Download code/case2/run_rom.py from harryzhang1018/TestRandomization: direct link, hf CLI and curl.
- Browser
- Download file 4.19 kB
-
https://huggingface.co/datasets/harryzhang1018/TestRandomization/resolve/main/code/case2/run_rom.py
- Command line
-
hf download hf://datasets/harryzhang1018/TestRandomization/code/case2/run_rom.py
-
curl -L -o run_rom.py https://huggingface.co/datasets/harryzhang1018/TestRandomization/resolve/main/code/case2/run_rom.py
4.19 kB
| """Evaluate a policy pool on a goal set under nominal ROM and TR variants (Sim2Sim, ROM side). | |
| Usage: python run_rom.py --set A --pool explore --variants all | |
| Writes results/rom_<set>/<variant>.npz (success, time_s, terminal/min distance [policy, goal, trial]; sampled | |
| parameters [goal, trial]) and results/rom_<set>/<variant>.json (manifest: spec, K, seeds, policies, hashes). | |
| Common random numbers: the same sampled parameters and noise stream for every policy. | |
| """ | |
| import argparse | |
| import json | |
| import time | |
| import zlib | |
| import numpy as np | |
| import torch | |
| import rom_batch | |
| import variants as V | |
| from common import RESULTS, Actor, make_goal_set, policy_registry, rel_path, sha256 | |
| POOLS = { | |
| 'explore': ['rel1', 'rel2', 'rel3', 'rel4'] + [f'{c}_s{s}' for c in ('nonoise', 'release', 'robust') for s in (1001, 1002, 1003, 1004)], | |
| 'confirm': [f'{c}_s{s}' for c in ('nonoise', 'release', 'robust') for s in (2001, 2002, 2003, 2004)], | |
| 'released': ['rel1', 'rel2', 'rel3', 'rel4'], | |
| } | |
| POOLS['confirm16'] = POOLS['confirm'] + POOLS['released'] # set B: primary = confirm (12 held-out), secondary = all 16 | |
| N_PER_RANGE = {'A': 50, 'B': 75} | |
| def seed_of(*parts): | |
| return zlib.crc32(':'.join(map(str, parts)).encode()) | |
| def run_variant(name, K, spec, goals, policies, reg, out_dir, set_name, device): | |
| G = len(goals) | |
| rng = np.random.default_rng(seed_of(set_name, name, 'params')) | |
| params = V.sample(spec, G * K, rng) | |
| noise_seed = seed_of(set_name, name, 'noise') | |
| gxy = np.repeat(np.array([[g['x'], g['y']] for g in goals]), K, axis=0) | |
| shape = (len(policies), G, K) | |
| res = {k: np.zeros(shape, dtype=np.float32) for k in ('time_s', 'terminal_distance_m', 'min_distance_m')} | |
| res['success'] = np.zeros(shape, dtype=bool) | |
| t0 = time.time() | |
| for i, p in enumerate(policies): | |
| actor = Actor(reg[p]['path']).to_device(device) | |
| o = rom_batch.simulate(actor, gxy, params, noise_seed=noise_seed, device=device) | |
| for k in res: | |
| res[k][i] = o[k].reshape(G, K) | |
| np.savez_compressed(out_dir / f'{name}.npz', policies=np.array(policies), goal_ids=np.array([g['goal_id'] for g in goals]), | |
| **res, **{f'param_{k}': v.reshape(G, K).astype(np.float32) for k, v in params.items()}) | |
| man = dict(variant=name, trials_per_goal=K, spec={k: list(v) for k, v in spec.items()}, goal_set=set_name, goals=G, | |
| param_seed=seed_of(set_name, name, 'params'), noise_seed=noise_seed, device=device, | |
| policies={p: dict(path=rel_path(reg[p]['path']), sha256=sha256(reg[p]['path'])) for p in policies}, | |
| wall_s=time.time() - t0) | |
| (out_dir / f'{name}.json').write_text(json.dumps(man, indent=1) + '\n') | |
| return res | |
| def main(): | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument('--set', choices=['A', 'B'], required=True) | |
| ap.add_argument('--pool', choices=list(POOLS), required=True) | |
| ap.add_argument('--variants', default='all', help='comma list or all (EXPLORE table, or the fixed design with --table fixed)') | |
| ap.add_argument('--device', default='cpu') | |
| ap.add_argument('--tag', default='') | |
| ap.add_argument('--table', choices=['explore', 'fixed'], default='explore') | |
| a = ap.parse_args() | |
| torch.set_num_threads(2) | |
| if a.set == 'B' and a.table != 'fixed': | |
| raise SystemExit('goal set B is the held-out set: use --table fixed') | |
| if a.table == 'fixed': | |
| import fixed_design | |
| table = fixed_design.CONDITIONS | |
| else: | |
| table = V.EXPLORE | |
| names = list(table) if a.variants == 'all' else a.variants.split(',') | |
| goals = make_goal_set(a.set, N_PER_RANGE[a.set]) | |
| reg = policy_registry() | |
| policies = POOLS[a.pool] | |
| out_dir = RESULTS / f'rom_{a.set}_{a.pool}{a.tag}' | |
| out_dir.mkdir(parents=True, exist_ok=True) | |
| (out_dir / 'goals.json').write_text(json.dumps(goals, indent=1) + '\n') | |
| for n in names: | |
| K, spec = table[n] | |
| r = run_variant(n, K, spec, goals, policies, reg, out_dir, a.set, a.device) | |
| sr = r['success'].mean((1, 2)) | |
| print(f'{n:18s} K={K:2d} success ' + ' '.join(f'{p}:{s:.2f}' for p, s in zip(policies, sr)), flush=True) | |
| if __name__ == '__main__': | |
| main() | |