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
0,1760776832,2,8ac7ac9d-24ee-43e2-9d65-3b48302c4320,1760776834,1760776840,6,./.tests/optimization_example --int_param='-33' --float_param='-75.47019287943840026855' --choice_param='4' --int_param_two='-31' --nr_results=1,0,,d9e926875d15,-33,-31,-75.4701928794384002685546875,4,0_0,COMPLETED,SOBOL,-92123.439420540205901488661766052246,-33,-75.4701928794384002685546875,-31,4
1,1760776858,2,8ac7ac9d-24ee-43e2-9d65-3b48302c4320,1760776860,1760776866,6,./.tests/optimization_example --int_param='-57' --float_param='9.59104918954584384494' --choice_param='hallo' --int_param_two='-86' --nr_results=1,0,,d9e926875d15,-57,-86,9.591049189545843844939554401208,hallo,1_0,COMPLETED,BOTORCH_MODULAR,-121188.497326608005096204578876495361,-57,9.591049189545843844939554401208,-86,hallo
========================================================================
Current git-hash: 5bc15eb90264da1af3a4f977836d321945e13f09 (last fully tested stable version 4 commits ago [62196d07a39ec32920cf32a26d8f00f4ea9f36fd, 8678])
Using coverage run -p because $RUN_WITH_COVERAGE is set
โ Importing logging...
โ Importing warnings...
โ Importing argparse...
โ Importing datetime...
โ Importing dataclass...
โ Importing socket...
โ Importing stat...
โ Importing pwd...
โ Importing base64...
โ Importing json...
โ Importing yaml...
โ Importing toml...
โ Importing csv...
โ Importing ast...
โ Importing rich.table...
โ Importing rich print...
โ Importing rich.pretty...
โ Importing pformat...
โ Importing rich.prompt...
โ Importing types.FunctionType...
โ Importing typing...
โ Importing ThreadPoolExecutor...
โ Importing submitit.LocalExecutor...
โ Importing submitit.Job...
โ Importing importlib.util...
โ Importing platform...
โ Importing inspect frame info...
โ Importing pathlib.Path...
โ Importing uuid...
โ Importing cowsay...
โ Importing shutil...
โ Importing itertools.combinations...
โ Importing os.listdir...
โ Importing os.path...
โ Importing PIL.Image...
โ Importing sixel...
โ Importing subprocess...
โ Importing tqdm...
โ Importing beartype...
โ Importing statistics...
โ Trying to import pyfiglet...
โ Importing helpers...
โ Parsing arguments...
โ ผ Importing torch...
โ Importing numpy...
[WARNING 10-18 08:40:17] 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]`.
โ ง Importing ax...
โ Importing ax.core.generator_run...
โ Importing Cont_X_trans and Y_trans from ax.adapter.registry...
โ Importing ax.core.arm...
โ Importing ax.core.objective...
โ Importing ax.core.Metric...
โ Importing ax.exceptions.core...
โ Importing ax.exceptions.generation_strategy...
โ Importing CORE_DECODER_REGISTRY...
โ Trying ax.generation_strategy.generation_node...
โ Importing GenerationStep, GenerationStrategy from generation_strategy...
โ Importing GenerationNode from generation_node...
โ Importing ExternalGenerationNode...
โ Importing MaxTrials...
โ Importing GeneratorSpec...
โ Importing Models from ax.generation_strategy.registry...
โ Importing get_pending_observation_features...
โ Importing load_experiment...
โ Importing save_experiment...
โ Importing save_experiment_to_db...
โ Importing TrialStatus...
โ Importing Data...
โ Importing Experiment...
โ Importing parameter types...
โ Importing TParameterization...
โ Importing pandas...
โ Importing AxClient and ObjectiveProperties...
โ Importing RandomForestRegressor...
โ Importing botorch...
โ Importing submitit...
โ Importing ax logger...
โ Importing SQL-Storage-Stuff...
Run-UUID: 5ee62329-515c-4bce-91f8-67ce03c6892d
.d88888b. d8b .d88888b. 888 .d8888b.
d88P" "Y88b Y8Pd88P" "Y88b 888 d88P Y88b
888 888 888 888 888 888
888 88888888b.d88b. 88888b. 888888 88888888b. 888888 .d88P
888 888888 "888 "88b888 "88b888888 888888 "88b888 .od888P"
888 888888 888 888888 888888888 888888 888888 d88P"
Y88b. .d88P888 888 888888 888888Y88b. .d88P888 d88PY88b. 888"
"Y88888P" 888 888 888888 888888 "Y88888P" 88888P" "Y888888888888
888
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888
โ Writing worker creation log...
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --generate_all_jobs_at_once --follow --show_generate_time_table
โ Disabling logging...
โ Setting run folder...
