{"id":16733,"date":"2017-03-06T22:06:02","date_gmt":"2017-03-06T14:06:02","guid":{"rendered":"http:\/\/ityet.com\/?p=16733"},"modified":"2017-03-06T22:06:02","modified_gmt":"2017-03-06T14:06:02","slug":"fb%e5%bc%80%e6%ba%90%e7%9b%b8%e4%bc%bc%e6%80%a7%e6%90%9c%e7%b4%a2%e5%ba%93faiss%ef%bc%9a%e6%80%a7%e8%83%bd%e9%ab%98%e4%ba%8e%e7%90%86%e8%ae%ba%e5%b3%b0%e5%80%bc55%ef%bc%8c%e6%8f%90%e9%80%9f8-5","status":"publish","type":"post","link":"https:\/\/itmax.cn\/?p=16733","title":{"rendered":"FB\u5f00\u6e90\u76f8\u4f3c\u6027\u641c\u7d22\u5e93Faiss\uff1a\u6027\u80fd\u9ad8\u4e8e\u7406\u8bba\u5cf0\u503c55%\uff0c\u63d0\u901f8.5\u500d"},"content":{"rendered":"<p style=\"text-align: center;\"><img decoding=\"async\" src=\"http:\/\/images2015.cnblogs.com\/news\/66372\/201703\/66372-20170306154043391-697362370.jpg\" alt=\"FB\u5f00\u6e90\u76f8\u4f3c\u6027\u641c\u7d22\u5e93Faiss\uff1a\u6027\u80fd\u9ad8\u4e8e\u7406\u8bba\u5cf0\u503c55%\uff0c\u63d0\u901f8.5\u500d\" \/><\/p>\n<p>\u3000\u3000\u5728\u7528\u6237\u65e5\u5e38\u641c\u7d22\u8fc7\u7a0b\u4e2d\uff0c\u4e00\u4e2a\u7ecf\u5e38\u51fa\u73b0\u7684\u95ee\u9898\u5373\u5927\u591a\u6570\u8fd4\u56de\u7684\u7f51\u7ad9\u7ed3\u679c\u62e5\u6709\u5b8c\u5168\u76f8\u540c\u6216\u8005\u51e0\u4e4e\u4e00\u6837\u7684\u4fe1\u606f\u3002\u800c\u5e94\u7528\u4e86\u76f8\u4f3c\u6027\u641c\u7d22\u7684\u76f8\u4f3c\u5f15\u64ce\u5373\u53ef\u4e3a\u7528\u6237\u8fd4\u56de\u6700\u6070\u5f53\u3001\u6700\u5408\u9002\u7684\u7ed3\u679c\uff0c\u540c\u65f6\u9690\u85cf\u6216\u8005\u4e22\u5f03\u90a3\u4e9b\u91cd\u590d\u7684\u6570\u636e\u3002<\/p>\n<p>\u3000\u3000\u4f46\u662f\uff0c\u76ee\u524d\u76f8\u4f3c\u6027\u641c\u7d22\u9886\u57df\u9700\u8981\u514b\u670d\u7684\u96be\u9898\u5373\u5b83\u7684\u89c4\u6a21\u548c\u8fd0\u884c\u901f\u5ea6\u3002\u96f7\u950b\u7f51\u8fd1\u65e5\u4e86\u89e3\u5230\uff0cFacebook \u7684\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u56e2\u961f\u5c31\u79f0\u5df2\u5728\u8be5\u95ee\u9898\u4e0a\u53d6\u5f97\u4e86\u91cd\u8981\u8fdb\u5c55\u3002Facebook \u5728\u65b0\u53d1\u5e03\u7684\u8bba\u6587\u300aBillion-scale similarity search with GPUs\u300b\u4e2d\u8868\u793a\uff0c\u53ef\u5728 GPU \u4e0a\u5b9e\u73b0\u5341\u4ebf\u89c4\u6a21\u7ea7\u7684\u76f8\u4f3c\u6027\u641c\u7d22\uff0c\u5e76\u4e14\u5df2\u5f00\u6e90\u8be5\u65b9\u6cd5\u3002<\/p>\n<p>\u3000\u3000\u5728\u5904\u7406\u56fe\u50cf\u6216\u89c6\u9891\u7b49\u590d\u6742\u6570\u636e\u65f6\u4f1a\u6d89\u53ca\u4e13\u7528\u6570\u636e\u5e93\u7cfb\u7edf\uff0c\u800c\u76f8\u4f3c\u6027\u641c\u7d22\uff08similarity search\uff09\u5219\u53ef\u4ee5\u5728\u4e13\u7528\u6570\u636e\u5e93\u7cfb\u7edf\u4e2d\u627e\u5bfb\u5e94\u7528\u3002\u4f46\u95ee\u9898\u662f\uff0c\u8fd9\u4e9b\u590d\u6742\u6570\u636e\u901a\u5e38\u7528\u9ad8\u7ef4\u7279\u5f81\u8868\u793a\uff0c\u800c\u4e14\u9700\u8981\u7279\u5b9a\u7684\u7d22\u5f15\u7ed3\u6784\u3002<\/p>\n<p>\u3000\u3000\u56e0\u6b64\uff0cFacebook \u7684\u7814\u7a76\u4eba\u5458\u5c31\u901a\u8fc7\u66f4\u597d\u5730\u5229\u7528 GPU \u7684\u4f18\u52bf\u89e3\u51b3\u4e86\u8fd9\u4e2a\u95ee\u9898 \u3002\u5c3d\u7ba1 GPU \u64c5\u957f\u6570\u636e\u5e76\u884c\u4efb\u52a1\uff0c\u4f46\u4e4b\u524d\u7684\u65b9\u6cd5\u8981\u4e48\u4f1a\u5728\u5e76\u884c\u6027\u4e0d\u9ad8\u7684\u7b97\u6cd5\uff08\u5982 k-min selection\uff09\u4e0a\u906d\u9047\u74f6\u9888\uff0c\u8981\u4e48\u4e0d\u80fd\u6709\u6548\u5229\u7528\u5185\u5b58\u7684\u5c42\u6b21\u7ed3\u6784\u3002<\/p>\n<p>\u3000\u3000\u4e3a\u6b64\u96f7\u950b\u7f51\u4e86\u89e3\u5230\uff0c\u4ed6\u4eec\u63d0\u51fa\u4e00\u79cd\u53ef\u7528\u4e8ek-selection \u7684\u65b0\u8bbe\u8ba1\uff0c\u4f7f\u5176\u80fd\u4ee5\u9ad8\u8fbe\u6027\u80fd\u7406\u8bba\u5cf0\u503c 55% \u7684\u901f\u5ea6\u8fdb\u884c\u8fd0\u7b97\uff0c\u5e76\u5b9e\u73b0\u4e86\u6bd4\u4e4b\u524d\u6700\u4f73\u7684 GPU \u65b9\u6cd5\u5feb 8.5 \u500d\u7684\u6700\u8fd1\u90bb\u641c\u7d22\u3002\u4ed6\u4eec\u4e3a\u4ee5\u79ef\u91cf\u5316\uff08product quantization\uff09\u4e3a\u57fa\u7840\u7684\u66b4\u529b\u8ba1\u7b97\u3001\u8fd1\u4f3c\u548c\u538b\u7f29\u57df\u641c\u7d22\u63d0\u51fa\u4f18\u5316\u8bbe\u8ba1\uff0c\u4ece\u800c\u5c06\u5176\u5e94\u7528\u5230\u4e0d\u540c\u7684\u76f8\u4f3c\u6027\u641c\u7d22\u573a\u666f\u4e2d\u3002\u5728\u6240\u6709\u8fd9\u4e9b\u573a\u666f\u4e2d\uff0c\u8be5\u65b9\u6cd5\u6bd4\u4e4b\u524d\u7684\u65b9\u6cd5\u7684\u6700\u4f73\u8868\u73b0\u8fd8\u8981\u597d\uff0c\u5b83\u53ef\u5728 35 \u5206\u949f\u5185\u4ece