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Current git-hash: b549b0cd8c7068d0460e7eda77444c0f42f81ee2 (last fully tested stable version 1 commit ago [941829b5ef8c208e9de98b3eb85bb46f0d23e169, 9213])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 01-04 11:07:55] 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: 63908aba-3b12-4afb-8103-c1b7a45278a3
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| OmniOpt2 - Hyperparameters: The Hitchcock thrille |
| r of machine learning. |
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omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=multi_results_2_results_BOTORCH_MODULAR --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2ljZV9wYXJhbSknICAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0yCg== --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 --result_names RESULT1=min RESULT2=min --model=BOTORCH_MODULAR --generate_all_jobs_at_once
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/0See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=520 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 │ -100 │-80.00244334340096│ -79 │ 1 │1.6378587324│2.2032503161│
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-01-04 11:08:00 (26f11926-0c9a-47b8-a34c-1ed98e7175de): SOBOL, Started OmniOpt2 run...
2026-01-04 11:08:00 (26f11926-0c9a-47b8-a34c-1ed98e7175de): SOBOL, getting new HP set (no sbatch)
2026-01-04 11:08:00 (26f11926-0c9a-47b8-a34c-1ed98e7175de): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-01-04 11:08:01 (26f11926-0c9a-47b8-a34c-1ed98e7175de): SOBOL, eval #1/1 start
2026-01-04 11:08:01 (26f11926-0c9a-47b8-a34c-1ed98e7175de): SOBOL, starting new job
2026-01-04 11:08:01 (26f11926-0c9a-47b8-a34c-1ed98e7175de): SOBOL, started new job
2026-01-04 11:08:10 (26f11926-0c9a-47b8-a34c-1ed98e7175de): SOBOL, new result: RESULT1: 1.637859, RESULT2: 2.203250
2026-01-04 11:08:14 (26f11926-0c9a-47b8-a34c-1ed98e7175de): SOBOL, 1 done, finishing jobs, finished 1 job
2026-01-04 11:08:15 (26f11926-0c9a-47b8-a34c-1ed98e7175de): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-01-04 11:08:15 (26f11926-0c9a-47b8-a34c-1ed98e7175de): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.69 s/job
2026-01-04 11:08:15 (26f11926-0c9a-47b8-a34c-1ed98e7175de): BOTORCH_MODULAR, 1 done, eval #1/1 start
2026-01-04 11:08:15 (26f11926-0c9a-47b8-a34c-1ed98e7175de): BOTORCH_MODULAR, 1 done, starting new job
2026-01-04 11:08:15 (26f11926-0c9a-47b8-a34c-1ed98e7175de): BOTORCH_MODULAR, 1 done, started new job
2026-01-04 11:08:24 (26f11926-0c9a-47b8-a34c-1ed98e7175de): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.896816, RESULT2: 2.917745
2026-01-04 11:08:28 (26f11926-0c9a-47b8-a34c-1ed98e7175de): BOTORCH_MODULAR, 2 done, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.234 │ 1 │ 0.234 │
│ 2 │ 0.116 │ 1 │ 0.116 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.175 │ │ │
│ Median │ 0.175 │ │ │
│ Total │ 0.350 │ │ │
│ Max │ 0.234 │ │ │
│ Min │ 0.116 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.045 │ 1 │ 0.045 │
│ 2 │ 0.686 │ 1 │ 0.686 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.365 │ │ │
│ Median │ 0.365 │ │ │
│ Total │ 0.730 │ │ │
│ Max │ 0.686 │ │ │
│ Min │ 0.045 │ │ │
└───────────┴─────────┴──────┴──────────────┘