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,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,1.280322322900000031609124562237,2.430982547400000193249525182182,-70,-46.686980426311492919921875,-21,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.498852535900000004787102625414,2.053003022499999996597352946992,10,-76.826953323167046505659527610987,-78,1
2,1766935431,2,cd304480-e51e-4755-ad01-af790f56f830,1766935433,1766935439,6,./.tests/optimization_example --int_param='9' --float_param='-2.23921616292861891395' --choice_param='8' --int_param_two='-19' --nr_results=2,0,,runnervmdwttx,9,-19,-2.239216162928618913952050206717,8,2_0,COMPLETED,BOTORCH_MODULAR,1.969901107600000145225749292877,2.070569225199999863207267480902,9,-2.239216162928618913952050206717,-19,8
3,1766935445,2,cd304480-e51e-4755-ad01-af790f56f830,1766935447,1766935453,6,./.tests/optimization_example --int_param='-43' --float_param='-80.96186388330197303276' --choice_param='1' --int_param_two='-53' --nr_results=2,0,,runnervmdwttx,-43,-53,-80.961863883301973032757814507931,1,3_0,COMPLETED,BOTORCH_MODULAR,1.994666240018889924456857443147,2.559986506679219786519752233289,-43,-80.961863883301973032757814507931,-53,1
========================================================================
Current git-hash: ad087dd73090c1a87458712610fa3da008ba8cc9 (last fully tested stable version 8 commits ago [615815d7faceb30fd81f992ecff2c39b1a8872ef, 9176])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-28 15:23:46] 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]`.
Using old run's --time: 60
Using old run's --gpus: 0
Using old run's --max_eval: 2
Run-UUID: 8e5a8463-6a79-4a93-8ccf-a43ba5cb189c
_________________________________________________
/ \
| OmniOpt2 - As timeless as Metropolis, but with be |
| tter optimization. |
\ /
=================================================
\
\
\
\
/ \\ //\\
|\\___/| / \\// \\\\
/0 0 \\__ / // | \\ \\
/ / \\/_/ // | \\ \\
\@_^_\@'/ \\/_ // | \\ \\
//_^_/ \\/_ // | \\ \\
( //) | \\/// | \\ \\
( / /) _|_ / ) // | \\ _\\
( // /) '/,_ _ _/ ( ; -. | _ _\\.-~ .-~~~^-.
(( / / )) ,-{ _ `-.|.-~-. .~ `.
(( // / )) '/\\ / ~-. _ .-~ .-~^-. \\
(( /// )) `. { } / \\ \\
(( / )) .----~-.\\ \\-' .~ \\ `. \\^-.
///.----..> \\ _ -~ `. ^-` ^-_
///-._ _ _ _ _ _ _}^ - - - - ~ ~-- ,.-~
/.-~
omniopt --continue runs/multi_results_2_results_BOTORCH_MODULAR/0 --live_share
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1
Continuation from runs/multi_results_2_results_BOTORCH_MODULAR/0
You have less --max_eval 2 than --num_random_steps 20. Switched both.
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=417 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 4 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=2
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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1 │ min │
│ RESULT2 │ min │
└─────────────┴─────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT2.
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 0 │ -70 │ -46.68698042631149 │ -21 │ 16 │ 1.2803223229 │ 2.4309825474 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 1 │ 10 │ -76.82695332316705 │ -78 │ 1 │ 1.4988525359 │ 2.0530030225 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Not printing sixel graphics in CI
Not printing sixel graphics in CI
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-12-28 15:23:50 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-28 15:23:51 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-12-28 15:23:51 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.74 s/job
2025-12-28 15:23:51 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, eval #1/1 start
2025-12-28 15:23:51 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, starting new job
2025-12-28 15:23:51 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, started new job
2025-12-28 15:24:00 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, new result: RESULT1: 1.969901, RESULT2: 2.070569
2025-12-28 15:24:03 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-12-28 15:24:05 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-12-28 15:24:05 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.43 s/job
2025-12-28 15:24:05 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-12-28 15:24:05 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, 3 done, starting new job
2025-12-28 15:24:05 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, 3 done, started new job
2025-12-28 15:24:14 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.994666, RESULT2: 2.559987
2025-12-28 15:24:18 (cd304480-e51e-4755-ad01-af790f56f830): BOTORCH_MODULAR, 4 done, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1766935427,759.27734375,36.4