โ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0...
โ Writing revert_to_random_when_seemingly_exhausted file ...
โ Writing username state file...
โ Writing result names file...
โ Writing result min/max file...
โ Saving state files...
Run-folder: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
โ Writing live_share file if it is present...
โ Writing job_start_time file...
โ Writing git information
โ Checking max_eval...
โ Calculating number of steps...
โ Adding excluded nodes...
โ Setting global generation strategy
โ Initializing ax_client...
โ 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=350 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
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
โโโโโโโโโโโโโโโโโณโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโณโโโโโโโโโโโโโ
โ Name โ Type โ Lower bound โ Upper bound โ Values โ Type โ Log Scale? โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ int_param โ range โ -100 โ 10 โ โ int โ No โ
โ float_param โ range โ -100 โ 10 โ โ float โ No โ
โ choice_param โ choice โ โ โ 1, 2, 4, 8, 16, hallo โ โ โ
โ int_param_two โ range โ -100 โ 10 โ โ int โ No โ
โโโโโโโโโโโโโโโโโดโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโโโโโโโ
Result-Names
โโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โ Result-Name โ Min or max? โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ RESULT โ min โ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
โ Write files and show overview
SOBOL, best RESULT: -121188.497326608, finishing jobs, finished 1 job : 100%|โโโโโโโโโโ| 2/2 [00:42<00:00, 21.30s/it]
Best RESULT, min (total: 2)
โโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโ
โ OO_Info_int_param โ OO_Info_int_param_two โ OO_Info_float_param โ OO_Info_choice_param โ int_param โ float_param โ int_param_two โ choice_param โ RESULT โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ -57 โ -86 โ 9.591049189545844 โ hallo โ -57 โ 9.591049189545844 โ -86 โ hallo โ -121188.497326608 โ
โโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโ
Runtime Infos
โโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โ Number of evaluations โ Min time โ Max time โ Average time โ Median time โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 2 โ 6.00 sec โ 6.00 sec โ 6.00 sec โ 6.00 sec โ
โโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
Model generation times
โโโโโโโโโโโโโณโโโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโโ
โ Iteration โ Seconds โ Jobs โ Time per job โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 1 โ 0.019 โ 1 โ 0.019 โ
โ 2 โ 0.538 โ 1 โ 0.538 โ
โโโโโโโโโโโโโผโโโโโโโโโโผโโโโโโโผโโโโโโโโโโโโโโโค
โ Average โ 0.278 โ โ โ
โ Median โ 0.278 โ โ โ
โ Total โ 0.556 โ โ โ
โ Max โ 0.538 โ โ โ
โ Min โ 0.019 โ โ โ
โโโโโโโโโโโโโดโโโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโโ
Job submission durations
โโโโโโโโโโโณโโโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโโ
โ Batch โ Seconds โ Jobs โ Time per job โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 1 โ 0.176 โ 1 โ 0.176 โ
โ 2 โ 0.098 โ 1 โ 0.098 โ
โโโโโโโโโโโผโโโโโโโโโโผโโโโโโโผโโโโโโโโโโโโโโโค
โ Average โ 0.137 โ โ โ
โ Median โ 0.137 โ โ โ
โ Total โ 0.274 โ โ โ
โ Max โ 0.176 โ โ โ
โ Min โ 0.098 โ โ โ
โโโโโโโโโโโดโโโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโโ
2025-10-18 08:40:32 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, Started OmniOpt2 run...
2025-10-18 08:40:32 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, getting new HP set (no sbatch)
2025-10-18 08:40:32 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2025-10-18 08:40:32 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, eval #1/1 start
2025-10-18 08:40:32 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, starting new job
2025-10-18 08:40:32 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, started new job
2025-10-18 08:40:41 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, new result: -92123.4394205402
2025-10-18 08:40:58 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, best RESULT: -92123.4394205402, finishing jobs, finished 1 job
2025-10-18 08:40:58 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, best RESULT: -92123.4394205402, getting new HP set (no sbatch)
2025-10-18 08:40:58 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, best RESULT: -92123.4394205402, requested 1 jobs, got 1, 0.54 s/job
2025-10-18 08:40:58 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, best RESULT: -92123.4394205402, eval #1/1 start
2025-10-18 08:40:58 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, best RESULT: -92123.4394205402, starting new job
2025-10-18 08:40:58 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, best RESULT: -92123.4394205402, started new job
2025-10-18 08:41:07 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, best RESULT: -92123.4394205402, new result: -121188.497326608
2025-10-18 08:41:14 (8ac7ac9d-24ee-43e2-9d65-3b48302c4320): SOBOL, best RESULT: -121188.497326608, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1760776832,807.5234375,8.7