WpyQwq
643e22ecb9
- 引入 MemoryRouterXL 与 v5/v6 流式多线程训练/编码管线 - 修复 prepare_memory_router_dataset 候选池重建缺陷（mega 家族 3568x 加速，输出逐字节相同） - 修复 v5 被破坏的拒答与多跳标签（train 未知样本 319 -> 16319，multi_hop 平均正例 1.00 -> 2.00） - 同存储预算下 V2-128 v6 逐轴 22/22 通过：Top-1 41.12% -> 94.62%，未知拒答 0.00% -> 100.00% - 记录三条被实测推翻的显然优化（logits_to_keep=1 反而慢 55%、XL 容量未带来收益） - 记忆手术跨架构可移植性 14/14，读写关闭时与原生模型逐位相同
59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
"""Reply-level diff between two realistic_v2 eval runs, per category."""
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import json
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import sys
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from collections import defaultdict
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from pathlib import Path
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def load(path):
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data = json.loads(Path(path).read_text(encoding="utf-8"))
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key = next(iter(data))
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body = data[key]
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rows = body if isinstance(body, list) else body.get("rows", [])
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return rows
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def idx_keys(rows):
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idx = defaultdict(int)
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out = []
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for r in rows:
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c = r["category"]
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out.append((c, r["query"], idx[c]))
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idx[c] += 1
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return out
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def main(a, b):
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ra, rb = load(a), load(b)
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ka, kb = idx_keys(ra), idx_keys(rb)
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ma = {k: r for k, r in zip(ka, ra)}
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mb = {k: r for k, r in zip(kb, rb)}
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same_reply = defaultdict(int)
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diff_reply = defaultdict(int)
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diff_examples = defaultdict(list)
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for k in ma:
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if k not in mb:
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continue
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if ma[k].get("reply") == mb[k].get("reply"):
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same_reply[k[0]] += 1
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else:
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diff_reply[k[0]] += 1
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if len(diff_examples[k[0]]) < 3:
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diff_examples[k[0]].append((k[1], ma[k].get("reply"), mb[k].get("reply")))
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cats = sorted(set(same_reply) | set(diff_reply))
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print(f"{'category':<20}{'same':>6}{'changed':>9}{'total':>7}")
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for c in cats:
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print(f"{c:<20}{same_reply[c]:>6}{diff_reply[c]:>9}{same_reply[c]+diff_reply[c]:>7}")
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print()
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for c in cats:
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if diff_reply[c]:
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print(f"=== {c}: {diff_reply[c]} replies changed ===")
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for q, x, y in diff_examples[c]:
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print(f" Q: {q}")
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print(f" old: {x!r}")
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print(f" new: {y!r}")
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if __name__ == "__main__":
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main(sys.argv[1], sys.argv[2])
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