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,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,1780144617,2,0a7dba1a-29f7-4e51-9b10-bcef6375a76c,1780144619,1780144625,6,./.tests/optimization_example --int_param='-67' --float_param='-71.23275429010391235352' --choice_param='2' --int_param_two='-88' --nr_results=2,0,,runnervm3jyl0,-67,-88,-71.232754290103912353515625,2,0_0,COMPLETED,SOBOL,1.749857482799999974787397150067,2.418897756899999862412187212612,-67,-71.232754290103912353515625,-88,2
1,1780144628,2,0a7dba1a-29f7-4e51-9b10-bcef6375a76c,1780144630,1780144636,6,./.tests/optimization_example --int_param='-79' --float_param='-14.37952549095129484158' --choice_param='16' --int_param_two='10' --nr_results=2,0,,runnervm3jyl0,-79,10,-14.379525490951294841579510830343,16,1_0,COMPLETED,BOTORCH_MODULAR,1.526005249311310096871352470771,2.222420891837340040098069948726,-79,-14.379525490951294841579510830343,10,16
========================================================================
Current git-hash: 2c09badf8ff71f8f9eee5a24e4a2328f476e658c (last fully tested stable version 2 commits ago [5c399eb6c53d4165f4e4c5d4191a2115cad88c0b, 9342])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-30 12:36:53] ax.storage.sqa_store.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
Run-UUID: 79dbfcf5-de02-492b-9ccf-23d4cb5af2b7
/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.")
_____ _____ __ ___
/\ __`\ __/\ __`\ /\ \__ /'___`\
\ \ \/\ \ ___ ___ ___ /\_\ \ \/\ \ _____\ \ ,_\/\_\ /\ \
\ \ \ \ \ /' __` __`\ /' _ `\/\ \ \ \ \ \/\ '__`\ \ \/\/_/// /__
\ \ \_\ \/\ \/\ \/\ \/\ \/\ \ \ \ \ \_\ \ \ \L\ \ \ \_ // /_\ \
\ \_____\ \_\ \_\ \_\ \_\ \_\ \_\ \_____\ \ ,__/\ \__\/\______/
\/_____/\/_/\/_/\/_/\/_/\/_/\/_/\/_____/\ \ \/ \/__/\/_____/
\ \_\
\/_/
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=TRANSFORMS_Cont_X_trans_Y_trans --transforms=Cont_X_trans_Y_trans --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0y --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 --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --result_names RESULT1=min RESULT2=min --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_Cont_X_trans_Y_trans/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=TRANSFORMS_Cont_X_trans_Y_trans&run_nr=10 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=2
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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1 │ min │
│ RESULT2 │ min │
└─────────────┴─────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT2.
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -79 │ -14.379525490951295 │ 10 │ 16 │ 1.52600524931131 │ 2.22242089183734 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Not printing sixel graphics in CI
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.048 │ 1 │ 0.048 │
│ 2 │ 0.622 │ 1 │ 0.622 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.335 │ │ │
│ Median │ 0.335 │ │ │
│ Total │ 0.670 │ │ │
│ Max │ 0.622 │ │ │
│ Min │ 0.048 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.257 │ 1 │ 0.257 │
│ 2 │ 0.110 │ 1 │ 0.110 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.183 │ │ │
│ Median │ 0.183 │ │ │
│ Total │ 0.367 │ │ │
│ Max │ 0.257 │ │ │
│ Min │ 0.110 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted │
│ ⏱️ Duration: 38s │
│ 🏆 Best RESULT1: 1.52600524931131 │
│ 🏆 Best RESULT2: 2.22242089183734 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_Cont_X_trans_Y_trans/0/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-30 12:36:57 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): SOBOL, Started OmniOpt2 run...
2026-05-30 12:36:57 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): SOBOL, getting new HP set (no sbatch)
2026-05-30 12:36:57 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): SOBOL, requested 1 jobs, got 1, 0.05 s/job
2026-05-30 12:36:57 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): SOBOL, eval #1/1 start
2026-05-30 12:36:57 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): SOBOL, starting new job
2026-05-30 12:36:57 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): SOBOL, started new job
2026-05-30 12:37:06 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): SOBOL, new result: RESULT1: 1.749857, RESULT2: 2.418898
2026-05-30 12:37:07 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): SOBOL, 1 done, finishing jobs, finished 1 job
2026-05-30 12:37:08 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-05-30 12:37:08 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.62 s/job
2026-05-30 12:37:08 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): BOTORCH_MODULAR, 1 done, eval #1/1 start
2026-05-30 12:37:08 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): BOTORCH_MODULAR, 1 done, starting new job
2026-05-30 12:37:08 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): BOTORCH_MODULAR, 1 done, started new job
2026-05-30 12:37:17 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.526005, RESULT2: 2.222421
2026-05-30 12:37:20 (0a7dba1a-29f7-4e51-9b10-bcef6375a76c): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1780144615,780.94921875,26.8