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,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-134216.834883670002454891800880432129,-25,-80.0034792721271514892578125,-68,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-155506.943339482997544109821319580078,-94,-6.280174375791012231218246597564,-70,hallo
2,1780223270,1,19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0,1780223271,1780223277,6,./.tests/optimization_example --int_param='-100' --float_param='10' --choice_param='hallo' --int_param_two='1' --nr_results=1,0,,3fbafc3d0648,-100,1,10,hallo,2_0,COMPLETED,BOTORCH_MODULAR,-111413.320000000006984919309616088867,-100,10,1,hallo
3,1780223281,2,19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0,1780223283,1780223289,6,./.tests/optimization_example --int_param='-91' --float_param='-11.64343817014021631451' --choice_param='hallo' --int_param_two='-95' --nr_results=1,0,,3fbafc3d0648,-91,-95,-11.643438170140216314507597417105,hallo,3_0,COMPLETED,BOTORCH_MODULAR,-194628.560341233009239658713340759277,-91,-11.643438170140216314507597417105,-95,hallo
========================================================================
Current git-hash: 4d604d1144428d61572f1a083b390631a8aef853 (last fully tested stable version 1 commit ago [2c09badf8ff71f8f9eee5a24e4a2328f476e658c, 9344])
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 05-31 10:27:45] 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...
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: 6881a307-85b2-4da0-93fe-847199fa9892
//.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 - Cooking up some optimization! |
========================================
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⠋ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1...
⠋ 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/1
Continuation from 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=115 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 5 steps.
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 │ rangeparameter │ -100 │ 10 │ │ int │ No │
│ float_param │ rangeparameter │ -100 │ 10 │ │ float │ No │
│ choice_param │ choiceparameter │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ rangeparameter │ -100 │ 10 │ │ int │ No │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -194628.560341233, ▂▄▁█, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:23<00:00, 5.96s/it]
Best RESULT, min (total: 2 + inserted jobs: 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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -91.0 │ -95.0 │ -11.643438170140216 │ hallo │ -91 │ -11.643438170140216 │ -95 │ hallo │ -194628.560341233 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 4 done / 4 submitted │
│ ⏱️ Duration: 34s │
│ 🏆 Best RESULT: -194628.560341233 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-31 10:27:49 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-31 10:27:50 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-31 10:27:50 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.60 s/job
2026-05-31 10:27:50 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, eval #1/1 start
2026-05-31 10:27:50 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, starting new job
2026-05-31 10:27:50 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, started new job
2026-05-31 10:27:59 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, new result: RESULT: -111413.320000
2026-05-31 10:28:00 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, best RESULT: -155506.943339483, ▄█▁, finishing jobs, finished 1 job
2026-05-31 10:28:01 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, best RESULT: -155506.943339483, ▄█▁, getting new HP set (no sbatch)
2026-05-31 10:28:01 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, best RESULT: -155506.943339483, ▄█▁, requested 1 jobs, got 1, 0.73 s/job
2026-05-31 10:28:01 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, best RESULT: -155506.943339483, ▄█▁, eval #1/1 start
2026-05-31 10:28:01 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, best RESULT: -155506.943339483, ▄█▁, starting new job
2026-05-31 10:28:01 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, best RESULT: -155506.943339483, ▄█▁, started new job
2026-05-31 10:28:10 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, best RESULT: -155506.943339483, ▄█▁, new result: RESULT: -194628.560341
2026-05-31 10:28:13 (19eef4b3-ff7d-45f7-9dcf-8bbd4ac523c0): BOTORCH_MODULAR, best RESULT: -194628.560341233, ▂▄▁█, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1780223266,793.83984375,28.3