{"id":51405,"date":"2024-10-08T18:20:16","date_gmt":"2024-10-08T10:20:16","guid":{"rendered":"https:\/\/server.hk\/cnblog\/51405\/"},"modified":"2024-11-14T10:43:24","modified_gmt":"2024-11-14T02:43:24","slug":"ubuntu-16-04-cuda-7-5-caffe-%e6%b7%b1%e5%ba%a6%e5%ad%b8%e7%bf%92%e7%92%b0%e5%a2%83%e6%90%ad%e5%bb%ba","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/51405\/","title":{"rendered":"Ubuntu 16.04 + CUDA 7.5 + Caffe \u6df1\u5ea6\u5b78\u7fd2\u74b0\u5883\u642d\u5efa"},"content":{"rendered":"<h1 id=\"ubuntu-16-04-cuda-7-5-caffe-%e6%b7%b1%e5%ba%a6%e5%ad%b8%e7%bf%92%e7%92%b0%e5%a2%83%e6%90%ad%e5%bb%ba-FsuzeTDJKR\">Ubuntu 16.04 + CUDA 7.5 + Caffe \u6df1\u5ea6\u5b78\u7fd2\u74b0\u5883\u642d\u5efa<\/h1>\n<p>\u96a8\u8457\u6df1\u5ea6\u5b78\u7fd2\u6280\u8853\u7684\u8fc5\u901f\u767c\u5c55\uff0c\u8a31\u591a\u7814\u7a76\u8005\u548c\u958b\u767c\u8005\u90fd\u5e0c\u671b\u80fd\u5920\u642d\u5efa\u4e00\u500b\u9ad8\u6548\u7684\u6df1\u5ea6\u5b78\u7fd2\u74b0\u5883\u3002\u672c\u6587\u5c07\u4ecb\u7d39\u5982\u4f55\u5728 Ubuntu 16.04 \u4e0a\u5b89\u88dd CUDA 7.5 \u548c Caffe\uff0c\u5e6b\u52a9\u60a8\u5feb\u901f\u5efa\u7acb\u6df1\u5ea6\u5b78\u7fd2\u7684\u958b\u767c\u74b0\u5883\u3002<\/p>\n<h2 id=\"%e7%92%b0%e5%a2%83%e6%ba%96%e5%82%99-FsuzeTDJKR\">\u74b0\u5883\u6e96\u5099<\/h2>\n<p>\u5728\u958b\u59cb\u4e4b\u524d\uff0c\u60a8\u9700\u8981\u78ba\u4fdd\u60a8\u7684\u7cfb\u7d71\u7b26\u5408\u4ee5\u4e0b\u8981\u6c42\uff1a<\/p>\n<ul>\n<li>\u64cd\u4f5c\u7cfb\u7d71\uff1aUbuntu 16.04<\/li>\n<li>\u986f\u793a\u5361\uff1aNVIDIA \u986f\u793a\u5361\uff0c\u652f\u6301 CUDA<\/li>\n<li>\u7db2\u7d61\u9023\u63a5\uff1a\u9700\u8981\u4e0b\u8f09\u76f8\u95dc\u7684\u5b89\u88dd\u5305<\/li>\n<\/ul>\n<h2 id=\"%e5%ae%89%e8%a3%9d-nvidia-%e9%a9%85%e5%8b%95-FsuzeTDJKR\">\u5b89\u88dd NVIDIA \u9a45\u52d5<\/h2>\n<p>\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88dd NVIDIA \u9a45\u52d5\u3002\u53ef\u4ee5\u901a\u904e\u4ee5\u4e0b\u547d\u4ee4\u4f86\u5b89\u88dd\uff1a<\/p>\n<pre><code>sudo apt-get update\nsudo apt-get install nvidia-352<\/code><\/pre>\n<p>\u5b89\u88dd\u5b8c\u6210\u5f8c\uff0c\u91cd\u555f\u7cfb\u7d71\u4ee5\u4f7f\u9a45\u52d5\u751f\u6548\u3002<\/p>\n<h2 id=\"%e5%ae%89%e8%a3%9d-cuda-7-5-FsuzeTDJKR\">\u5b89\u88dd CUDA 7.5<\/h2>\n<p>\u63a5\u4e0b\u4f86\uff0c\u60a8\u9700\u8981\u5b89\u88dd CUDA 7.5\u3002\u53ef\u4ee5\u5f9e NVIDIA \u7684\u5b98\u65b9\u7db2\u7ad9\u4e0b\u8f09 CUDA 7.5 \u7684\u5b89\u88dd\u5305\u3002\u4e0b\u8f09\u5b8c\u6210\u5f8c\uff0c\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u9032\u884c\u5b89\u88dd\uff1a<\/p>\n<pre><code>sudo sh cuda_7.5_352.39_linux.run<\/code><\/pre>\n<p>\u5728\u5b89\u88dd\u904e\u7a0b\u4e2d\uff0c\u60a8\u53ef\u4ee5\u9078\u64c7\u5b89\u88dd\u9a45\u52d5\u7a0b\u5e8f\u6216\u4e0d\u5b89\u88dd\uff0c\u56e0\u70ba\u60a8\u5df2\u7d93\u5728\u524d\u9762\u5b89\u88dd\u4e86\u9a45\u52d5\u3002\u5b89\u88dd\u5b8c\u6210\u5f8c\uff0c\u60a8\u9700\u8981\u5c07 CUDA \u7684\u8def\u5f91\u6dfb\u52a0\u5230\u74b0\u5883\u8b8a\u91cf\u4e2d\u3002\u7de8\u8f2f ~\/.bashrc \u6587\u4ef6\uff0c\u6dfb\u52a0\u4ee5\u4e0b\u884c\uff1a<\/p>\n<pre><code>export PATH=\/usr\/local\/cuda-7.5\/bin${PATH:+:${PATH}}\nexport LD_LIBRARY_PATH=\/usr\/local\/cuda-7.5\/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}<\/code><\/pre>\n<p>\u7136\u5f8c\u57f7\u884c\u4ee5\u4e0b\u547d\u4ee4\u4f7f\u6539\u52d5\u751f\u6548\uff1a<\/p>\n<pre><code>source ~\/.bashrc<\/code><\/pre>\n<h2 id=\"%e5%ae%89%e8%a3%9d-caffe-FsuzeTDJKR\">\u5b89\u88dd Caffe<\/h2>\n<p>\u73fe\u5728\uff0c\u6211\u5011\u53ef\u4ee5\u958b\u59cb\u5b89\u88dd Caffe\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88dd\u4e00\u4e9b\u4f9d\u8cf4\u5305\uff1a<\/p>\n<pre><code>sudo apt-get install build-essential cmake git libatlas-base-dev libboost-all-dev libhdf5-serial-dev protobuf-compiler python-protobuf python-numpy python-scipy libopencv-dev<\/code><\/pre>\n<p>\u63a5\u4e0b\u4f86\uff0c\u5f9e GitHub \u4e0a\u514b\u9686 Caffe \u7684\u4ee3\u78bc\u5eab\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/BVLC\/caffe.git\ncd caffe\ngit checkout tags\/r0.15<\/code><\/pre>\n<p>\u7136\u5f8c\uff0c\u60a8\u9700\u8981\u7de8\u8f2f Caffe \u7684\u914d\u7f6e\u6587\u4ef6\uff0c\u901a\u5e38\u662f\u4f4d\u65bc caffe \u76ee\u9304\u4e0b\u7684 Makefile.config.example\u3002\u5c07\u5176\u8907\u88fd\u70ba Makefile.config \u4e26\u6839\u64da\u9700\u8981\u9032\u884c\u4fee\u6539\uff1a<\/p>\n<pre><code>cp Makefile.config.example Makefile.config<\/code><\/pre>\n<p>\u5728 Makefile.config \u4e2d\uff0c\u78ba\u4fdd\u4ee5\u4e0b\u884c\u88ab\u53d6\u6d88\u8a3b\u91cb\u4ee5\u555f\u7528 CUDA \u652f\u6301\uff1a<\/p>\n<pre><code>USE_CUDA := 1\nCUDA_DIR := \/usr\/local\/cuda-7.5<\/code><\/pre>\n<p>\u5b8c\u6210\u5f8c\uff0c\u60a8\u53ef\u4ee5\u7de8\u8b6f Caffe\uff1a<\/p>\n<pre><code>make all -j8\nmake test -j8\nmake runtest -j8<\/code><\/pre>\n<p>\u5982\u679c\u4e00\u5207\u9806\u5229\uff0c\u60a8\u61c9\u8a72\u80fd\u5920\u6210\u529f\u7de8\u8b6f