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,-255217.530751890997635200619697570801,-98,-83.8417755067348480224609375,-79,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-14574.654999778000274091027677059174,-28,-9.629200250793017445971599954646,-5,hallo
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-233470.119999999995343387126922607422,-32,-100,-100,2
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-219941.162002585013397037982940673828,-100,6.582466511028164823926545068389,-100,2
4,1761940866,2,320498f2-e48a-4a5f-9428-c906f76ff04b,1761940868,1761940874,6,./.tests/optimization_example --int_param='10' --float_param='-527.85648063254416229029' --choice_param='2' --int_param_two='-36' --nr_results=1,0,,c2eaaf1afa46,10,-36,-527.856480632544162290287204086781,2,4_0,COMPLETED,BOTORCH_MODULAR,-2856307.609521009959280490875244140625,10,-527.856480632544162290287204086781,-36,2
5,1761940880,2,320498f2-e48a-4a5f-9428-c906f76ff04b,1761940882,1761940888,6,./.tests/optimization_example --int_param='10' --float_param='-703.20068293756946786743' --choice_param='2' --int_param_two='-16' --nr_results=1,0,,c2eaaf1afa46,10,-16,-703.200682937569467867433559149504,2,5_0,COMPLETED,BOTORCH_MODULAR,-5020245.3931323997676372528076171875,10,-703.200682937569467867433559149504,-16,2
========================================================================
Current git-hash: 3909bcfb0c82bd539605f5cb216e5e6d83c75fc1 (last fully tested stable version 5 commits ago [85dcd2ee973697fb4743b0557a22a55fcbad7e2b, 8956])
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...
⠋ Trying to import pyfiglet...
⠋ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Importing torch...
⠋ Importing numpy...
[WARNING 10-31 20:00:59] ax.service.utils.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]`.
⠦ 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 MaxTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Models from ax.generation_strategy.registry...
⠋ Importing get_pending_observation_features...
⠋ 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: f88b1ece-0d66-4369-bd6f-9428802fad31
___________________________________
| OmniOpt2 - When in doubt, optimize! |
===================================
\
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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...
Warning: The disk space is almost full. This may lead to error messages and you not being able to push jobs. If you want to see results anyway, check https://imageseg.scads.de/omniax/tutorials?tutorial=oo_share#run-locally-in-docker on how to install it locally (with docker). If you run on HPC, you may want to install this into a Research Cloud at the TU Dresden.
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=776 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: -5020245.3931324, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:27<00:00, 4.56s/it]
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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 10.0 │ -16.0 │ -703.2006829375695 │ 2.0 │ 10 │ -703.2006829375695 │ -16 │ 2 │ -5020245.3931324 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-10-31 20:01:05 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-31 20:01:06 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-31 20:01:06 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.30 s/job
2025-10-31 20:01:06 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, eval #1/1 start
2025-10-31 20:01:06 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, starting new job
2025-10-31 20:01:06 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, started new job
2025-10-31 20:01:15 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, new result: RESULT: -2856307.609521
2025-10-31 20:01:19 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, best RESULT: -2856307.60952101, finishing jobs, finished 1 job
2025-10-31 20:01:20 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, best RESULT: -2856307.60952101, getting new HP set (no sbatch)
2025-10-31 20:01:20 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, best RESULT: -2856307.60952101, requested 1 jobs, got 1, 1.42 s/job
2025-10-31 20:01:20 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, best RESULT: -2856307.60952101, eval #1/1 start
2025-10-31 20:01:20 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, best RESULT: -2856307.60952101, starting new job
2025-10-31 20:01:20 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, best RESULT: -2856307.60952101, started new job
2025-10-31 20:01:29 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, best RESULT: -2856307.60952101, new result: RESULT: -5020245.393132
2025-10-31 20:01:32 (320498f2-e48a-4a5f-9428-c906f76ff04b): BOTORCH_MODULAR, best RESULT: -5020245.3931324, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1761940859,804.1484375,28.8