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,1.827612406400000111261761048809,2.272177298599999950567962514469,-31,-54.115710556507110595703125,-4,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.04690735539999990599824286619,2.009846837800000063367633629241,-91,-26.054494452035267926248707226478,-98,2
2,1764251886,2,4e522927-9b78-4d57-abec-4f4ae3405a41,1764251888,1764251894,6,./.tests/optimization_example --int_param='-100' --float_param='-95.83598084949126416632' --choice_param='2' --int_param_two='-100' --nr_results=2,0,,runnervmg1sw1,-100,-100,-95.835980849491264166317705530673,2,2_0,COMPLETED,BOTORCH_MODULAR,1.997621875300000127140265249182,2.942611680699999787691467645345,-100,-95.835980849491264166317705530673,-100,2
3,1764251901,2,4e522927-9b78-4d57-abec-4f4ae3405a41,1764251903,1764251909,6,./.tests/optimization_example --int_param='-89' --float_param='-4.54463328897737106615' --choice_param='2' --int_param_two='-98' --nr_results=2,0,,runnervmg1sw1,-89,-98,-4.544633288977371066152954881545,2,3_0,COMPLETED,BOTORCH_MODULAR,1.019451584973469993045114279084,2.139423665215390180094345851103,-89,-4.544633288977371066152954881545,-98,2
========================================================================
Current git-hash: 149338e20c0f6b4e7b249fcb8ee3d494e899b2b1 (last fully tested stable version 1 commit ago [295a941be2849d56cd13184aa0de9ffc12b8e21e, 9122])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-27 13:57:59] 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: a9137d9d-45ec-4dae-91e6-3f7b4b55cbab
____ _ ____ _ ___
/ __ \ (_)/ __ \ | | |__ \
| | | |_ __ ___ _ __ _| | | |_ __ | |_ ) |
| | | | '_ ` _ \| '_ \| | | | | '_ \| __| / /
| |__| | | | | | | | | | | |__| | |_) | |_ / /_
\____/|_| |_| |_|_| |_|_|\____/| .__/ \__|____|
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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=263 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 │ -91 │ -26.054494452035268 │ -98 │ 2 │ 1.0469073554 │ 2.0098468378 │
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -89 │ -4.544633288977371 │ -98 │ 2 │ 1.01945158497347 │ 2.13942366521539 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-11-27 13:58:05 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-11-27 13:58:06 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-11-27 13:58:06 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.98 s/job
2025-11-27 13:58:06 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, eval #1/1 start
2025-11-27 13:58:06 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, starting new job
2025-11-27 13:58:06 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, started new job
2025-11-27 13:58:15 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, new result: RESULT1: 1.997622, RESULT2: 2.942612
2025-11-27 13:58:20 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-11-27 13:58:21 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-11-27 13:58:21 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.18 s/job
2025-11-27 13:58:21 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-11-27 13:58:21 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, 3 done, starting new job
2025-11-27 13:58:21 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, 3 done, started new job
2025-11-27 13:58:31 (4e522927-9b78-4d57-abec-4f4ae3405a41): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.019452, RESULT2: 2.139424
2025-11-27 13:58:35 (4e522927-9b78-4d57-abec-4f4ae3405a41): 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
1764251881,786.6484375,27