{"id":4142,"date":"2022-07-15T17:16:45","date_gmt":"2022-07-15T09:16:45","guid":{"rendered":"http:\/\/www.sniper97.cn\/?p=4142"},"modified":"2023-04-15T00:06:05","modified_gmt":"2023-04-14T16:06:05","slug":"%e4%b8%ba%e4%bb%80%e4%b9%88attention%e4%b8%ad%e8%a6%81%e9%99%a4%e4%bb%a5sqrtk","status":"publish","type":"post","link":"http:\/\/www.sniper97.cn\/index.php\/note\/deep-learning\/base\/4142\/","title":{"rendered":"\u3010\u6df1\u5ea6\u5b66\u4e60\u7b14\u8bb0\u3011\u4e3a\u4ec0\u4e48$attention$\u4e2d\u8981\u9664\u4ee5$\\sqrt{k}$\uff08scaling\uff09"},"content":{"rendered":"\n

\u9996\u5148\u67e5\u770b\u4e00\u4e0b\u6ce8\u610f\u529b\u7684\u8ba1\u7b97\u65b9\u5f0f\uff1a<\/p>\n\n\n\n

attention=Softmax(\\frac{QK^T}{\\sqrt{d_k}})V<\/pre><\/div>\n\n\n\n
\u4e3b\u8981\u662f\u6709\u51e0\u4e2a\u65b9\u9762\u53ef\u4ee5\u8fdb\u884c\u89e3\u91ca\u3002<\/p>\n\n\n\n
\u68af\u5ea6\u4f20\u64ad<\/h4>\n\n\n\n
\u9996\u5148\u8bf4\u68af\u5ea6\u4f20\u64ad\u7684\u95ee\u9898\uff0c\u7531\u4e8e$attention$\u7684\u8ba1\u7b97\u4f7f\u7528\u4e86$Softmax$\uff0c\u800c$Softmax$\u7684\u66f2\u7ebf\u5728\u8f93\u5165\u503c\u8f83\u5927\u65f6\uff0c\u68af\u5ea6\u63a5\u8fd1$0$\uff0c\u6700\u7ec8\u5bfc\u81f4\u68af\u5ea6\u6d88\u5931\uff0c\u5982\u4e0b\u56fe\u6240\u793a<\/p>\n\n\n
\n
\"\"<\/figure><\/div>\n\n\n
<\/p>\n\n\n\n
\u540c\u65f6\u5728\u8fdb\u884c\u77e9\u9635\u8fd0\u7b97\u65f6\uff0c\u7531\u4e8e\u77e9\u9635\u8fd0\u7b97\u7684\u8fd0\u7b97\u89c4\u5219\u6709\u76f8\u52a0<\/strong>\u7684\u6b65\u9aa4\uff0c\u56e0\u6b64\u4e0d\u53ef\u907f\u514d\u7684\u6bcf\u7ecf\u8fc7\u4e00\u6b21\u77e9\u9635\u8fd0\u7b97\uff0c\u77e9\u9635\u5185\u7684\u503c\u90fd\u4f1a\u6269\u5927\u77e9\u9635\u7ef4\u5ea6\u8fd9\u4e48\u5927\u7684\u500d\u6570\uff08\u6bd4\u5982\u4e0b\u56fe\u5927\u6982\u4f1a\u6269\u59273\u500d\uff09\u3002\u4f1a\u5bfc\u81f4\u68af\u5ea6\u7206\u70b8\u7684\u95ee\u9898\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u56e0\u6b64\uff0c\u5982\u679c\u5c06\u6700\u540e\u77e9\u9635\u7684\u503c\u90fd\u7f29\u5c0f\u4e00\u5b9a\u7684\u500d\u6570\uff0c$Softmax$\u6fc0\u6d3b\u540e\u7684\u68af\u5ea6\u76f8\u5bf9\u66f4\u5927\uff0c\u6a21\u578b\u4e5f\u5c31\u66f4\u5bb9\u6613\u6536\u655b\u3002\u800c\u8fd9\u4e2a\u6570\u5b57\u5982\u4e0a\u4f8b\uff0c\u5c31\u662f\u6240\u6709\u5143\u7d20\u4e2a\u6570\u5f00\u65b9\uff0c\u4e5f\u65e2$\\sqrt{9} = 3$\u3002<\/p>\n\n\n\n
\u591a\u5934\u6ce8\u610f\u529b<\/h4>\n\n\n\n
\u5bf9\u4e8eattention\u8fdb\u884cscaling\u8fd8\u53ef\u4ee5\u6709\u6548\u7684\u9632\u6b62\u67d0\u4e9b\u5934\u7684\u5f97\u5206\u8fc7\u5927\uff0c\u540c\u65f6\u4e5f\u53ef\u4ee5\u9632\u6b62\u68af\u5ea6\u7206\u70b8\u7684\u95ee\u9898\u3002<\/p>\n\n\n\n
\u53c2\u6570\u5206\u5e03<\/h4>\n\n\n\n
\u6211\u4eec\u77e5\u9053\u6a21\u578b\u53c2\u6570\u521d\u59cb\u5316\u662f\u5c3d\u91cf\u521d\u59cb\u5316\u4e00\u4e2a\u65b9\u5dee\u4e3a$1$\u5747\u503c\u4e3a$0$\u7684\u77e9\u9635\uff0c\u56e0\u6b64\u5927\u5bb6\u4e00\u822c\u90fd\u4f7f\u7528\u6807\u51c6\u6b63\u6001\u5206\u5e03\u6216\u8005\u622a\u5c3e\u5206\u5e03\uff08\u4e5f\u5c31\u662f\u7ea6\u675f\u4e86\u4e24\u7aef\u8f83\u5927\u503c\u7684\u6b63\u6001\u5206\u5e03\uff0c\u4ee5\u83b7\u5f97\u8f83\u4e3a\u4f18\u79c0\u7684\u4f18\u5316\u6548\u679c\uff09\u6765\u8fdb\u884c\u521d\u59cb\u5316\u3002<\/p>\n\n\n\n
\u800c\u6b63\u5982\u4e0a\u6587\u6240\u8bf4\uff0c\u7ecf\u8fc7$attention$\u77e9\u9635\u8ba1\u7b97\u540e\uff0c\u6574\u4f53\u53c2\u6570\u503c\u53d8\u5927\uff0c\u5df2\u7ecf\u6ca1\u6709\u529e\u6cd5\u4fdd\u8bc1\u5747\u503c\uff0c\u56e0\u6b64\u9664\u4ee5\u4e00\u4e2a\u6570\u540e\u4fdd\u6301\u53c2\u6570\u7684\u5206\u5e03\u3002<\/p>\n\n\n\n
\u4e3a\u4e86\u4fdd\u6301\u8fd9\u4e9b\u53c2\u6570\u4e00\u81f4\u6027\uff0c\u751a\u81f3\u8fd8\u4f1a\u5bf9\u4e00\u4e9b\u635f\u5931\u51fd\u6570\u548c\u6807\u51c6\u5316\u8fc7\u7a0b\u8fdb\u884c\u4e00\u4e9b\u66f4\u6539\uff0c\u6bd4\u5982$RMS Norm$\u6027\u80fd\u5df2\u7ecf\u88ab\u8bc1\u5b9e\u4f18\u4e8e$Layer Norm$\u3002<\/p>\n\n\n\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
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