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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,-28594.899809778598864795640110969543,-5,-7.36600100994110107421875,-46,hallo
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-200895.807276164006907492876052856445,-88,-86.738153064122712976313778199255,-50,8
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-140351.303055482014315202832221984863,-100,-49.020721075789353449181362520903,10,8
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-251242.92000000001280568540096282959,-51,-100,-100,8
4,1784572934,2,9991c0ff-db93-466c-933f-869d5d5cbf04,1784572936,1784572942,6,./.tests/optimization_example --int_param='8' --float_param='-790.68053037170182051341' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,4a0b18d89f06,8,-100,-790.680530371701706826570443809032,8,4_0,COMPLETED,BOTORCH_MODULAR,-6440679.984125929884612560272216796875,8,-790.680530371701820513408165425062,-100,8
5,1784572947,1,9991c0ff-db93-466c-933f-869d5d5cbf04,1784572948,1784572954,6,./.tests/optimization_example --int_param='-71' --float_param='-1000' --choice_param='8' --int_param_two='-21' --nr_results=1,0,,4a0b18d89f06,-71,-21,-1000,8,5_0,COMPLETED,BOTORCH_MODULAR,-10165046.11999999918043613433837890625,-71,-1000,-21,8
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========================================================================
Current git-hash: 776b40647c39ee42c9f8443c9f17f6559d9b1106 (last fully tested stable version 5 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 18:42:10] 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: 1bccd516-1efc-4023-9f17-0b779b817177
//.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.")
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/ / / / __ `__ \/ __ \/ / / / / __ \/ __/_/ /
/ /_/ / / / / / / / / / / /_/ / /_/ / /_/ __/
\____/_/ /_/ /_/_/ /_/_/\____/ .___/\__/____/
/_/
⠋ Writing worker creation log...
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
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2...
⠋ 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/ 2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
⠋ 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...
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=164 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 │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -10165046.12, ▁▁▁▁▅█, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:24<00:00, 4.11s/it]
Best RESULT, min (total: 2 + inserted jobs: 4)
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ OO_Info_int_par… ┃ OO_Info_int_par… ┃ OO_Info_float_pa… ┃ OO_Info_choice_… ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ -71.0 │ -21.0 │ -1000.0 │ 8.0 │ -71 │ -1000.0 │ -21 │ 8 │ -10165046.12 │
└──────────────────┴──────────────────┴───────────────────┴──────────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────┘
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: 35s │
│ 🏆 Best RESULT: -10165046.12 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-07-20 18:42:13 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-20 18:42:14 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-20 18:42:14 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.73 s/job
2026-07-20 18:42:14 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, eval #1/1 start
2026-07-20 18:42:14 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, starting new job
2026-07-20 18:42:14 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, started new job
2026-07-20 18:42:23 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, new result: RESULT: -6440679.984126
2026-07-20 18:42:26 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, best RESULT: -6440679.98412593, ▁▁▁▁█, finishing jobs, finished 1 job
2026-07-20 18:42:27 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, best RESULT: -6440679.98412593, ▁▁▁▁█, getting new HP set (no sbatch)
2026-07-20 18:42:27 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, best RESULT: -6440679.98412593, ▁▁▁▁█, requested 1 jobs, got 1, 0.78 s/job
2026-07-20 18:42:27 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, best RESULT: -6440679.98412593, ▁▁▁▁█, eval #1/1 start
2026-07-20 18:42:27 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, best RESULT: -6440679.98412593, ▁▁▁▁█, starting new job
2026-07-20 18:42:27 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, best RESULT: -6440679.98412593, ▁▁▁▁█, started new job
2026-07-20 18:42:36 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, best RESULT: -6440679.98412593, ▁▁▁▁█, new result: RESULT: -10165046.120000
2026-07-20 18:42:38 (9991c0ff-db93-466c-933f-869d5d5cbf04): BOTORCH_MODULAR, best RESULT: -10165046.12, ▁▁▁▁▅█, finishing jobs, finished 1 job
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This logs the CPU and RAM usage of the main worker process.
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timestamp,ram_usage_mb,cpu_usage_percent
1784572931,788.94140625,28 Copy raw data to clipboard
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