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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,-139933.458729036996373906731605529785,-41,-47.769440710544586181640625,-90,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-23937.423448951598402345553040504456,-43,9.459859290960260125302738742903,9,1
2,1784180200,2,12bd7efa-2eb0-46b3-b8c6-5838342710bf,1784180202,1784180208,6,./.tests/optimization_example --int_param='9' --float_param='-100' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,2efbba22f077,9,-100,-100,16,2_0,COMPLETED,BOTORCH_MODULAR,-221129.320000000006984919309616088867,9,-100,-100,16
3,1784180212,2,12bd7efa-2eb0-46b3-b8c6-5838342710bf,1784180214,1784180220,6,./.tests/optimization_example --int_param='10' --float_param='-100' --choice_param='16' --int_param_two='-43' --nr_results=1,0,,2efbba22f077,10,-43,-100,16,3_0,COMPLETED,BOTORCH_MODULAR,-134622.92000000001280568540096282959,10,-100,-43,16
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========================================================================
Current git-hash: 611f002d8dffbbf7205b3e78c037f864a1724a32 (last fully tested stable version 24 commits ago [4d604d1144428d61572f1a083b390631a8aef853, 9346])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
⠋ Importing dataclass...
⠋ Importing socket...
⠋ Importing stat...
⠋ Importing pwd...
⠋ Importing base64...
⠋ Importing json...
⠋ Importing yaml...
⠋ Importing toml...
⠋ Importing csv...
⠋ Importing ast...
⠋ Importing rich.table...
⠋ Importing rich print...
⠋ Importing rich.pretty...
⠋ Importing pformat...
⠋ Importing rich.prompt...
⠋ Importing types.FunctionType...
⠋ Importing typing...
⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
⠋ Importing submitit.Job...
⠋ Importing importlib.util...
⠋ Importing platform...
⠋ Importing inspect frame info...
⠋ Importing pathlib.Path...
⠋ Importing uuid...
⠋ Importing cowsay...
⠋ Importing shutil...
⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
⠋ Importing beartype...
⠋ Importing statistics...
⠋ Importing notifier...
⠋ Trying to import pyfiglet...
⠙ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Importing torch...
⠋ Importing numpy...
[INFO 07-16 05:36:36] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
⠧ Importing ax...
⠋ Importing ax.core.generator_run...
⠋ Importing Cont_X_trans and Y_trans from ax.adapter.registry...
⠋ Importing ax.core.arm...
⠋ Importing ax.core.objective...
⠋ Importing ax.core.Metric...
⠋ Importing ax.exceptions.core...
⠋ Importing ax.exceptions.generation_strategy...
⠋ Importing CORE_DECODER_REGISTRY...
⠋ Trying ax.generation_strategy.generation_node...
⠋ Importing GenerationStep, GenerationStrategy from generation_strategy...
⠋ Importing GenerationNode from generation_node...
⠋ Importing ExternalGenerationNode...
⠋ Importing MinTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Generators from ax.generation_strategy.registry...
⠋ Importing load_experiment...
⠋ Importing save_experiment...
⠋ Importing save_experiment_to_db...
⠋ Importing TrialStatus...
⠋ Importing Data...
⠋ Importing Experiment...
⠋ Importing parameter types...
⠋ Importing TParameterization...
⠋ Importing pandas...
⠋ Importing AxClient and ObjectiveProperties...
⠋ Importing RandomForestRegressor...
⠋ Importing botorch...
⠋ Importing submitit...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: f67064b0-a9bd-4093-8c42-7e76aa922d2d
//.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 - Fine-tuning on the frequency of realit |
| y. |
\ /
=================================================
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/ `. .' \
.---. < > < > .---.
| \ \ - ~ ~ - / / |
_____ ~-..-~ ~-..-~
| | \~~~\.' `./~~~/
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(_____, `._.' | } \/~~~/
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`-. | / | / `. ,~~|
~-.__| /_ - ~ ^| /- _ `..-' f: f:
| / | / ~-. `-. _|| _||_
|_____| |_____| ~ - . _ _ _ _ __>
⠋ 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=13 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: -221129.32, ▅▁█▄, finishing jobs, finished 1 job : 100%|██████████| 4/4 [00:22<00:00, 5.75s/it]
Best RESULT, min (total: 2 + inserted jobs: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃ 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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ 9.0 │ -100.0 │ -100.0 │ 16.0 │ 9 │ -100.0 │ -100 │ 16 │ -221129.32 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴────────────┘
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: 34s │
│ 🏆 Best RESULT: -221129.32 │
│ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-07-16 05:36:40 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-16 05:36:40 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-16 05:36:40 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.71 s/job
2026-07-16 05:36:40 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, eval #1/1 start
2026-07-16 05:36:40 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, starting new job
2026-07-16 05:36:41 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, started new job
2026-07-16 05:36:50 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, new result: RESULT: -221129.320000
2026-07-16 05:36:51 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, best RESULT: -221129.32, ▅▁█, finishing jobs, finished 1 job
2026-07-16 05:36:52 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, best RESULT: -221129.32, ▅▁█, getting new HP set (no sbatch)
2026-07-16 05:36:52 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, best RESULT: -221129.32, ▅▁█, requested 1 jobs, got 1, 0.54 s/job
2026-07-16 05:36:52 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, best RESULT: -221129.32, ▅▁█, eval #1/1 start
2026-07-16 05:36:52 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, best RESULT: -221129.32, ▅▁█, starting new job
2026-07-16 05:36:52 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, best RESULT: -221129.32, ▅▁█, started new job
2026-07-16 05:37:01 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, best RESULT: -221129.32, ▅▁█, new result: RESULT: -134622.920000
2026-07-16 05:37:03 (12bd7efa-2eb0-46b3-b8c6-5838342710bf): BOTORCH_MODULAR, best RESULT: -221129.32, ▅▁█▄, 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
1784180196,788.6484375,28.3 Copy raw data to clipboard
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