| """Pack the 14 per-member checkpoints + gate config into ONE file: final/bundle.pt. |
| Load it with: GatedEnsemble("final/bundle.pt"). Run: python final/bundle_ensemble.py |
| """ |
| import os, sys, glob, json |
| import torch |
| HERE = os.path.dirname(os.path.abspath(__file__)); CKPT = os.path.join(HERE, "checkpoints") |
| man = json.load(open(os.path.join(HERE, "ensemble.json"))) |
|
|
| bundle = {"tau": man["gate"]["tau"], "members": {}, |
| "meta": {"pipeline": man["pipeline"], "description": man["description"], |
| "results": man["results"], "feature_dims": man["feature_dims"]}} |
| n = 0 |
| for group in ("base_perch", "arm_harmonic", "arm_birdmae", "arm_bgwhiten"): |
| bundle["members"][group] = [] |
| for cp in sorted(glob.glob(os.path.join(CKPT, f"{group}_s*.pt"))): |
| st = torch.load(cp, map_location="cpu", weights_only=False) |
| bundle["members"][group].append({ |
| "state": st["model_state_dict"], "mean": st["mean"], "std": st["std"], |
| "standardize": st["standardize"], "arch": st["arch"], "feature_dim": st["feature_dim"], |
| "seed": st["seed"]}) |
| n += 1 |
| out = os.path.join(HERE, "bundle.pt") |
| torch.save(bundle, out) |
| mb = os.path.getsize(out) / 1e6 |
| print(f"bundled {n} member checkpoints + gate(tau={bundle['tau']}) -> {out} ({mb:.1f} MB)") |
| print("groups:", {g: len(v) for g, v in bundle["members"].items()}) |
|
|
