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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 04:22:30] 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: 9a5df958-5e6c-4b1c-b836-bbfbee8927ee
/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 - In search of the perfect fit. |
========================================
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omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/ 2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=5 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 9 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 │ -1000 │ 1000 │ │ 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: 4)
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ OO_Info_int_par… ┃ OO_Info_int_par… ┃ OO_Info_float_pa… ┃ OO_Info_choice_… ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ -13.0 │ -100.0 │ -1000.0 │ 1.0 │ -13 │ -1000.0 │ -100 │ 1 │ -10213041.32 │
└──────────────────┴──────────────────┴───────────────────┴──────────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────┘
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 / 6 done / 6 submitted │
│ ⏱️ Duration: 42s │
│ 🏆 Best RESULT: -10213041.32 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-08-09 04:22:34 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-08-09 04:22:36 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-08-09 04:22:36 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, requested 1 jobs, got 1, 2.75 s/job
2026-08-09 04:22:36 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, eval #1/1 start
2026-08-09 04:22:36 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, starting new job
2026-08-09 04:22:37 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, started new job
2026-08-09 04:22:46 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, new result: RESULT: -6972435.778554
2026-08-09 04:22:47 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, best RESULT: -6972435.77855418, ▁▁▁▁█, finishing jobs, finished 1 job
2026-08-09 04:22:49 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, best RESULT: -6972435.77855418, ▁▁▁▁█, getting new HP set (no sbatch)
2026-08-09 04:22:49 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, best RESULT: -6972435.77855418, ▁▁▁▁█, requested 1 jobs, got 1, 1.67 s/job
2026-08-09 04:22:49 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, best RESULT: -6972435.77855418, ▁▁▁▁█, eval #1/1 start
2026-08-09 04:22:49 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, best RESULT: -6972435.77855418, ▁▁▁▁█, starting new job
2026-08-09 04:22:49 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, best RESULT: -6972435.77855418, ▁▁▁▁█, started new job
2026-08-09 04:22:58 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, best RESULT: -6972435.77855418, ▁▁▁▁█, new result: RESULT: -10213041.320000
2026-08-09 04:23:01 (e4e71a4c-d77f-4bcf-83a3-c164e30695a2): BOTORCH_MODULAR, best RESULT: -10213041.32, ▁▁▁▁▅█, finishing jobs, finished 1 job
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Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.262 │ 1 │ 0.262 │
│ 2 │ 0.091 │ 1 │ 0.091 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.177 │ │ │
│ Median │ 0.177 │ │ │
│ Total │ 0.353 │ │ │
│ Max │ 0.262 │ │ │
│ Min │ 0.091 │ │ │
└─────────┴─────────┴──────┴──────────────┘
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Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 2.747 │ 1 │ 2.747 │
│ 2 │ 1.667 │ 1 │ 1.667 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 2.207 │ │ │
│ Median │ 2.207 │ │ │
│ Total │ 4.414 │ │ │
│ Max │ 2.747 │ │ │
│ Min │ 1.667 │ │ │
└───────────┴─────────┴──────┴──────────────┘
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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
1786249351,885.57421875,26.8 Copy raw data to clipboard
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RESULT (goal: minimize )Best value: -10213041.32
Achieved at:
- float_param = -1000 (r=0.993, strong positive correlation)
- int_param = -13 (r=-0.556, moderate negative correlation)
- int_param_two = -100 (r=0.474, moderate positive correlation)
- choice_param = 1 (r=0.322, 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.
Convergence Analysis Parameter statistics Parameter Min Max Mean Std Dev Count run_time 6 6 6 0 2 OO_Info_int_param -68 -13 -40.5 27.5 2 OO_Info_int_param_two -100 -67 -83.5 16.5 2 OO_Info_float_param -1000 -823.7061 -911.8531 88.1469 2 OO_Info_choice_param 1 1 1 0 2 RESULT -10213041.32 -63055.416 -2995406.1795 4067467.0616 6 int_param -100 -13 -66.1667 37.5341 6 float_param -1000 -43.0183 -352.6109 399.2396 6 int_param_two -100 6 -61.8333 36.3383 6 choice_param 1 16 3.5 5.5902 6