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========================================================================
Current git-hash: 994947df0c9dd58e83a3d3605f909757dcb65b59 (last fully tested stable version 2 commits ago [b54799bbb6092ee7a47e6c8cafaff1661ff693b6, 9418])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 08-09 04:21:40] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: 973ca021-6116-4c59-a84a-f6af231a68cd
/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.")
_____ _ _____ ______
/ ___ \ (_)/ ___ \ _ (_____ \
| | | |____ ____ _| | | |____ | |_ ____) )
| | | | \| _ \| | | | | _ \| _) /_____/
| |___| | | | | | | | | |___| | | | | |__ _______
\_____/|_|_|_|_| |_|_|\_____/| ||_/ \___|_______)
|_|
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/ 1
Continuation from 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=4 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 5 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=1
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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 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 + inserted jobs: 2)
┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_pa… ┃ OO_Info_int_pa… ┃ OO_Info_float_… ┃ OO_Info_choic… ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
│ nan │ nan │ nan │ nan │ -98 │ -95.9870497850… │ -67 │ 1 │ -259741.56224… │
└─────────────────┴─────────────────┴─────────────────┴────────────────┴───────────┴─────────────────┴───────────────┴──────────────┴────────────────┘
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 / 4 done / 4 submitted │
│ ⏱️ Duration: 42s │
│ 🏆 Best RESULT: -259741.562242898 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-08-09 04:21:44 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-08-09 04:21:48 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-08-09 04:21:48 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, requested 1 jobs, got 1, 4.35 s/job
2026-08-09 04:21:48 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, eval #1/1 start
2026-08-09 04:21:48 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, starting new job
2026-08-09 04:21:48 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, started new job
2026-08-09 04:21:57 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, new result: RESULT: -221130.120000
2026-08-09 04:21:59 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, best RESULT: -259741.562242898, ▁█▆, finishing jobs, finished 1 job
2026-08-09 04:22:00 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, best RESULT: -259741.562242898, ▁█▆, getting new HP set (no sbatch)
2026-08-09 04:22:00 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, best RESULT: -259741.562242898, ▁█▆, requested 1 jobs, got 1, 1.31 s/job
2026-08-09 04:22:00 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, best RESULT: -259741.562242898, ▁█▆, eval #1/1 start
2026-08-09 04:22:00 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, best RESULT: -259741.562242898, ▁█▆, starting new job
2026-08-09 04:22:00 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, best RESULT: -259741.562242898, ▁█▆, started new job
2026-08-09 04:22:09 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, best RESULT: -259741.562242898, ▁█▆, new result: RESULT: -243032.880115
2026-08-09 04:22:11 (8d964c01-0b07-4eda-ad48-cb74afe87cea): BOTORCH_MODULAR, best RESULT: -259741.562242898, ▁█▆▇, finishing jobs, finished 1 job
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Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.259 │ 1 │ 0.259 │
│ 2 │ 0.091 │ 1 │ 0.091 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.175 │ │ │
│ Median │ 0.175 │ │ │
│ Total │ 0.349 │ │ │
│ Max │ 0.259 │ │ │
│ Min │ 0.091 │ │ │
└─────────┴─────────┴──────┴──────────────┘
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Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 4.345 │ 1 │ 4.345 │
│ 2 │ 1.309 │ 1 │ 1.309 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 2.827 │ │ │
│ Median │ 2.827 │ │ │
│ Total │ 5.655 │ │ │
│ Max │ 4.345 │ │ │
│ Min │ 1.309 │ │ │
└───────────┴─────────┴──────┴──────────────┘
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This logs the CPU and RAM usage of the main worker process.
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timestamp,ram_usage_mb,cpu_usage_percent
1786249301,885.66015625,26.8 Copy raw data to clipboard
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RESULT (goal: minimize )Best value: -259741.5622429
Achieved at:
- choice_param = 1 (r=0.985, strong positive correlation)
- int_param = -98 (r=0.981, strong positive correlation)
- float_param = -95.987049785058 (r=0.429, moderate positive correlation)
- int_param_two = -67 (r=0.244, weak positive correlation)
Top-5 Best Results Parameter Sensitivity Ranking Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.
Parameter statistics Parameter Min Max Mean Std Dev Count run_time 6 6 6 0 2 OO_Info_int_param -100 -100 -100 0 2 OO_Info_int_param_two -100 6 -47 53 2 OO_Info_float_param -100 -43.0183 -71.5091 28.4909 2 OO_Info_choice_param 1 1 1 0 2 RESULT -259741.5622 -63055.416 -196739.9946 78387.9352 4 int_param -100 -18 -79 35.2278 4 float_param -100 -43.0183 -72.9898 25.2891 4 int_param_two -100 6 -51 38.6329 4 choice_param 1 16 4.75 6.4952 4