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,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,RESULT,int_param,float_param,int_param_two,choice_param
0,1755227835,5,2078f2f8-dd99-4345-8a41-b56408b23936,1755227840,1755227846,6,./.tests/optimization_example --int_param='-100' --float_param='992.37420934308124742529' --choice_param='1' --int_param_two='-100' --nr_results=1,0,,slurmnode2,-100,-100,992.374209343081247425288893282413,1,686,0_0,COMPLETED,BOTORCH_MODULAR,-9969053.61275875009596347808837890625,-100,992.374209343081247425288893282413,-100,1
1,1755227835,5,2078f2f8-dd99-4345-8a41-b56408b23936,1755227840,1755227846,6,./.tests/optimization_example --int_param='-100' --float_param='-945.30565854108101575548' --choice_param='1' --int_param_two='-100' --nr_results=1,0,,slurmnode3,-100,-100,-945.305658541081015755480621010065,1,687,1_0,COMPLETED,BOTORCH_MODULAR,-9250783.76655198074877262115478515625,-100,-945.305658541081015755480621010065,-100,1
2,,,,,,,,,,,,,,,,2_0,COMPLETED,SOBOL,-64011.158601970499148592352867126465,-18,-56.37738883495330810546875,-41,2
3,,,,,,,,,,,,,,,,3_0,COMPLETED,SOBOL,-64510.498334964897367171943187713623,-46,0.21692217327654361724853515625,-57,1
4,,,,,,,,,,,,,,,,4_0,COMPLETED,BOTORCH_MODULAR,-220225.320000000006984919309616088867,-100,10,-100,1
5,,,,,,,,,,,,,,,,5_0,COMPLETED,BOTORCH_MODULAR,-3072.519999999999981810105964541435,7,10,-11,1
========================================================================
To cancel, press CTRL c, then run 'scancel 685'
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 Ή Importing helpers...
β Parsing arguments...
β ΄ Importing torch...
β Importing numpy...
[WARNING 08-15 03:17:05] 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 Ή 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: a85b6a47-4d8a-4eac-bf56-0e3a3570979d
_________________________________________________
/ \
| OmniOpt2 - Optimizing like SchrΓΆdingerβs catβunti |
| l you look, it's both perfect and terrible. |
\ /
=================================================
\
\
\
\
/- _ `-/ '
(/\/ \ \ /\
/ / | ` \
O O ) / |
`-^--'`< '
(_.) _ ) /
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<----|====O)))==) \) /====
<----' `--' `.__,' \
| |
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______( (_ / \______
,' ,-----' | \
`--{__________) \/
β Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 20 --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 --live_share
β Disabling logging...
β Setting run folder...
β Creating folder /oo_dir/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2...
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: /oo_dir/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
β Writing live_share file if it is present...
β Writing job_start_time file...
β Writing git information
β Checking max_eval...
Warning: --num_random_steps 1 is smaller than --num_parallel_jobs 20. It's recommended that --num_parallel_jobs is the same as or a multiple of --num_random_steps
β Calculating number of steps...
β Adding excluded nodes...
β Setting global generation strategy
β 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
β Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=admin&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=2 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 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
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 -1000 β 1000 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
β Starting generator workers
BOTORCH_MODULAR, best RESULT: -9969053.61275875, waiting for 2 jobs, finished 2 jobs : 100%|ββββββββββ| 6/6 [00:21<00:00, 3.60s/it]
Best RESULT, min (total: 2 + inserted jobs: 4)
βββββββββββββββββββββ³ββββββββββββββββββββββββ³ββββββββββββββββββββββ³βββββββββββββββββββββββ³βββββββββββββββββββββββ³ββββββββββββ³ββββββββββββββββββββ³ββββββββββββββββ³βββββββββββββββ³ββββββββββββββββββββ
β OO_Info_int_param β OO_Info_int_param_two β OO_Info_float_param β OO_Info_choice_param β OO_Info_SLURM_JOB_ID β int_param β float_param β int_param_two β choice_param β RESULT β
β‘βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ©
β -100.0 β -100.0 β 992.3742093430812 β 1.0 β 686.0 β -100 β 992.3742093430812 β -100 β 1 β -9969053.61275875 β
βββββββββββββββββββββ΄ββββββββββββββββββββββββ΄ββββββββββββββββββββββ΄βββββββββββββββββββββββ΄βββββββββββββββββββββββ΄ββββββββββββ΄ββββββββββββββββββββ΄ββββββββββββββββ΄βββββββββββββββ΄ββββββββββββββββββββ
Runtime Infos
βββββββββββββββββββββββββ³ββββββββββββ³ββββββββββββ³βββββββββββββββ³ββββββββββββββ
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
2025-08-15 03:17:07 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-08-15 03:17:14 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, getting new HP set #1/2
2025-08-15 03:17:14 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, getting new HP set #2/2
2025-08-15 03:17:14 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, requested 2 jobs, got 2, 3.42 s/job
2025-08-15 03:17:14 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, eval #1/2 start
2025-08-15 03:17:14 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, eval #2/2 start
2025-08-15 03:17:15 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, starting new job
2025-08-15 03:17:15 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, starting new job
2025-08-15 03:17:15 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, pending 1 = ∑1/20, started new job
2025-08-15 03:17:15 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, pending 2 = ∑2/20, started new job
2025-08-15 03:17:17 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, pending 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:17 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:18 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:19 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:20 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:20 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:21 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:22 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:22 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:23 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:24 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:24 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:25 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:26 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:17:26 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, new result: -9969053.61275875
2025-08-15 03:17:27 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -220225.32, running 2 = ∑2/20, new result: -9250783.76655198
2025-08-15 03:17:28 (2078f2f8-dd99-4345-8a41-b56408b23936): BOTORCH_MODULAR, best RESULT: -9969053.61275875, waiting for 2 jobs, finished 2 jobs
timestamp,ram_usage_mb,cpu_usage_percent
1755227827,741.7578125,57.2
1755227827,741.76953125,100.0