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
0,1755227776,5,808d5b6c-e961-4c8e-92d3-6cf11b6eafbe,1755227781,1755227787,6,./.tests/optimization_example --int_param='-100' --float_param='10' --choice_param='1' --int_param_two='-100' --nr_results=1,0,,slurmnode2,-100,-100,10,1,683,0_0,COMPLETED,BOTORCH_MODULAR,-220225.320000000006984919309616088867,-100,10,-100,1
1,1755227776,5,808d5b6c-e961-4c8e-92d3-6cf11b6eafbe,1755227781,1755227787,6,./.tests/optimization_example --int_param='7' --float_param='10' --choice_param='1' --int_param_two='-11' --nr_results=1,0,,slurmnode3,7,-11,10,1,684,1_0,COMPLETED,BOTORCH_MODULAR,-3072.519999999999981810105964541435,7,10,-11,1
2,,,,,,,,,,,,,,,,2_0,COMPLETED,SOBOL,-64011.158601970499148592352867126465,-18,-56.37738883495330810546875,-41,2
3,,,,,,,,,,,,,,,,3_0,COMPLETED,SOBOL,-64510.498334964897367171943187713623,-46,0.21692217327654361724853515625,-57,1
========================================================================
To cancel, press CTRL c, then run 'scancel 682'
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 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 น Importing helpers...
โ Parsing arguments...
โ ด Importing torch...
โ Importing numpy...
[WARNING 08-15 03:16:02] 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 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...
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: efe52e43-1ed1-412b-931a-15b6919b1662
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โ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 20 --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 --live_share
โ Disabling logging...
โ Setting run folder...
โ Creating folder /oo_dir/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1...
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: /oo_dir/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Continuation from 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...
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
โ Calculating number of steps...
โ Adding excluded nodes...
โ Setting global generation strategy
โ Initializing ax_client...
โ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=admin&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=1 for live-results.
โ ธ Initializing live share...
โ ธ 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
โโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโณโโโโโโโโโโโโโ
โ Name โ Type โ Lower bound โ Upper bound โ Values โ Type โ Log Scale? โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ int_param โ rangeparameter โ -100 โ 10 โ โ int โ No โ
โ float_param โ rangeparameter โ -100 โ 10 โ โ float โ No โ
โ choice_param โ choiceparameter โ โ โ 1, 2, 4, 8, 16, hallo โ โ โ
โ int_param_two โ rangeparameter โ -100 โ 10 โ โ int โ No โ
โโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโโโโโโโ
Result-Names
โโโโโโโโโโโโโโโณโโโโโโโโโโโโโโ
โ Result-Name โ Min or max? โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ RESULT โ min โ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโโโ
โ Write files and show overview
โ Starting generator workers
BOTORCH_MODULAR, best RESULT: -220225.32, waiting for 2 jobs, finished 2 jobs : 100%|โโโโโโโโโโ| 4/4 [00:21<00:00, 5.45s/it]
Best RESULT, min (total: 2 + inserted jobs: 2)
โโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโ
โ OO_Info_int_param โ OO_Info_int_param_two โ OO_Info_float_param โ OO_Info_choice_param โ OO_Info_SLURM_JOB_ID โ int_param โ float_param โ int_param_two โ choice_param โ RESULT โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ -100.0 โ -100.0 โ 10.0 โ 1.0 โ 683.0 โ -100 โ 10.0 โ -100 โ 1 โ -220225.32 โ
โโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโ
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
2025-08-15 03:16:08 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-08-15 03:16:15 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, getting new HP set #1/2
2025-08-15 03:16:15 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, getting new HP set #2/2
2025-08-15 03:16:15 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, requested 2 jobs, got 2, 3.40 s/job
2025-08-15 03:16:15 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, eval #1/2 start
2025-08-15 03:16:15 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, eval #2/2 start
2025-08-15 03:16:16 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, starting new job
2025-08-15 03:16:16 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, starting new job
2025-08-15 03:16:16 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, pending 1 = ∑1/20, started new job
2025-08-15 03:16:16 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, pending 2 = ∑2/20, started new job
2025-08-15 03:16:18 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, pending 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:18 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, pending 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:19 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:20 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:20 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:21 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:22 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:22 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:23 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:24 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:24 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:25 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:26 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:26 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:27 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, waiting for 2 jobs
2025-08-15 03:16:28 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, new result: -220225.32
2025-08-15 03:16:28 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -64510.4983349649, running 2 = ∑2/20, new result: -3072.52
2025-08-15 03:16:30 (808d5b6c-e961-4c8e-92d3-6cf11b6eafbe): BOTORCH_MODULAR, best RESULT: -220225.32, waiting for 2 jobs, finished 2 jobs
timestamp,ram_usage_mb,cpu_usage_percent
1755227768,743.65234375,55.4
1755227768,743.6640625,83.3