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Current git-hash: fc5f874e040c3428525103bd1726ad0d0a279a6a (last fully tested stable version 1 commit ago [7df9cc742d72dd218d8e828d99d3902f6eff6df0, 9169])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-28 12:02:22] 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: 70a65d28-3a65-487d-b46b-443b7759ebc4
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| OmniOpt2 - Dancing on the edge of chaos – welcome |
| to the tuning dimension. |
\ /
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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=392 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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ 0 │7.079867615266906│ -9 │ hallo │1.43269781845538│2.44802861576633│
└─────────────┴───────────┴───────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │ 7.00 sec │ 6.50 sec │ 6.50 sec │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-12-28 12:02:26 (7d004df0-278a-4d87-bcd6-109a98499389): SOBOL, Started OmniOpt2 run...
2025-12-28 12:02:26 (7d004df0-278a-4d87-bcd6-109a98499389): SOBOL, getting new HP set (no sbatch)
2025-12-28 12:02:26 (7d004df0-278a-4d87-bcd6-109a98499389): SOBOL, requested 1 jobs, got 1, 0.05 s/job
2025-12-28 12:02:26 (7d004df0-278a-4d87-bcd6-109a98499389): SOBOL, eval #1/1 start
2025-12-28 12:02:26 (7d004df0-278a-4d87-bcd6-109a98499389): SOBOL, starting new job
2025-12-28 12:02:27 (7d004df0-278a-4d87-bcd6-109a98499389): SOBOL, started new job
2025-12-28 12:02:36 (7d004df0-278a-4d87-bcd6-109a98499389): SOBOL, new result: RESULT1: 1.735837, RESULT2: 2.929497
2025-12-28 12:02:37 (7d004df0-278a-4d87-bcd6-109a98499389): SOBOL, 1 done, finishing jobs, finished 1 job
2025-12-28 12:02:38 (7d004df0-278a-4d87-bcd6-109a98499389): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2025-12-28 12:02:38 (7d004df0-278a-4d87-bcd6-109a98499389): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.65 s/job
2025-12-28 12:02:38 (7d004df0-278a-4d87-bcd6-109a98499389): BOTORCH_MODULAR, 1 done, eval #1/1 start
2025-12-28 12:02:38 (7d004df0-278a-4d87-bcd6-109a98499389): BOTORCH_MODULAR, 1 done, starting new job
2025-12-28 12:02:38 (7d004df0-278a-4d87-bcd6-109a98499389): BOTORCH_MODULAR, 1 done, started new job
2025-12-28 12:02:47 (7d004df0-278a-4d87-bcd6-109a98499389): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.432698, RESULT2: 2.448029
2025-12-28 12:02:50 (7d004df0-278a-4d87-bcd6-109a98499389): BOTORCH_MODULAR, 2 done, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.231 │ 1 │ 0.231 │
│ 2 │ 0.114 │ 1 │ 0.114 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.173 │ │ │
│ Median │ 0.173 │ │ │
│ Total │ 0.346 │ │ │
│ Max │ 0.231 │ │ │
│ Min │ 0.114 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.046 │ 1 │ 0.046 │
│ 2 │ 0.653 │ 1 │ 0.653 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.350 │ │ │
│ Median │ 0.350 │ │ │
│ Total │ 0.699 │ │ │
│ Max │ 0.653 │ │ │
│ Min │ 0.046 │ │ │
└───────────┴─────────┴──────┴──────────────┘