OmniOpt2

Experiment overview

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	5
Number random steps	2
Nr. of workers (parameter)	5

Best RESULT, min (total: 5)

x	y	RESULT
123	5431.0	1235431.0

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	2	2
BOTORCH_MODULAR	3	3

Experiment parameters

Name	Type	Lower bound	Upper bound	Type	Log Scale?
x	range	123	1000	int	No
y	range	1234	5431	float	No

Number of evaluations

Failed	Succeeded	Running	Total
0	5	0	5

Result names and types

name	min/max
RESULT	min

Last progressbar status

2025-09-02 06:49:18 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1235431, finishing jobs, finished 1 job

Git-Version

Commit: 1cd150d9f418432ff34ab9c0fe13a8ebff5f40fa

trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,arm_name,trial_status,generation_node,RESULT,x,y
0,1756788435,2,4fb69103-8cdb-4289-86f8-9b45fe559b39,1756788437,1756788443,6,echo "RESULT: 1582549.91642180085182189941",0,,workstation,0_0,COMPLETED,SOBOL,1582549.9164218008518218994140625,158,2549.9164218008518218994140625
1,1756788467,2,4fb69103-8cdb-4289-86f8-9b45fe559b39,1756788469,1756788475,6,echo "RESULT: 9394351.68255295418202877045",0,,workstation,1_0,COMPLETED,SOBOL,9394351.68255295418202877044677734375,939,4351.68255295418202877044677734375
2,1756788495,2,4fb69103-8cdb-4289-86f8-9b45fe559b39,1756788497,1756788503,6,echo "RESULT: 1261237.78712090894259745255",0,,workstation,2_0,COMPLETED,BOTORCH_MODULAR,1261237.787120908964425325393676757812,126,1237.787120908942597452551126480103
3,1756788517,2,4fb69103-8cdb-4289-86f8-9b45fe559b39,1756788519,1756788525,6,echo "RESULT: 3491234",0,,workstation,3_0,COMPLETED,BOTORCH_MODULAR,3491234,349,1234
4,1756788541,2,4fb69103-8cdb-4289-86f8-9b45fe559b39,1756788543,1756788543,0,echo "RESULT: 1235431",0,,workstation,4_0,COMPLETED,BOTORCH_MODULAR,1235431,123,5431

Current git-hash: 1cd150d9f418432ff34ab9c0fe13a8ebff5f40fa
⠋ 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 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...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠋ Importing helpers...
⠋ Parsing arguments...
⠙ Importing torch...
⠋ Importing numpy...
[WARNING 09-02 06:46:56] 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...
⠋ 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: 47184d65-d4af-4644-9a74-06fe1673226c
  _________________________________________________
 /                                                 \
| OmniOpt2 - Like a neural synapse becoming self-aw |
| are.                                              |
 \                                                 /
  =================================================
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                                                         ` *_ *  )    `-.   (      ) .`-.__. `)
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                                                       _.. `--'_..-_/   /--' _ .' ,4
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⠋ Writing worker creation log...
./omniopt --partition=alpha --experiment_name=small_test_experiment --mem_gb=1 --time=60 --worker_timeout=60 --max_eval=5 --num_parallel_jobs=5 --gpus=1 --num_random_steps=2 --follow --live_share --send_anonymized_usage_stats --result_names 'RESULT=min' --run_program='ZWNobyAiUkVTVUxUOiAlKHgpJSh5KSI=' --cpus_per_task=1 --nodes_per_job=1 --revert_to_random_when_seemingly_exhausted --model=BOTORCH_MODULAR --n_estimators_randomforest=100 --run_mode=local --occ_type=euclid --main_process_gb=8 --max_nr_of_zero_results=50 --slurm_signal_delay_s=0 --max_failed_jobs=0 --max_attempts_for_generation=20 --num_restarts=20 --raw_samples=1024 --max_abandoned_retrial=20 --max_num_of_parallel_sruns=16 --number_of_generators=1 --generate_all_jobs_at_once --parameter x range 123 1000 int false --parameter y range 5431 1234 float false
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /home/norman/test/randomtest_26453/omniopt/runs/small_test_experiment/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/norman/test/randomtest_26453/omniopt/runs/small_test_experiment/0
Lower bound (5431.0) was larger than upper bound (1234.0) for parameter 'y'. Switched them.
⠋ 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...
⠋ Setting global generation strategy
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=norman&experiment_name=small_test_experiment&run_nr=6 for live-results.
⠦ Initializing live share...
⠦ Initializing live share...
You have 20 CPUs available for the main process. Using CUDA device NVIDIA GeForce RTX 4060 Ti.
Generation strategy: SOBOL for 2 steps and then BOTORCH_MODULAR for 3 steps.
Run-Program: echo "RESULT: %(x)%(y)"
                      Experiment parameters                      
┏━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type  ┃ Lower bound ┃ Upper bound ┃ Type  ┃ Log Scale? ┃
┡━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ x    │ range │ 123         │ 1000        │ int   │ No         │
│ y    │ range │ 1234        │ 5431        │ float │ No         │
└──────┴───────┴─────────────┴─────────────┴───────┴────────────┘
        Result-Names         
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
⠋ Write files and show overview
SOBOL, best RESULT: 1235431, finishing jobs, finished 1 job                : 100%|██████████| 5/5 [02:02<00:00, 24.53s/it]
Best RESULT, min (total: 5) 
┏━━━━━┳━━━━━━━━┳━━━━━━━━━━━┓
┃ x   ┃ y      ┃ RESULT    ┃
┡━━━━━╇━━━━━━━━╇━━━━━━━━━━━┩
│ 123 │ 5431.0 │ 1235431.0 │
└─────┴────────┴───────────┘
                                Runtime Infos                                 
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time  ┃ Max time  ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│           5           │ 0.00 sec  │ 6.00 sec  │   4.80 sec   │  6.00 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