Caffe\u3002<\/p>\n<h2 id=\"%e9%a9%97%e8%ad%89%e5%ae%89%e8%a3%9d-FsuzeTDJKR\">\u9a57\u8b49\u5b89\u88dd<\/h2>\n<p>\u6700\u5f8c\uff0c\u60a8\u53ef\u4ee5\u901a\u904e\u904b\u884c\u4ee5\u4e0b\u547d\u4ee4\u4f86\u9a57\u8b49 Caffe \u662f\u5426\u5b89\u88dd\u6210\u529f\uff1a<\/p>\n<pre><code>cd python\nfor req in $(cat requirements.txt); do pip install $req; done\npython -c \"import caffe; print(caffe.__version__)\"<\/code><\/pre>\n<p>\u5982\u679c\u6c92\u6709\u932f\u8aa4\u4fe1\u606f\u4e26\u4e14\u986f\u793a\u4e86\u7248\u672c\u865f\uff0c\u5247\u8868\u793a Caffe \u5b89\u88dd\u6210\u529f\u3002<\/p>\n<h2 id=\"%e7%b8%bd%e7%b5%90-FsuzeTDJKR\">\u7e3d\u7d50<\/h2>\n<p>\u672c\u6587\u4ecb\u7d39\u4e86\u5982\u4f55\u5728 Ubuntu 16.04 \u4e0a\u642d\u5efa CUDA 7.5 \u548c Caffe \u7684\u6df1\u5ea6\u5b78\u7fd2\u74b0\u5883\u3002\u9019\u4e00\u904e\u7a0b\u6d89\u53ca\u5230 NVIDIA \u9a45\u52d5\u7684\u5b89\u88dd\u3001CUDA \u7684\u914d\u7f6e\u4ee5\u53ca Caffe \u7684\u7de8\u8b6f\u3002\u900f\u904e\u9019\u4e9b\u6b65\u9a5f\uff0c\u60a8\u53ef\u4ee5\u70ba\u6df1\u5ea6\u5b78\u7fd2\u9805\u76ee\u63d0\u4f9b\u4e00\u500b\u7a69\u5b9a\u7684\u57fa\u790e\u3002<\/p>\n<p>\u5982\u679c\u60a8\u9700\u8981\u66f4\u9ad8\u6548\u7684\u8a08\u7b97\u8cc7\u6e90\uff0c\u53ef\u4ee5\u8003\u616e\u4f7f\u7528 <a href=\"https:\/\/server.hk\">\u9999\u6e2fVPS<\/a> \u670d\u52d9\uff0c\u9019\u5c07\u70ba\u60a8\u7684\u6df1\u5ea6\u5b78\u7fd2\u9805\u76ee\u63d0\u4f9b\u66f4\u597d\u7684\u652f\u6301\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn how to set up a deep learning environment with Ubuntu 16.04, CUDA 7.5, and Caffe for efficient neural network training and development.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4924],"tags":[],"class_list":["post-51405","post","type-post","status-publish","format-standard","hentry","category-setup-tutorials"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/51405","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/comments?post=51405"}],"version-history":[{"count":1,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/51405\/revisions"}],"predecessor-version":[{"id":51406,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/51405\/revisions\/51406"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=51405"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=51405"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=51405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}