OmniOpt2

Experiment overview

Setting	Value
Max. nr. evaluations	4
Number random steps	2
Number random steps (from arguments)	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	4
Nr. imported jobs	2

Best RESULT1, min (total: 2 + inserted jobs: 2)

OO_Info_int_param	OO_Info_int_para…	OO_Info_float_pa…	OO_Info_choice_p…	OO_Info_SLURM_JO…	RESULT2	int_param	float_param	int_param_two	choice_param	RESULT1
nan	nan	nan	nan	nan	2.2287166844	6	-84.72947735892068	-2	1	1.06911526119999…

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	3	3

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

Number of evaluations

Failed	Succeeded	Running	Total
0	4	0	4

Result names and types

name	min/max
RESULT1	min
RESULT2	min

Last progressbar status

2025-12-29 13:55:59 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, 4 done, waiting for 2 jobs, finished 2 jobs

Git-Version

Commit: 815910076e3b15c9f886789a2fc0797945e4f03f (9210)

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,1.909593409900000038348366615537,2.97975735400000019126309780404,-95,-8.1915247440338134765625,-78,4
1,,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.069115261199999888930278757471,2.228716684400000147547871165443,6,-84.729477358920675555964407976717,-2,1
2,1767012934,12,600c3f12-ca9c-410c-9c8f-bd0fcc109b00,1767012946,1767012953,7,./.tests/optimization_example --int_param='10' --float_param='-100' --choice_param='1'  --int_param_two='-66' --nr_results=2,0,,c153,10,-66,-100,1,2119672,2_0,COMPLETED,BOTORCH_MODULAR,1.334560395059269932716006223927,2.853153652601999823446021764539,10,-100,-66,1
3,1767012935,12,600c3f12-ca9c-410c-9c8f-bd0fcc109b00,1767012947,1767012953,6,./.tests/optimization_example --int_param='10' --float_param='-20.53970517076081847563' --choice_param='1'  --int_param_two='10' --nr_results=2,0,,c152,10,10,-20.539705170760814922914505586959,1,2119673,3_0,COMPLETED,BOTORCH_MODULAR,1.312052817623230005494860961335,2.398846500410829918337185517885,10,-20.53970517076081847562818438746,10,1


========================================================================

To cancel, press CTRL c, then run 'scancel 2119670'
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
⠋ Importing dataclass...
⠋ Importing socket...
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⠋ Importing toml...
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⠋ 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...
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⠋ Importing shutil...
⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
⠋ Importing beartype...
[WARNING 12-29 13:55:21] 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...
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⠋ Importing pandas...
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⠋ Importing botorch...
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⠋ Importing ax logger...
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Using old run's --time: 60
Using old run's --gpus: 1
Using old run's --max_eval: 2
Run-UUID: 0b2a4454-5295-4cac-9b2f-b65a7ffe6546
  _____________________________________
| OmniOpt2 - Maximizing the model mojo! |
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⠋ 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=7 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 2 jobs, finished 2 jobs                           : 100%|██████████| 4/4 [00:29<00:00,  7.27s/it]


                                         Pareto-Front for RESULT1/RESULT2:                                         
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃    float_param     ┃ int_param_two ┃ choice_param ┃      RESULT1       ┃   RESULT2    ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│      1      │     6     │ -84.72947735892068 │      -2       │      1       │ 1.0691152611999999 │ 2.2287166844 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴────────────────────┴──────────────┘
                                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   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

2025-12-29 13:55:30 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-29 13:55:32 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, getting new HP set     
2025-12-29 13:55:32 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.72 s/job
2025-12-29 13:55:32 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, eval #1/1 start                    
2025-12-29 13:55:34 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, starting new job                   
2025-12-29 13:55:34 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, unknown 1∑1 (5%/20), started new job
2025-12-29 13:55:35 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, unknown 1∑1 (5%/20), getting new HP set
2025-12-29 13:55:35 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, unknown 1∑1 (5%/20), requested 1 jobs, got 1, 0.63 s/job
2025-12-29 13:55:35 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, unknown 1∑1 (5%/20), eval #1/1 start                    
2025-12-29 13:55:35 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, unknown 1∑1 (5%/20), starting new job                   
2025-12-29 13:55:35 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, unknown 2∑2 (5%/20), started new job                    
2025-12-29 13:55:36 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, unknown 2∑2 (5%/20), waiting for 2 jobs                 
2025-12-29 13:55:37 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, pending 2∑2 (5%/20), waiting for 2 jobs                 
2025-12-29 13:55:39 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, pending 2∑2 (10%/20), waiting for 2 jobs                
2025-12-29 13:55:45 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, running 2∑2 (10%/20), waiting for 2 jobs                
2025-12-29 13:55:53 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, running 2∑2 (10%/20), new result: RESULT1: 1.334560, RESULT2: 2.853154
2025-12-29 13:55:53 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, running 2∑2 (10%/20), new result: RESULT1: 1.312053, RESULT2: 2.398847
2025-12-29 13:55:59 (600c3f12-ca9c-410c-9c8f-bd0fcc109b00): BOTORCH_MODULAR, 4 done, waiting for 2 jobs, finished 2 jobs

