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,1.333155979200000063045195020095,2.991467516000000159692717716098,-93,-64.43182647228240966796875,-44,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.418429175500000027909663913306,2.431255779599999833351375855273,5,4.065903626685699379095240146853,-13,hallo
2,1766941295,2,388d83a3-f83c-4b45-812c-02097b7691a8,1766941297,1766941303,6,./.tests/optimization_example --int_param='-2' --float_param='1.63053911656269123753' --choice_param='4' --int_param_two='-58' --nr_results=2,0,,runnervmdwttx,-2,-58,1.630539116562691237533044841257,4,2_0,COMPLETED,BOTORCH_MODULAR,1.48783464850000002321905867575,2.210762871100000026558518584352,-2,1.630539116562691237533044841257,-58,4
3,1766941310,2,388d83a3-f83c-4b45-812c-02097b7691a8,1766941312,1766941318,6,./.tests/optimization_example --int_param='-46' --float_param='-44.21265733277154197367' --choice_param='16' --int_param_two='-30' --nr_results=2,0,,runnervmdwttx,-46,-30,-44.212657332771534868243179516867,16,3_0,COMPLETED,BOTORCH_MODULAR,1.29502436921847996487144882849,2.017627869357479841738722825539,-46,-44.212657332771541973670537117869,-30,16
========================================================================
Current git-hash: 4e8e92a220339d29552207b9eddcf9472c62ad84 (last fully tested stable version 1 commit ago [15163add0bec0ec64b3085211fe86ce262805e32, 9198])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-28 17:01:30] 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: 79e0e93d-0213-42fb-b26c-a79e4e505fd1
_________________________________________________
/ \
| OmniOpt2 - Tuning like a pirate - arr, where be t |
| he optimal values? |
\ /
=================================================
\
\
\
\
/ \\ //\\
|\\___/| / \\// \\\\
/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=469 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 │ -46 │ -44.21265733277154 │ -30 │ 16 │ 1.29502436921848 │ 2.01762786935748 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 17:01:34 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-28 17:01:35 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-12-28 17:01:35 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.74 s/job
2025-12-28 17:01:35 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, eval #1/1 start
2025-12-28 17:01:35 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, starting new job
2025-12-28 17:01:35 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, started new job
2025-12-28 17:01:44 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, new result: RESULT1: 1.487835, RESULT2: 2.210763
2025-12-28 17:01:49 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-12-28 17:01:50 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-12-28 17:01:50 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.64 s/job
2025-12-28 17:01:50 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-12-28 17:01:50 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, 3 done, starting new job
2025-12-28 17:01:50 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, 3 done, started new job
2025-12-28 17:01:59 (388d83a3-f83c-4b45-812c-02097b7691a8): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.295024, RESULT2: 2.017628
2025-12-28 17:02:03 (388d83a3-f83c-4b45-812c-02097b7691a8): 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
1766941291,759.765625,28.9