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,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,1.682541128300000021766891222796,2.031145156700000065086442191387,-93,-80.9637786448001861572265625,-71,8
1,,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.195835929900000094150414042815,2.008054055100000123701420307043,5,-22.42276475764811038970947265625,-2,2
2,1761342668,23,e2a53d6a-62b4-40d6-af9e-a654234a892b,1761342691,1761342697,6,./.tests/optimization_example --int_param='10' --float_param='10' --choice_param='2' --int_param_two='-63' --nr_results=2,0,,c30,10,-63,10,2,1169720,2_0,COMPLETED,BOTORCH_MODULAR,1.499296729526579996516488790803,2.085068306277630068024109277758,10,10,-63,2
3,1761342670,6,e2a53d6a-62b4-40d6-af9e-a654234a892b,1761342676,1761342682,6,./.tests/optimization_example --int_param='-58' --float_param='10' --choice_param='2' --int_param_two='-25' --nr_results=2,0,,c98,-58,-25,10,2,1169721,3_0,COMPLETED,BOTORCH_MODULAR,1.009200214947669982379352404678,2.921296178220900152666672511259,-58,10,-25,2
To cancel, press CTRL c, then run 'scancel 1169719'
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
⠋ Importing dataclass...
⠋ Importing socket...
⠋ Importing stat...
⠋ Importing pwd...
⠋ Importing base64...
⠋ Importing json...
⠋ Importing yaml...
⠋ Importing toml...
⠋ Importing csv...
⠋ 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 23:50:53] 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: 1
Using old run's --max_eval: 2
Run-UUID: 421eeac5-88ba-4f00-9e80-78338312c21b
______________________________________________
| OmniOpt2 - May the optimal values be with you. |
==============================================
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⠋ Writing worker creation log...
omniopt --continue runs/multi_results_2_results_BOTORCH_MODULAR/0 --live_share --mem_gb=4 --live_share
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /data/horse/ws/s3811141-oo_crap/omniopt/runs/multi_results_2_results_BOTORCH_MODULAR/1...
⠋ 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: /data/horse/ws/s3811141-oo_crap/omniopt/runs/multi_results_2_results_BOTORCH_MODULAR/1
Continuation from runs/multi_results_2_results_BOTORCH_MODULAR/0
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠹ Writing git information
⠋ Checking max_eval...
You have less --max_eval 2 than --num_random_steps 20. Switched both.
Warning: --num_random_steps 2 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
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=s3811141&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=1 for live-results.
You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100.
Generation strategy: BOTORCH_MODULAR for 4 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=2
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param │ rangeparameter │ -100 │ 10 │ │ int │ No │
│ float_param │ rangeparameter │ -100 │ 10 │ │ 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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1 │ min │
│ RESULT2 │ min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, 4 done, waiting for 1 job, finished 1 job : 100%|██████████| 4/4 [00:42<00:00, 10.55s/it]
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩
│ 1 │ 5 │ -22.42276475764811 │ -2 │ 2 │ 1.1958359299 │ 2.0080540551 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼─────────────────┤
│ 3 │ -58 │ 10 │ -25 │ 2 │ 1.00920021494767 │ 2.9212961782209 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴─────────────────┘
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 23:51:02 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-24 23:51:04 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, getting new HP set
2025-10-24 23:51:05 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.22 s/job
2025-10-24 23:51:07 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, eval #1/1 start
2025-10-24 23:51:08 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, starting new job
2025-10-24 23:51:09 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, unknown 1∑1 (5%/20), started new job
2025-10-24 23:51:10 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, unknown 1∑1 (5%/20), getting new HP set
2025-10-24 23:51:10 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, unknown 1∑1 (5%/20), requested 1 jobs, got 1, 1.11 s/job
2025-10-24 23:51:10 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, unknown 1∑1 (5%/20), eval #1/1 start
2025-10-24 23:51:10 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, unknown 1∑1 (5%/20), starting new job
2025-10-24 23:51:10 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, unknown 2∑2 (5%/20), started new job
2025-10-24 23:51:11 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, unknown 2∑2 (5%/20), waiting for 2 jobs
2025-10-24 23:51:12 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, pending 2∑2 (5%/20), waiting for 2 jobs
2025-10-24 23:51:13 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, pending 2∑2 (10%/20), waiting for 2 jobs
2025-10-24 23:51:15 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, pending/running 1/1∑2 (10%/20), waiting for 2 jobs
2025-10-24 23:51:20 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, running 2∑2 (10%/20), waiting for 2 jobs
2025-10-24 23:51:22 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, running 2∑2 (10%/20), new result: RESULT1: 1.009200, RESULT2: 2.921296
2025-10-24 23:51:26 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, 3 done, running 1∑1 (10%/20), waiting for 2 jobs, finished 1 job
2025-10-24 23:51:26 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, 3 done, running 1∑1 (10%/20), waiting for 1 job
2025-10-24 23:51:29 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, 3 done, running 1∑1 (5%/20), waiting for 1 job
2025-10-24 23:51:38 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, 3 done, running 1∑1 (5%/20), new result: RESULT1: 1.499297, RESULT2: 2.085068
2025-10-24 23:51:43 (e2a53d6a-62b4-40d6-af9e-a654234a892b): BOTORCH_MODULAR, 4 done, waiting for 1 job, finished 1 job
1761342656.2805,20,0,0
1761342668.2229,20,0,0
1761342668.7759,20,1,5
1761342672.9101,20,1,5
1761342673.7767,20,2,10
1761342688.6838,20,2,10
1761342689.2549,20,1,5
1761342703.0907,20,1,5
1761342707.7479,20,0,0
1761342709.7637,20,0,0
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1761342656,807.52734375,12.2