提交 585bb833 编写于 作者: T Travis CI

Deploy to GitHub Pages: 32a5d760

上级 1daad13b
......@@ -210,7 +210,7 @@ compiling tools and dependencies.
.. code-block:: bash
docker build -t paddle:prod -f build/Dockerfile .
docker build -t paddle:prod -f build/Dockerfile ./build
The above command will generate the production image by copying the compiled PaddlePaddle program into the image.
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......@@ -381,7 +381,7 @@ docker build -t paddle:dev .
</div>
<p>The above command will compile PaddlePaddle and create a Dockerfile for building production image. All the generated files are in the build directory. &#8220;WITH_GPU&#8221; controls if the generated production image supports GPU. &#8220;WITH_AVX&#8221; controls if the generated production image supports AVX. &#8220;WITH_TEST&#8221; controls if the unit test will be generated.</p>
<p>The second step is to run:</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>docker build -t paddle:prod -f build/Dockerfile .
<div class="highlight-bash"><div class="highlight"><pre><span></span>docker build -t paddle:prod -f build/Dockerfile ./build
</pre></div>
</div>
<p>The above command will generate the production image by copying the compiled PaddlePaddle program into the image.</p>
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......@@ -155,7 +155,7 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Node
.. code-block:: bash
docker build -t paddle:prod -f build/Dockerfile .
docker build -t paddle:prod -f build/Dockerfile ./build
以上命令会按照生成的Dockerfile把生成的程序拷贝到生产镜像中并做相应的配置,最终生成名为paddle:prod的生产镜像。
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......@@ -335,7 +335,7 @@ docker build -t paddle:dev .
</div>
<p>以上命令会编译PaddlePaddle,生成运行程序,以及生成创建生产镜像的Dockerfile。所有生成的的文件都在build目录下。“WITH_GPU”控制生成的生产镜像是否支持GPU,“WITH_AVX”控制生成的生产镜像是否支持AVX,”WITH_TEST“控制是否生成单元测试。</p>
<p>第二步是运行:</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>docker build -t paddle:prod -f build/Dockerfile .
<div class="highlight-bash"><div class="highlight"><pre><span></span>docker build -t paddle:prod -f build/Dockerfile ./build
</pre></div>
</div>
<p>以上命令会按照生成的Dockerfile把生成的程序拷贝到生产镜像中并做相应的配置,最终生成名为paddle:prod的生产镜像。</p>
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