2025-09-02 06:47:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, Started OmniOpt2 run...
2025-09-02 06:47:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, getting new HP set (no sbatch)
2025-09-02 06:47:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2025-09-02 06:47:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, eval #1/1 start                    
2025-09-02 06:47:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, starting new job                   
2025-09-02 06:47:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, started new job                    
2025-09-02 06:47:24 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, new result: 1582549.9164218009     
2025-09-02 06:47:47 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, finishing jobs, finished 1 job
2025-09-02 06:47:47 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, getting new HP set (no sbatch)
2025-09-02 06:47:47 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, requested 1 jobs, got 1, 0.04 s/job
2025-09-02 06:47:47 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, eval #1/1 start                    
2025-09-02 06:47:47 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, starting new job                   
2025-09-02 06:47:47 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, started new job                    
2025-09-02 06:47:56 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, new result: 9394351.682552954      
2025-09-02 06:48:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, finishing jobs, finished 1 job     
2025-09-02 06:48:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, getting new HP set (no sbatch)     
2025-09-02 06:48:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, requested 1 jobs, got 1, 0.58 s/job
2025-09-02 06:48:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, eval #1/1 start                    
2025-09-02 06:48:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, starting new job                   
2025-09-02 06:48:15 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, started new job                    
2025-09-02 06:48:24 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1582549.9164218009, new result: 1261237.787120909      
2025-09-02 06:48:36 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, finishing jobs, finished 1 job      
2025-09-02 06:48:37 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, getting new HP set (no sbatch)      
2025-09-02 06:48:37 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, requested 1 jobs, got 1, 0.64 s/job 
2025-09-02 06:48:37 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, eval #1/1 start                     
2025-09-02 06:48:37 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, starting new job                    
2025-09-02 06:48:37 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, started new job                     
2025-09-02 06:48:46 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, new result: 3491234.0               
2025-09-02 06:49:00 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, finishing jobs, finished 1 job      
2025-09-02 06:49:01 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, getting new HP set (no sbatch)      
2025-09-02 06:49:01 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, requested 1 jobs, got 1, 0.67 s/job 
2025-09-02 06:49:01 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, eval #1/1 start                     
2025-09-02 06:49:01 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, starting new job                    
2025-09-02 06:49:01 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, started new job                     
2025-09-02 06:49:04 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1261237.787120909, new result: 1235431.0               
2025-09-02 06:49:18 (4fb69103-8cdb-4289-86f8-9b45fe559b39): SOBOL, best RESULT: 1235431, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.075 │    1 │        0.075 │
│       2 │   0.055 │    1 │        0.055 │
│       3 │   0.059 │    1 │        0.059 │
│       4 │   0.057 │    1 │        0.057 │
│       5 │   0.046 │    1 │        0.046 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.059 │      │              │
│  Median │   0.057 │      │              │
│   Total │   0.293 │      │              │
│     Max │   0.075 │      │              │
│     Min │   0.046 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.017 │    1 │        0.017 │
│         2 │   0.035 │    1 │        0.035 │
│         3 │   0.582 │    1 │        0.582 │
│         4 │   0.642 │    1 │        0.642 │
│         5 │   0.669 │    1 │        0.669 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.389 │      │              │
│    Median │   0.582 │      │              │
│     Total │   1.945 │      │              │
│       Max │   0.669 │      │              │
│       Min │   0.017 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	2
max_eval	5
run_program	[["'ZWNobyAiUkVTVUxUOiAlKHgpJSh5KSI='"]]
experiment_name	small_test_experiment
mem_gb	1
parameter	[['x', 'range', '123', '1000', 'int', 'false'], ['y', 'range', '5431', '1234', 'float', 'false']]
continue_previous_job	None
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	BOTORCH_MODULAR
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	True
send_anonymized_usage_stats	True
ui_url	None
root_venv_dir	/home/norman
exclude	None
main_process_gb	8
max_nr_of_zero_results	50
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	True
disable_tqdm	False
disable_previous_job_constraint	False
workdir
occ_type	euclid
result_names	["'RESULT=min'"]
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	True
revert_to_random_when_seemingly_exhausted	True
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
max_attempts_for_generation	20
external_generator	None
username	None
max_failed_jobs	0
num_cpus_main_job	None
calculate_pareto_front_of_job	[]
show_generate_time_table	False
force_choice_for_ranges	False
max_abandoned_retrial	20
share_password	None
dryrun	False
db_url	None
run_program_once	None
worker_generator_path	None
save_to_database	False
range_max_difference	1000000
skip_search	False
dont_warm_start_refitting	False
refit_on_cv	False
fit_out_of_design	False
fit_abandoned	False
dont_jit_compile	False
num_restarts	20
raw_samples	1024
max_num_of_parallel_sruns	16
no_transform_inputs	False
no_normalize_y	False
transforms	[]
number_of_generators	1
num_parallel_jobs	5
worker_timeout	60
slurm_use_srun	False
time	60
partition	alpha
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	1
dependency	None
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	False
flame_graph	False
no_sleep	False
tests	False
show_worker_percentage_table_at_end	False
auto_exclude_defective_hosts	False
run_tests_that_fail_on_taurus	False
raise_in_eval	False
show_ram_every_n_seconds	0
show_generation_and_submission_sixel	False
just_return_defaults	False
prettyprint	False
runtime_debug	False
debug_stack_regex
debug_stack_trace_regex	None
show_func_name	False

