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,1.698603546800000030359001357283,2.28995558050000003191826181137,-81,-46.25054299831390380859375,-62,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.410323724499999986647935656947,2.052895606099999881166695558932,1,-3.549746942692577178490864753257,-12,hallo
2,1762268174,2,ad7d92ec-b86f-4dd2-960b-99a85aab0a0b,1762268176,1762268182,6,./.tests/optimization_example --int_param='10' --float_param='-65.91309873572744493231' --choice_param='hallo' --int_param_two='10' --nr_results=2,0,,runnervmf2e7y,10,10,-65.913098735727444932308571878821,hallo,2_0,COMPLETED,BOTORCH_MODULAR,1.395943255000000160492845679983,2.524491465700000158989269039012,10,-65.913098735727444932308571878821,10,hallo
3,1762268189,2,ad7d92ec-b86f-4dd2-960b-99a85aab0a0b,1762268191,1762268197,6,./.tests/optimization_example --int_param='-63' --float_param='-4.44514548210562576713' --choice_param='hallo' --int_param_two='10' --nr_results=2,0,,runnervmf2e7y,-63,10,-4.445145482105625767133005865617,hallo,3_0,COMPLETED,BOTORCH_MODULAR,1.958576924939740004916188809148,2.408814849422439952064678436727,-63,-4.445145482105625767133005865617,10,hallo
========================================================================
Current git-hash: 0405e30583155175300351b04ffe6598148a663e (last fully tested stable version 3 commits ago [4234251da23ca4c1533f0765399f244bdc2000bc, 9056])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-04 14:56:08] 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: ab8d3301-1571-4674-b510-16f3d8a55bb3
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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=111 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 │ 1 │ -3.549746942692577 │ -12 │ hallo │ 1.4103237245 │ 2.0528956061 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼────────────────────┼──────────────┤
│ 2 │ 10 │ -65.91309873572744 │ 10 │ hallo │ 1.3959432550000002 │ 2.5244914657 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴────────────────────┴──────────────┘
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 14:56:12 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-11-04 14:56:14 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-11-04 14:56:14 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.75 s/job
2025-11-04 14:56:14 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, eval #1/1 start
2025-11-04 14:56:14 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, starting new job
2025-11-04 14:56:14 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, started new job
2025-11-04 14:56:23 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, new result: RESULT1: 1.395943, RESULT2: 2.524491
2025-11-04 14:56:27 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-11-04 14:56:29 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-11-04 14:56:29 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 2.50 s/job
2025-11-04 14:56:29 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-11-04 14:56:29 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, 3 done, starting new job
2025-11-04 14:56:30 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, 3 done, started new job
2025-11-04 14:56:39 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.958577, RESULT2: 2.408815
2025-11-04 14:56:42 (ad7d92ec-b86f-4dd2-960b-99a85aab0a0b): 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
1762268169,778.65234375,27