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,,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-80904.09650527690246235579252243042,-46,-51.506969928741455078125,-43,2
1,,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-4292.703519294999750854913145303726,8,-14.032034886724527922297056647949,5,hallo
2,1762176011,19,b9e9b320-f967-4623-834b-e105a175a5da,1762176030,1762176036,6,./.tests/optimization_example --int_param='-93' --float_param='-85.54932635608611235511' --choice_param='2' --int_param_two='-85' --nr_results=1,0,,c117,-93,-85,-85.54932635608611235511489212513,2,1211377,2_0,COMPLETED,BOTORCH_MODULAR,-258595.925035410007694736123085021973,-93,-85.54932635608611235511489212513,-85,2
3,1762176039,21,b9e9b320-f967-4623-834b-e105a175a5da,1762176060,1762176066,6,./.tests/optimization_example --int_param='-100' --float_param='-47.76163928621721055379' --choice_param='2' --int_param_two='-100' --nr_results=1,0,,c117,-100,-100,-47.761639286217210553786571836099,2,1211380,3_0,COMPLETED,BOTORCH_MODULAR,-247754.025801688985666260123252868652,-100,-47.761639286217210553786571836099,-100,2
========================================================================
To cancel, press CTRL c, then run 'scancel 1211375'
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
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⠋ Importing socket...
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⠋ Importing pwd...
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⠋ 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...
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⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
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⠋ Importing beartype...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠙ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠹ Importing torch...
⠋ Importing numpy...
[WARNING 11-03 14:20:01] 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...
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⠋ Importing save_experiment_to_db...
⠋ Importing TrialStatus...
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⠋ Importing Experiment...
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⠋ Importing pandas...
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⠋ Importing RandomForestRegressor...
⠋ Importing botorch...
⠋ Importing submitit...
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⠋ Importing SQL-Storage-Stuff...
Using old run's --time: 60
Run-UUID: afba9f7e-58c5-43f4-9a98-ca4fca66a882
____________________________________________
| OmniOpt2 - Hyperparameter alchemy in action! |
============================================
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⠋ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=1 --mem_gb=4 --num_random_steps=1 --max_eval=2 --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share --live_share
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /home/h8/s3811141/test/randomtest_93382/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/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: /home/h8/s3811141/test/randomtest_93382/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠸ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=s3811141&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=38 for live-results.
You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100.
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
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ 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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -258595.92503541, waiting for 1 job, finished 1 job : 100%|██████████| 4/4 [01:00<00:00, 15.15s/it]
Best RESULT, min (total: 2 + inserted jobs: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ OO_Info_SLURM_JOB_ID ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ -93.0 │ -85.0 │ -85.54932635608611 │ 2.0 │ 1211377.0 │ -93 │ -85.54932635608611 │ -85 │ 2 │ -258595.92503541 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-11-03 14:20:08 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-11-03 14:20:10 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, getting new HP set
2025-11-03 14:20:10 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.12 s/job
2025-11-03 14:20:11 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, eval #1/1 start
2025-11-03 14:20:11 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, starting new job
2025-11-03 14:20:26 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, unknown 1 = ∑1/1, started new job
2025-11-03 14:20:27 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, unknown 1 = ∑1/1, waiting for 1 job
2025-11-03 14:20:29 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, pending 1 = ∑1/1, waiting for 1 job
2025-11-03 14:20:32 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, running 1 = ∑1/1, waiting for 1 job
2025-11-03 14:20:37 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, running 1 = ∑1/1, new result: RESULT: -258595.925035
2025-11-03 14:20:38 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, waiting for 1 job, finished 1 job
2025-11-03 14:20:39 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, getting new HP set
2025-11-03 14:20:39 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, requested 1 jobs, got 1, 0.68 s/job
2025-11-03 14:20:39 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, eval #1/1 start
2025-11-03 14:20:39 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, starting new job
2025-11-03 14:20:51 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, unknown 1 = ∑1/1, started new job
2025-11-03 14:20:52 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, unknown 1 = ∑1/1, waiting for 1 job
2025-11-03 14:20:53 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, pending 1 = ∑1/1, waiting for 1 job
2025-11-03 14:21:04 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, running 1 = ∑1/1, waiting for 1 job
2025-11-03 14:21:06 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, running 1 = ∑1/1, new result: RESULT: -247754.025802
2025-11-03 14:21:08 (b9e9b320-f967-4623-834b-e105a175a5da): BOTORCH_MODULAR, best RESULT: -258595.92503541, waiting for 1 job, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1762176004,794.78125,9.7
1762176064,829.390625,8.9