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,1.547077729900000031548756851407,2.711619808200000036890742194373,-56,-2.83863842487335205078125,-75,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.718738328699999984294777277682,2.623269335699999871280851948541,-96,-94.789322923014935895480448380113,-3,hallo
2,1762268262,2,64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4,1762268264,1762268270,6,./.tests/optimization_example --int_param='7' --float_param='-71.04418062129174415986' --choice_param='1' --int_param_two='-100' --nr_results=2,0,,runnervmf2e7y,7,-100,-71.044180621291744159861991647631,1,2_0,COMPLETED,BOTORCH_MODULAR,1.191414943500000100939928415755,2.737530330100000242055102717131,7,-71.044180621291744159861991647631,-100,1
3,1762268278,2,64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4,1762268280,1762268286,6,./.tests/optimization_example --int_param='-41' --float_param='-91.89114450758192731428' --choice_param='1' --int_param_two='-35' --nr_results=2,0,,runnervmf2e7y,-41,-35,-91.891144507581913103422266431153,1,3_0,COMPLETED,BOTORCH_MODULAR,1.429398604043859988266262917023,2.059795670767440078918752988102,-41,-91.891144507581927314276981633157,-35,1
========================================================================
Current git-hash: 919d52a3a619af9f3e3b814b906beca36562fc7c (last fully tested stable version 2 commits ago [4234251da23ca4c1533f0765399f244bdc2000bc, 9056])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-04 14:57:37] 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: 414e02d8-b7b8-4f13-bae9-23e8144e6a44
_________________________________________________
/ \
| OmniOpt2 - Optimizing like it's the Matrix, but I |
| am the One. |
\ /
=================================================
\
\
\
\
. .
/ `. .' \
.---. < > < > .---.
| \ \ - ~ ~ - / / |
_____ ~-..-~ ~-..-~
| | \~~~\.' `./~~~/
--------- \__/ \__/
.' 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=113 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 │ 7 │ -71.04418062129174 │ -100 │ 1 │ 1.1914149435 │ 2.7375303301000002 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼────────────────────┤
│ 3 │ -41 │ -91.89114450758193 │ -35 │ 1 │ 1.42939860404386 │ 2.05979567076744 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴────────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-11-04 14:57:41 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-11-04 14:57:42 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-11-04 14:57:42 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.08 s/job
2025-11-04 14:57:42 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, eval #1/1 start
2025-11-04 14:57:42 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, starting new job
2025-11-04 14:57:42 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, started new job
2025-11-04 14:57:51 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, new result: RESULT1: 1.191415, RESULT2: 2.737530
2025-11-04 14:57:55 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-11-04 14:57:58 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-11-04 14:57:58 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 2.78 s/job
2025-11-04 14:57:58 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-11-04 14:57:58 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, 3 done, starting new job
2025-11-04 14:57:58 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, 3 done, started new job
2025-11-04 14:58:07 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.429399, RESULT2: 2.059796
2025-11-04 14:58:10 (64e7a4be-c217-4b8c-a3b6-1f8ec5bf42e4): 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
1762268258,778.34765625,27.1