trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,arm_name,trial_status,generation_node,RESULT,int_param,float_param,int_param_two,choice_param
0,1778405531,2,5daf5b11-5578-4bb8-bf5e-cc52f0488c4f,1778405533,1778405539,6,./.tests/optimization_example --int_param='-74' --float_param='-66.21273875236511230469' --choice_param='hallo' --int_param_two='-86' --nr_results=1,0,,d9324ab71f08,-74,-86,-66.2127387523651123046875,hallo,0_0,COMPLETED,SOBOL,-195694.261606126005062833428382873535,-74,-66.2127387523651123046875,-86,hallo
1,1778405542,2,5daf5b11-5578-4bb8-bf5e-cc52f0488c4f,1778405544,1778405550,6,./.tests/optimization_example --int_param='-27' --float_param='7.96763855042767410453' --choice_param='2' --int_param_two='-4' --nr_results=1,0,,d9324ab71f08,-27,-4,7.967638550427673216347557172412,2,1_0,COMPLETED,BOTORCH_MODULAR,-11444.988785659799759741872549057007,-27,7.967638550427674104525976872537,-4,2
========================================================================
Current git-hash: 35c250215b7365bf0aa1a8b33d7ddc1e197e7d1c (last fully tested stable version 7 commits ago [01b08d618b49d942e55420979b7925f87f54957e, 9319])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
⠋ Importing dataclass...
⠋ Importing socket...
⠋ Importing stat...
⠋ Importing pwd...
⠋ Importing base64...
⠋ Importing json...
⠋ Importing yaml...
⠋ Importing toml...
⠋ Importing csv...
⠋ Importing ast...
⠋ Importing rich.table...
⠋ Importing rich print...
⠋ Importing rich.pretty...
⠋ Importing pformat...
⠋ Importing rich.prompt...
⠋ Importing types.FunctionType...
⠋ Importing typing...
⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
⠋ Importing submitit.Job...
⠋ Importing importlib.util...
⠋ Importing platform...
⠋ Importing inspect frame info...
⠋ Importing pathlib.Path...
⠋ Importing uuid...
⠋ Importing cowsay...
⠋ Importing shutil...
⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
⠋ Importing beartype...
[WARNING 05-10 09:32:07] ax.storage.sqa_store.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
⠹ Importing rendering stuff...
⠋ Importing statistics...
⠋ Importing notifier...
⠋ Trying to import pyfiglet...
⠋ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠋ Importing torch...
⠋ Importing numpy...
⠋ Importing ax...
⠋ Importing ax.core.generator_run...
⠋ Importing Cont_X_trans and Y_trans from ax.adapter.registry...
⠋ Importing ax.core.arm...
⠋ Importing ax.core.objective...
⠋ Importing ax.core.Metric...
⠋ Importing ax.exceptions.core...
⠋ Importing ax.exceptions.generation_strategy...
⠋ Importing CORE_DECODER_REGISTRY...
⠋ Trying ax.generation_strategy.generation_node...
⠋ Importing GenerationStep, GenerationStrategy from generation_strategy...
⠋ Importing GenerationNode from generation_node...
⠋ Importing ExternalGenerationNode...
⠋ Importing MinTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Generators from ax.generation_strategy.registry...
⠋ Importing load_experiment...
⠋ Importing save_experiment...
⠋ Importing save_experiment_to_db...
⠋ Importing TrialStatus...
⠋ Importing Data...
⠋ Importing Experiment...
⠋ Importing parameter types...
⠋ Importing TParameterization...
⠋ Importing pandas...
⠋ Importing AxClient and ObjectiveProperties...
⠋ Importing RandomForestRegressor...
⠋ Importing botorch...
⠋ Importing submitit...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Run-UUID: 69e26e18-c399-4863-9630-191d6ac2c535
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_________________________________
| OmniOpt2 - Optimizing with style! |
=================================
\
\
^__^
(oo)\_______
(__)\ )\/\
||----w |
|| ||
⠋ Writing worker creation log...
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
⠋ Saving state files...
Run-folder: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠋ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=90 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
Run-Program: ./.tests/optimization_example --int_param='%(int_param)' --float_param='%(float_param)' --choice_param='%(choice_param)' --int_param_two='%(int_param_two)' --nr_results=1
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param │ range │ -100 │ 10 │ │ int │ No │
│ float_param │ range │ -100 │ 10 │ │ float │ No │
│ choice_param │ choice │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ range │ -100 │ 10 │ │ int │ No │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -195694.261606126, █▁, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:22<00:00, 11.15s/it]
Best RESULT, min (total: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -74 │ -86 │ -66.21273875236511 │ hallo │ -74 │ -66.21273875236511 │ -86 │ hallo │ -195694.261606126 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time ┃ Max time ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ 6.00 sec │ 6.00 sec │ 6.00 sec │ 6.00 sec │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.035 │ 1 │ 0.035 │
│ 2 │ 0.368 │ 1 │ 0.368 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.202 │ │ │
│ Median │ 0.202 │ │ │
│ Total │ 0.403 │ │ │
│ Max │ 0.368 │ │ │
│ Min │ 0.035 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.184 │ 1 │ 0.184 │
│ 2 │ 0.078 │ 1 │ 0.078 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.131 │ │ │
│ Median │ 0.131 │ │ │
│ Total │ 0.262 │ │ │
│ Max │ 0.184 │ │ │
│ Min │ 0.078 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted │
│ ⏱️ Duration: 33s │
│ 🏆 Best RESULT: -195694.261606126 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-10 09:32:11 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): SOBOL, Started OmniOpt2 run...
2026-05-10 09:32:11 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): SOBOL, getting new HP set (no sbatch)
2026-05-10 09:32:11 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-05-10 09:32:11 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): SOBOL, eval #1/1 start
2026-05-10 09:32:11 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): SOBOL, starting new job
2026-05-10 09:32:11 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): SOBOL, started new job
2026-05-10 09:32:20 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): SOBOL, new result: RESULT: -195694.261606
2026-05-10 09:32:22 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): SOBOL, best RESULT: -195694.261606126, finishing jobs, finished 1 job
2026-05-10 09:32:22 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): BOTORCH_MODULAR, best RESULT: -195694.261606126, getting new HP set (no sbatch)
2026-05-10 09:32:22 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): BOTORCH_MODULAR, best RESULT: -195694.261606126, requested 1 jobs, got 1, 0.37 s/job
2026-05-10 09:32:22 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): BOTORCH_MODULAR, best RESULT: -195694.261606126, eval #1/1 start
2026-05-10 09:32:22 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): BOTORCH_MODULAR, best RESULT: -195694.261606126, starting new job
2026-05-10 09:32:22 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): BOTORCH_MODULAR, best RESULT: -195694.261606126, started new job
2026-05-10 09:32:31 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): BOTORCH_MODULAR, best RESULT: -195694.261606126, new result: RESULT: -11444.988786
2026-05-10 09:32:33 (5daf5b11-5578-4bb8-bf5e-cc52f0488c4f): BOTORCH_MODULAR, best RESULT: -195694.261606126, █▁, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1778405528,781.609375,28.3