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,-44598.824802212096983566880226135254,3,-20.2576816082000732421875,-57,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-166710.680091993010137230157852172852,-69,-99.831369394849005516334727872163,-1,16
2,1756993299,2,71d322d2-9ee0-4d2e-8748-4fb40451895d,1756993301,1756993307,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='16' --int_param_two='-66' --nr_results=1,0,,fd12cd240f61,-100,-66,-100,16,2_0,COMPLETED,BOTORCH_MODULAR,-271964.520000000018626451492309570312,-100,-100,-66,16
3,1756993311,2,71d322d2-9ee0-4d2e-8748-4fb40451895d,1756993313,1756993319,6,./.tests/optimization_example --int_param='-100' --float_param='-62.98728566471233136781' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,fd12cd240f61,-100,-100,-62.98728566471233136780938366428,16,3_0,COMPLETED,BOTORCH_MODULAR,-267410.030120551993604749441146850586,-100,-62.98728566471233136780938366428,-100,16
========================================================================
Current git-hash: fd169efde52c08105aa8078cc890532aea608c04 (last fully tested stable version 1 commit ago [b3149df187a4fb21389f8cc7afc1acc92b0453d8, 8508])
Using coverage run -p because $RUN_WITH_COVERAGE is set
β Importing logging...
β Importing warnings...
β Importing argparse...
β Importing datetime...
β Importing dataclass...
β Importing socket...
β Importing stat...
β Importing pwd...
β Importing base64...
β Importing json...
β Importing yaml...
β Importing toml...
β Importing csv...
β Importing ast...
β Importing rich.table...
β Importing rich print...
β Importing rich.pretty...
β Importing rich.prompt...
β Importing types.FunctionType...
β Importing typing...
β Importing ThreadPoolExecutor...
β Importing submitit.LocalExecutor...
β Importing submitit.Job...
β Importing importlib.util...
β Importing platform...
β Importing inspect frame info...
β Importing pathlib.Path...
β Importing uuid...
β Importing cowsay...
β Importing shutil...
β Importing itertools.combinations...
β Importing os.listdir...
β Importing os.path...
β Importing PIL.Image...
β Importing sixel...
β Importing subprocess...
β Importing tqdm...
β Importing beartype...
β Importing statistics...
β Trying to import pyfiglet...
β Importing helpers...
β Parsing arguments...
β Έ Importing torch...
β Importing numpy...
[WARNING 09-04 13:41:36] 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]`.
β § Importing ax...
β Importing ax.core.generator_run...
β Importing Cont_X_trans and Y_trans from ax.adapter.registry...
β Importing ax.core.arm...
β Importing ax.core.objective...
β Importing ax.core.Metric...
β Importing ax.exceptions.core...
β Importing ax.exceptions.generation_strategy...
β Importing CORE_DECODER_REGISTRY...
β Trying ax.generation_strategy.generation_node...
β Importing GenerationStep, GenerationStrategy from generation_strategy...
β Importing GenerationNode from generation_node...
β Importing ExternalGenerationNode...
β Importing MaxTrials...
β Importing GeneratorSpec...
β Importing Models from ax.generation_strategy.registry...
β Importing get_pending_observation_features...
β Importing load_experiment...
β Importing save_experiment...
β Importing save_experiment_to_db...
β Importing TrialStatus...
β Importing Data...
β Importing Experiment...
β Importing parameter types...
β Importing TParameterization...
β Importing pandas...
β Importing AxClient and ObjectiveProperties...
β Importing RandomForestRegressor...
β Importing botorch...
β Importing submitit...
β Importing ax logger...
β Importing SQL-Storage-Stuff...
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: 21400e79-4505-402d-95bd-0618cf347aa4
_________________________________________________
/ \
| OmniOpt2 - Optimizing like SchrΓΆdingerβs catβunti |
| l you look, it's both perfect and terrible. |
\ /
=================================================
\
\
\
\
___-------___
_-~~ ~~-_
_-~ /~-_
/^\__/^\ /~ \ / \
/| O|| O| / \_______________/ \
| |___||__| / / \ \
| \ / / \ \
| (_______) /______/ \_________ \
| / / \ / \
\ \^\\ \ / \ /
\ || \______________/ _-_ //\__//
\ ||------_-~~-_ ------------- \ --/~ ~\ || __/
~-----||====/~ |==================| |/~~~~~
(_(__/ ./ / \_\ \.