Yfcc100M \u6570\u636e\u96c6\u7684 9500 \u4e07\u5f20\u56fe\u50cf\u4e0a\u6784\u5efa\u4e00\u4e2a\u9ad8\u51c6\u786e\u5ea6\u7684 k-NN \u56fe\uff0c\u4e5f\u53ef\u4ee5\u5728 12 \u4e2a\u5c0f\u65f6\u5185\u5728 4 \u4e2a Maxwell Titan X GPU \u4e0a\u6784\u5efa\u4e00\u4e2a\u8fde\u63a5\u4e86 10 \u4ebf\u4e2a\u5411\u91cf\u7684\u56fe\u3002<\/p>\n<p>\u3000\u3000\u73b0\u5728 Facebook \u5df2\u5c06\u8be5\u65b9\u6cd5\uff08Faiss\uff09\u5f00\u6e90\uff0c\u4f7f\u5927\u5bb6\u80fd\u8fdb\u884c\u6bd4\u8f83\u548c\u91cd\u590d\u5229\u7528\u3002<\/p>\n<p>\u3000\u3000<strong>\u6982\u62ec\u7684\u8bf4\uff0c\u8be5\u8bba\u6587\u7684\u4e3b\u8981\u7a81\u7834\u6709\uff1a<\/strong><\/p>\n<ol>\n<li>\n<p>\u7ed9\u51fa\u4e00\u4e2a\u53ef\u5728 GPU \u4e0a\u8fd0\u884c\u7684k-selection \u7b97\u6cd5\u3002\u5b83\u53ef\u5728\u5feb\u901f\u5bc4\u5b58\u5947\u50a8\u5668\u4e2d\u8fd0\u884c\uff0c\u5e76\u4e14\u5176\u7075\u6d3b\u6027\u80fd\u4f7f\u5b83\u80fd\u4e0e\u5176\u4ed6\u5185\u6838\u4e00\u8d77\u4f7f\u7528\u3002\u5bf9\u6b64\u6211\u4eec\u7ed9\u51fa\u4e86\u590d\u6742\u6027\u5206\u6790\uff1b<\/p>\n<\/li>\n<li>\n<p>\u5728 GPU \u4e0a\u5b9e\u73b0\u7684\u4e3a\u7cbe\u786e\u548c\u8fd1\u4f3c\u7684k\u6700\u8fd1\u90bb\u641c\u7d22\u7684\u8fd1\u6700\u4f18\u7b97\u6cd5\u5e03\u5c40;<\/p>\n<\/li>\n<li>\n<p>\u901a\u8fc7\u4e00\u7cfb\u5217\u5b9e\u9a8c\u8868\u660e\uff0c\u5728\u5355\u4e00\u6216\u591a GPU \u914d\u7f6e\u4e2d\u8fd0\u884c\u7684\u4e2d\u5230\u5927\u89c4\u6a21\u7684\u6700\u8fd1\u90bb\u641c\u7d22\u4efb\u52a1\u4e0a\uff0c\u6211\u4eec\u7684\u65b9\u6cd5\u5927\u5e45\u5ea6\u4f18\u4e8e\u5148\u524d\u6280\u672f\u3002<\/p>\n<\/li>\n<\/ol>\n<p><strong><img decoding=\"async\" src=\"http:\/\/images2015.cnblogs.com\/news\/66372\/201703\/66372-20170306154043375-333951168.jpg\" alt=\"FB\u5f00\u6e90\u76f8\u4f3c\u6027\u641c\u7d22\u5e93Faiss\uff1a\u6027\u80fd\u9ad8\u4e8e\u7406\u8bba\u5cf0\u503c55%\uff0c\u63d0\u901f8.5\u500d\" \/><\/strong><\/p>\n<p style=\"text-align: center;\"><span style=\"font-size: 12px;\">\u56fe\u7247\u9009\u81ea\u8bba\u6587\uff08\u56fe\u72476\uff09\uff1a\u4ece Yfcc100M \u6570\u636e\u96c6\u7684 9500 \u4e07\u5f20\u56fe\u50cf\u4e0a\u6784\u5efa\u7684\u9ad8\u51c6\u786e\u5ea6 k-NN \u56fe\u3002\u7b2c\u4e00\u5f20\u548c\u6700\u540e\u4e00\u5f20\u56fe\u7247\u4e3a\u7ed9\u5b9a\u56fe\u7247\uff0c\u7b97\u6cd5\u901a\u8fc7\u8ba1\u7b97\u5f97\u51fa\u4e24\u5f20\u56fe\u7247\u4e4b\u95f4\u6700&ldquo;\u548c\u8c10&rdquo;\u7684\u6f14\u53d8\u8def\u5f84\u3002<\/span><\/p>\n<p><strong>\u3000\u3000\u5f00\u6e90\u5e93 Faiss \u7b80\u4ecb<\/strong><\/p>\n<p>\u3000\u3000Faiss \u662f\u7528\u4e8e\u6709\u6548\u7684\u76f8\u4f3c\u6027\u641c\u7d22\uff08similarity search\uff09\u548c\u7a20\u5bc6\u77e2\u91cf\u805a\u7c7b\uff08clustering of dense vectors\uff09\u7684\u5e93\u3002\u5b83\u5305\u542b\u4e86\u53ef\u5728\u4efb\u4f55\u5927\u5c0f\u5411\u91cf\u96c6\u5408\u91cc\u8fdb\u884c\u641c\u7d22\u7684\u7b97\u6cd5\uff0c\u5411\u91cf\u96c6\u5408\u7684\u5927\u5c0f\u751a\u81f3\u53ef\u8fbe\u5230 RAM \u5bb9\u7eb3\u4e0d\u4e0b\u7684\u5730\u6b65\u3002\u53e6\u5916\uff0c\u5b83\u8fd8\u5305\u542b\u4e86\u7528\u4e8e\u8bc4\u4f30\u548c\u53c2\u6570\u8c03\u4f18\u7684\u652f\u6301\u4ee3\u7801\u3002Faiss \u7528 C ++ \u7f16\u5199\uff0c\u6709 Python \/ numpy \u7684\u5b8c\u6574\u5305\u88c5\u3002\u5176\u4e2d\u6700\u6709\u7528\u7684\u4e00\u4e9b\u7b97\u6cd5\u5219\u5728 GPU \u4e0a\u5b9e\u73b0\u3002<\/p>\n<p>\u3000\u3000Faiss \u5305\u542b\u51e0\u79cd\u76f8\u4f3c\u6027\u641c\u7d22\u7684\u65b9\u6cd5\u3002\u5b83\u5047\u5b9a\u793a\u4f8b\u53ef\u4ee5\u88ab\u8868\u793a\u4e3a\u5411\u91cf\uff0c\u5e76\u53ef\u4ee5\u901a\u8fc7\u6574\u6570\u8bc6\u522b\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u8fd9\u4e9b\u5411\u91cf\u53ef\u4ee5\u4e0e L2 \u4f4d\u8ddd\u6216\u70b9\u79ef\u8fdb\u884c\u6bd4\u8f83\u3002\u4e0e\u4e00\u4e2a\u67e5\u8be2\u5411\u91cf\uff08query vector\uff09\u76f8\u4f3c\u7684\u5411\u91cf\u662f\u5177\u6709\u6700\u4f4e L2 \u4f4d\u8ddd\u6216\u6700\u9ad8\u70b9\u79ef\u7684\u67e5\u8be2\u5411\u91cf\u3002Faiss \u8fd8\u652f\u6301\u4f59\u5f26\u76f8\u4f3c\u6027\uff08cosine