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
0,1779964813,2,9d96a709-99a1-41fd-862b-d15705470633,1779964815,1779964821,6,./.tests/optimization_example --int_param='-31' --float_param='-75.26993080973625183105' --choice_param='hallo' --int_param_two='6' --nr_results=2,0,,runnervmg397c,-31,6,-75.2699308097362518310546875,hallo,0_0,COMPLETED,SOBOL,1.016708805099999946008892948157,2.322996732900000083077429735567,-31,-75.2699308097362518310546875,6,hallo
1,1779964824,2,9d96a709-99a1-41fd-862b-d15705470633,1779964826,1779964832,6,./.tests/optimization_example --int_param='-74' --float_param='-1.91835352277350912331' --choice_param='1' --int_param_two='-77' --nr_results=2,0,,runnervmg397c,-74,-77,-1.918353522773508901266836801369,1,1_0,COMPLETED,BOTORCH_MODULAR,1.10661974905906990152004709671,2.179037137047520111821086175041,-74,-1.918353522773509123311441726401,-77,1
========================================================================
Current git-hash: 5c399eb6c53d4165f4e4c5d4191a2115cad88c0b (last fully tested stable version 5 commits ago [3d587dc4b297f4e0db9767b04ad80de912dc9888, 9335])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-28 10:40:08] ax.storage.sqa_store.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]`.
Run-UUID: 2e14510b-6ff4-46c9-b221-b4a28cca6b50
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_________________________________________________
/ \
| OmniOpt2 - As timeless as Metropolis, but with be |
| tter optimization. |
\ /
=================================================
\
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/.-~
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=multi_results_2_results_BOTORCH_MODULAR --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2ljZV9wYXJhbSknICAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0yCg== --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --follow --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --result_names RESULT1=min RESULT2=min --model=BOTORCH_MODULAR --generate_all_jobs_at_once
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=14 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
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 │ range │ -100 │ 10 │ │ int │ No │
│ float_param │ range │ -100 │ 10 │ │ float │ No │
│ choice_param │ choice │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ range │ -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 │ -31 │ -75.26993080973625 │ 6 │ hallo │ 1.0167088051 │ 2.3229967329 │
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 1 │ -74 │ -1.9183535227735091 │ -77 │ 1 │ 1.10661974905907 │ 2.17903713704752 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted │
│ ⏱️ Duration: 40s │
│ 🏆 Best RESULT1: 1.0167088051 │
│ 🏆 Best RESULT2: 2.17903713704752 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/0/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-28 10:40:13 (9d96a709-99a1-41fd-862b-d15705470633): SOBOL, Started OmniOpt2 run...
2026-05-28 10:40:13 (9d96a709-99a1-41fd-862b-d15705470633): SOBOL, getting new HP set (no sbatch)
2026-05-28 10:40:13 (9d96a709-99a1-41fd-862b-d15705470633): SOBOL, requested 1 jobs, got 1, 0.05 s/job
2026-05-28 10:40:13 (9d96a709-99a1-41fd-862b-d15705470633): SOBOL, eval #1/1 start
2026-05-28 10:40:13 (9d96a709-99a1-41fd-862b-d15705470633): SOBOL, starting new job
2026-05-28 10:40:13 (9d96a709-99a1-41fd-862b-d15705470633): SOBOL, started new job
2026-05-28 10:40:22 (9d96a709-99a1-41fd-862b-d15705470633): SOBOL, new result: RESULT1: 1.016709, RESULT2: 2.322997
2026-05-28 10:40:23 (9d96a709-99a1-41fd-862b-d15705470633): SOBOL, 1 done, finishing jobs, finished 1 job
2026-05-28 10:40:24 (9d96a709-99a1-41fd-862b-d15705470633): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-05-28 10:40:24 (9d96a709-99a1-41fd-862b-d15705470633): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.72 s/job
2026-05-28 10:40:24 (9d96a709-99a1-41fd-862b-d15705470633): BOTORCH_MODULAR, 1 done, eval #1/1 start
2026-05-28 10:40:24 (9d96a709-99a1-41fd-862b-d15705470633): BOTORCH_MODULAR, 1 done, starting new job
2026-05-28 10:40:24 (9d96a709-99a1-41fd-862b-d15705470633): BOTORCH_MODULAR, 1 done, started new job
2026-05-28 10:40:33 (9d96a709-99a1-41fd-862b-d15705470633): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.106620, RESULT2: 2.179037
2026-05-28 10:40:37 (9d96a709-99a1-41fd-862b-d15705470633): BOTORCH_MODULAR, 2 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
1779964809,781.1953125,26.9