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,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,1.35126107169999998269815932872,2.739104436799999930940430203918,-35,-34.63336288928985595703125,-57,hallo
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.54329077459999997046224962105,2.652322619800000058631894717109,-100,-98.184901135805077387885830830783,-76,2
2,1762258349,2,c2c1a787-f0e3-49c2-b91e-9885e837e48d,1762258351,1762258357,6,./.tests/optimization_example --int_param='-35' --float_param='-75.38723770401999502155' --choice_param='16' --int_param_two='-4' --nr_results=2,0,,runnervmf2e7y,-35,-4,-75.387237704019980810699053108692,16,2_0,COMPLETED,BOTORCH_MODULAR,1.978541139799999903914340393385,2.386846367800000034975482776645,-35,-75.387237704019995021553768310696,-4,16
3,1762258365,2,c2c1a787-f0e3-49c2-b91e-9885e837e48d,1762258367,1762258373,6,./.tests/optimization_example --int_param='5' --float_param='-5.77471295233839931882' --choice_param='16' --int_param_two='-67' --nr_results=2,0,,runnervmf2e7y,5,-67,-5.774712952338399318819028849248,16,3_0,COMPLETED,BOTORCH_MODULAR,1.06581091632052005202524469496,2.711612293121529848605177903664,5,-5.774712952338399318819028849248,-67,16
========================================================================
Current git-hash: 119f7a46eea281f12add5b61f6771a7a4a0896f9 (last fully tested stable version 2 commits ago [9ee07c539bf4aa1ec23f20d4e84a679cc03dbc6a, 9046])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-04 12:12:23] 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]`.
Using old run's --time: 60
Using old run's --gpus: 0
Using old run's --max_eval: 2
Run-UUID: 3066f5bc-c685-4b40-8de3-0f69995d401c
____ _ ____ _ ___
/ __ \ (_)/ __ \ | | |__ \
| | | |_ __ ___ _ __ _| | | |_ __ | |_ ) |
| | | | '_ ` _ \| '_ \| | | | | '_ \| __| / /
| |__| | | | | | | | | | | |__| | |_) | |_ / /_
\____/|_| |_| |_|_| |_|_|\____/| .__/ \__|____|
| |
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omniopt --continue runs/multi_results_2_results_BOTORCH_MODULAR/0 --live_share
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1
Continuation from runs/multi_results_2_results_BOTORCH_MODULAR/0
You have less --max_eval 2 than --num_random_steps 20. Switched both.
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=71 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 4 steps.
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 │ rangeparameter │ -100 │ 10 │ │ int │ No │
│ float_param │ rangeparameter │ -100 │ 10 │ │ float │ No │
│ choice_param │ choiceparameter │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ rangeparameter │ -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 │ -100 │ -98.18490113580508 │ -76 │ 2 │ 1.5432907746 │ 2.6523226198 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 2 │ -35 │ -75.38723770402 │ -4 │ 16 │ 1.9785411398 │ 2.3868463678 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ 5 │ -5.774712952338399 │ -67 │ 16 │ 1.06581091632052 │ 2.71161229312153 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-11-04 12:12:27 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-11-04 12:12:28 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-11-04 12:12:28 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.27 s/job
2025-11-04 12:12:29 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, eval #1/1 start
2025-11-04 12:12:29 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, starting new job
2025-11-04 12:12:29 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, started new job
2025-11-04 12:12:38 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, new result: RESULT1: 1.978541, RESULT2: 2.386846
2025-11-04 12:12:42 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, 3 done, finishing jobs, finished 1 job
2025-11-04 12:12:45 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, 3 done, getting new HP set (no sbatch)
2025-11-04 12:12:45 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, 3 done, requested 1 jobs, got 1, 2.72 s/job
2025-11-04 12:12:45 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, 3 done, eval #1/1 start
2025-11-04 12:12:45 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, 3 done, starting new job
2025-11-04 12:12:45 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, 3 done, started new job
2025-11-04 12:12:54 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, 3 done, new result: RESULT1: 1.065811, RESULT2: 2.711612
2025-11-04 12:12:58 (c2c1a787-f0e3-49c2-b91e-9885e837e48d): BOTORCH_MODULAR, 4 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
1762258344,778.55859375,27