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========================================================================
Current git-hash: a8b8249cb96b9a463ce0aacb00c08f5e88f4a047 (last fully tested stable version 2 commits ago [13e20a46d71ea5effca97db9d226887fc1438f91, 9428])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 08-10 06:20:03] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
Run-UUID: 7aa7e0c9-394c-449f-9ea3-63407969cd11
/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 pursuit of the ultimate accuracy! |
===============================================
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omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=adding_old_jobs_to_new_jobs --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2ljZV9wYXJhbSknICAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --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 --load_data_from_existing_jobs runs/adding_old_jobs_to_new_jobs//0 runs/adding_old_jobs_to_new_jobs//1
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/ 2
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=adding_old_jobs_to_new_jobs&run_nr=131 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 │
└─────────────┴─────────────┘
Inserted 2 jobs from runs/adding_old_jobs_to_new_jobs/0/results.csv
Inserted 2 jobs from runs/adding_old_jobs_to_new_jobs/1/results.csv
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_param ┃ OO_Info_int_para… ┃ OO_Info_float_pa… ┃ OO_Info_choice_… ┃ int_param ┃ float_param ┃ choice_param ┃ int_param_two ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ -94.0 │ -95.0 │ -100.0 │ 16.0 │ -94 │ -100.0 │ 16 │ -95 │ -308989.32 │
└───────────────────┴───────────────────┴───────────────────┴──────────────────┴───────────┴─────────────┴──────────────┴───────────────┴────────────┘
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 / 2 submitted │
│ ⏱️ Duration: 48s │
│ 🏆 Best RESULT: -308989.32 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/2/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-08-10 06:20:07 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): SOBOL, best RESULT: -238071.778676841, ▁█▅▁, Started OmniOpt2 run...
2026-08-10 06:20:13 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -238071.778676841, ▁█▅▁, getting new HP set (no sbatch)
2026-08-10 06:20:13 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -238071.778676841, ▁█▅▁, requested 1 jobs, got 1, 6.47 s/job
2026-08-10 06:20:13 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -238071.778676841, ▁█▅▁, eval #1/1 start
2026-08-10 06:20:13 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -238071.778676841, ▁█▅▁, starting new job
2026-08-10 06:20:14 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -238071.778676841, ▁█▅▁, started new job
2026-08-10 06:20:23 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -238071.778676841, ▁█▅▁, new result: RESULT: -308989.320000
2026-08-10 06:20:25 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -308989.32, ▁▆▄▁█, finishing jobs, finished 1 job
2026-08-10 06:20:28 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -308989.32, ▁▆▄▁█, getting new HP set (no sbatch)
2026-08-10 06:20:28 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -308989.32, ▁▆▄▁█, requested 1 jobs, got 1, 2.75 s/job
2026-08-10 06:20:28 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -308989.32, ▁▆▄▁█, eval #1/1 start
2026-08-10 06:20:28 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -308989.32, ▁▆▄▁█, starting new job
2026-08-10 06:20:28 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -308989.32, ▁▆▄▁█, started new job
2026-08-10 06:20:37 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -308989.32, ▁▆▄▁█, new result: RESULT: -251351.596404
2026-08-10 06:20:39 (ac64a6f6-d1c4-4ac3-8d63-5b94405190d7): BOTORCH_MODULAR, best RESULT: -308989.32, ▁▆▄▁█▆, finishing jobs, finished 1 job
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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
1786342804,881.78515625,26.7 Copy raw data to clipboard
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RESULT (goal: minimize )Best value: -308989.32
Achieved at:
- int_param = -94 (r=0.946, strong positive correlation)
- float_param = -100 (r=0.884, strong positive correlation)
- int_param_two = -95 (r=0.81, strong positive correlation)
- choice_param = 16 (r=-0.494, moderate negative 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 -100 -94 -97 3 2 OO_Info_int_param_two -100 -95 -97.5 2.5 2 OO_Info_float_param -100 -49.922 -74.961 25.039 2 OO_Info_choice_param 16 16 16 0 2 RESULT -308989.32 -17853.192 -166718.8558 112492.7569 6 int_param -100 5 -59 38.5227 6 float_param -100 -5.4244 -54.5173 35.4141 6 choice_param 1 16 11.1667 6.8415 6 int_param_two -100 8 -63.3333 39.5882 6