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,-180890.974140504986280575394630432129,-51,-96.770945824682712554931640625,-63,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-2622.337462209100067411782220005989,-1,-1.601647235418768300263536730199,9,16
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-261314.080823966010939329862594604492,-100,-59.341247131187820684772304957733,-100,2
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-220166.119999999995343387126922607422,-100,10,-100,2
4,1784251036,2,99901f2c-d95a-4746-aa7d-3e36eca686c4,1784251038,1784251044,6,./.tests/optimization_example --int_param='-100' --float_param='-240.94311380444801784506' --choice_param='2' --int_param_two='-100' --nr_results=1,0,,runnervm3jd5f,-100,-100,-240.94311380444798942335182800889,2,4_0,COMPLETED,BOTORCH_MODULAR,-824796.272278276970610022544860839844,-100,-240.943113804448017845061258412898,-100,2
5,1784251050,1,99901f2c-d95a-4746-aa7d-3e36eca686c4,1784251051,1784251058,7,./.tests/optimization_example --int_param='-100' --float_param='-327.31474195972833740598' --choice_param='2' --int_param_two='-100' --nr_results=1,0,,runnervm3jd5f,-100,-100,-327.314741959728337405977072194219,2,5_0,COMPLETED,BOTORCH_MODULAR,-1324246.997237609932199120521545410156,-100,-327.314741959728337405977072194219,-100,2
Copy raw data to clipboard
Download »results.csv« as file
Copy raw data to clipboard
Download »outfile« as file
========================================================================
Current git-hash: 6c46d48706294269a1b57dcf9c6a2dd6b942c312 (last fully tested stable version 3 commits ago [fa24dfbf750366b8c83f9ef04857a770020b8dad, 9392])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 07-17 01:17:11] 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: 6f550b99-6670-4975-8c14-9d4f0e792826
/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.")
_________________________________________________
/ \
| OmniOpt2 - Open the third eye of optimization – t |
| he truth is in the numbers. |
\ /
=================================================
\
\
\
\
____________
|__________|
/ /\
/ / \
/___________/___/|
| | |
| ==\ /== | |
| O O | \ \ |
| < | \ \|
/| | \ \
/ | \_____/ | / /
/ /| | / /|
/||\| | /||\/
-------------|
| | | |
<__/ \__>
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=683 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 │ -327.31474195972834 │ 2.0 │ -100 │ -327.31474195972834 │ -100 │ 2 │ -1324246.99723761 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴───────────────────┘
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time ┃ Max time ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ 6.00 sec │ 7.00 sec │ 6.50 sec │ 6.50 sec │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭─ ─────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ─────────────────────────────────────────────────────────────────────────────────────── ─╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 6 done / 6 submitted │
│ ⏱️ Duration: 42s │
│ 🏆 Best RESULT: -1324246.99723761 │
│ 📁 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
2026-07-17 01:17:15 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-17 01:17:16 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-17 01:17:16 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.42 s/job
2026-07-17 01:17:16 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, eval #1/1 start
2026-07-17 01:17:16 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, starting new job
2026-07-17 01:17:16 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, started new job
2026-07-17 01:17:25 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, new result: RESULT: -824796.272278
2026-07-17 01:17:28 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, best RESULT: -824796.272278277, ▂▁▃▂█, finishing jobs, finished 1 job
2026-07-17 01:17:30 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, best RESULT: -824796.272278277, ▂▁▃▂█, getting new HP set (no sbatch)
2026-07-17 01:17:30 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, best RESULT: -824796.272278277, ▂▁▃▂█, requested 1 jobs, got 1, 1.35 s/job
2026-07-17 01:17:30 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, best RESULT: -824796.272278277, ▂▁▃▂█, eval #1/1 start
2026-07-17 01:17:30 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, best RESULT: -824796.272278277, ▂▁▃▂█, starting new job
2026-07-17 01:17:30 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, best RESULT: -824796.272278277, ▂▁▃▂█, started new job
2026-07-17 01:17:39 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, best RESULT: -824796.272278277, ▂▁▃▂█, new result: RESULT: -1324246.997238
2026-07-17 01:17:42 (99901f2c-d95a-4746-aa7d-3e36eca686c4): BOTORCH_MODULAR, best RESULT: -1324246.99723761, ▁▁▂▂▅█, 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
1784251032,890.1875,26.7 Copy raw data to clipboard
Download »cpu_ram_usage.csv« as file