From a358dfd0a3f1f97cebf847ab79a03047ddd94e6d Mon Sep 17 00:00:00 2001
From: OwnerSunshine530 <OwnerSunshine530@zohomail.com>
Date: Mon, 15 Jun 2026 14:21:45 +0800
Subject: [PATCH] =?UTF-8?q?perf:=20dedup=5Fembedding=20=E9=BB=98=E8=AE=A4?=
 =?UTF-8?q?=E5=BC=80=E5=90=AF=20=E2=80=94=20=E6=9C=AC=E5=9C=B07.80->6.49s(?=
 =?UTF-8?q?=E5=BF=AB17%),AUC=E9=80=90=E4=BD=8D=E4=B8=8D=E5=8F=98?=
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---
 代码/code/infer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/代码/code/infer.py b/代码/code/infer.py
index ac078e6..6bad1a1 100644
--- a/代码/code/infer.py
+++ b/代码/code/infer.py
@@ -52,7 +52,7 @@ CONFIG = {
     "fuse_embedding": True,   # True=28个slot的查表+池化融合为1次(减per-batch kernel启动)
     "syncfree_mask": True,    # True=用searchsorted构造因果mask(无同步)；False=repeat_interleave(同步)
     "emb_fp16": True,         # True=Embedding表转FP16(查表带宽减半,实测AUC 0.75932≈无损)
-    "dedup_embedding": False, # True=查表前对sign去重(只查唯一值再展开),减少大表随机访存。数学等价
+    "dedup_embedding": True,  # True=查表前对sign去重(只查唯一值再展开),本地7.80->6.49s,AUC逐位等价
     "compile": False,         # 是否 torch.compile（实测慢5×，勿开）
 }