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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,RESULT,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-97388.012292660394450649619102478027,-70,-34.8696529865264892578125,-44,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-88196.353383604204282164573669433594,9,-84.868923095586396243561466690153,-22,4
2,1785045074,2,b49535f7-c26d-467a-92c2-ded92fbe51a9,1785045076,1785045082,6,./.tests/optimization_example --int_param='-100' --float_param='10' --choice_param='16' --int_param_two='-91' --nr_results=1,0,,b5a69e4ca80a,-100,-91,10,16,2_0,COMPLETED,BOTORCH_MODULAR,-203444.519999999989522621035575866699,-100,10,-91,16
3,1785045086,2,b49535f7-c26d-467a-92c2-ded92fbe51a9,1785045088,1785045094,6,./.tests/optimization_example --int_param='-55' --float_param='10' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,b5a69e4ca80a,-55,-100,10,16,3_0,COMPLETED,BOTORCH_MODULAR,-147097.320000000006984919309616088867,-55,10,-100,16
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========================================================================
Current git-hash: 994947df0c9dd58e83a3d3605f909757dcb65b59 (last fully tested stable version 2 commits ago [b54799bbb6092ee7a47e6c8cafaff1661ff693b6, 9418])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ Loading base modules...
⠋ Loading rich UI components...
⠋ Loading type and utility modules...
⠋ Loading optional modules...
⠙ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Loading ML frameworks...
[INFO 07-26 05:51:06] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
⠇ Loading Ax platform...
⠋ Loading Ax storage and data...
⠋ Loading data science stack...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: 809b71b8-961e-4818-bd60-6a3f1fee6645
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_________________________________________________
/ \
| OmniOpt2 - Tuning so deep, even Lovecraft would b |
| e scared! |
\ /
=================================================
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<----|====O)))==) \) /====
<----' `--' `.__,' \
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______( (_ / \______
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`--{__________) \/
⠋ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
⠋ Saving state files...
Run-folder : /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/ 1
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠋ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=25 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 5 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=1
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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -203444.52, ▁▁█▄, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:23<00:00, 5.90s/it]
Best RESULT, min (total: 2 + inserted jobs: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_para… ┃ OO_Info_float_pa… ┃ OO_Info_choice_… ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ -100.0 │ -91.0 │ 10.0 │ 16.0 │ -100 │ 10.0 │ -91 │ 16 │ -203444.52 │
└───────────────────┴───────────────────┴───────────────────┴──────────────────┴───────────┴─────────────┴───────────────┴──────────────┴────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭─ ────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────── ─╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 4 done / 4 submitted │
│ ⏱️ Duration: 39s │
│ 🏆 Best RESULT: -203444.52 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-07-26 05:51:13 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-26 05:51:14 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-26 05:51:14 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.81 s/job
2026-07-26 05:51:14 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, eval #1/1 start
2026-07-26 05:51:14 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, starting new job
2026-07-26 05:51:14 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, started new job
2026-07-26 05:51:23 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, new result: RESULT: -203444.520000
2026-07-26 05:51:25 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, best RESULT: -203444.52, ▁▁█, finishing jobs, finished 1 job
2026-07-26 05:51:25 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, best RESULT: -203444.52, ▁▁█, getting new HP set (no sbatch)
2026-07-26 05:51:25 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, best RESULT: -203444.52, ▁▁█, requested 1 jobs, got 1, 0.66 s/job
2026-07-26 05:51:25 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, best RESULT: -203444.52, ▁▁█, eval #1/1 start
2026-07-26 05:51:26 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, best RESULT: -203444.52, ▁▁█, starting new job
2026-07-26 05:51:26 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, best RESULT: -203444.52, ▁▁█, started new job
2026-07-26 05:51:35 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, best RESULT: -203444.52, ▁▁█, new result: RESULT: -147097.320000
2026-07-26 05:51:36 (b49535f7-c26d-467a-92c2-ded92fbe51a9): BOTORCH_MODULAR, best RESULT: -203444.52, ▁▁█▄, finishing jobs, finished 1 job
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This logs the CPU and RAM usage of the main worker process.
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timestamp,ram_usage_mb,cpu_usage_percent
1785045066,788.734375,27.9 Copy raw data to clipboard
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