(_(___/ \_____)_)
β 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
β Disabling logging...
β Setting run folder...
β Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1...
β Writing revert_to_random_when_seemingly_exhausted file ...
β Writing username state file...
β Writing result names file...
β Writing result min/max file...
β Saving state files...
Run-folder: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
β Writing live_share file if it is present...
β Writing job_start_time file...
β Writing git information
β Checking max_eval...
β Calculating number of steps...
β Adding excluded nodes...
β Setting global generation strategy
β Initializing ax_client...
β Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=16 for live-results.
β Ή Initializing live share...
β Ή Initializing live share...
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
βββββββββββββββββ³ββββββββββββββββββ³ββββββββββββββ³ββββββββββββββ³ββββββββββββββββββββββββ³ββββββββ³βββββββββββββ
β Name β Type β Lower bound β Upper bound β Values β Type β Log Scale? β
β‘βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ©
β int_param β rangeparameter β -100 β 10 β β int β No β
β float_param β rangeparameter β -100 β 10 β β float β No β
β choice_param β choiceparameter β β β 1, 2, 4, 8, 16, hallo β β β
β int_param_two β rangeparameter β -100 β 10 β β int β No β
βββββββββββββββββ΄ββββββββββββββββββ΄ββββββββββββββ΄ββββββββββββββ΄ββββββββββββββββββββββββ΄ββββββββ΄βββββββββββββ
Result-Names
βββββββββββββββ³ββββββββββββββ
β Result-Name β Min or max? β
β‘ββββββββββββββββββββββββββββ©
β RESULT β min β
βββββββββββββββ΄ββββββββββββββ
β Write files and show overview
BOTORCH_MODULAR, best RESULT: -271964.52, finishing jobs, finished 1 job : 100%|ββββββββββ| 4/4 [00:23<00:00, 5.84s/it]
Best RESULT, min (total: 2 + inserted jobs: 2)
βββββββββββββββββββββ³ββββββββββββββββββββββββ³ββββββββββββββββββββββ³βββββββββββββββββββββββ³ββββββββββββ³ββββββββββββββ³ββββββββββββββββ³βββββββββββββββ³βββββββββββββ
β OO_Info_int_param β OO_Info_int_param_two β OO_Info_float_param β OO_Info_choice_param β int_param β float_param β int_param_two β choice_param β RESULT β
β‘βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ©
β -100.0 β -66.0 β -100.0 β 16.0 β -100 β -100.0 β -66 β 16 β -271964.52 β
βββββββββββββββββββββ΄ββββββββββββββββββββββββ΄ββββββββββββββββββββββ΄βββββββββββββββββββββββ΄ββββββββββββ΄ββββββββββββββ΄ββββββββββββββββ΄βββββββββββββββ΄βββββββββββββ
Runtime Infos
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β Number of evaluations β Min time β Max time β Average time β Median time β
β‘βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ©
β 2 β 6.00 sec β 6.00 sec β 6.00 sec β 6.00 sec β
βββββββββββββββββββββββββ΄ββββββββββββ΄ββββββββββββ΄βββββββββββββββ΄ββββββββββββββ
2025-09-04 13:41:38 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-09-04 13:41:39 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-09-04 13:41:39 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.10 s/job
2025-09-04 13:41:39 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, eval #1/1 start
2025-09-04 13:41:39 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, starting new job
2025-09-04 13:41:40 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, started new job
2025-09-04 13:41:49 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, new result: -271964.52
2025-09-04 13:41:50 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, best RESULT: -271964.52, finishing jobs, finished 1 job
2025-09-04 13:41:51 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, best RESULT: -271964.52, getting new HP set (no sbatch)
2025-09-04 13:41:51 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, best RESULT: -271964.52, requested 1 jobs, got 1, 0.95 s/job
2025-09-04 13:41:51 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, best RESULT: -271964.52, eval #1/1 start
2025-09-04 13:41:51 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, best RESULT: -271964.52, starting new job
2025-09-04 13:41:51 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, best RESULT: -271964.52, started new job
2025-09-04 13:42:00 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, best RESULT: -271964.52, new result: -267410.030120552
2025-09-04 13:42:02 (71d322d2-9ee0-4d2e-8748-4fb40451895d): BOTORCH_MODULAR, best RESULT: -271964.52, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1756993298,797.7890625,24.9
1756993298,797.7890625,66.7