trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,arm_name,trial_status,generation_node,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,1762257885,2,209f4973-4a93-47b8-8aca-3e6048f471c3,1762257887,1762257893,6,./.tests/optimization_example --int_param='-69' --float_param='-15.37270069122314453125' --choice_param='2' --int_param_two='-26' --nr_results=2,0,,runnervmxu1zt,-69,-26,-15.37270069122314453125,2,0_0,COMPLETED,SOBOL,1.307816292200000063417064666282,2.740572322500000268519215751439,-69,-15.37270069122314453125,-26,2
1,1762257897,2,209f4973-4a93-47b8-8aca-3e6048f471c3,1762257899,1762257905,6,./.tests/optimization_example --int_param='-12' --float_param='-70.7365242998846355249' --choice_param='8' --int_param_two='-95' --nr_results=2,0,,runnervmxu1zt,-12,-95,-70.7365242998846355249042971991,8,1_0,COMPLETED,BOTORCH_MODULAR,1.518491420502869893027764192084,2.768775361447719962626479173196,-12,-70.7365242998846355249042971991,-95,8
========================================================================
Current git-hash: 9812430dc710edc134b5a49e8c7bfda8c78d31fc (last fully tested stable version 4 commits ago [9ee07c539bf4aa1ec23f20d4e84a679cc03dbc6a, 9046])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-04 12:04:42] 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: 4e4064ea-3d0c-443e-9a71-62ba72731990
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| | | |_ __ ___ _ __ _| | | |_ __ | |_ ) |
| | | | '_ ` _ \| '_ \| | | | | '_ \| __| / /
| |__| | | | | | | | | | | |__| | |_) | |_ / /_
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omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=TRANSFORMS_no_transforms --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0y --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 --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --result_names RESULT1=min RESULT2=min --generate_all_jobs_at_once --follow --show_generate_time_table
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_no_transforms/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=TRANSFORMS_no_transforms&run_nr=36 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 │ -69 │ -15.372700691223145 │ -26 │ 2 │ 1.3078162922 │ 2.7405723225000003 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴──────────────┴────────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.010 │ 1 │ 0.010 │
│ 2 │ 0.821 │ 1 │ 0.821 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.415 │ │ │
│ Median │ 0.415 │ │ │
│ Total │ 0.831 │ │ │
│ Max │ 0.821 │ │ │
│ Min │ 0.010 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.097 │ 1 │ 0.097 │
│ 2 │ 0.089 │ 1 │ 0.089 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.093 │ │ │
│ Median │ 0.093 │ │ │
│ Total │ 0.186 │ │ │
│ Max │ 0.097 │ │ │
│ Min │ 0.089 │ │ │
└─────────┴─────────┴──────┴──────────────┘
2025-11-04 12:04:45 (209f4973-4a93-47b8-8aca-3e6048f471c3): SOBOL, Started OmniOpt2 run...
2025-11-04 12:04:45 (209f4973-4a93-47b8-8aca-3e6048f471c3): SOBOL, getting new HP set (no sbatch)
2025-11-04 12:04:45 (209f4973-4a93-47b8-8aca-3e6048f471c3): SOBOL, requested 1 jobs, got 1, 0.01 s/job
2025-11-04 12:04:45 (209f4973-4a93-47b8-8aca-3e6048f471c3): SOBOL, eval #1/1 start
2025-11-04 12:04:45 (209f4973-4a93-47b8-8aca-3e6048f471c3): SOBOL, starting new job
2025-11-04 12:04:45 (209f4973-4a93-47b8-8aca-3e6048f471c3): SOBOL, started new job
2025-11-04 12:04:54 (209f4973-4a93-47b8-8aca-3e6048f471c3): SOBOL, new result: RESULT1: 1.307816, RESULT2: 2.740572
2025-11-04 12:04:56 (209f4973-4a93-47b8-8aca-3e6048f471c3): SOBOL, 1 done, finishing jobs, finished 1 job
2025-11-04 12:04:57 (209f4973-4a93-47b8-8aca-3e6048f471c3): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2025-11-04 12:04:57 (209f4973-4a93-47b8-8aca-3e6048f471c3): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.82 s/job
2025-11-04 12:04:57 (209f4973-4a93-47b8-8aca-3e6048f471c3): BOTORCH_MODULAR, 1 done, eval #1/1 start
2025-11-04 12:04:57 (209f4973-4a93-47b8-8aca-3e6048f471c3): BOTORCH_MODULAR, 1 done, starting new job
2025-11-04 12:04:57 (209f4973-4a93-47b8-8aca-3e6048f471c3): BOTORCH_MODULAR, 1 done, started new job
2025-11-04 12:05:06 (209f4973-4a93-47b8-8aca-3e6048f471c3): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.518491, RESULT2: 2.768775
2025-11-04 12:05:09 (209f4973-4a93-47b8-8aca-3e6048f471c3): BOTORCH_MODULAR, 2 done, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1762257882,749.8046875,28.8