This logs the CPU and RAM usage of the main worker process.

timestamp,ram_usage_mb,cpu_usage_percent
1756788435,799.26953125,19.3

`RESULT` (goal: minimize)

Best value: 1235431
Achieved at:
- run_time = 0
- x = 123
- y = 5431

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	0	6	4.8	2.4	5
RESULT	1235431	9394351.6826	3392960.8772	3114582.3333	5
x	123	939	339	311.4116	5
y	1234	5431	2960.8772	1682.6098	5

/home/norman/.omniax_venvs/Python_3.13.5/x86_64/lib/python3.13/site-packages/submitit/core/plugins.py:24: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
  import pkg_resources
submitit INFO (2025-09-02 06:47:16,167) - Starting with JobEnvironment(job_id=708515, hostname=workstation, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-09-02 06:47:16,167) - Loading pickle: /home/norman/test/randomtest_26453/omniopt/runs/small_test_experiment/0/single_runs/708515/708515_submitted.pkl

Parameters: {"x": 158, "y": 2549.916421800852}
Debug-Infos: 
echo "RESULT: 1582549.91642180085182189941"
stdout:
 RESULT: 1582549.91642180085182189941

stderr was empty
Result: {'RESULT': 1582549.9164218009}
Final-results: {'RESULT': 1582549.9164218009}
EXIT_CODE: 0
submitit INFO (2025-09-02 06:47:23,712) - Job completed successfully
submitit INFO (2025-09-02 06:47:23,713) - Exiting after successful completion