Copy raw data to clipboard
Download »results.csv« as file
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,-163809.474732487986329942941665649414,-96,-68.700308501720428466796875,-22,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-76300.323475581695674918591976165771,-4,-9.289168889692923869461083086208,-81,1
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-132087.720000000001164153218269348145,-41,-100,10,4
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-207842.041589528991607949137687683105,-100,-47.390382313483030429779319092631,-79,4
4,1784204738,2,1849aec6-1ff1-4917-a1b9-99e56ade457a,1784204740,1784204746,6,./.tests/optimization_example --int_param='-100' --float_param='643.65735263609985850053' --choice_param='4' --int_param_two='-100' --nr_results=1,0,,runnervm3jd5f,-100,-100,643.657352636099972187366802245378,4,4_0,COMPLETED,BOTORCH_MODULAR,-4298689.860761520452797412872314453125,-100,643.657352636099858500529080629349,-100,4
5,1784204753,2,1849aec6-1ff1-4917-a1b9-99e56ade457a,1784204755,1784204761,6,./.tests/optimization_example --int_param='-100' --float_param='884.08618279470590550773' --choice_param='4' --int_param_two='-100' --nr_results=1,0,,runnervm3jd5f,-100,-100,884.08618279470590550772612914443,4,5_0,COMPLETED,BOTORCH_MODULAR,-7947782.887805669568479061126708984375,-100,884.08618279470590550772612914443,-100,4
Copy raw data to clipboard
Download »results.csv« as file
Copy raw data to clipboard
Download »outfile« as file
========================================================================
Current git-hash: 20d0d5f6cbd31c42b8841f2250fd64dd27da5cc3 (last fully tested stable version 14 commits ago [7ec7c180ddeb70e69ef837c896ebe061f7046be1, 9375])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 07-16 12:25:33] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: 99440b48-bb93-4752-9d46-22be8cc78b4c
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/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)
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
______ .___ ___. .__ __. __ ______ .______ .___________.___
/ __ \ | \/ | | \ | | | | / __ \ | _ \ | |__ \
| | | | | \ / | | \| | | | | | | | | |_) | `---| |----` ) |
| | | | | |\/| | | . ` | | | | | | | | ___/ | | / /
| `--' | | | | | | |\ | | | | `--' | | | | | / /_
\______/ |__| |__| |__| \__| |__| \______/ | _| |__| |____|
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/ 2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=657 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 9 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 │ -1000 │ 1000 │ │ 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 │
└─────────────┴─────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Best RESULT, min (total: 2 + inserted jobs: 4)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -100.0 │ -100.0 │ 884.0861827947059 │ 4.0 │ -100 │ 884.0861827947059 │ -100 │ 4 │ -7947782.88780567 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴───────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭─ ─────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ─────────────────────────────────────────────────────────────────────────────────────── ─╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 6 done / 6 submitted │
│ ⏱️ Duration: 42s │
│ 🏆 Best RESULT: -7947782.88780567 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Copy raw data to clipboard
Download »outfile« as file
Copy raw data to clipboard
Download »progressbar« as file
2026-07-16 12:25:37 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-16 12:25:38 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-16 12:25:38 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.48 s/job
2026-07-16 12:25:38 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, eval #1/1 start
2026-07-16 12:25:38 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, starting new job
2026-07-16 12:25:38 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, started new job
2026-07-16 12:25:47 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, new result: RESULT: -4298689.860762
2026-07-16 12:25:49 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, best RESULT: -4298689.86076152, ▁▁▁▁█, finishing jobs, finished 1 job
2026-07-16 12:25:53 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, best RESULT: -4298689.86076152, ▁▁▁▁█, getting new HP set (no sbatch)
2026-07-16 12:25:53 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, best RESULT: -4298689.86076152, ▁▁▁▁█, requested 1 jobs, got 1, 3.22 s/job
2026-07-16 12:25:53 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, best RESULT: -4298689.86076152, ▁▁▁▁█, eval #1/1 start
2026-07-16 12:25:53 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, best RESULT: -4298689.86076152, ▁▁▁▁█, starting new job
2026-07-16 12:25:53 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, best RESULT: -4298689.86076152, ▁▁▁▁█, started new job
2026-07-16 12:26:02 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, best RESULT: -4298689.86076152, ▁▁▁▁█, new result: RESULT: -7947782.887806
2026-07-16 12:26:04 (1849aec6-1ff1-4917-a1b9-99e56ade457a): BOTORCH_MODULAR, best RESULT: -7947782.88780567, ▁▁▁▁▄█, finishing jobs, finished 1 job
Copy raw data to clipboard
Download »progressbar« as file
This logs the CPU and RAM usage of the main worker process.
Copy raw data to clipboard
Download »cpu_ram_usage.csv« as file
timestamp,ram_usage_mb,cpu_usage_percent
1784204734,889.94140625,26.7 Copy raw data to clipboard
Download »cpu_ram_usage.csv« as file