| Setting | Value |
|---|---|
| Model for non-random steps | BOTORCH_MODULAR |
| Max. nr. evaluations | 500 |
| Number random steps | 500 |
| Nr. of workers (parameter) | 20 |
| Name | Type | Lower bound | Upper bound | Type | Log Scale? |
|---|---|---|---|---|---|
| minone | range | -10000 | 10000 | float | No |
| mintwo | range | -10000 | 10000 | float | No |
| maxone | range | -10000 | 10000 | float | No |
| maxtwo | range | -10000 | 10000 | float | No |
| name | min/max |
|---|---|
| RESULT | min |
Current git-hash: 3ef710a65c0ad76103be7e2c9747a135c130e94d (version: 8929) ⠋ 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... ⠋ Importing statistics... ⠋ Trying to import pyfiglet... ⠙ Importing helpers... ⠋ Importing pareto... ⠋ Parsing arguments... ⠸ Importing torch... ⠋ Importing numpy... [WARNING 10-27 14:30:52] 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: a8ee1eea-4426-4e65-8bb2-383690605182 _________________________________________________ / \ | OmniOpt2 - Inception-level optimization: going de | | eper with every layer. | \ / ================================================= \ \ \ \ __---__ _- /--______ __--( / \ )XXXXXXXXXXX\v. .-XXX( O O )XXXXXXXXXXXXXXX- /XXX( U ) XXXXXXX\ /XXXXX( )--_ XXXXXXXXXXX\ /XXXXX/ ( O ) XXXXXX \XXXXX\ XXXXX/ / XXXXXX \__ \XXXXX XXXXXX__/ XXXXXX \__----> ---___ XXX__/ XXXXXX \__ / \- --__/ ___/\ XXXXXX / ___--/= \-\ ___/ XXXXXX '--- XXXXXX \-\/XXX\ XXXXXX /XXXXX \XXXXXXXXX \ /XXXXX/ \XXXXXX > _/XXXXX/ \XXXXX--__/ __-- XXXX/ -XXXXXXXX--------------- XXXXXX- \XXXXXXXXXXXXXXXXXXXXXXXXXX/ ""VXXXXXXXXXXXXXXXXXXV"" ⠋ Writing worker creation log... ./omniopt --partition=alpha --experiment_name=enantiadromia --mem_gb=10 --time=60 --worker_timeout=60 --max_eval=500 --num_parallel_jobs=20 --gpus=0 --num_random_steps=500 --follow --live_share --send_anonymized_usage_stats --result_names RESULT=min --run_program=cGVybCAtZSAndXNlIGZlYXR1cmUgInNheSI7IHNheSAiTUlOT05FOiAlbWlub25lIjsgc2F5ICJNSU5UV086ICVtaW50d28iOyBzYXkgIk1BWE9ORTogJW1heG9uZSI7IHNheSAiTUFYVFdPOiAlbWF4dHdvIicK --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 minone range -10000 10000 float false --parameter mintwo range -10000 10000 float false --parameter maxone range -10000 10000 float false --parameter maxtwo range -10000 10000 float false ⠋ Disabling logging... ⠋ Setting run folder... ⠋ Creating folder /home/norman/repos/OmniOpt/runs/enantiadromia/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/norman/repos/OmniOpt/runs/enantiadromia/1 ⠋ 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=norman&experiment_name=enantiadromia&run_nr=1 for live-results. You have 4 CPUs available for the main process. No CUDA devices found. Generation strategy: SOBOL for 500 steps. Run-Program: perl -e 'use feature "say"; say "MINONE: %minone"; say "MINTWO: %mintwo"; say "MAXONE: %maxone"; say "MAXTWO: %maxtwo"' Experiment parameters ┏━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓ ┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Type ┃ Log Scale? ┃ ┡━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩ │ minone │ range │ -10000 │ 10000 │ float │ No │ │ mintwo │ range │ -10000 │ 10000 │ float │ No │ │ maxone │ range │ -10000 │ 10000 │ float │ No │ │ maxtwo │ range │ -10000 │ 10000 │ float │ No │ └────────┴───────┴─────────────┴─────────────┴───────┴────────────┘ Result-Names ┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ Result-Name ┃ Min or max? ┃ ┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ RESULT │ min │ └─────────────┴─────────────┘ ⠋ Write files and show overview
| Key | Value |
|---|---|
| config_yaml | None |
| config_toml | None |
| config_json | None |
| num_random_steps | 500 |
| max_eval | 500 |
| run_program | [['cGVybCAtZSAndXNlIGZlYXR1cmUgInNheSI7IHNheSAiTUlOT05FOiAlbWlub25lIjsgc2F5ICJNSU5UV086ICVtaW50d28iOyBzYXkgIk1BWE9ORTogJW1heG9uZSI7IHNheSAiTUFYVFdPOiAl… |
| experiment_name | enantiadromia |
| mem_gb | 10 |
| parameter | [['minone', 'range', '-10000', '10000', 'float', 'false'], ['mintwo', 'range', '-10000', '10000', 'float', 'false'], ['maxone', 'range', '-10000', |
| '10000', 'float', 'false'], ['maxtwo', 'range', '-10000', '10000', '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 | 20 |
| 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 | 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 |
timestamp,ram_usage_mb,cpu_usage_percent 1761571852,787.8046875,46.4
