| |
| """干净对照: 三种算法在**模块本体**上的分化性与累积性。 |
| |
| 前一轮我犯了个方法错误: 用**脚本内副本**测 Autostep, 那次默认是 per_component |
| 作用域; 而模块默认已改成 global。两处结论不能混用。这里统一走模块。 |
| |
| 判据: |
| 分化性 alpha max/min (训练结束时) |
| 累积性 ratio 是否随 n 单调增长 (只看 n=36 -> 1000 的变化倍数) |
| 安全性 是否有分量掉到地板 / 顶到天花板 / 训练误差发散 |
| """ |
| import sys |
|
|
| import numpy as np |
|
|
| sys.path.insert(0, "/Users/apple/Downloads/headless") |
| from hibs_lnn.rl_proposer import RLProposer |
|
|
| desc = np.random.RandomState(0).randn(60, 3) |
|
|
|
|
| def measure(algo, mu, n, alpha0=0.2, scope="global"): |
| p = RLProposer(desc, tau=0.5, k=3, mu=mu, alpha0=alpha0, algo=algo, |
| seed=1, auto_scope=scope) |
| for t in range(n): |
| idx = p.act() |
| r = 0.5 + 0.3 * np.tanh(desc[idx, 0].mean()) |
| for i in idx: |
| p.acc[i] = r |
| p.any_time = r |
| p.update(idx, r=(r - p.global_acc if t else r)) |
| p.global_acc = r |
| a = p.alpha |
| return (a.max() / max(1e-12, a.min()), int((a <= 1e-5).sum()), |
| int((a >= 9.99).sum())) |
|
|
|
|
| CASES = [ |
| ("autostep", 0.05, "global"), |
| ("autostep", 1.0, "global"), |
| ("autostep", 0.05, "per_component"), |
| ("idbd", 0.05, "-"), |
| ("idbd-acc", 0.05, "-"), |
| ("idbd-acc", 0.2, "-"), |
| ] |
| NS = (36, 100, 300, 1000) |
|
|
| print("=" * 104) |
| print("三种步长算法在我们任务上的分化性 / 累积性 / 安全性 (模块本体, 60候选, fdim 9)") |
| print("=" * 104) |
| print(" %-11s %-6s %-15s %s" % ("algo", "mu", "scope", "".join("%17d" % n for n in NS))) |
| print(" " + "-" * 98) |
| for algo, mu, scope in CASES: |
| row = [] |
| for n in NS: |
| rt, dead, cap = measure(algo, mu, n, scope=scope if scope != "-" else "global") |
| flag = ("d" if dead else " ") + ("c" if cap else " ") |
| row.append("%10.2fx%s" % (rt, flag)) |
| print(" %-11s %-6.3g %-15s %s" % (algo, mu, scope, "".join("%17s" % c for c in row))) |
|
|
| print() |
| print(" flag: d = 有分量掉到地板 1e-5; c = 有分量顶到天花板 10") |
| print(" 累积判据: ratio(n=1000) / ratio(n=36) 应 > 1.5") |
| print() |
| print(" %-11s %-6s %-15s %10s %10s %8s" % ("algo", "mu", "scope", "r(36)", "r(1000)", "倍数")) |
| for algo, mu, scope in CASES: |
| sc = scope if scope != "-" else "global" |
| a, _, _ = measure(algo, mu, 36, scope=sc) |
| b, _, _ = measure(algo, mu, 1000, scope=sc) |
| print(" %-11s %-6.3g %-15s %9.2fx %9.2fx %7.2f %s" |
| % (algo, mu, scope, a, b, b / max(1e-9, a), |
| "累积 ✓" if b / max(1e-9, a) > 1.5 else "不累积")) |
|
|
