Copy raw data to clipboard
Download »results.csv« as file
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,RESULT,int_param,float_param,int_param_two,choice_param
0,1784181316,2,15a412ef-4da9-4cec-bb1e-36e7a3601ba8,1784181318,1784181324,6,./.tests/optimization_example --int_param='-75' --float_param='-97.4785310402512550354' --choice_param='16' --int_param_two='-38' --nr_results=1,0,,runnervmos4r4,-75,-38,-97.478531040251226613690960220993,16,0_0,COMPLETED,SOBOL,-188815.413241676986217498779296875,-75,-97.478531040251255035400390625,-38,16
1,1784181326,1,15a412ef-4da9-4cec-bb1e-36e7a3601ba8,1784181327,1784181333,6,./.tests/optimization_example --int_param='-13' --float_param='4.86805365446394322504' --choice_param='2' --int_param_two='-60' --nr_results=1,0,,runnervmos4r4,-13,-60,4.868053654463943225039201934123,2,1_0,COMPLETED,BOTORCH_MODULAR,-45164.29409838099672924727201461792,-13,4.868053654463943225039201934123,-60,2
Copy raw data to clipboard
Download »results.csv« as file
Copy raw data to clipboard
Download »outfile« as file
========================================================================
Current git-hash: 611f002d8dffbbf7205b3e78c037f864a1724a32 (last fully tested stable version 24 commits ago [4d604d1144428d61572f1a083b390631a8aef853, 9346])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-16 05:55:13] 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: b371d3d6-0607-4508-bb85-09e95406eb8a
/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=__main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --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 --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/ 0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=167 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=1
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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Best RESULT, min (total: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -75 │ -38 │ -97.47853104025123 │ 16 │ -75 │ -97.47853104025126 │ -38 │ 16 │ -188815.413241677 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │ 0.029 │ 1 │ 0.029 │
│ 2 │ 0.313 │ 1 │ 0.313 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.171 │ │ │
│ Median │ 0.171 │ │ │
│ Total │ 0.342 │ │ │
│ Max │ 0.313 │ │ │
│ Min │ 0.029 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.100 │ 1 │ 0.100 │
│ 2 │ 0.065 │ 1 │ 0.065 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.083 │ │ │
│ Median │ 0.083 │ │ │
│ Total │ 0.166 │ │ │
│ Max │ 0.100 │ │ │
│ Min │ 0.065 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭─ ─────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ─────────────────────────────────────────────────────────────────────────────────────── ─╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted │
│ ⏱️ Duration: 28s │
│ 🏆 Best RESULT: -188815.413241677 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Copy raw data to clipboard
Download »outfile« as file
Copy raw data to clipboard
Download »progressbar« as file
2026-07-16 05:55:16 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): SOBOL, Started OmniOpt2 run...
2026-07-16 05:55:16 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): SOBOL, getting new HP set (no sbatch)
2026-07-16 05:55:16 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-07-16 05:55:16 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): SOBOL, eval #1/1 start
2026-07-16 05:55:16 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): SOBOL, starting new job
2026-07-16 05:55:16 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): SOBOL, started new job
2026-07-16 05:55:24 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): SOBOL, new result: RESULT: -188815.413242
2026-07-16 05:55:25 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): SOBOL, best RESULT: -188815.413241677, finishing jobs, finished 1 job
2026-07-16 05:55:26 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): BOTORCH_MODULAR, best RESULT: -188815.413241677, getting new HP set (no sbatch)
2026-07-16 05:55:26 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): BOTORCH_MODULAR, best RESULT: -188815.413241677, requested 1 jobs, got 1, 0.31 s/job
2026-07-16 05:55:26 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): BOTORCH_MODULAR, best RESULT: -188815.413241677, eval #1/1 start
2026-07-16 05:55:26 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): BOTORCH_MODULAR, best RESULT: -188815.413241677, starting new job
2026-07-16 05:55:26 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): BOTORCH_MODULAR, best RESULT: -188815.413241677, started new job
2026-07-16 05:55:34 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): BOTORCH_MODULAR, best RESULT: -188815.413241677, new result: RESULT: -45164.294098
2026-07-16 05:55:36 (15a412ef-4da9-4cec-bb1e-36e7a3601ba8): BOTORCH_MODULAR, best RESULT: -188815.413241677, █▁, finishing jobs, finished 1 job
Copy raw data to clipboard
Download »progressbar« as file
This logs the CPU and RAM usage of the main worker process.
Copy raw data to clipboard
Download »cpu_ram_usage.csv« as file
timestamp,ram_usage_mb,cpu_usage_percent
1784181313,753.2578125,28.9 Copy raw data to clipboard
Download »cpu_ram_usage.csv« as file