========================================================================
Current git-hash: 2c09badf8ff71f8f9eee5a24e4a2328f476e658c (version: 9344)
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-31 07:49:51] ax.storage.sqa_store.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]`.
Using old run's --time: 60Using old run's --gpus: 0Using old run's --max_eval: 2
Run-UUID: df56b05e-8dd2-4f6c-bb48-e881794bbc2a
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
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omniopt --continue runs/multi_results_2_results_BOTORCH_MODULAR/0 --live_share
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1
Continuation from runs/multi_results_2_results_BOTORCH_MODULAR/0
You have less --max_eval 2 than --num_random_steps 20. Switched both.See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=27 for live-results.You have 4 CPUs available for the main process.No CUDA devices found.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│
└─────────────┴─────────────┘
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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 0 │ -79 │-58.766394555568695│ -53 │ 4 │1.2830082232│2.7266117112│
├─────────────┼───────────┼─────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 2 │ -100 │ -100 │ 9 │ 4 │1.5902639747│2.5682142704│
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭────────────────────────────────────────────────────────────────────────────────────────OmniOpt2 Run Summary────────────────────────────────────────────────────────────────────────────────────────╮│││ ✅ Optimization complete!││││ 📊 Trials: 2 succeeded / 0 failed / 4 done / 4 submitted ││ ⏱️ Duration: 43s ││ 🏆 Best RESULT1: 1.2830082232 ││ 🏆 Best RESULT2: 2.5682142704 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1/results.csv││ 🧠 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-31 07:49:56 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-31 07:49:57 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-31 07:49:57 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.25 s/job
2026-05-31 07:49:57 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, eval #1/1 start
2026-05-31 07:49:57 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, starting new job
2026-05-31 07:49:57 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, started new job
2026-05-31 07:50:06 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, new result: RESULT1: 1.590264, RESULT2: 2.568214
2026-05-31 07:50:10 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, 3 done, █▁▂, finishing jobs, finished 1 job
2026-05-31 07:50:11 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, 3 done, █▁▂, getting new HP set (no sbatch)
2026-05-31 07:50:11 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, 3 done, █▁▂, requested 1 jobs, got 1, 1.16 s/job
2026-05-31 07:50:11 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, 3 done, █▁▂, eval #1/1 start
2026-05-31 07:50:11 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, 3 done, █▁▂, starting new job
2026-05-31 07:50:11 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, 3 done, █▁▂, started new job
2026-05-31 07:50:20 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, 3 done, █▁▂, new result: RESULT1: 1.501796, RESULT2: 2.984080
2026-05-31 07:50:23 (3a910173-4361-431d-ad2e-25534f5f16c3): BOTORCH_MODULAR, 4 done, █▁▂▃, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.256 │ 1 │ 0.256 │
│ 2 │ 0.110 │ 1 │ 0.110 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.183 │ │ │
│ Median │ 0.183 │ │ │
│ Total │ 0.366 │ │ │
│ Max │ 0.256 │ │ │
│ Min │ 0.110 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 1.252 │ 1 │ 1.252 │
│ 2 │ 1.160 │ 1 │ 1.160 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 1.206 │ │ │
│ Median │ 1.206 │ │ │
│ Total │ 2.412 │ │ │
│ Max │ 1.252 │ │ │
│ Min │ 1.160 │ │ │
└───────────┴─────────┴──────┴──────────────┘
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
1
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/runner
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
nr_evals_per_arm
1
disable_notifications
False
dump_config
None
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
0
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
This logs the CPU and RAM usage of the main worker process.