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,1.851985433699999905599042904214,2.880419344499999922959432296921,-14,-33.53867471218109130859375,-30,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.900099200000000099208818937768,2.711759570099999905323784332722,-85,-51.197403295621299434969841968268,-94,16
2,1777670731,2,fba4ecf0-d043-43fb-aaf1-fd8d12abd105,1777670733,1777670739,6,./.tests/optimization_example --int_param='-4' --float_param='-95.10440863179672987826' --choice_param='8' --int_param_two='-3' --nr_results=2,0,,runnervmeorf1,-4,-3,-95.104408631796729878260521218181,8,2_0,COMPLETED,BOTORCH_MODULAR,1.921015850799999924447547527961,2.148605546799999821416804479668,-4,-95.104408631796729878260521218181,-3,8
3,1777670745,2,fba4ecf0-d043-43fb-aaf1-fd8d12abd105,1777670747,1777670753,6,./.tests/optimization_example --int_param='-5' --float_param='-74.08509042577171044286' --choice_param='4' --int_param_two='-8' --nr_results=2,0,,runnervmeorf1,-5,-8,-74.08509042577171044285933021456,4,3_0,COMPLETED,BOTORCH_MODULAR,1.446244373991250053990142987459,2.691239898416339926257023762446,-5,-74.08509042577171044285933021456,-8,4
========================================================================
Current git-hash: e0ce67c40fab0e66e193d54627cc03525d5ba39d (last fully tested stable version 1 commit ago [b50b0047e00bec42f485a7cfa2dd30407325ab3c, 9288])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-01 21:25:26] 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: 9092754c-f6c3-4c03-a90b-ae845bf7654d
___________________________________________
| OmniOpt2 - Hyperparam magic, just add data! |
===========================================
\
\
\
\
. .
/ `. .' \
.---. < > < > .---.
| \ \ - ~ ~ - / / |
_____ ~-..-~ ~-..-~
| | \~~~\.' `./~~~/
--------- \__/ \__/
.' O \ / / \ "
(_____, `._.' | } \/~~~/
`----. / } | / \__/
`-. | / | / `. ,~~|
~-.__| /_ - ~ ^| /- _ `..-' f: f:
| / | / ~-. `-. _|| _||_
|_____| |_____| ~ - . _ _ _ _ __>
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=75 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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 2 │ -4 │ -95.10440863179673 │ -3 │ 8 │ 1.9210158508 │ 2.1486055468 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -5 │ -74.08509042577171 │ -8 │ 4 │ 1.44624437399125 │ 2.69123989841634 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-05-01 21:25:30 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-01 21:25:31 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-01 21:25:31 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.92 s/job
2026-05-01 21:25:31 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, eval #1/1 start
2026-05-01 21:25:31 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, starting new job
2026-05-01 21:25:31 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, started new job
2026-05-01 21:25:40 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, new result: RESULT1: 1.921016, RESULT2: 2.148606
2026-05-01 21:25:44 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2026-05-01 21:25:45 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2026-05-01 21:25:45 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.50 s/job
2026-05-01 21:25:45 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, 3 done, eval #1/1 start
2026-05-01 21:25:45 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, 3 done, starting new job
2026-05-01 21:25:45 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, 3 done, started new job
2026-05-01 21:25:54 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.446244, RESULT2: 2.691240
2026-05-01 21:26:00 (fba4ecf0-d043-43fb-aaf1-fd8d12abd105): 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
1777670728,773.4609375,26.9