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,1.232195191199999984021928867151,2.063915682300000220550373342121,-98,-45.282057821750640869140625,-85,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.004053591599999961658795655239,2.496015292700000109960001282161,8,5.69749705493450164794921875,9,16
2,1778325796,2,1c2084bc-1a77-4134-8898-258a180ffdc9,1778325798,1778325804,6,./.tests/optimization_example --int_param='7' --float_param='-29.14802617926310546181' --choice_param='hallo' --int_param_two='-73' --nr_results=2,0,,runnervmrc6n4,7,-73,-29.148026179263105461814120644704,hallo,2_0,COMPLETED,BOTORCH_MODULAR,1.240012371499999987989326655224,2.783486978000000000577074388275,7,-29.148026179263105461814120644704,-73,hallo
3,1778325809,2,1c2084bc-1a77-4134-8898-258a180ffdc9,1778325811,1778325817,6,./.tests/optimization_example --int_param='-51' --float_param='-8.86148548099289534719' --choice_param='16' --int_param_two='-9' --nr_results=2,0,,runnervmrc6n4,-51,-9,-8.86148548099289357082852802705,16,3_0,COMPLETED,BOTORCH_MODULAR,1.584994690100760106332700161147,2.84586832751252982731671181682,-51,-8.861485480992895347185367427301,-9,16
========================================================================
Current git-hash: af4d9dc63de58ad2f202b26f252819cc15e559b1 (last fully tested stable version 1 commit ago [cf2e55626bebd49c2a46db8f8463040a3a7c5932, 9301])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-09 11:23:13] 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: 0d07ed52-f657-4edc-a9c1-8ea935fe2360
_________________________________________________
/ \
| OmniOpt2 - Cranking the dials like a mad scientis |
| t - IT’S ALIIIIVE! |
\ /
=================================================
\
\
\
\
___-------___
_-~~ ~~-_
_-~ /~-_
/^\__/^\ /~ \ / \
/| 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=118 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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 0 │ -98 │ -45.28205782175064 │ -85 │ 8 │ 1.2321951912 │ 2.0639156823 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 1 │ 8 │ 5.697497054934502 │ 9 │ 16 │ 1.0040535916 │ 2.4960152927 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-05-09 11:23:15 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-09 11:23:16 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-09 11:23:16 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.69 s/job
2026-05-09 11:23:16 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, eval #1/1 start
2026-05-09 11:23:16 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, starting new job
2026-05-09 11:23:16 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, started new job
2026-05-09 11:23:25 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, new result: RESULT1: 1.240012, RESULT2: 2.783487
2026-05-09 11:23:27 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2026-05-09 11:23:29 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2026-05-09 11:23:29 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.42 s/job
2026-05-09 11:23:29 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, 3 done, eval #1/1 start
2026-05-09 11:23:29 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, 3 done, starting new job
2026-05-09 11:23:29 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, 3 done, started new job
2026-05-09 11:23:38 (1c2084bc-1a77-4134-8898-258a180ffdc9): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.584995, RESULT2: 2.845868
2026-05-09 11:23:40 (1c2084bc-1a77-4134-8898-258a180ffdc9): 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
1778325793,743.9921875,28.1