similarity\uff09\uff0c\u56e0\u4e3a\u5b83\u5c5e\u4e8e\u6807\u51c6\u5316\u5411\u91cf\u4e0a\u7684\u70b9\u79ef\u3002<\/p>\n<p>\u3000\u3000\u5927\u591a\u6570\u65b9\u6cd5\uff0c\u4f8b\u5982\u57fa\u4e8e\u4e8c\u5143\u5411\u91cf\u548c\u7d27\u51d1\u91cf\u5316\u4ee3\u7801\u7684\u65b9\u6cd5\uff0c\u4ec5\u4f7f\u7528\u5411\u91cf\u7684\u538b\u7f29\u8868\u5f81\uff0c\u5e76\u4e0d\u9700\u8981\u4fdd\u7559\u539f\u59cb\u5411\u91cf\u3002\u8fd9\u901a\u5e38\u4f1a\u964d\u4f4e\u641c\u7d22\u7684\u51c6\u786e\u6027\uff0c\u4f46\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u5728\u5355\u4e2a\u670d\u52a1\u5668\u4e0a\u7684\u4e3b\u5b58\u50a8\u5668\u4e2d\u6269\u5c55\u5230\u6570\u5341\u4ebf\u4e2a\u5411\u91cf\u3002<\/p>\n<p>\u3000\u3000\u8be5 GPU \u5b9e\u73b0\u53ef\u63a5\u53d7\u6765\u81ea CPU \u6216 GPU \u5185\u5b58\u7684\u8f93\u5165\u3002\u5728\u4e00\u4e2a\u5e26\u6709 GPU \u7684\u670d\u52a1\u5668\u4e0a\uff0c\u5176 GPU \u7d22\u5f15\u53ef\u4ee5\u88ab\u7528\u4f5c\u5176 CPU \u7d22\u5f15\u7684\u63d2\u5165\u66ff\u6362\uff08\u6bd4\u5982\u7528 GpuIndexFlatL2 \u66ff\u4ee3 IndexFlatL2\uff09\uff0c\u800c\u4e14\u6765\u81ea\u6216\u53d1\u5f80 GPU \u5185\u5b58\u7684\u526f\u672c\u53ef\u4ee5\u88ab\u81ea\u52a8\u5904\u7406\u3002<\/p>\n<p>\u3000\u3000<strong>Faiss \u7684\u6784\u5efa<\/strong><\/p>\n<p>\u3000\u3000\u8be5\u5e93\u57fa\u672c\u4e0a\u901a\u8fc7 C++ \u5b9e\u73b0\u3002\u5b83\u5e26\u6709\u53ef\u9009\u62e9\u7684 GPU \uff08\u8be5 GPU \u901a\u8fc7 CUDA \u652f\u6301\uff09\u4ee5\u53ca\u4e00\u4e2a\u53ef\u9009\u7684 Python \u63a5\u53e3\u3002\u7f16\u8bd1\u91c7\u7528\u7684\u662f Makefile\u3002\u8be6\u7ec6\u4fe1\u606f\u53ef\u53c2\u89c1 INSTALL\uff1a<\/p>\n<p>\u3000\u3000<a href=\"https:\/\/github.com\/facebookresearch\/faiss\/blob\/master\/INSTALL\" rel=\"nofollow\" target=\"_blank\">https:\/\/github.com\/facebookresearch\/faiss\/blob\/master\/INSTALL<\/a><\/p>\n<p>\u3000\u3000<strong>Faiss \u7684\u5de5\u4f5c\u539f\u7406<\/strong><\/p>\n<p>\u3000\u3000Faiss \u662f\u56f4\u7ed5\u5b58\u50a8\u4e00\u4e2a\u5411\u91cf\u96c6\u7684\u7d22\u5f15\u7c7b\u578b\uff08index type\uff09\u6784\u5efa\u7684\uff0c\u5e76\u4e14\u7d22\u5f15\u7c7b\u578b\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5229\u7528 L2 \u548c\/\u6216\u70b9\u79ef\u5411\u91cf\u6bd4\u8f83\u7684\u51fd\u6570\uff0c\u4ee5\u4f7f\u8be5\u51fd\u6570\u80fd\u591f\u5728\u5411\u91cf\u96c6\u4e2d\u8fdb\u884c\u641c\u7d22\u3002\u6709\u4e9b\u7d22\u5f15\u7c7b\u578b\u662f\u7b80\u5355\u7684\u57fa\u7ebf\uff0c\u5982\u7cbe\u786e\u641c\u7d22\u3002\u5927\u591a\u6570\u53ef\u7528\u7684\u7d22\u5f15\u7ed3\u6784\u90fd\u5bf9\u5e94\u4ee5\u4e0b\u51e0\u70b9\u6743\u8861\uff1a<\/p>\n<ol>\n<li>\n<p>\u641c\u7d22\u65f6\u95f4<\/p>\n<\/li>\n<li>\n<p>\u641c\u7d22\u8d28\u91cf<\/p>\n<\/li>\n<li>\n<p>\u6bcf\u4e2a\u7d22\u5f15\u5411\u91cf\u4f7f\u7528\u7684\u5185\u5b58\u5927\u5c0f<\/p>\n<\/li>\n<li>\n<p>\u8bad\u7ec3\u65f6\u95f4<\/p>\n<\/li>\n<li>\n<p>\u65e0\u76d1\u7763\u8bad\u7ec3\u5bf9\u5916\u90e8\u6570\u636e\u7684\u9700\u6c42<\/p>\n<\/li>\n<\/ol>\n<p>\u3000\u3000<strong>\u83b7\u53d6 Faiss \u5b8c\u6574\u7248\u6587\u6863<\/strong><\/p>\n<ul>\n<li>\n<p>\u5b8c\u6574\u6587\u6863\uff08\u5305\u62ec\u4e00\u4e2a\u6307\u5357\uff09\u53ef\u4ee5\u53c2\u9605 GitHub \u7684 wiki \u9875\uff1a<a href=\"http:\/\/github.com\/facebookresearch\/faiss\/wiki\" target=\"_blank\">http:\/\/github.com\/facebookresearch\/faiss\/wiki<\/a><\/p>\n<\/li>\n<li>\n<p>doxygen \u6587\u6863\u63d0\u4f9b\u4e86\u6bcf\u4e2a\u7c7b\u7684\u4fe1\u606f\uff1a<a href=\"http:\/\/rawgithub.com\/facebookresearch\/faiss\/master\/docs\/html\/annotated.html\" rel=\"nofollow\" target=\"_blank\">http:\/\/rawgithub.com\/facebookresearch\/faiss\/master\/docs\/html\/annotated.html<\/a><\/p>\n<\/li>\n<\/ul>\n<ul>\n<li>\n<p>\u91cd\u73b0\u672c\u7814\u7a76\u8bba\u6587\u7684\u7ed3\u679c\uff0c\u53ef\u4ee5\u53c2\u8003\u57fa\u51c6 README<a href=\"https:\/\/github.com\/facebookresearch\/faiss\/blob\/master\/benchs\/README.md\" rel=\"nofollow\" target=\"_blank\">https:\/\/github.com\/facebookresearch\/faiss\/blob\/master\/benchs\/README.md<\/a><\/p>\n<\/li>\n<\/ul>\n<p>\u3000\u3000<strong>\u76f8\u4f3c\u6027\u641c\u7d22\u5ef6\u4f38\u9605\u8bfb<\/strong><\/p>\n<p>\u3000\u3000\u5bf9\u76f8\u4f3c\u6027\u641c\u7d22\u4e0d\u751a\u4e86\u89e3\u7684\u540c\u5b66\uff0c\u53ef\u4ee5\u53c2\u770b\u4ee5\u4e0b\u7531\u96f7\u950b\u7f51\u6574\u7406\u7684\u76f8\u4f3c\u6027\u641c\u7d22\u7684\u5ef6\u4f38\u9605\u8bfb\u3002<\/p>\n<p>\u3000\u3000<strong>\u76f8\u4f3c\u6027\u641c\u7d22\u7684\u5206\u7c7b\uff1a<\/strong><\/p>\n<p>\u3000\u3000\u6700\u90bb\u8fd1\u641c\u7d22\uff08nearest neighbor search\uff09\u548c\u8303\u56f4\u67e5\u8be2\uff08range 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