{"id":51409,"date":"2024-10-08T18:22:14","date_gmt":"2024-10-08T10:22:14","guid":{"rendered":"https:\/\/server.hk\/cnblog\/51409\/"},"modified":"2024-11-14T10:43:23","modified_gmt":"2024-11-14T02:43:23","slug":"ubuntu-16-04-cuda-8-0-theano-%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\/51409\/","title":{"rendered":"Ubuntu 16.04 + CUDA 8.0 + Theano \u6df1\u5ea6\u5b78\u7fd2\u74b0\u5883\u642d\u5efa"},"content":{"rendered":"<h1 id=\"ubuntu-16-04-cuda-8-0-theano-%e6%b7%b1%e5%ba%a6%e5%ad%b8%e7%bf%92%e7%92%b0%e5%a2%83%e6%90%ad%e5%bb%ba-BwDwgdJukH\">Ubuntu 16.04 + CUDA 8.0 + Theano \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\u8d8a\u4f86\u8d8a\u591a\u7684\u7814\u7a76\u8005\u548c\u958b\u767c\u8005\u958b\u59cb\u4f7f\u7528\u5404\u7a2e\u5de5\u5177\u548c\u6846\u67b6\u4f86\u69cb\u5efa\u548c\u8a13\u7df4\u795e\u7d93\u7db2\u7d61\u3002Theano \u662f\u4e00\u500b\u6d41\u884c\u7684\u6df1\u5ea6\u5b78\u7fd2\u5eab\uff0c\u80fd\u5920\u9ad8\u6548\u5730\u9032\u884c\u6578\u503c\u8a08\u7b97\uff0c\u4e26\u4e14\u652f\u6301 GPU \u52a0\u901f\u3002\u672c\u6587\u5c07\u4ecb\u7d39\u5982\u4f55\u5728 Ubuntu 16.04 \u7cfb\u7d71\u4e0a\u642d\u5efa CUDA 8.0 \u548c Theano \u7684\u6df1\u5ea6\u5b78\u7fd2\u74b0\u5883\u3002<\/p>\n<h2 id=\"%e7%92%b0%e5%a2%83%e6%ba%96%e5%82%99-BwDwgdJukH\">\u74b0\u5883\u6e96\u5099<\/h2>\n<p>\u5728\u958b\u59cb\u4e4b\u524d\uff0c\u78ba\u4fdd\u4f60\u7684\u7cfb\u7d71\u5df2\u7d93\u5b89\u88dd\u4e86\u4ee5\u4e0b\u8edf\u4ef6\uff1a<\/p>\n<ul>\n<li>Ubuntu 16.04<\/li>\n<li>NVIDIA \u9a45\u52d5\u7a0b\u5e8f<\/li>\n<li>CUDA 8.0<\/li>\n<li>Theano<\/li>\n<\/ul>\n<h2 id=\"%e5%ae%89%e8%a3%9d-nvidia-%e9%a9%85%e5%8b%95%e7%a8%8b%e5%ba%8f-BwDwgdJukH\">\u5b89\u88dd NVIDIA \u9a45\u52d5\u7a0b\u5e8f<\/h2>\n<p>\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88dd NVIDIA \u9a45\u52d5\u7a0b\u5e8f\u4ee5\u652f\u6301 GPU \u52a0\u901f\u3002\u53ef\u4ee5\u901a\u904e\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88dd\uff1a<\/p>\n<pre><code>sudo apt-get update\nsudo apt-get install nvidia-375<\/code><\/pre>\n<p>\u5b89\u88dd\u5b8c\u6210\u5f8c\uff0c\u91cd\u555f\u7cfb\u7d71\u4ee5\u4f7f\u9a45\u52d5\u7a0b\u5e8f\u751f\u6548\u3002<\/p>\n<h2 id=\"%e5%ae%89%e8%a3%9d-cuda-8-0-BwDwgdJukH\">\u5b89\u88dd CUDA 8.0<\/h2>\n<p>\u63a5\u4e0b\u4f86\uff0c\u4e0b\u8f09 CUDA 8.0 \u7684\u5b89\u88dd\u5305\u3002\u4f60\u53ef\u4ee5\u5f9e NVIDIA \u7684\u5b98\u65b9\u7db2\u7ad9\u7372\u53d6\u6700\u65b0\u7684 CUDA \u7248\u672c\u3002\u4e0b\u8f09\u5f8c\uff0c\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u9032\u884c\u5b89\u88dd\uff1a<\/p>\n<pre><code>sudo sh cuda_8.0.XX_linux.run<\/code><\/pre>\n<p>\u5728\u5b89\u88dd\u904e\u7a0b\u4e2d\uff0c\u9078\u64c7\u5b89\u88dd\u9a45\u52d5\u7a0b\u5e8f\u548c CUDA \u5de5\u5177\u5305\u3002\u5b89\u88dd\u5b8c\u6210\u5f8c\uff0c\u5c07 CUDA \u7684\u8def\u5f91\u6dfb\u52a0\u5230\u74b0\u5883\u8b8a\u91cf\u4e2d\uff1a<\/p>\n<pre><code>echo 'export PATH=\/usr\/local\/cuda-8.0\/bin:$PATH' &gt;&gt; ~\/.bashrc\necho 'export LD_LIBRARY_PATH=\/usr\/local\/cuda-8.0\/lib64:$LD_LIBRARY_PATH' &gt;&gt; ~\/.bashrc\nsource ~\/.bashrc<\/code><\/pre>\n<h2 id=\"%e5%ae%89%e8%a3%9d-theano-BwDwgdJukH\">\u5b89\u88dd Theano<\/h2>\n<p>\u63a5\u4e0b\u4f86\uff0c\u6211\u5011\u9700\u8981\u5b89\u88dd Theano\u3002\u9996\u5148\uff0c\u78ba\u4fdd\u4f60\u5df2\u7d93\u5b89\u88dd\u4e86 Python \u548c pip\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88dd\uff1a<\/p>\n<pre><code>sudo apt-get install python-pip\nsudo pip install --upgrade pip<\/code><\/pre>\n<p>\u7136\u5f8c\uff0c\u4f7f\u7528 pip \u5b89\u88dd Theano\uff1a<\/p>\n<pre><code>sudo pip install Theano<\/code><\/pre>\n<h2 id=\"%e9%85%8d%e7%bd%ae-theano-BwDwgdJukH\">\u914d\u7f6e Theano<\/h2>\n<p>\u5b89\u88dd\u5b8c\u6210\u5f8c\uff0c\u9700\u8981\u914d\u7f6e Theano \u4ee5\u4f7f\u7528 CUDA\u3002\u5275\u5efa\u4e00\u500b\u540d\u70ba .theanorc \u7684\u914d\u7f6e\u6587\u4ef6\uff1a<\/p>\n<pre><code>nano ~\/.theanorc<\/code><\/pre>\n<p>\u5728\u6587\u4ef6\u4e2d\u6dfb\u52a0\u4ee5\u4e0b\u5167\u5bb9\uff1a<\/p>\n<pre><code>[global]\ndevice = cuda\nfloatX = float32\n\n[nvcc]\nfastmath = True\n\n[blas]\nldflags = -lopenblas<\/code><\/pre>\n<h2 id=\"%e6%b8%ac%e8%a9%a6%e7%92%b0%e5%a2%83-BwDwgdJukH\">\u6e2c\u8a66\u74b0\u5883<\/h2>\n<p>\u70ba\u4e86\u78ba\u4fdd\u4e00\u5207\u6b63\u5e38\u904b\u884c\uff0c\u53ef\u4ee5\u5275\u5efa\u4e00\u500b\u7c21\u55ae\u7684 Theano \u6e2c\u8a66\u8173\u672c\uff1a<\/p>\n<pre><code>import theano\nimport theano.tensor as T\n\nx = T.dscalar('x')\ny = T.dscalar('y')\nz = x + y\n\nf = theano.function([x, y], z)\n\nprint(f(1, 2))  # \u61c9\u8a72\u8f38\u51fa 3.0<\/code><\/pre>\n<p>\u904b\u884c\u9019\u500b\u8173\u672c\uff0c\u5982\u679c\u4e00\u5207\u6b63\u5e38\uff0c\u4f60\u61c9\u8a72\u80fd\u5920\u770b\u5230\u6b63\u78ba\u7684\u8f38\u51fa\u3002<\/p>\n<h2 id=\"%e7%b8%bd%e7%b5%90-BwDwgdJukH\">\u7e3d\u7d50<\/h2>\n<p>\u672c\u6587\u4ecb\u7d39\u4e86\u5982\u4f55\u5728 Ubuntu 16.04 \u7cfb\u7d71\u4e0a\u642d\u5efa CUDA 8.0 \u548c Theano \u7684\u6df1\u5ea6\u5b78\u7fd2\u74b0\u5883\u3002\u9019\u4e00\u904e\u7a0b\u5305\u62ec\u5b89\u88dd NVIDIA \u9a45\u52d5\u7a0b\u5e8f\u3001CUDA \u5de5\u5177\u5305\u4ee5\u53ca Theano\uff0c\u4e26\u9032\u884c\u5fc5\u8981\u7684\u914d\u7f6e\u3002\u96a8\u8457\u6df1\u5ea6\u5b78\u7fd2\u7684\u666e\u53ca\uff0c\u64c1\u6709\u4e00\u500b\u9ad8\u6548\u7684\u958b\u767c\u74b0\u5883\u5c07\u6709\u52a9\u65bc\u7814\u7a76\u8005\u548c\u958b\u767c\u8005\u66f4\u597d\u5730\u9032\u884c\u5be6\u9a57\u548c\u958b\u767c\u3002<\/p>\n<p>\u5982\u679c\u4f60\u9700\u8981\u7a69\u5b9a\u7684 <a href=\"https:\/\/server.hk\">VPS<\/a> \u4f86\u652f\u6301\u4f60\u7684\u6df1\u5ea6\u5b78\u7fd2\u9805\u76ee\uff0cServer.HK \u63d0\u4f9b\u591a\u7a2e\u9078\u64c7\uff0c\u9069\u5408\u4e0d\u540c\u9700\u6c42\u7684\u7528\u6236\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn how to set up a deep learning environment with Ubuntu 16.04, CUDA 8.0, and Theano for efficient neural network 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-51409","post","type-post","status-publish","format-standard","hentry","category-setup-tutorials"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/51409","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=51409"}],"version-history":[{"count":1,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/51409\/revisions"}],"predecessor-version":[{"id":51410,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/51409\/revisions\/51410"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=51409"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=51409"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=51409"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}