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,RESULT,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-93426.779388145194388926029205322266,-15,-76.5231619775295257568359375,-43,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-205813.150098043988691642880439758301,-98,6.031023668226849210327600303572,-95,hallo
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-118834.119999999995343387126922607422,-100,10,-23,hallo
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-247242.654079197003738954663276672363,-100,-47.038576151924715418317646253854,-100,hallo
4,1760261976,2,3f648e02-3794-459c-acc0-6a26986f77c9,1760261978,1760261984,6,./.tests/optimization_example --int_param='-100' --float_param='-926.20837925247701605258' --choice_param='hallo' --int_param_two='-100' --nr_results=1,0,,b33eb5fcb0df,-100,-100,-926.208379252477016052580438554287,hallo,4_0,COMPLETED,BOTORCH_MODULAR,-8891652.97590024955570697784423828125,-100,-926.208379252477016052580438554287,-100,hallo
5,1760261989,2,3f648e02-3794-459c-acc0-6a26986f77c9,1760261991,1760261997,6,./.tests/optimization_example --int_param='-20' --float_param='-1000' --choice_param='hallo' --int_param_two='-100' --nr_results=1,0,,b33eb5fcb0df,-20,-100,-1000,hallo,5_0,COMPLETED,BOTORCH_MODULAR,-10216252.5199999995529651641845703125,-20,-1000,-100,hallo
========================================================================
Current git-hash: 2a94577b3ba6bd6005d9bc5a4f1ca92c5aa73f0c (last fully tested stable version 8 commits ago [3d9b02c7dbb700b5e6067077a5bebd933279292f, 8648])
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...
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โ Importing pwd...
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โ Importing rich.table...
โ Importing rich print...
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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...
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โ Importing itertools.combinations...
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โ Importing beartype...
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โ Trying to import pyfiglet...
โ Importing helpers...
โ Parsing arguments...
โ น Importing torch...
โ Importing numpy...
[WARNING 10-12 09:39:32] 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 ฆ 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...
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โ Importing Models from ax.generation_strategy.registry...
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Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: aa53c855-34ba-4a4f-bf16-07a2a7e78f2b
_________________________________________________
/ \
| OmniOpt2 - Inception-level optimization: going de |
| eper with every layer. |
\ /
=================================================
\
\
\
\
___-------___
_-~~ ~~-_
_-~ /~-_
/^\__/^\ /~ \ / \
/| O|| O| / \_______________/ \
| |___||__| / / \ \
| \ / / \ \
| (_______) /______/ \_________ \
| / / \ / \
\ \^\\ \ / \ /
\ || \______________/ _-_ //\__//
\ ||------_-~~-_ ------------- \ --/~ ~\ || __/
~-----||====/~ |==================| |/~~~~~
(_(__/ ./ / \_\ \.
(_(___/ \_____)_)
โ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
โ Disabling logging...
โ Setting run folder...
โ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2...
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: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
โ Writing live_share file if it is present...
โ Writing job_start_time file...
โ Writing git information
โ Checking max_eval...
โ Calculating number of steps...
โ Adding excluded nodes...
โ Setting global generation strategy
โ Initializing ax_client...
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
โ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=298 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 9 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 -1000 โ 1000 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
BOTORCH_MODULAR, best RESULT: -10216252.52, finishing jobs, finished 1 job : 100%|โโโโโโโโโโ| 6/6 [00:25<00:00, 4.32s/it]
Best RESULT, min (total: 2 + inserted jobs: 4)
โโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโ
โ OO_Info_int_param โ OO_Info_int_param_two โ OO_Info_float_param โ OO_Info_choice_param โ int_param โ float_param โ int_param_two โ choice_param โ RESULT โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ -20.0 โ -100.0 โ -1000.0 โ hallo โ -20 โ -1000.0 โ -100 โ hallo โ -10216252.52 โ
โโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโ
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
2025-10-12 09:39:35 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-12 09:39:36 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-12 09:39:36 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.23 s/job
2025-10-12 09:39:36 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, eval #1/1 start
2025-10-12 09:39:36 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, starting new job
2025-10-12 09:39:36 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, started new job
2025-10-12 09:39:45 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, new result: -8891652.97590025
2025-10-12 09:39:47 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, best RESULT: -8891652.97590025, finishing jobs, finished 1 job
2025-10-12 09:39:49 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, best RESULT: -8891652.97590025, getting new HP set (no sbatch)
2025-10-12 09:39:49 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, best RESULT: -8891652.97590025, requested 1 jobs, got 1, 1.55 s/job
2025-10-12 09:39:49 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, best RESULT: -8891652.97590025, eval #1/1 start
2025-10-12 09:39:49 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, best RESULT: -8891652.97590025, starting new job
2025-10-12 09:39:49 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, best RESULT: -8891652.97590025, started new job
2025-10-12 09:39:58 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, best RESULT: -8891652.97590025, new result: -10216252.52
2025-10-12 09:40:00 (3f648e02-3794-459c-acc0-6a26986f77c9): BOTORCH_MODULAR, best RESULT: -10216252.52, finishing jobs, finished 1 job
timestamp,ram_usage_mb,cpu_usage_percent
1760261975,798.50390625,20.9
1760261975,798.62890625,100.0