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,1.984902749800000032465163712914,2.881901536500000027274381864117,-41,-66.397278308868408203125,-88,1
1,,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.741886670099999978589266902418,2.279162707399999820978564457619,-90,9.402256137493301579866056272294,-2,4
2,1766952136,18,89d40df3-08d1-4962-928c-075ad63f46e5,1766952154,1766952160,6,./.tests/optimization_example --int_param='-21' --float_param='10' --choice_param='4' --int_param_two='10' --nr_results=2,0,,c151,-21,10,10,4,2104722,2_0,COMPLETED,BOTORCH_MODULAR,1.832647293181260073069438476523,2.31551802493365022073135151004,-21,10,10,4
3,1766952137,28,89d40df3-08d1-4962-928c-075ad63f46e5,1766952165,1766952171,6,./.tests/optimization_example --int_param='-100' --float_param='10' --choice_param='4' --int_param_two='-74' --nr_results=2,0,,c134,-100,-74,10,4,2104723,3_0,COMPLETED,BOTORCH_MODULAR,1.100632262489859902743205566367,2.63205665196025995200557190401,-100,10,-74,4
========================================================================
To cancel, press CTRL c, then run 'scancel 2104721'
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
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⠋ Importing pwd...
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⠋ 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...
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⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
⠋ Importing beartype...
[WARNING 12-28 21:02:03] 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 rendering stuff...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠹ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠋ Importing torch...
⠋ Importing numpy...
⠋ 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 MinTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Generators from ax.generation_strategy.registry...
⠋ Importing get_pending_observation_features...
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⠋ 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: ca0b0dcd-e5c1-4215-b55a-28089767f183
_________________________________________________
/ \
| OmniOpt2 - Adjusting parameters with the precisio |
| n of a laser-guided squirrel. |
\ /
=================================================
\
\
\
|\_/|,,_____,~~`
(.".)~~ )`~}}
\o/\ /---~\\ ~}}
_// _// ~}
⠋ 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 /home/h8/s3811141/test/randomtest_93382/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: /home/h8/s3811141/test/randomtest_93382/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=5 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 [00:40<00:00, 10.25s/it]
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -90 │ 9.402256137493302 │ -2 │ 4 │ 1.7418866701 │ 2.2791627074 │
├─────────────┼───────────┼───────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -100 │ 10 │ -74 │ 4 │ 1.10063226248986 │ 2.63205665196026 │
└─────────────┴───────────┴───────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2025-12-28 21:02:14 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-28 21:02:15 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, getting new HP set
2025-12-28 21:02:16 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.28 s/job
2025-12-28 21:02:16 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, eval #1/1 start
2025-12-28 21:02:16 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, starting new job
2025-12-28 21:02:17 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, unknown 1∑1 (5%/20), started new job
2025-12-28 21:02:17 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, unknown 1∑1 (5%/20), getting new HP set
2025-12-28 21:02:17 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, unknown 1∑1 (5%/20), requested 1 jobs, got 1, 0.63 s/job
2025-12-28 21:02:17 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, unknown 1∑1 (5%/20), eval #1/1 start
2025-12-28 21:02:17 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, unknown 1∑1 (5%/20), starting new job
2025-12-28 21:02:17 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, unknown 2∑2 (5%/20), started new job
2025-12-28 21:02:18 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, unknown 2∑2 (5%/20), waiting for 2 jobs
2025-12-28 21:02:21 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, unknown 2∑2 (10%/20), waiting for 2 jobs
2025-12-28 21:02:22 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, pending 2∑2 (10%/20), waiting for 2 jobs
2025-12-28 21:02:38 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, running 2∑2 (10%/20), waiting for 2 jobs
2025-12-28 21:02:41 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, running 2∑2 (10%/20), new result: RESULT1: 1.832647, RESULT2: 2.315518
2025-12-28 21:02:44 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, 3 done, running 1∑1 (10%/20), waiting for 2 jobs, finished 1 job
2025-12-28 21:02:44 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, 3 done, running 1∑1 (10%/20), waiting for 1 job
2025-12-28 21:02:46 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, 3 done, running 1∑1 (5%/20), waiting for 1 job
2025-12-28 21:02:51 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, 3 done, running 1∑1 (5%/20), new result: RESULT1: 1.100632, RESULT2: 2.632057
2025-12-28 21:02:55 (89d40df3-08d1-4962-928c-075ad63f46e5): BOTORCH_MODULAR, 4 done, waiting for 1 job, finished 1 job
1766952128.4849,20,0,0
1766952136.6533,20,0,0
1766952136.9111,20,1,5
1766952140.5049,20,1,5
1766952141.0625,20,2,10
1766952165.5614,20,2,10
1766952166.1431,20,1,5
1766952175.2352,20,1,5
1766952179.9296,20,0,0
1766952181.6223,20,0,0
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1766952128,816.234375,15.3