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,1.100203537200000081242023952655,2.222169875300000096984831543523,-85,-96.19203992187976837158203125,-38,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.15208475229999995903540366271,2.29538728629999999597544046992,9,-9.218259060553945616334203805309,-72,hallo
2,1766939593,2,78b724b9-4a76-469f-a0e2-6575e39cc73b,1766939595,1766939601,6,./.tests/optimization_example --int_param='-100' --float_param='-42.84957069674932483849' --choice_param='1' --int_param_two='10' --nr_results=2,0,,runnervmh13bl,-100,10,-42.849570696749324838492611888796,1,2_0,COMPLETED,BOTORCH_MODULAR,1.297215809899999960919103614287,2.899971626800000201740203920053,-100,-42.849570696749324838492611888796,10,1
3,1766939607,2,78b724b9-4a76-469f-a0e2-6575e39cc73b,1766939609,1766939615,6,./.tests/optimization_example --int_param='-69' --float_param='-100' --choice_param='1' --int_param_two='-89' --nr_results=2,0,,runnervmh13bl,-69,-89,-100,1,3_0,COMPLETED,BOTORCH_MODULAR,1.927627725134700042985969048459,2.016792257174050195800418805447,-69,-100,-89,1
========================================================================
Current git-hash: b050738fbdd2e7450e0ffeaed15c7f77d52d5628 (version: 9192)
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-28 16:33:08] 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: 032edc93-d543-4b42-98f7-1fb4725b5206
_________________________________________________
/ \
| OmniOpt2 - Cranking the dials like a mad scientis |
| t - IT’S ALIIIIVE! |
\ /
=================================================
\
\
\
\
. .
/ `. .' \
.---. < > < > .---.
| \ \ - ~ ~ - / / |
_____ ~-..-~ ~-..-~
| | \~~~\.' `./~~~/
--------- \__/ \__/
.' 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=449 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 │ -85 │ -96.19203992187977 │ -38 │ 1 │ 1.1002035372 │ 2.2221698753 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼─────────────────┼──────────────────┤
│ 3 │ -69 │ -100 │ -89 │ 1 │ 1.9276277251347 │ 2.01679225717405 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴─────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-12-28 16:33:12 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-28 16:33:13 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-12-28 16:33:13 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.08 s/job
2025-12-28 16:33:13 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, eval #1/1 start
2025-12-28 16:33:13 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, starting new job
2025-12-28 16:33:13 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, started new job
2025-12-28 16:33:22 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, new result: RESULT1: 1.297216, RESULT2: 2.899972
2025-12-28 16:33:25 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-12-28 16:33:27 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-12-28 16:33:27 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.24 s/job
2025-12-28 16:33:27 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-12-28 16:33:27 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, 3 done, starting new job
2025-12-28 16:33:27 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, 3 done, started new job
2025-12-28 16:33:36 (78b724b9-4a76-469f-a0e2-6575e39cc73b): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.927628, RESULT2: 2.016792
2025-12-28 16:33:39 (78b724b9-4a76-469f-a0e2-6575e39cc73b): 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
1766939589,786.734375,27.1