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,-102103.954464633992756716907024383545,-53,-74.0907292068004608154296875,-16,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-32310.563800259998970432206988334656,2,4.933818235110286387623546033865,-52,2
2,1784573620,2,020e0d30-3d0f-4da5-9bda-0afd489d0b3f,1784573622,1784573628,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='16' --int_param_two='-63' --nr_results=1,0,,8f2e9910ef4f,-100,-63,-100,16,2_0,COMPLETED,BOTORCH_MODULAR,-267826.919999999983701854944229125977,-100,-100,-63,16
3,1784573632,2,020e0d30-3d0f-4da5-9bda-0afd489d0b3f,1784573634,1784573640,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='16' --int_param_two='-97' --nr_results=1,0,,8f2e9910ef4f,-100,-97,-100,16,3_0,COMPLETED,BOTORCH_MODULAR,-325259.719999999972060322761535644531,-100,-100,-97,16
Copy raw data to clipboard
Download »results.csv« as file
Copy raw data to clipboard
Download »outfile« as file
========================================================================
Current git-hash: c7aa8b58e409914061b25d5e1bd510106c42c436 (last fully tested stable version 8 commits ago [b9f1e470f24bdacf974e4cf9defd5b88ea683b32, 9405])
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 07-20 18:53:37] 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: 60d8fd0f-0353-4794-8a9c-b57551a80a55
//.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 - Unlocking the secrets of the grid. |
=============================================
\
\
\
.--.
|o_o |
|:_/ |
// \ \
(| | )
/'\_ _/`\
\___)=(___/
⠋ 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=166 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: -325259.72, ▂▁▆█, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:23<00:00, 5.85s/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 │ -97.0 │ -100.0 │ 16.0 │ -100 │ -100.0 │ -97 │ 16 │ -325259.72 │
└───────────────────┴───────────────────┴───────────────────┴──────────────────┴───────────┴─────────────┴───────────────┴──────────────┴────────────┘
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: 33s │
│ 🏆 Best RESULT: -325259.72 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Copy raw data to clipboard
Download »outfile« as file
Copy raw data to clipboard
Download »progressbar« as file
2026-07-20 18:53:40 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-20 18:53:40 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-20 18:53:40 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.62 s/job
2026-07-20 18:53:40 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, eval #1/1 start
2026-07-20 18:53:40 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, starting new job
2026-07-20 18:53:41 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, started new job
2026-07-20 18:53:50 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, new result: RESULT: -267826.920000
2026-07-20 18:53:51 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, best RESULT: -267826.92, ▃▁█, finishing jobs, finished 1 job
2026-07-20 18:53:52 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, best RESULT: -267826.92, ▃▁█, getting new HP set (no sbatch)
2026-07-20 18:53:52 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, best RESULT: -267826.92, ▃▁█, requested 1 jobs, got 1, 0.69 s/job
2026-07-20 18:53:52 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, best RESULT: -267826.92, ▃▁█, eval #1/1 start
2026-07-20 18:53:52 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, best RESULT: -267826.92, ▃▁█, starting new job
2026-07-20 18:53:52 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, best RESULT: -267826.92, ▃▁█, started new job
2026-07-20 18:54:01 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, best RESULT: -267826.92, ▃▁█, new result: RESULT: -325259.720000
2026-07-20 18:54:03 (020e0d30-3d0f-4da5-9bda-0afd489d0b3f): BOTORCH_MODULAR, best RESULT: -325259.72, ▂▁▆█, 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
1784573618,788.56640625,28.3 Copy raw data to clipboard
Download »cpu_ram_usage.csv« as file