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,1.993956391500000036032247408002,2.380582268399999978925052346312,-75,-51.744777858257293701171875,-17,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.437579303399999952617349663342,2.165491167099999891831885179272,-90,5.70226467524448388246582908323,-94,16
2,1772344028,2,fe731772-b398-4aa0-b097-6aaaccdffa96,1772344030,1772344036,6,./.tests/optimization_example --int_param='-18' --float_param='10' --choice_param='16' --int_param_two='-100' --nr_results=2,0,,runnervmnelt9,-18,-100,10,16,2_0,COMPLETED,BOTORCH_MODULAR,1.382316921699999978656592247717,2.965832079900000195493703358807,-18,10,-100,16
3,1772344041,2,fe731772-b398-4aa0-b097-6aaaccdffa96,1772344043,1772344049,6,./.tests/optimization_example --int_param='-87' --float_param='-53.46752554407791535596' --choice_param='16' --int_param_two='-100' --nr_results=2,0,,runnervmnelt9,-87,-100,-53.467525544077922461383423069492,16,3_0,COMPLETED,BOTORCH_MODULAR,1.542825680765419926743220457865,2.180217660821170078122577251634,-87,-53.46752554407791535595606546849,-100,16
========================================================================
Current git-hash: 747fe7706a7fd36667018db94e6396efbd886d4b (version: 9271)
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 03-01 05:47:04] 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: 62447723-a363-4caf-b475-e29cff1a7324
_________________________________________________
/ \
| OmniOpt2 - Dancing on the edge of chaos – welcome |
| to the tuning dimension. |
\ /
=================================================
\
\
\
\
/ \\ //\\
|\\___/| / \\// \\\\
/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=26 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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ -90 │ 5.702264675244484 │ -94 │ 16 │ 1.4375793034 │ 2.1654911671 │
├─────────────┼───────────┼───────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 2 │ -18 │ 10 │ -100 │ 16 │ 1.3823169217 │ 2.9658320799 │
└─────────────┴───────────┴───────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-03-01 05:47:07 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-03-01 05:47:08 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-03-01 05:47:08 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.99 s/job
2026-03-01 05:47:08 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, eval #1/1 start
2026-03-01 05:47:08 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, starting new job
2026-03-01 05:47:08 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, started new job
2026-03-01 05:47:17 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, new result: RESULT1: 1.382317, RESULT2: 2.965832
2026-03-01 05:47:20 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2026-03-01 05:47:21 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2026-03-01 05:47:21 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.51 s/job
2026-03-01 05:47:21 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, 3 done, eval #1/1 start
2026-03-01 05:47:21 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, 3 done, starting new job
2026-03-01 05:47:21 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, 3 done, started new job
2026-03-01 05:47:30 (fe731772-b398-4aa0-b097-6aaaccdffa96): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.542826, RESULT2: 2.180218
2026-03-01 05:47:34 (fe731772-b398-4aa0-b097-6aaaccdffa96): 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
1772344025,767.8515625,28.2
