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To cancel, press CTRLc, then run 'scancel 2104029'
⠋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...
[WARNING 12-28 19:53:16] 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...⠋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...
Run-UUID: 55e3f40c-2be8-4ca3-bfc6-917a99bb122d
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⠋Writing worker creation log...
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=TRANSFORMS_no_transforms --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=1 --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
⠋Disabling logging...⠋Setting run folder...⠋Creating folder /home/h8/s3811141/test/randomtest_93382/OmniOpt/runs/TRANSFORMS_no_transforms/0...⠋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/TRANSFORMS_no_transforms/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=TRANSFORMS_no_transforms&run_nr=2 for live-results.You have 1 CPUs available for the main process.Using CUDA device NVIDIA H100.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│
└─────────────┴─────────────┘
⠋Write files and show overview
BOTORCH_MODULAR, 2 done, waiting for 1 job, finished 1 job : 100%|██████████| 2/2 [00:50<00:00, 25.19s/it]
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃trial_index┃int_param┃ float_param ┃int_param_two┃choice_param┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 0 │ -88 │-38.48763406276703│ -79 │ 4 │1.3874652987│2.2741018346│
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃Number of evaluations┃Min time ┃Max time ┃Average time┃Median time┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ 6.00 sec │ 7.00 sec │ 6.50 sec │ 6.50 sec │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃Iteration┃Seconds┃Jobs┃Time per job┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.127 │ 1 │ 0.127 │
│ 2 │ 0.757 │ 1 │ 0.757 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.442 │ │ │
│ Median │ 0.442 │ │ │
│ Total │ 0.884 │ │ │
│ Max │ 0.757 │ │ │
│ Min │ 0.127 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch┃Seconds┃Jobs┃Time per job┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 1.506 │ 1 │ 1.506 │
│ 2 │ 0.182 │ 1 │ 0.182 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.844 │ │ │
│ Median │ 0.844 │ │ │
│ Total │ 1.687 │ │ │
│ Max │ 1.506 │ │ │
│ Min │ 0.182 │ │ │
└─────────┴─────────┴──────┴──────────────┘
