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,1.52854816690000006040861535439,2.595484665699999915489115664968,1,-67.916228473186492919921875,-96,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.350034945700000044155331124784,2.874476666000000069089992393856,-88,-81.706797087663574075122596696019,9,2
2,1775262569,2,415c43c4-cdd0-4212-8efc-834e56c80c91,1775262571,1775262577,6,./.tests/optimization_example --int_param='9' --float_param='6.8241827986766363523' --choice_param='1' --int_param_two='-21' --nr_results=2,0,,runnervmqito0,9,-21,6.824182798676636352297464327421,1,2_0,COMPLETED,BOTORCH_MODULAR,1.365361299899999991680488165002,2.097136340900000117670742838527,9,6.824182798676636352297464327421,-21,1
3,1775262582,2,415c43c4-cdd0-4212-8efc-834e56c80c91,1775262584,1775262590,6,./.tests/optimization_example --int_param='-21' --float_param='-7.48522670536881662429' --choice_param='1' --int_param_two='10' --nr_results=2,0,,runnervmqito0,-21,10,-7.485226705368815736107990232995,1,3_0,COMPLETED,BOTORCH_MODULAR,1.453042880472829923022004550148,2.403204462581439937451932564727,-21,-7.48522670536881662428640993312,10,1
========================================================================
Current git-hash: 3669a7dd9138090647baf283e6316589853bd460 (last fully tested stable version 1 commit ago [e188e113bd67d7034e782e74dc3d1f1b616e1904, 9280])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 04-04 00:29:26] 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: d5dd843f-ef7f-4937-9e1e-3b1471bdc643
_________________________________________________
/ \
| OmniOpt2 - Tuning hyperparameters like a caffeina |
| ted monk with a Rubik's Cube. |
\ /
=================================================
\
\
\
\
___-------___
_-~~ ~~-_
_-~ /~-_
/^\__/^\ /~ \ / \
/| O|| O| / \_______________/ \
| |___||__| / / \ \
| \ / / \ \
| (_______) /______/ \_________ \
| / / \ / \
\ \^\\ \ / \ /
\ || \______________/ _-_ //\__//
\ ||------_-~~-_ ------------- \ --/~ ~\ || __/
~-----||====/~ |==================| |/~~~~~
(_(__/ ./ / \_\ \.
(_(___/ \_____)_)
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=46 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 │ -88 │ -81.70679708766357 │ 9 │ 2 │ 1.3500349457 │ 2.874476666 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 2 │ 9 │ 6.824182798676636 │ -21 │ 1 │ 1.3653612999 │ 2.0971363409 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-04-04 00:29:28 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-04-04 00:29:29 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-04-04 00:29:29 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.73 s/job
2026-04-04 00:29:29 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, eval #1/1 start
2026-04-04 00:29:29 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, starting new job
2026-04-04 00:29:29 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, started new job
2026-04-04 00:29:38 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, new result: RESULT1: 1.365361, RESULT2: 2.097136
2026-04-04 00:29:40 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2026-04-04 00:29:42 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2026-04-04 00:29:42 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.49 s/job
2026-04-04 00:29:42 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, 3 done, eval #1/1 start
2026-04-04 00:29:42 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, 3 done, starting new job
2026-04-04 00:29:42 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, 3 done, started new job
2026-04-04 00:29:51 (415c43c4-cdd0-4212-8efc-834e56c80c91): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.453043, RESULT2: 2.403204
2026-04-04 00:29:55 (415c43c4-cdd0-4212-8efc-834e56c80c91): 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
1775262566,743.3046875,28.3
