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,RESULT,int_param,float_param,int_param_two,choice_param
0,1779961661,2,df37657e-cd9b-4ffe-8da4-73c35a6a1e65,1779961663,1779961669,6,./.tests/optimization_example --int_param='-47' --float_param='1.24956905841827392578' --choice_param='hallo' --int_param_two='-57' --nr_results=1,0,,runnervmg397c,-47,-57,1.24956905841827392578125,hallo,0_0,COMPLETED,SOBOL,-65641.57732247569947503507137298584,-47,1.24956905841827392578125,-57,hallo
1,1779961673,1,df37657e-cd9b-4ffe-8da4-73c35a6a1e65,1779961674,1779961680,6,./.tests/optimization_example --int_param='-15' --float_param='-68.31844846980774832446' --choice_param='2' --int_param_two='2' --nr_results=1,0,,runnervmg397c,-15,2,-68.318448469807748324456042610109,2,1_0,COMPLETED,BOTORCH_MODULAR,-58193.668860198500624392181634902954,-15,-68.318448469807748324456042610109,2,2
========================================================================
Current git-hash: 5c399eb6c53d4165f4e4c5d4191a2115cad88c0b (last fully tested stable version 5 commits ago [3d587dc4b297f4e0db9767b04ad80de912dc9888, 9335])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-28 09:47:36] ax.storage.sqa_store.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]`.
Run-UUID: 8d855159-733e-49e8-8011-481f46ef0296
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/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_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_________________________________________________
/ \
| OmniOpt2 - Fine-tuning on the frequency of realit |
| y. |
\ /
=================================================
\
\
\
\
/ \\ //\\
|\\___/| / \\// \\\\
/0 0 \\__ / // | \\ \\
/ / \\/_/ // | \\ \\
\@_^_\@'/ \\/_ // | \\ \\
//_^_/ \\/_ // | \\ \\
( //) | \\/// | \\ \\
( / /) _|_ / ) // | \\ _\\
( // /) '/,_ _ _/ ( ; -. | _ _\\.-~ .-~~~^-.
(( / / )) ,-{ _ `-.|.-~-. .~ `.
(( // / )) '/\\ / ~-. _ .-~ .-~^-. \\
(( /// )) `. { } / \\ \\
(( / )) .----~-.\\ \\-' .~ \\ `. \\^-.
///.----..> \\ _ -~ `. ^-` ^-_
///-._ _ _ _ _ _ _}^ - - - - ~ ~-- ,.-~
/.-~
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=48 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
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=1
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param │ range │ -100 │ 10 │ │ int │ No │
│ float_param │ range │ -100 │ 10 │ │ float │ No │
│ choice_param │ choice │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ range │ -100 │ 10 │ │ int │ No │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Best RESULT, min (total: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -47 │ -57 │ 1.249569058418274 │ hallo │ -47 │ 1.249569058418274 │ -57 │ hallo │ -65641.5773224757 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴───────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.053 │ 1 │ 0.053 │
│ 2 │ 0.468 │ 1 │ 0.468 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.261 │ │ │
│ Median │ 0.261 │ │ │
│ Total │ 0.521 │ │ │
│ Max │ 0.468 │ │ │
│ Min │ 0.053 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.265 │ 1 │ 0.265 │
│ 2 │ 0.094 │ 1 │ 0.094 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.179 │ │ │
│ Median │ 0.179 │ │ │
│ Total │ 0.359 │ │ │
│ Max │ 0.265 │ │ │
│ Min │ 0.094 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted │
│ ⏱️ Duration: 38s │
│ 🏆 Best RESULT: -65641.5773224757 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-28 09:47:41 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): SOBOL, Started OmniOpt2 run...
2026-05-28 09:47:41 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): SOBOL, getting new HP set (no sbatch)
2026-05-28 09:47:41 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): SOBOL, requested 1 jobs, got 1, 0.05 s/job
2026-05-28 09:47:41 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): SOBOL, eval #1/1 start
2026-05-28 09:47:41 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): SOBOL, starting new job
2026-05-28 09:47:41 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): SOBOL, started new job
2026-05-28 09:47:50 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): SOBOL, new result: RESULT: -65641.577322
2026-05-28 09:47:52 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): SOBOL, best RESULT: -65641.5773224757, finishing jobs, finished 1 job
2026-05-28 09:47:52 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): BOTORCH_MODULAR, best RESULT: -65641.5773224757, getting new HP set (no sbatch)
2026-05-28 09:47:52 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): BOTORCH_MODULAR, best RESULT: -65641.5773224757, requested 1 jobs, got 1, 0.47 s/job
2026-05-28 09:47:52 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): BOTORCH_MODULAR, best RESULT: -65641.5773224757, eval #1/1 start
2026-05-28 09:47:53 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): BOTORCH_MODULAR, best RESULT: -65641.5773224757, starting new job
2026-05-28 09:47:53 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): BOTORCH_MODULAR, best RESULT: -65641.5773224757, started new job
2026-05-28 09:48:02 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): BOTORCH_MODULAR, best RESULT: -65641.5773224757, new result: RESULT: -58193.668860
2026-05-28 09:48:04 (df37657e-cd9b-4ffe-8da4-73c35a6a1e65): BOTORCH_MODULAR, best RESULT: -65641.5773224757, █▁, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1779961658,781.09375,26.8