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,1.050352114100000067153928284824,2.887645111499999917015202299808,-45,-28.95706355571746826171875,-100,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.663028310600000114760632641264,2.837806726700000226060183194932,-48,-97.228925777245166273132781498134,-6,8
2,1766924556,1,0ed410d8-bbf7-4fbc-9948-b89f600f64d8,1766924557,1766924563,6,./.tests/optimization_example --int_param='3' --float_param='-36.8654960523792496474' --choice_param='4' --int_param_two='-11' --nr_results=2,0,,runnervmdwttx,3,-11,-36.865496052379249647401593392715,4,2_0,COMPLETED,BOTORCH_MODULAR,1.379760777200000010367375580245,2.184415322600000042285728341085,3,-36.865496052379249647401593392715,-11,4
3,1766924569,2,0ed410d8-bbf7-4fbc-9948-b89f600f64d8,1766924571,1766924577,6,./.tests/optimization_example --int_param='-15' --float_param='-26.8732452593872856994' --choice_param='4' --int_param_two='-63' --nr_results=2,0,,runnervmdwttx,-15,-63,-26.873245259387285699403946637176,4,3_0,COMPLETED,BOTORCH_MODULAR,1.395942147662029952925877296366,2.988711452202069907002623949666,-15,-26.873245259387285699403946637176,-63,4
========================================================================
Current git-hash: a9c21ad87ea89b1e05ea7b0e72bb8d5bea0cacb9 (last fully tested stable version 1 commit ago [484a394c42320d418cbef555884a92b8c8b30895, 9172])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-28 12:22:32] 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: c762596c-4d71-4834-b2c5-b73d16ee651c
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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=397 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 │ -45 │ -28.95706355571747 │ -100 │ 1 │ 1.0503521141 │ 2.8876451115 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 2 │ 3 │ -36.86549605237925 │ -11 │ 4 │ 1.3797607772 │ 2.1844153226 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 12:22:35 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-28 12:22:36 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-12-28 12:22:36 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.65 s/job
2025-12-28 12:22:36 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, eval #1/1 start
2025-12-28 12:22:36 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, starting new job
2025-12-28 12:22:36 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, started new job
2025-12-28 12:22:45 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, new result: RESULT1: 1.379761, RESULT2: 2.184415
2025-12-28 12:22:47 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-12-28 12:22:49 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-12-28 12:22:49 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.29 s/job
2025-12-28 12:22:49 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-12-28 12:22:49 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, 3 done, starting new job
2025-12-28 12:22:49 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, 3 done, started new job
2025-12-28 12:22:58 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.395942, RESULT2: 2.988711
2025-12-28 12:23:01 (0ed410d8-bbf7-4fbc-9948-b89f600f64d8): 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
1766924553,758.91015625,28.7