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,-103084.608185253004194237291812896729,-68,-44.60049211978912353515625,-45,hallo
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-205446.774275231000501662492752075195,8,-97.03110029556223992130981059745,-96,2
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-118367.720000000001164153218269348145,10,-100,-23,2
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-133199.325874842994380742311477661133,10,-43.480105068825132264009880600497,-100,2
4,1761448969,2,468fbd06-9342-450e-aed6-6d2c138d0908,1761448971,1761448977,6,./.tests/optimization_example --int_param='7' --float_param='-123.93678250872928003901' --choice_param='2' --int_param_two='-94' --nr_results=1,0,,ae126b1956ff,7,-94,-123.936782508729280039005971048027,2,4_0,COMPLETED,BOTORCH_MODULAR,-263563.858837033971212804317474365234,7,-123.936782508729280039005971048027,-94,2
5,1761448981,2,468fbd06-9342-450e-aed6-6d2c138d0908,1761448983,1761448989,6,./.tests/optimization_example --int_param='6' --float_param='-155.41600833125392000511' --choice_param='2' --int_param_two='-92' --nr_results=1,0,,ae126b1956ff,6,-92,-155.416008331253920005110558122396,2,5_0,COMPLETED,BOTORCH_MODULAR,-350723.477289328991901129484176635742,6,-155.416008331253920005110558122396,-92,2
========================================================================
Current git-hash: 35c3babae304e99c81a4d0c9ff8d02c1116bb672 (version: 8888)
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
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⠋ Importing rich.table...
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⠋ Importing pformat...
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⠋ Importing types.FunctionType...
⠋ Importing typing...
⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
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⠋ 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...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠋ Importing helpers...
⠋ Parsing arguments...
⠹ Importing torch...
⠋ Importing numpy...
[WARNING 10-26 03:22:44] ax.service.utils.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 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 MaxTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Models from ax.generation_strategy.registry...
⠋ Importing get_pending_observation_features...
⠋ Importing load_experiment...
⠋ Importing save_experiment...
⠋ Importing save_experiment_to_db...
⠋ Importing TrialStatus...
⠋ Importing Data...
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⠋ 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: da354113-f9d2-49ed-aede-2622bb23291d
_________________________________________________
/ \
| OmniOpt2 - Tuning like a Jedi: Feel the force of |
| the optimal values. |
\ /
=================================================
\
\
\
\
___-------___
_-~~ ~~-_
_-~ /~-_
/^\__/^\ /~ \ / \
/| O|| O| / \_______________/ \
| |___||__| / / \ \
| \ / / \ \
| (_______) /______/ \_________ \
| / / \ / \
\ \^\\ \ / \ /
\ || \______________/ _-_ //\__//
\ ||------_-~~-_ ------------- \ --/~ ~\ || __/
~-----||====/~ |==================| |/~~~~~
(_(__/ ./ / \_\ \.
(_(___/ \_____)_)
⠋ 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=602 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: -350723.477289329, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:24<00:00, 4.14s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ 6.0 │ -92.0 │ -155.41600833125392 │ 2.0 │ 6 │ -155.41600833125392 │ -92 │ 2 │ -350723.477289329 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-10-26 03:22:48 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-26 03:22:49 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-26 03:22:49 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.23 s/job
2025-10-26 03:22:49 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, eval #1/1 start
2025-10-26 03:22:49 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, starting new job
2025-10-26 03:22:49 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, started new job
2025-10-26 03:22:58 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, new result: RESULT: -263563.858837
2025-10-26 03:23:00 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, best RESULT: -263563.858837034, finishing jobs, finished 1 job
2025-10-26 03:23:01 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, best RESULT: -263563.858837034, getting new HP set (no sbatch)
2025-10-26 03:23:01 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, best RESULT: -263563.858837034, requested 1 jobs, got 1, 1.28 s/job
2025-10-26 03:23:01 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, best RESULT: -263563.858837034, eval #1/1 start
2025-10-26 03:23:01 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, best RESULT: -263563.858837034, starting new job
2025-10-26 03:23:01 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, best RESULT: -263563.858837034, started new job
2025-10-26 03:23:10 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, best RESULT: -263563.858837034, new result: RESULT: -350723.477289
2025-10-26 03:23:12 (468fbd06-9342-450e-aed6-6d2c138d0908): BOTORCH_MODULAR, best RESULT: -350723.477289329, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1761448964,805.15625,28.5