote computing cluster without visual input (Currently logged in Nvidia L40s - 48 GB Graphics card). I appreciate any advice or resolution on similar cases.

`(lmdrive) [es_nokamt00@gpu103 lmdrive]$ nvidia-smi
Sat May 10 13:18:17 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.35.03 Driver Version: 560.35.03 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA L40S On | 00000000:01:00.0 Off | 0 |
| N/A 39C P8 37W / 350W | 1MiB / 46068MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| No running processes found |
+-----------------------------------------------------------------------------------------+
(lmdrive) [es_nokamt00@gpu103 lmdrive]$ python --version
Python 3.9.21
(lmdrive) [es_nokamt00@gpu103 lmdrive]$ pip show carla
Name: carla
Version: 0.9.15
Summary: Python API for communicating with the CARLA server.
Home-page: https://github.com/carla-simulator/carla
Author: The CARLA team
Author-email: carla.simulator@gmail.com
License: MIT License
Location: /home/es/es_es/es_nokamt00/anaconda3/envs/lmdrive/lib/python3.9/site-packages
Requires:
Required-by:
(lmdrive) [es_nokamt00@gpu103 lmdrive]$ export SDL_AUDIODRIVER=dummy
export CARLA_ROOT=/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/carla
export TEAM_AGENT=/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/leaderboard/team_code/lmdriver_agent.py
export TEAM_CONFIG=/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/leaderboard/team_code/lmdriver_config.py
export CHECKPOINT_ENDPOINT=/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/results/lmdrive_result.json
export SCENARIOS=/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/leaderboard/data/official/all_towns_traffic_scenarios_public.json
export ROUTES=/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/langauto/benchmark_long.xml
export PYTHONPATH=/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/carla/PythonAPI/carla/dist/carla-0.9.10-py3.10-linux-x86_64.egg:$PYTHONPATH
(lmdrive) [es_nokamt00@gpu103 lmdrive]$ CUDA_VISIBLE_DEVICES=0 /home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/leaderboard/scripts/run_evaluation.sh
4.24.3-0+++UE4+Release-4.24 518 0
Disabling core dumps.
sh: line 1: xdg-user-dir: command not found
/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/leaderboard/leaderboard/leaderboard_evaluator.py
/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/leaderboard/leaderboard/leaderboard_evaluator.py:24: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
import pkg_resources
/home/es/es_es/es_nokamt00/master_thesis/lmdrive/LMDrive/leaderboard/scripts/run_evaluation.sh: line 45: 2127391 Segmentation fault (core dumped) python3 -u ${LEADERBOARD_ROOT}/leaderboard/leaderboard_evaluator.py --scenarios=${SCENARIOS} --routes=${ROUTES} --repetitions=${REPETITIONS} --track=${CHALLENGE_TRACK_CODENAME} --checkpoint=${CHECKPOINT_ENDPOINT} --agent=${TEAM_AGENT} --agent-config=${TEAM_CONFIG} --debug=${DEBUG_CHALLENGE} --record=${RECORD_PATH} --resume=${RESUME} --port=${PORT} --trafficManagerPort=${TM_PORT}
(lmdrive) [es_nokamt00@gpu103 lmdrive]$ `