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   1.470 │    1 │        1.470 │
│       2 │   0.230 │    1 │        0.230 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.850 │      │              │
│  Median │   0.850 │      │              │
│   Total │   1.700 │      │              │
│     Max │   1.470 │      │              │
│     Min │   0.230 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   1.719 │    1 │        1.719 │
│         2 │   0.625 │    1 │        0.625 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   1.172 │      │              │
│    Median │   1.172 │      │              │
│     Total │   2.344 │      │              │
│       Max │   1.719 │      │              │
│       Min │   0.625 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	None
run_program	None
experiment_name	None
mem_gb	4
parameter	None
continue_previous_job	runs/multi_results_2_results_BOTORCH_MODULAR/0
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	None
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	False
send_anonymized_usage_stats	False
ui_url	None
root_venv_dir	/home/s3811141
exclude	None
main_process_gb	8
max_nr_of_zero_results	10
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	False
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	None
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	20
worker_timeout	30
slurm_use_srun	False
time
partition
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
memray	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
beartype	False

1767012926.6887,20,0,0
1767012934.1216,20,0,0
1767012934.3029,20,1,5
1767012938.9,20,1,5
1767012939.4327,20,2,10
1767012953.393,20,2,10
1767012955.9791,20,0,0
1767012966.0579,20,0,0

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

timestamp,ram_usage_mb,cpu_usage_percent
1767012926,823.19921875,15.7

`RESULT1` (goal: minimize)

Best value: 1.0691152612
Achieved at:
- RESULT2 = 2.2287166844
- int_param = 6
- float_param = -84.729477358921
- int_param_two = -2
- choice_param = 1

`RESULT2` (goal: minimize)

Best value: 2.2287166844
Achieved at:
- RESULT1 = 1.0691152612
- int_param = 6
- float_param = -84.729477358921
- int_param_two = -2
- choice_param = 1

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	7	6.5	0.5	2
OO_Info_int_param	10	10	10	0	2
OO_Info_int_param_two	-66	10	-28	38	2
OO_Info_float_param	-100	-20.5397	-60.2699	39.7301	2
OO_Info_choice_param	1	1	1	0	2
RESULT1	1.0691	1.9096	1.4063	0.3086	4
RESULT2	2.2287	2.9798	2.6151	0.3105	4
int_param	-95	10	-17.25	44.9187	4
float_param	-100	-8.1915	-53.3652	39.6128	4
int_param_two	-78	10	-34	38.4708	4
choice_param	1	4	1.75	1.299	4

submitit INFO (2025-12-29 13:55:43,781) - Starting with JobEnvironment(job_id=2119672, hostname=c153, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-12-29 13:55:43,781) - Loading pickle: /home/h8/s3811141/test/randomtest_93382/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1/single_runs/2119672/2119672_submitted.pkl
Trial-Index: 2

Parameters: {"int_param": 10, "float_param": -100.0, "int_param_two": -66, "choice_param": 1}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example --int_param='10' --float_param='-100' --choice_param='1'  --int_param_two='-66' --nr_results=2 
pwd: /home/h8/s3811141/test/randomtest_93382/OmniOpt
File: ./.tests/optimization_example
UID: 2105408
GID: 200270
SLURM_JOB_ID: 2119672
Status-Change-Time: 1751868744.0086284
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: s3811141
Last access: 1767012740.4050136
Last modification: 1751868744.0086284
Hostname: c153
========
DEBUG INFOS END

./.tests/optimization_example --int_param='10' --float_param='-100' --choice_param='1'  --int_param_two='-66' --nr_results=2 
stdout:
 OO-Info: int_param: 10
OO-Info: int_param_two: -66
OO-Info: float_param: -100
OO-Info: choice_param: 1
RESULT1: 1.33456039505927
RESULT2: 2.853153652602

stderr was empty
Result: {'RESULT1': 1.33456039505927, 'RESULT2': 2.853153652602}
Final-results: {'RESULT1': 1.33456039505927, 'RESULT2': 2.853153652602}
EXIT_CODE: 0
submitit INFO (2025-12-29 13:55:53,096) - Job completed successfully
submitit INFO (2025-12-29 13:55:53,098) - Exiting after successful completion