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,1.394269931399999995491612025944,2.536412007700000081911184679484,-26,-99.117027707397937774658203125,-99,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.192322406099999954065538076975,2.893205251899999996822998582502,-36,9.09530014730989933013916015625,1,1
2,1763646661,2,dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b,1763646663,1763646669,6,./.tests/optimization_example --int_param='-86' --float_param='-96.48484383808110464997' --choice_param='hallo' --int_param_two='-3' --nr_results=2,0,,runnervmg1sw1,-86,-3,-96.484843838081104649972985498607,hallo,2_0,COMPLETED,BOTORCH_MODULAR,1.226241033400000013386943464866,2.384211441600000203067111215205,-86,-96.484843838081104649972985498607,-3,hallo
3,1763646678,2,dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b,1763646680,1763646686,6,./.tests/optimization_example --int_param='-68' --float_param='-55.56606277868948495779' --choice_param='hallo' --int_param_two='10' --nr_results=2,0,,runnervmg1sw1,-68,10,-55.566062778689484957794775255024,hallo,3_0,COMPLETED,BOTORCH_MODULAR,1.092845035790559915511721555959,2.629495184260549844879051306634,-68,-55.566062778689484957794775255024,10,hallo
========================================================================
Current git-hash: e16cc47f68741e1b27528fd70f714f7e1341746b (last fully tested stable version 2 commits ago [184950ddc2ff417bb4c0315dffdeac7715a7f11f, 9086])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-20 13:50:54] 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: 0644aa85-37df-44ef-b1b6-a2e893618043
___________________________________
| OmniOpt2 - Fine-tuning like a boss! |
===================================
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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=231 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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 2 │ -86 │ -96.4848438380811 │ -3 │ hallo │ 1.2262410334 │ 2.3842114416 │
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -68 │ -55.566062778689485 │ 10 │ hallo │ 1.09284503579056 │ 2.62949518426055 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-11-20 13:51:00 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-11-20 13:51:01 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-11-20 13:51:01 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.23 s/job
2025-11-20 13:51:01 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, eval #1/1 start
2025-11-20 13:51:01 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, starting new job
2025-11-20 13:51:01 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, started new job
2025-11-20 13:51:10 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, new result: RESULT1: 1.226241, RESULT2: 2.384211
2025-11-20 13:51:15 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-11-20 13:51:18 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-11-20 13:51:18 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 2.55 s/job
2025-11-20 13:51:18 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-11-20 13:51:18 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, 3 done, starting new job
2025-11-20 13:51:18 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, 3 done, started new job
2025-11-20 13:51:27 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.092845, RESULT2: 2.629495
2025-11-20 13:51:33 (dcaf80d7-d35e-4839-9ab5-7eb8f24ab24b): 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
1763646655,780.6796875,27.1