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- 四组单变量对照（同256题同seed）：base / inc_cap / gap_margin 0.5 / 两者同开 限幅后 到达 0.5742→0.5234、time_ok 0.3906→0.2656、2s误差比 0.210→0.279、超VMAX 1.0→0.0、刹停几乎不变 → 之前那部分到达率是超速换来的；损失在逼近末段，不在刹停 - 0.5mm 余量门只付 3 题（0.5742→0.5625）；但 plans['gaps'] 在 0.5mm 截顶，5mm 护栏可达性需抬 cap 重算 - 前提更正：eval_cl 不传 steps、rollout 默认 steps=1（policy.py:156 一步生成），先前按 steps=16 得到的 "当前配方 116ms≈8.6Hz" 作废；真实配方 36.68ms P50 / 49.17ms P99 ≈ 27.3Hz - 归因更正：空算子 0.028ms、空 sync 0.005ms、encode 2.27ms → 不是启动/同步地板； 单步推理仅 7.2ms 且 K=1→8 免费，周期里 ~27ms 是 cum_xf+宽相位的重复计算 - certify_uniform 挂上后 36.7→45.3ms（n=8）/49.6ms（n=16） - kin_torch 补 a/b 形状守卫（脚本里广播不一致会算错 view），测试 30→31 项
71 lines
1.9 KiB
JSON
71 lines
1.9 KiB
JSON
{
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"config": {
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"ckpt": "ml/runs/base_dag2_dag1/best.pt",
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"samples": "ml/data/samples",
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"dump": "ml/runs/round33_both_rows.json",
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"out": "docs/experiment_round33_both.json",
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"trace": "ml/runs/round33_both.pt",
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"select": "endpoint",
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"replan": "empty",
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"safety": 1,
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"partial": 1,
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"inc_cap": 1,
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"gap_margin": 0.5,
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"max_sec": null,
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"seed": 0,
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"dls": "analytic",
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"device": "cuda"
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},
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"batch_size": 256,
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"batch_seed_rule": "same seed per batch",
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},
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}
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