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,-66294.88662718600244261324405670166,-28,-69.0423977375030517578125,1,1
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-309066.319066021998878568410873413086,-96,-96.651069382482361902475531678647,-97,hallo
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-228467.38876328599872067570686340332,-100,-23.8181692050096174284590233583,-100,hallo
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-241204.519999999989522621035575866699,-41,-100,-100,hallo
4,1761335992,2,2f69049a-fbf9-4543-88fa-f9649b71cf3a,1761335994,1761336000,6,./.tests/optimization_example --int_param='-6' --float_param='-281.939349233964492214' --choice_param='hallo' --int_param_two='-94' --nr_results=1,0,,57f67b9ad35f,-6,-94,-281.939349233964492213999619707465,hallo,4_0,COMPLETED,BOTORCH_MODULAR,-922101.221388109959661960601806640625,-6,-281.939349233964492213999619707465,-94,hallo
5,1761336005,2,2f69049a-fbf9-4543-88fa-f9649b71cf3a,1761336007,1761336013,6,./.tests/optimization_example --int_param='4' --float_param='-432.08010045072779803377' --choice_param='hallo' --int_param_two='-97' --nr_results=1,0,,57f67b9ad35f,4,-97,-432.080100450727741190348751842976,hallo,5_0,COMPLETED,BOTORCH_MODULAR,-2013927.062100179959088563919067382812,4,-432.08010045072779803376761265099,-97,hallo
========================================================================
Current git-hash: 488ab7e8f8dc2fa3905791912d9d17ca87a30cf3 (last fully tested stable version 9 commits ago [500f420d5799f5372ddbb373e878365bd667d8fb, 8869])
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...
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⠋ 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...
⠋ Parsing arguments...
⠸ Importing torch...
⠋ Importing numpy...
[WARNING 10-24 19:59:48] 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: f7fdcba2-4ab9-4d5c-b644-5ae442cf41a0
___________________________________
| OmniOpt2 - Fine-tuning like a boss! |
===================================
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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=572 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: -2013927.06210018, finishing jobs, finished 1 job : 100%|██████████| 6/6 [00:24<00:00, 4.08s/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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ 4.0 │ -97.0 │ -432.08010045072774 │ hallo │ 4 │ -432.0801004507278 │ -97 │ hallo │ -2013927.06210018 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-10-24 19:59:51 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-24 19:59:52 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-24 19:59:52 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.15 s/job
2025-10-24 19:59:52 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, eval #1/1 start
2025-10-24 19:59:52 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, starting new job
2025-10-24 19:59:52 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, started new job
2025-10-24 20:00:01 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, new result: RESULT: -922101.221388
2025-10-24 20:00:03 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, best RESULT: -922101.22138811, finishing jobs, finished 1 job
2025-10-24 20:00:05 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, best RESULT: -922101.22138811, getting new HP set (no sbatch)
2025-10-24 20:00:05 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, best RESULT: -922101.22138811, requested 1 jobs, got 1, 1.46 s/job
2025-10-24 20:00:05 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, best RESULT: -922101.22138811, eval #1/1 start
2025-10-24 20:00:05 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, best RESULT: -922101.22138811, starting new job
2025-10-24 20:00:05 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, best RESULT: -922101.22138811, started new job
2025-10-24 20:00:14 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, best RESULT: -922101.22138811, new result: RESULT: -2013927.062100
2025-10-24 20:00:16 (2f69049a-fbf9-4543-88fa-f9649b71cf3a): BOTORCH_MODULAR, best RESULT: -2013927.06210018, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1761335988,805.04296875,28.9