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
0,1778375030,1,66eb4cf9-f16e-4f5e-91d4-cd481a8a9609,1778375031,1778375037,6,./.tests/optimization_example --int_param='-37' --float_param='-91.70285344123840332031' --choice_param='4' --int_param_two='-100' --nr_results=2,0,,runnervmrc6n4,-37,-100,-91.7028534412384033203125,4,0_0,COMPLETED,SOBOL,1.964587190300000063558627516613,2.0288613237000001632281964703,-37,-91.7028534412384033203125,-100,4
1,1778375040,1,66eb4cf9-f16e-4f5e-91d4-cd481a8a9609,1778375041,1778375047,6,./.tests/optimization_example --int_param='-21' --float_param='0.02193802365159886261' --choice_param='1' --int_param_two='-7' --nr_results=2,0,,runnervmrc6n4,-21,-7,0.021938023651598800162210167741,1,1_0,COMPLETED,BOTORCH_MODULAR,1.484445030409009991245739001897,2.831318942687599982122037545196,-21,0.021938023651598862612255302906,-7,1
========================================================================
Current git-hash: 01b08d618b49d942e55420979b7925f87f54957e (last fully tested stable version 14 commits ago [5268678be516a64d8bfe1ff0d3bbd05a6f0bcdd2, 9305])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-10 01:03:47] 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]`.
Run-UUID: 936112ad-d9a6-4416-9bd5-3827d4303939
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/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_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_____ _____ __ ___
/\ __`\ __/\ __`\ /\ \__ /'___`\
\ \ \/\ \ ___ ___ ___ /\_\ \ \/\ \ _____\ \ ,_\/\_\ /\ \
\ \ \ \ \ /' __` __`\ /' _ `\/\ \ \ \ \ \/\ '__`\ \ \/\/_/// /__
\ \ \_\ \/\ \/\ \/\ \/\ \/\ \ \ \ \ \_\ \ \ \L\ \ \ \_ // /_\ \
\ \_____\ \_\ \_\ \_\ \_\ \_\ \_\ \_____\ \ ,__/\ \__\/\______/
\/_____/\/_/\/_/\/_/\/_/\/_/\/_/\/_____/\ \ \/ \/__/\/_____/
\ \_\
\/_/
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=TRANSFORMS_no_transforms --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0y --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 --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --result_names RESULT1=min RESULT2=min --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_no_transforms/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=TRANSFORMS_no_transforms&run_nr=68 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 │ -37 │ -91.7028534412384 │ -100 │ 4 │ 1.9645871903 │ 2.0288613237 │
├─────────────┼───────────┼──────────────────────┼───────────────┼──────────────┼──────────────────┼─────────────────┤
│ 1 │ -21 │ 0.021938023651598863 │ -7 │ 1 │ 1.48444503040901 │ 2.8313189426876 │
└─────────────┴───────────┴──────────────────────┴───────────────┴──────────────┴──────────────────┴─────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.024 │ 1 │ 0.024 │
│ 2 │ 0.813 │ 1 │ 0.813 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.419 │ │ │
│ Median │ 0.419 │ │ │
│ Total │ 0.837 │ │ │
│ Max │ 0.813 │ │ │
│ Min │ 0.024 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.093 │ 1 │ 0.093 │
│ 2 │ 0.082 │ 1 │ 0.082 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.087 │ │ │
│ Median │ 0.087 │ │ │
│ Total │ 0.174 │ │ │
│ Max │ 0.093 │ │ │
│ Min │ 0.082 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted │
│ ⏱️ Duration: 30s │
│ 🏆 Best RESULT1: 1.48444503040901 │
│ 🏆 Best RESULT2: 2.0288613237 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_no_transforms/0/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-10 01:03:50 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): SOBOL, Started OmniOpt2 run...
2026-05-10 01:03:50 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): SOBOL, getting new HP set (no sbatch)
2026-05-10 01:03:50 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2026-05-10 01:03:50 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): SOBOL, eval #1/1 start
2026-05-10 01:03:50 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): SOBOL, starting new job
2026-05-10 01:03:50 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): SOBOL, started new job
2026-05-10 01:03:58 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): SOBOL, new result: RESULT1: 1.964587, RESULT2: 2.028861
2026-05-10 01:03:59 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): SOBOL, 1 done, finishing jobs, finished 1 job
2026-05-10 01:04:00 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-05-10 01:04:00 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.81 s/job
2026-05-10 01:04:00 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): BOTORCH_MODULAR, 1 done, eval #1/1 start
2026-05-10 01:04:00 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): BOTORCH_MODULAR, 1 done, starting new job
2026-05-10 01:04:00 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): BOTORCH_MODULAR, 1 done, started new job
2026-05-10 01:04:08 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.484445, RESULT2: 2.831319
2026-05-10 01:04:11 (66eb4cf9-f16e-4f5e-91d4-cd481a8a9609): 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
1778375028,741.75,28.7