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,-102825.695204895993811078369617462158,-82,-46.192944049835205078125,-2,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-174554.583172098995419219136238098145,-13,-89.678013906132775900914566591382,-85,16
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-118552.803214927000226452946662902832,10,-22.541755962406316626811531023122,-100,16
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-260793.320000000006984919309616088867,-58,-100,-100,16
4,1778366275,2,3d9b824d-96b2-46dd-ac75-38ef5b8955be,1778366277,1778366283,6,./.tests/optimization_example --int_param='-72' --float_param='-311.53214508121652670525' --choice_param='16' --int_param_two='-46' --nr_results=1,0,,d33643910aa8,-72,-46,-311.53214508121646986182895489037,16,4_0,COMPLETED,BOTORCH_MODULAR,-1088440.508697160053998231887817382812,-72,-311.532145081216526705247815698385,-46,16
5,1778366287,2,3d9b824d-96b2-46dd-ac75-38ef5b8955be,1778366289,1778366295,6,./.tests/optimization_example --int_param='-100' --float_param='-466.81261871232703697387' --choice_param='16' --int_param_two='-32' --nr_results=1,0,,d33643910aa8,-100,-32,-466.812618712327036973874783143401,16,5_0,COMPLETED,BOTORCH_MODULAR,-2351433.1917618401348590850830078125,-100,-466.812618712327036973874783143401,-32,16
========================================================================
Current git-hash: 5268678be516a64d8bfe1ff0d3bbd05a6f0bcdd2 (last fully tested stable version 1 commit ago [7d04f3b04cc038a14898910e7a1fde53755e73b2, 9304])
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 05-09 22:37:51] 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...
⠋ 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: 3614948c-3ea2-4582-94b6-c224e93384b5
_________________________________________________
/ \
| OmniOpt2 - Tuning like a Jedi: Feel the force of |
| the optimal values. |
\ /
=================================================
\
\
\
\
__---__
_- /--______
__--( / \ )XXXXXXXXXXX\v.
.-XXX( O O )XXXXXXXXXXXXXXX-
/XXX( U ) XXXXXXX\
/XXXXX( )--_ XXXXXXXXXXX\
/XXXXX/ ( O ) XXXXXX \XXXXX\
XXXXX/ / XXXXXX \__ \XXXXX
XXXXXX__/ XXXXXX \__---->
---___ XXX__/ XXXXXX \__ /
\- --__/ ___/\ XXXXXX / ___--/=
\-\ ___/ XXXXXX '--- XXXXXX
\-\/XXX\ XXXXXX /XXXXX
\XXXXXXXXX \ /XXXXX/
\XXXXXX > _/XXXXX/
\XXXXX--__/ __-- XXXX/
-XXXXXXXX--------------- XXXXXX-
\XXXXXXXXXXXXXXXXXXXXXXXXXX/
""VXXXXXXXXXXXXXXXXXXV""
⠋ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --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/2...
⠋ 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/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
⠋ 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...
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=80 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 9 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 │ -1000 │ 1000 │ │ 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: -2351433.19176184, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:25<00:00, 4.18s/it]
Best RESULT, min (total: 2 + inserted jobs: 4)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ 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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -100.0 │ -32.0 │ -466.81261871232704 │ 16.0 │ -100 │ -466.81261871232704 │ -32 │ 16 │ -2351433.19176184 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴───────────────────┘
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 / 6 done / 6 submitted │
│ ⏱️ Duration: 35s │
│ 🏆 Best RESULT: -2351433.19176184 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-09 22:37:55 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-09 22:37:55 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-09 22:37:55 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.56 s/job
2026-05-09 22:37:55 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, eval #1/1 start
2026-05-09 22:37:55 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, starting new job
2026-05-09 22:37:56 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, started new job
2026-05-09 22:38:05 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, new result: RESULT: -1088440.508697
2026-05-09 22:38:07 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, best RESULT: -1088440.50869716, finishing jobs, finished 1 job
2026-05-09 22:38:07 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, best RESULT: -1088440.50869716, getting new HP set (no sbatch)
2026-05-09 22:38:07 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, best RESULT: -1088440.50869716, requested 1 jobs, got 1, 0.65 s/job
2026-05-09 22:38:07 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, best RESULT: -1088440.50869716, eval #1/1 start
2026-05-09 22:38:07 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, best RESULT: -1088440.50869716, starting new job
2026-05-09 22:38:08 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, best RESULT: -1088440.50869716, started new job
2026-05-09 22:38:17 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, best RESULT: -1088440.50869716, new result: RESULT: -2351433.191762
2026-05-09 22:38:20 (3d9b824d-96b2-46dd-ac75-38ef5b8955be): BOTORCH_MODULAR, best RESULT: -2351433.19176184, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1778366272,783.453125,28.3