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,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,1763645198,2,4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4,1763645200,1763645206,6,./.tests/optimization_example --int_param='-31' --float_param='-84.61968749761581420898' --choice_param='4' --int_param_two='-36' --nr_results=2,0,,runnervmfxdz0,-31,-36,-84.619687497615814208984375,4,0_0,COMPLETED,SOBOL,1.579153362500000046253489927039,2.706548048300000175458990270272,-31,-84.619687497615814208984375,-36,4
1,1763645211,2,4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4,1763645213,1763645219,6,./.tests/optimization_example --int_param='-100' --float_param='10' --choice_param='2' --int_param_two='10' --nr_results=2,0,,runnervmfxdz0,-100,10,10,2,1_0,COMPLETED,BOTORCH_MODULAR,1.399904615552260089827996125678,2.11512924320728989968642963504,-100,10,10,2
========================================================================
Current git-hash: 28912008445bcb36c874f684198cee5af77206e3 (last fully tested stable version 3 commits ago [91fbcf2592bafca205c776a3bb503b30557d1f5d, 9083])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 11-20 13:26:29] 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]`.
Run-UUID: b21120e9-7bff-44ab-9a9b-75ad030b7f31
_________________________________________________
/ \
| OmniOpt2 - Hyperparameters: The Hitchcock thrille |
| r of machine learning. |
\ /
=================================================
\
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.--.
|o_o |
|:_/ |
// \ \
(| | )
/'\_ _/`\
\___)=(___/
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=TRANSFORMS_Cont_X_trans_Y_trans --transforms=Cont_X_trans_Y_trans --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0y --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 --result_names RESULT1=min RESULT2=min --generate_all_jobs_at_once --follow --show_generate_time_table
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_Cont_X_trans_Y_trans/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=TRANSFORMS_Cont_X_trans_Y_trans&run_nr=110 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=2
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param │ range │ -100 │ 10 │ │ int │ No │
│ float_param │ range │ -100 │ 10 │ │ float │ No │
│ choice_param │ choice │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ range │ -100 │ 10 │ │ int │ No │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1 │ min │
│ RESULT2 │ min │
└─────────────┴─────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT2.
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -100 │ 10 │ 10 │ 2 │ 1.39990461555226 │ 2.11512924320729 │
└─────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Not printing sixel graphics in CI
Not printing sixel graphics in CI
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.011 │ 1 │ 0.011 │
│ 2 │ 0.821 │ 1 │ 0.821 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.416 │ │ │
│ Median │ 0.416 │ │ │
│ Total │ 0.832 │ │ │
│ Max │ 0.821 │ │ │
│ Min │ 0.011 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.113 │ 1 │ 0.113 │
│ 2 │ 0.104 │ 1 │ 0.104 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.108 │ │ │
│ Median │ 0.108 │ │ │
│ Total │ 0.217 │ │ │
│ Max │ 0.113 │ │ │
│ Min │ 0.104 │ │ │
└─────────┴─────────┴──────┴──────────────┘
2025-11-20 13:26:38 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): SOBOL, Started OmniOpt2 run...
2025-11-20 13:26:38 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): SOBOL, getting new HP set (no sbatch)
2025-11-20 13:26:38 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): SOBOL, requested 1 jobs, got 1, 0.01 s/job
2025-11-20 13:26:38 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): SOBOL, eval #1/1 start
2025-11-20 13:26:38 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): SOBOL, starting new job
2025-11-20 13:26:38 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): SOBOL, started new job
2025-11-20 13:26:47 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): SOBOL, new result: RESULT1: 1.579153, RESULT2: 2.706548
2025-11-20 13:26:50 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): SOBOL, 1 done, finishing jobs, finished 1 job
2025-11-20 13:26:51 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2025-11-20 13:26:51 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.82 s/job
2025-11-20 13:26:51 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): BOTORCH_MODULAR, 1 done, eval #1/1 start
2025-11-20 13:26:51 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): BOTORCH_MODULAR, 1 done, starting new job
2025-11-20 13:26:51 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): BOTORCH_MODULAR, 1 done, started new job
2025-11-20 13:27:00 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.399905, RESULT2: 2.115129
2025-11-20 13:27:19 (4a93a4ee-9c1b-4c57-b1d9-c12006cc23d4): BOTORCH_MODULAR, 2 done, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1763645190,750.14453125,28.5
1763645255,788.00390625,4