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
0,1762983919,2,dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f,1762983921,1762983927,6,./.tests/optimization_example --int_param='8' --float_param='-6.59205079078674316406' --choice_param='hallo' --int_param_two='0' --nr_results=2,0,,runnervmfg25i,8,0,-6.5920507907867431640625,hallo,0_0,COMPLETED,SOBOL,1.024608792800000056644194046385,2.237656488399999865634981688345,8,-6.5920507907867431640625,0,hallo
1,1762983931,2,dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f,1762983933,1762983939,6,./.tests/optimization_example --int_param='-100' --float_param='-66.67210473914467172563' --choice_param='8' --int_param_two='-100' --nr_results=2,0,,runnervmfg25i,-100,-100,-66.672104739144671725625812541693,8,1_0,COMPLETED,BOTORCH_MODULAR,1.033916743778720004343085747678,2.557977209423799802578969320166,-100,-66.672104739144671725625812541693,-100,8
========================================================================
Current git-hash: 297c9bf79ff8699386ca64b00f917f7524e44aef (last fully tested stable version 2 commits ago [c469e04d3b6be6a64610427ed0a7f1562b9a4eae, 9077])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-12 21:45:14] 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: 5d1ea01e-2c48-41f5-bb7d-61509fa6cdd4
_________________________________________________
/ \
| OmniOpt2 - Hyperparameter tuning: The philosopher |
| ’s stone of deep learning. |
\ /
=================================================
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/.-~
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=TRANSFORMS_Cont_X_trans --transforms=Cont_X_trans --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_Cont_X_trans/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=TRANSFORMS_Cont_X_trans&run_nr=94 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 │ 8 │ -6.592050790786743 │ 0 │ hallo │ 1.0246087928 │ 2.2376564884 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │ 0.747 │ 1 │ 0.747 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.379 │ │ │
│ Median │ 0.379 │ │ │
│ Total │ 0.758 │ │ │
│ Max │ 0.747 │ │ │
│ Min │ 0.010 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.109 │ 1 │ 0.109 │
│ 2 │ 0.096 │ 1 │ 0.096 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.103 │ │ │
│ Median │ 0.103 │ │ │
│ Total │ 0.205 │ │ │
│ Max │ 0.109 │ │ │
│ Min │ 0.096 │ │ │
└─────────┴─────────┴──────┴──────────────┘
2025-11-12 21:45:19 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): SOBOL, Started OmniOpt2 run...
2025-11-12 21:45:19 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): SOBOL, getting new HP set (no sbatch)
2025-11-12 21:45:19 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): SOBOL, requested 1 jobs, got 1, 0.01 s/job
2025-11-12 21:45:19 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): SOBOL, eval #1/1 start
2025-11-12 21:45:19 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): SOBOL, starting new job
2025-11-12 21:45:19 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): SOBOL, started new job
2025-11-12 21:45:28 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): SOBOL, new result: RESULT1: 1.024609, RESULT2: 2.237656
2025-11-12 21:45:30 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): SOBOL, 1 done, finishing jobs, finished 1 job
2025-11-12 21:45:31 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2025-11-12 21:45:31 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.75 s/job
2025-11-12 21:45:31 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): BOTORCH_MODULAR, 1 done, eval #1/1 start
2025-11-12 21:45:31 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): BOTORCH_MODULAR, 1 done, starting new job
2025-11-12 21:45:31 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): BOTORCH_MODULAR, 1 done, started new job
2025-11-12 21:45:40 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.033917, RESULT2: 2.557977
2025-11-12 21:45:44 (dbc2f9b2-1c2e-4acd-85a1-21bc38c30b0f): 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
1762983915,749.60546875,28.6