| 'Plan or execute binary, source-classification and real-ratio training configurations.' | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| import subprocess | |
| import sys | |
| ROOT = Path(__file__).resolve().parents[2] | |
| SEEDS = [7, 13, 21, 42, 84] | |
| N_GRID = [900, 90, 45, 18] | |
| def build_jobs(kind, fixed_split, output, mapping, real_ratio=0.1): | |
| if kind == 'ratio': | |
| return [job for ratio in [0.01, 1.0] for job in build_jobs('ratio_binary', fixed_split, output / f'ratio_{ratio}', mapping, ratio)] | |
| jobs = [] | |
| for seed in SEEDS if kind == 'binary' else [42]: | |
| splits = output / 'splits' / f'seed{seed}' | |
| jobs.append([sys.executable, str(ROOT/'scripts/data/build_training_splits.py'), | |
| '--ai-train', str(fixed_split/'ai_train_pool.csv'), '--ai-val', str(fixed_split/'ai_validation.csv'), | |
| '--real-train', str(fixed_split/'real_train_pool.csv'), '--real-val', str(fixed_split/'real_validation.csv'), | |
| '--output-dir', str(splits), '--n-grid', ','.join(map(str,N_GRID)), | |
| '--real-ratio', str(real_ratio), '--seed', str(seed)]) | |
| tag = 'training_split' if kind != 'source' else 'source_split' | |
| split = splits/f'{tag}_n900_realratio_{str(real_ratio).replace(".", "p")}_seed{seed}.json' | |
| for model in ['univfd','cnndetect']: | |
| script=ROOT/f'train_{model}{"_multiclass" if kind=="source" else ""}.py' | |
| for n in ([18, 900] if kind == 'ratio_binary' else N_GRID): | |
| run=output/'runs'/f'{kind}_{model}' | |
| if seed!=42: run=run/f'seed{seed}' | |
| run=run/f'n{n}' | |
| jobs.append([sys.executable,str(script),'--split-file',str(split),'--mapping',str(mapping), | |
| '--sample-sizes',str(n),'--total-samples-per-model','9000','--train-ratio','1.0', | |
| '--real-ratio',str(real_ratio),'--batch-size','64','--lr','0.0001', | |
| '--num-validations','10','--seed',str(seed),'--output-dir',str(run)]) | |
| return jobs | |
| def main(): | |
| p=argparse.ArgumentParser(description=__doc__) | |
| p.add_argument('--kind',choices=['binary','source','ratio'],default='binary') | |
| p.add_argument('--split-dir',type=Path,required=True) | |
| p.add_argument('--mapping',type=Path,required=True) | |
| p.add_argument('--output-dir',type=Path,default=ROOT/'outputs') | |
| p.add_argument('--execute',action='store_true') | |
| a=p.parse_args() | |
| jobs=build_jobs(a.kind,a.split_dir.resolve(),a.output_dir.resolve(),a.mapping.resolve()) | |
| a.output_dir.mkdir(parents=True,exist_ok=True) | |
| (a.output_dir/f'{a.kind}_release_jobs.json').write_text(json.dumps({ | |
| 'protocol':'release-v1-resampled-final', | |
| 'checkpoint':'final','commands':jobs},indent=2),encoding='utf-8') | |
| if a.execute: | |
| for job in jobs: subprocess.run(job,cwd=ROOT,check=True) | |
| print(f'{len(jobs)} commands {"executed" if a.execute else "planned (not executed)"}') | |
| if __name__=='__main__':main() | |