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
0,1778067999,2,af8081c4-78a8-4e91-ae7d-46ca1d315791,1778068001,1778068007,6,./.tests/optimization_example --int_param='-28' --float_param='-75.94012588262557983398' --choice_param='hallo' --int_param_two='-15' --nr_results=2,0,,runnervmrc6n4,-28,-15,-75.940125882625579833984375,hallo,0_0,COMPLETED,SOBOL,1.625518631000000047137632464,2.737607648700000062547132984037,-28,-75.940125882625579833984375,-15,hallo
1,1778068011,1,af8081c4-78a8-4e91-ae7d-46ca1d315791,1778068012,1778068018,6,./.tests/optimization_example --int_param='-81' --float_param='7.08828876823112885575' --choice_param='16' --int_param_two='-67' --nr_results=2,0,,runnervmrc6n4,-81,-67,7.088288768231128855745737382676,16,1_0,COMPLETED,BOTORCH_MODULAR,1.241190384914270028460236972023,2.317447474316820077433476399165,-81,7.088288768231128855745737382676,-67,16
========================================================================
Current git-hash: aa6118605300e88fb4df35c4ce54545597b6252c (last fully tested stable version 2 commits ago [6efe9b5645abb6a4e0471dd42a96833aed7eb7e7, 9293])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-06 11:46:37] 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: df7f8d64-dc9d-466b-a8f3-8ec83ec04605
__________________________________________
| OmniOpt2 - Precision tuning, no shortcuts. |
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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=48 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 │ -81 │ 7.088288768231129 │ -67 │ 16 │ 1.24119038491427 │ 2.31744747431682 │
└─────────────┴───────────┴───────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │ 0.031 │ 1 │ 0.031 │
│ 2 │ 0.906 │ 1 │ 0.906 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.469 │ │ │
│ Median │ 0.469 │ │ │
│ Total │ 0.937 │ │ │
│ Max │ 0.906 │ │ │
│ Min │ 0.031 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.110 │ 1 │ 0.110 │
│ 2 │ 0.096 │ 1 │ 0.096 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.103 │ │ │
│ Median │ 0.103 │ │ │
│ Total │ 0.206 │ │ │
│ Max │ 0.110 │ │ │
│ Min │ 0.096 │ │ │
└─────────┴─────────┴──────┴──────────────┘
2026-05-06 11:46:39 (af8081c4-78a8-4e91-ae7d-46ca1d315791): SOBOL, Started OmniOpt2 run...
2026-05-06 11:46:39 (af8081c4-78a8-4e91-ae7d-46ca1d315791): SOBOL, getting new HP set (no sbatch)
2026-05-06 11:46:39 (af8081c4-78a8-4e91-ae7d-46ca1d315791): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-05-06 11:46:39 (af8081c4-78a8-4e91-ae7d-46ca1d315791): SOBOL, eval #1/1 start
2026-05-06 11:46:39 (af8081c4-78a8-4e91-ae7d-46ca1d315791): SOBOL, starting new job
2026-05-06 11:46:39 (af8081c4-78a8-4e91-ae7d-46ca1d315791): SOBOL, started new job
2026-05-06 11:46:48 (af8081c4-78a8-4e91-ae7d-46ca1d315791): SOBOL, new result: RESULT1: 1.625519, RESULT2: 2.737608
2026-05-06 11:46:50 (af8081c4-78a8-4e91-ae7d-46ca1d315791): SOBOL, 1 done, finishing jobs, finished 1 job
2026-05-06 11:46:51 (af8081c4-78a8-4e91-ae7d-46ca1d315791): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-05-06 11:46:51 (af8081c4-78a8-4e91-ae7d-46ca1d315791): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.91 s/job
2026-05-06 11:46:51 (af8081c4-78a8-4e91-ae7d-46ca1d315791): BOTORCH_MODULAR, 1 done, eval #1/1 start
2026-05-06 11:46:51 (af8081c4-78a8-4e91-ae7d-46ca1d315791): BOTORCH_MODULAR, 1 done, starting new job
2026-05-06 11:46:51 (af8081c4-78a8-4e91-ae7d-46ca1d315791): BOTORCH_MODULAR, 1 done, started new job
2026-05-06 11:47:00 (af8081c4-78a8-4e91-ae7d-46ca1d315791): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.241190, RESULT2: 2.317447
2026-05-06 11:47:02 (af8081c4-78a8-4e91-ae7d-46ca1d315791): 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
1778067997,741.01953125,28