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,1.962708811599999991770459928375,2.093528538600000210578855330823,-13,-75.5826042592525482177734375,-8,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.336092872600000092120353656355,2.271454344799999969239934216603,-90,5.731145312295647720191027474357,-91,4
2,1780145136,2,45707029-5236-45dc-95ef-457d2a5fa0da,1780145138,1780145144,6,./.tests/optimization_example --int_param='-97' --float_param='-72.76484793654782379235' --choice_param='16' --int_param_two='-92' --nr_results=2,0,,runnervmiav63,-97,-92,-72.764847936547823792352573946118,16,2_0,COMPLETED,BOTORCH_MODULAR,1.06834422060000000520574303664,2.528153573500000028673184715444,-97,-72.764847936547823792352573946118,-92,16
3,1780145150,2,45707029-5236-45dc-95ef-457d2a5fa0da,1780145152,1780145158,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='4' --int_param_two='-100' --nr_results=2,0,,runnervmiav63,-100,-100,-100,4,3_0,COMPLETED,BOTORCH_MODULAR,1.148249791775930006565431540366,2.345287118197549869336171468603,-100,-100,-100,4
========================================================================
Current git-hash: 2c09badf8ff71f8f9eee5a24e4a2328f476e658c (last fully tested stable version 2 commits ago [5c399eb6c53d4165f4e4c5d4191a2115cad88c0b, 9342])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-30 12:45:32] 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: c63446f1-9ab5-4e35-a7ec-75ca8c991bf7
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_________________________________________________
/ \
| OmniOpt2 - Walking the fine line between overfit |
| and underfit like a tightrope artist. |
\ /
=================================================
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|\\___/| / \\// \\\\
/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=19 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 │ -13 │ -75.58260425925255 │ -8 │ 2 │ 1.9627088116 │ 2.0935285386 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 1 │ -90 │ 5.731145312295648 │ -91 │ 4 │ 1.3360928726 │ 2.2714543448 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 2 │ -97 │ -72.76484793654782 │ -92 │ 16 │ 1.0683442206 │ 2.5281535735 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -100 │ -100 │ -100 │ 4 │ 1.14824979177593 │ 2.34528711819755 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 4 done / 4 submitted │
│ ⏱️ Duration: 38s │
│ 🏆 Best RESULT1: 1.0683442206 │
│ 🏆 Best RESULT2: 2.0935285386 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-30 12:45:35 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-30 12:45:36 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-30 12:45:36 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.66 s/job
2026-05-30 12:45:36 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, eval #1/1 start
2026-05-30 12:45:36 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, starting new job
2026-05-30 12:45:36 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, started new job
2026-05-30 12:45:45 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, new result: RESULT1: 1.068344, RESULT2: 2.528154
2026-05-30 12:45:48 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, 3 done, ▁▅█, finishing jobs, finished 1 job
2026-05-30 12:45:50 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, 3 done, ▁▅█, getting new HP set (no sbatch)
2026-05-30 12:45:50 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, 3 done, ▁▅█, requested 1 jobs, got 1, 1.64 s/job
2026-05-30 12:45:50 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, 3 done, ▁▅█, eval #1/1 start
2026-05-30 12:45:50 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, 3 done, ▁▅█, starting new job
2026-05-30 12:45:50 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, 3 done, ▁▅█, started new job
2026-05-30 12:45:59 (45707029-5236-45dc-95ef-457d2a5fa0da): BOTORCH_MODULAR, 3 done, ▁▅█, new result: RESULT1: 1.148250, RESULT2: 2.345287
2026-05-30 12:46:02 (45707029-5236-45dc-95ef-457d2a5fa0da): 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
1780145133,756.5078125,28
