| """ |
| Pre-generate sample data cache for rate_aware_gen.py debugging. |
| |
| Generates and saves cache files for 2-user and 3-user configurations, |
| so subsequent runs of rate_aware_gen.py can load instantly instead of |
| regenerating data each time. |
| |
| Usage: |
| python pregen_cache.py # default: small scale, 15000 samples |
| python pregen_cache.py --n-samples 2000 # smaller debug set |
| python pregen_cache.py --scale small --n-samples 15000 |
| """ |
|
|
| import argparse |
| import os |
| import time |
|
|
| from rate_aware_gen import make_config, generate_data |
| from updated_SIM_0413_multi_user import MultiUserDownlinkOptimizer |
|
|
|
|
| def pregen(scale, n_users, n_samples): |
| cache_path = f"{scale}_{n_users}u_{n_samples}_cache.pt" |
| print(f"\n{'='*60}") |
| print(f"Pre-generating: scale={scale}, n_users={n_users}, " |
| f"n_samples={n_samples}") |
| print(f"Cache path: {cache_path}") |
| print(f"{'='*60}") |
|
|
| if os.path.exists(cache_path): |
| print(f" Cache already exists at {cache_path} — skipping.") |
| print(f" (Delete the file if you want to regenerate.)") |
| return |
|
|
| cfg = make_config(scale, n_users) |
| optimizer = MultiUserDownlinkOptimizer(cfg, layout="LNLN") |
|
|
| t0 = time.time() |
| geos, configs, rates = generate_data(cfg, optimizer, n_samples, cache_path, |
| require_cache=False) |
| dt = time.time() - t0 |
|
|
| print(f"\n Done in {dt:.1f}s") |
| print(f" geos: {tuple(geos.shape)}") |
| print(f" configs: {tuple(configs.shape)}") |
| print(f" rates: {tuple(rates.shape)}, mean={rates.mean():.3f}") |
| print(f" File size: {os.path.getsize(cache_path)/1e6:.1f} MB") |
|
|
|
|
| if __name__ == "__main__": |
| pa = argparse.ArgumentParser(description="Pre-generate cache for rate_aware_gen") |
| pa.add_argument("--scale", default="small", choices=["small", "large"]) |
| pa.add_argument("--n-samples", type=int, default=15000) |
| pa.add_argument("--users", type=int, nargs="+", default=[2, 3], |
| help="Which n_users to generate (default: 2 3)") |
| args = pa.parse_args() |
|
|
| for n_u in args.users: |
| pregen(args.scale, n_u, args.n_samples) |
|
|
| print(f"\n{'='*60}") |
| print("All caches ready. Subsequent rate_aware_gen.py runs will") |
| print("load instantly instead of regenerating data.") |
| print(f"{'='*60}") |
|
|
