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,1.90497030070000006318764462776,2.646255636200000260771503235446,-29,-56.135240495204925537109375,-55,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.69250605360000005994436378387,2.422188321500000185437784239184,-89,-5.458681202249971775586345756892,-30,1
2,1777669760,2,dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e,1777669762,1777669768,6,./.tests/optimization_example --int_param='-100' --float_param='10' --choice_param='1' --int_param_two='-96' --nr_results=2,0,,runnervmeorf1,-100,-96,10,1,2_0,COMPLETED,BOTORCH_MODULAR,1.954353752400000088229603534273,2.262942643000000142450289786211,-100,10,-96,1
3,1777669774,2,dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e,1777669776,1777669782,6,./.tests/optimization_example --int_param='-100' --float_param='10' --choice_param='1' --int_param_two='-55' --nr_results=2,0,,runnervmeorf1,-100,-55,10,1,3_0,COMPLETED,BOTORCH_MODULAR,1.246474844011580040969988658617,2.709458388245789883796987851383,-100,10,-55,1
========================================================================
Current git-hash: b50b0047e00bec42f485a7cfa2dd30407325ab3c (version: 9288)
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-01 21:09:15] 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: a6c7e3bd-08ab-43fd-ac56-688dbcde35dd
_________________________________________________
/ \
| OmniOpt2 - Hyperparameter tuning: The philosopher |
| ’s stone of deep learning. |
\ /
=================================================
\
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\
. .
/ `. .' \
.---. < > < > .---.
| \ \ - ~ ~ - / / |
_____ ~-..-~ ~-..-~
| | \~~~\.' `./~~~/
--------- \__/ \__/
.' 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=68 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 │ -89 │ -5.458681202249972 │ -30 │ 1 │ 1.6925060536 │ 2.4221883215 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 2 │ -100 │ 10 │ -96 │ 1 │ 1.9543537524 │ 2.262942643 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -100 │ 10 │ -55 │ 1 │ 1.24647484401158 │ 2.70945838824579 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 21:09:19 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-01 21:09:20 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-01 21:09:20 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.00 s/job
2026-05-01 21:09:20 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, eval #1/1 start
2026-05-01 21:09:20 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, starting new job
2026-05-01 21:09:20 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, started new job
2026-05-01 21:09:29 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, new result: RESULT1: 1.954354, RESULT2: 2.262943
2026-05-01 21:09:33 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2026-05-01 21:09:34 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2026-05-01 21:09:34 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.38 s/job
2026-05-01 21:09:34 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, 3 done, eval #1/1 start
2026-05-01 21:09:34 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, 3 done, starting new job
2026-05-01 21:09:34 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, 3 done, started new job
2026-05-01 21:09:43 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.246475, RESULT2: 2.709458
2026-05-01 21:09:46 (dc5b19d1-abe4-4c8c-af5d-40faaf5feb0e): 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
1777669757,773.9375,26.9