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,1.945034236000000138488985612639,2.57954357619999985473668857594,-11,-91.9014878571033477783203125,-57,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.513708384300000098221516964259,2.874695115599999795108487887774,-17,-6.949145932602426967150677228346,4,4
2,1767538962,2,5b7889d9-750a-4ba4-9f38-288df3899ff4,1767538964,1767538970,6,./.tests/optimization_example --int_param='-69' --float_param='-46.72502447281883775076' --choice_param='2' --int_param_two='-95' --nr_results=2,0,,runnervmh13bl,-69,-95,-46.725024472818837750764942029491,2,2_0,COMPLETED,BOTORCH_MODULAR,1.781291594100000041933640204661,2.492329688399999909620419202838,-69,-46.725024472818837750764942029491,-95,2
3,1767538976,2,5b7889d9-750a-4ba4-9f38-288df3899ff4,1767538978,1767538984,6,./.tests/optimization_example --int_param='-50' --float_param='1.07357458638991265509' --choice_param='2' --int_param_two='-59' --nr_results=2,0,,runnervmh13bl,-50,-59,1.07357458638991265509332606598,2,3_0,COMPLETED,BOTORCH_MODULAR,1.19614079718394994422681065771,2.19700923338265985407247171679,-50,1.07357458638991265509332606598,-59,2
========================================================================
Current git-hash: 02398bad90d1e0fc215adf64da1f60f9481909da (last fully tested stable version 2 commits ago [3bb4fe033a6a03e62be268ba0b4f542c23d2c237, 9226])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 01-04 15:02:37] 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: c3b96d1a-0656-407f-b401-34c2db98d008
_________________________________________________
/ \
| OmniOpt2 - Dancing on the edge of chaos – welcome |
| to the tuning dimension. |
\ /
=================================================
\
\
\
\
. .
/ `. .' \
.---. < > < > .---.
| \ \ - ~ ~ - / / |
_____ ~-..-~ ~-..-~
| | \~~~\.' `./~~~/
--------- \__/ \__/
.' O \ / / \ "
(_____, `._.' | } \/~~~/
`----. / } | / \__/
`-. | / | / `. ,~~|
~-.__| /_ - ~ ^| /- _ `..-' f: f:
| / | / ~-. `-. _|| _||_
|_____| |_____| ~ - . _ _ _ _ __>
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=567 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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 3 │ -50 │ 1.0735745863899127 │ -59 │ 2 │ 1.19614079718395 │ 2.19700923338266 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-01-04 15:02:42 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-01-04 15:02:42 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-01-04 15:02:42 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.79 s/job
2026-01-04 15:02:42 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, eval #1/1 start
2026-01-04 15:02:42 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, starting new job
2026-01-04 15:02:43 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, started new job
2026-01-04 15:02:52 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, new result: RESULT1: 1.781292, RESULT2: 2.492330
2026-01-04 15:02:54 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2026-01-04 15:02:56 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2026-01-04 15:02:56 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.47 s/job
2026-01-04 15:02:56 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, 3 done, eval #1/1 start
2026-01-04 15:02:56 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, 3 done, starting new job
2026-01-04 15:02:56 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, 3 done, started new job
2026-01-04 15:03:05 (5b7889d9-750a-4ba4-9f38-288df3899ff4): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.196141, RESULT2: 2.197009
2026-01-04 15:03:08 (5b7889d9-750a-4ba4-9f38-288df3899ff4): 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
1767538959,785.9765625,27.1
