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,-92468.078371900497586466372013092041,-78,-37.90076732635498046875,-17,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-145284.307891495991498231887817382812,-11,-65.045262431870739305850293021649,-92,hallo
2,1778372264,2,d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1,1778372266,1778372272,6,./.tests/optimization_example --int_param='10' --float_param='3.94943839856364986574' --choice_param='hallo' --int_param_two='-100' --nr_results=1,0,,279d7f3f0804,10,-100,3.949438398563649421646459813928,hallo,2_0,COMPLETED,BOTORCH_MODULAR,-109953.556796784003381617367267608643,10,3.949438398563649865735669663991,-100,hallo
3,1778372275,1,d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1,1778372276,1778372282,6,./.tests/optimization_example --int_param='-10' --float_param='-95.61827865603001441741' --choice_param='hallo' --int_param_two='-100' --nr_results=1,0,,279d7f3f0804,-10,-100,-95.618278656030000206555996555835,hallo,3_0,COMPLETED,BOTORCH_MODULAR,-213222.899997025000629946589469909668,-10,-95.618278656030014417410711757839,-100,hallo
========================================================================
Current git-hash: d0176ca558ccf63a3120d98332e97ed4a52001ff (last fully tested stable version 16 commits ago [5268678be516a64d8bfe1ff0d3bbd05a6f0bcdd2, 9305])
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 00:17:40] 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: f1f65daa-dcb9-41eb-9c2b-317eaad4192a
//.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.")
____ _ _ _ ____ ____ _____ ____
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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=82 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: -213222.899997025, ▁▄▂█, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:21<00:00, 5.35s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -10.0 │ -100.0 │ -95.61827865603 │ hallo │ -10 │ -95.61827865603001 │ -100 │ hallo │ -213222.899997025 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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: 32s │
│ 🏆 Best RESULT: -213222.899997025 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-10 00:17:43 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-10 00:17:44 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-10 00:17:44 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.68 s/job
2026-05-10 00:17:44 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, eval #1/1 start
2026-05-10 00:17:44 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, starting new job
2026-05-10 00:17:44 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, started new job
2026-05-10 00:17:52 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, new result: RESULT: -109953.556797
2026-05-10 00:17:54 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, best RESULT: -145284.307891496, ▁█▃, finishing jobs, finished 1 job
2026-05-10 00:17:55 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, best RESULT: -145284.307891496, ▁█▃, getting new HP set (no sbatch)
2026-05-10 00:17:55 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, best RESULT: -145284.307891496, ▁█▃, requested 1 jobs, got 1, 0.68 s/job
2026-05-10 00:17:55 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, best RESULT: -145284.307891496, ▁█▃, eval #1/1 start
2026-05-10 00:17:55 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, best RESULT: -145284.307891496, ▁█▃, starting new job
2026-05-10 00:17:55 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, best RESULT: -145284.307891496, ▁█▃, started new job
2026-05-10 00:18:03 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, best RESULT: -145284.307891496, ▁█▃, new result: RESULT: -213222.899997
2026-05-10 00:18:05 (d3ce9daa-b7c0-4c4d-b186-7cf285cfeab1): BOTORCH_MODULAR, best RESULT: -213222.899997025, ▁▄▂█, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1778372261,782.73828125,27.6