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,1.03359983100000007993912731763,2.411583217000000001206672095577,-65,-62.909217774868011474609375,1,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.635033089500000036409232961887,2.069983152799999892579307925189,-19,6.89233603887259960174560546875,-90,1
2,1766938134,2,da78f3dd-1c7b-46db-af91-576dda06812e,1766938136,1766938142,6,./.tests/optimization_example --int_param='-11' --float_param='-96.65327173287950301983' --choice_param='8' --int_param_two='-51' --nr_results=2,0,,runnervmdwttx,-11,-51,-96.65327173287950301983073586598,8,2_0,COMPLETED,BOTORCH_MODULAR,1.957591578700000001234116098203,2.914472818900000206099321076181,-11,-96.65327173287950301983073586598,-51,8
3,1766938148,1,da78f3dd-1c7b-46db-af91-576dda06812e,1766938149,1766938155,6,./.tests/optimization_example --int_param='-56' --float_param='-23.98252196862382845666' --choice_param='2' --int_param_two='-25' --nr_results=2,0,,runnervmdwttx,-56,-25,-23.982521968623828456657065544277,2,3_0,COMPLETED,BOTORCH_MODULAR,1.080764602943419916414313775022,2.113033370438159863624605350196,-56,-23.982521968623828456657065544277,-25,2
========================================================================
Current git-hash: 1caf8cebfd6257e0c8784a73c3a511fe4c953f90 (last fully tested stable version 2 commits ago [e9ec7f995d4b91a6282e4d4d8b144ef5a7e1aa79, 9191])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-28 16:08:50] 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: d2060a57-d17c-4465-a0be-102dc6cc84a7
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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=446 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 │ -65 │ -62.90921777486801 │ 1 │ 2 │ 1.033599831 │ 2.411583217 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 1 │ -19 │ 6.8923360388726 │ -90 │ 1 │ 1.6350330895 │ 2.0699831528 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -56 │ -23.98252196862383 │ -25 │ 2 │ 1.08076460294342 │ 2.11303337043816 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 16:08:53 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-28 16:08:54 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-12-28 16:08:54 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.78 s/job
2025-12-28 16:08:54 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, eval #1/1 start
2025-12-28 16:08:54 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, starting new job
2025-12-28 16:08:54 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, started new job
2025-12-28 16:09:03 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, new result: RESULT1: 1.957592, RESULT2: 2.914473
2025-12-28 16:09:06 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-12-28 16:09:08 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-12-28 16:09:08 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 1.26 s/job
2025-12-28 16:09:08 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-12-28 16:09:08 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, 3 done, starting new job
2025-12-28 16:09:08 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, 3 done, started new job
2025-12-28 16:09:17 (da78f3dd-1c7b-46db-af91-576dda06812e): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.080765, RESULT2: 2.113033
2025-12-28 16:09:20 (da78f3dd-1c7b-46db-af91-576dda06812e): 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
1766938131,758.94921875,28.4