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,1.558410898900000063349580159411,2.859279440999999977179868437815,-30,-72.283205687999725341796875,-83,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.10552005850000001352384515485,2.316897892700000127774728753138,-93,1.127408963972148292498332011746,10,hallo
2,1774158863,2,1d1f63b1-85d2-4c89-83a7-27ed297ab0dc,1774158865,1774158871,6,./.tests/optimization_example --int_param='-24' --float_param='10' --choice_param='hallo' --int_param_two='10' --nr_results=2,0,,runnervm46oaq,-24,10,10,hallo,2_0,COMPLETED,BOTORCH_MODULAR,1.382155138399999927401040622499,2.498446561000000176733237822191,-24,10,10,hallo
3,1774158877,2,1d1f63b1-85d2-4c89-83a7-27ed297ab0dc,1774158879,1774158885,6,./.tests/optimization_example --int_param='-100' --float_param='-51.06590533001124754264' --choice_param='hallo' --int_param_two='10' --nr_results=2,0,,runnervm46oaq,-100,10,-51.065905330011247542643104679883,hallo,3_0,COMPLETED,BOTORCH_MODULAR,1.567174707845879977341496669396,2.486482457813929958234666628414,-100,-51.065905330011247542643104679883,10,hallo
========================================================================
Current git-hash: ddb405379e934ab3c2f2cc6ec0a4817962090116 (version: 9275)
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 03-22 05:54:18] 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]`.
Using old run's --time: 60
Using old run's --gpus: 0
Using old run's --max_eval: 2
Run-UUID: d4e764e9-a8c3-48f1-87a4-5656408fd0b3
_________________________________________________
/ \
| OmniOpt2 - Grid search? Please, I’m doing ballet |
| through parameter space. |
\ /
=================================================
\
\
\
\
___-------___
_-~~ ~~-_
_-~ /~-_
/^\__/^\ /~ \ / \
/| 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=36 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 │ -93 │ 1.1274089639721483 │ 10 │ hallo │ 1.1055200585 │ 2.3168978927 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-03-22 05:54:22 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-03-22 05:54:23 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-03-22 05:54:23 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.13 s/job
2026-03-22 05:54:23 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, eval #1/1 start
2026-03-22 05:54:23 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, starting new job
2026-03-22 05:54:23 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, started new job
2026-03-22 05:54:32 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, new result: RESULT1: 1.382155, RESULT2: 2.498447
2026-03-22 05:54:36 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2026-03-22 05:54:37 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2026-03-22 05:54:37 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.12 s/job
2026-03-22 05:54:37 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, 3 done, eval #1/1 start
2026-03-22 05:54:37 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, 3 done, starting new job
2026-03-22 05:54:37 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, 3 done, started new job
2026-03-22 05:54:46 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.567175, RESULT2: 2.486482
2026-03-22 05:54:49 (1d1f63b1-85d2-4c89-83a7-27ed297ab0dc): 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
1774158860,799.76953125,27.1