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
0,1765283357,2,016a4f2c-cbf3-484c-9a30-2d42177d3c3f,1765283359,1765283365,6,./.tests/optimization_example --int_param='-93' --float_param='-60.29504179954528808594' --choice_param='1' --int_param_two='-77' --nr_results=2,0,,runnervmyg876,-93,-77,-60.2950417995452880859375,1,0_0,COMPLETED,SOBOL,1.417911133100000053985922932043,2.064532561800000109997199615464,-93,-60.2950417995452880859375,-77,1
1,1765283375,2,016a4f2c-cbf3-484c-9a30-2d42177d3c3f,1765283377,1765283383,6,./.tests/optimization_example --int_param='-30' --float_param='-0.51721824333071708679' --choice_param='2' --int_param_two='5' --nr_results=2,0,,runnervmyg876,-30,5,-0.517218243330716975769689724984,2,1_0,COMPLETED,BOTORCH_MODULAR,1.958325441534729982606677367585,2.514795134632980211364383649197,-30,-0.5172182433307170867919921875,5,2
========================================================================
Current git-hash: e37069783843c1c7f7b51097f0322ec1db0e53fb (last fully tested stable version 4 commits ago [359c0bec91c129ab01eb6a0644e046b6ae817f02, 9124])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 12-09 12:29:09] 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: c9f4f858-6e38-4a1f-b5f3-7889cb7570a2
_____ _ _____ _ _____
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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=144 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 │ -93 │ -60.29504179954529 │ -77 │ 1 │ 1.4179111331 │ 2.0645325618 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │ 0.029 │ 1 │ 0.029 │
│ 2 │ 0.600 │ 1 │ 0.600 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.315 │ │ │
│ Median │ 0.315 │ │ │
│ Total │ 0.629 │ │ │
│ Max │ 0.600 │ │ │
│ Min │ 0.029 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.097 │ 1 │ 0.097 │
│ 2 │ 0.231 │ 1 │ 0.231 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.164 │ │ │
│ Median │ 0.164 │ │ │
│ Total │ 0.329 │ │ │
│ Max │ 0.231 │ │ │
│ Min │ 0.097 │ │ │
└─────────┴─────────┴──────┴──────────────┘
2025-12-09 12:29:17 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): SOBOL, Started OmniOpt2 run...
2025-12-09 12:29:17 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): SOBOL, getting new HP set (no sbatch)
2025-12-09 12:29:17 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2025-12-09 12:29:17 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): SOBOL, eval #1/1 start
2025-12-09 12:29:17 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): SOBOL, starting new job
2025-12-09 12:29:18 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): SOBOL, started new job
2025-12-09 12:29:27 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): SOBOL, new result: RESULT1: 1.417911, RESULT2: 2.064533
2025-12-09 12:29:34 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): SOBOL, 1 done, finishing jobs, finished 1 job
2025-12-09 12:29:35 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2025-12-09 12:29:35 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.60 s/job
2025-12-09 12:29:35 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): BOTORCH_MODULAR, 1 done, eval #1/1 start
2025-12-09 12:29:35 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): BOTORCH_MODULAR, 1 done, starting new job
2025-12-09 12:29:35 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): BOTORCH_MODULAR, 1 done, started new job
2025-12-09 12:29:44 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.958325, RESULT2: 2.514795
2025-12-09 12:29:51 (016a4f2c-cbf3-484c-9a30-2d42177d3c3f): 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
1765283349,757.08984375,28.4