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,choice_param,int_param_two
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-147533.620760871999664232134819030762,4,-99.57490175031125545501708984375,16,-56
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-97511.617132744402624666690826416016,-83,-1.513809428778413623817300504015,hallo,-39
2,,,,,,,,,,,,,,,2_0,COMPLETED,SOBOL,-54837.961764749299618415534496307373,-40,-40.841729640960693359375,16,-30
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-174806.315999442012980580329895019531,-14,-73.550745381213090468008886091411,2,-100
4,1784179335,2,6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7,1784179337,1784179343,6,./.tests/optimization_example --int_param='2' --float_param='-95.08273076493739495163' --choice_param='2' --int_param_two='-94' --nr_results=1,0,,runnervm5mmn9,2,-94,-95.082730764937409162484982516617,2,4_0,COMPLETED,BOTORCH_MODULAR,-197542.44997366899042390286922454834,2,-95.082730764937394951630267314613,2,-94
5,1784179348,2,6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7,1784179350,1784179356,6,./.tests/optimization_example --int_param='10' --float_param='-100' --choice_param='2' --int_param_two='-100' --nr_results=1,0,,runnervm5mmn9,10,-100,-100,2,5_0,COMPLETED,BOTORCH_MODULAR,-219946.119999999995343387126922607422,10,-100,2,-100
Copy raw data to clipboard
Download »results.csv« as file
Copy raw data to clipboard
Download »outfile« as file
========================================================================
Current git-hash: 7ec7c180ddeb70e69ef837c896ebe061f7046be1 (last fully tested stable version 23 commits ago [4d604d1144428d61572f1a083b390631a8aef853, 9346])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 07-16 05:22:05] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
Run-UUID: a67bf450-cfc7-49a1-baca-efa64a5e2b05
/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 --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=adding_old_jobs_to_new_jobs --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2ljZV9wYXJhbSknICAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --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 --follow --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --load_data_from_existing_jobs runs/adding_old_jobs_to_new_jobs//0 runs/adding_old_jobs_to_new_jobs//1
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/ 2
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=adding_old_jobs_to_new_jobs&run_nr=71 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=1
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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
Inserted 2 jobs from runs/adding_old_jobs_to_new_jobs/0/results.csv
Inserted 2 jobs from runs/adding_old_jobs_to_new_jobs/1/results.csv
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 ┃ choice_param ┃ int_param_two ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ 10.0 │ -100.0 │ -100.0 │ 2.0 │ 10 │ -100.0 │ 2 │ -100 │ -219946.12 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴──────────────┴───────────────┴────────────┘
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 / 2 submitted │
│ ⏱️ Duration: 46s │
│ 🏆 Best RESULT: -219946.12 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/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 05:22:09 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): SOBOL, best RESULT: -174806.315999442, ▆▃▁█, Started OmniOpt2 run...
2026-07-16 05:22:15 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -174806.315999442, ▆▃▁█, getting new HP set (no sbatch)
2026-07-16 05:22:15 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -174806.315999442, ▆▃▁█, requested 1 jobs, got 1, 5.95 s/job
2026-07-16 05:22:15 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -174806.315999442, ▆▃▁█, eval #1/1 start
2026-07-16 05:22:15 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -174806.315999442, ▆▃▁█, starting new job
2026-07-16 05:22:15 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -174806.315999442, ▆▃▁█, started new job
2026-07-16 05:22:24 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -174806.315999442, ▆▃▁█, new result: RESULT: -197542.449974
2026-07-16 05:22:26 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -197542.449973669, ▅▃▁▆█, finishing jobs, finished 1 job
2026-07-16 05:22:28 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -197542.449973669, ▅▃▁▆█, getting new HP set (no sbatch)
2026-07-16 05:22:28 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -197542.449973669, ▅▃▁▆█, requested 1 jobs, got 1, 2.36 s/job
2026-07-16 05:22:28 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -197542.449973669, ▅▃▁▆█, eval #1/1 start
2026-07-16 05:22:28 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -197542.449973669, ▅▃▁▆█, starting new job
2026-07-16 05:22:29 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -197542.449973669, ▅▃▁▆█, started new job
2026-07-16 05:22:38 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -197542.449973669, ▅▃▁▆█, new result: RESULT: -219946.120000
2026-07-16 05:22:40 (6538f7dc-94e3-4241-bd18-6fbf5ffd2fd7): BOTORCH_MODULAR, best RESULT: -219946.12, ▄▂▁▆▇█, 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
1784179326,886.99609375,26.7 Copy raw data to clipboard
Download »cpu_ram_usage.csv« as file