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# 如何构建Raspberry pi下运行的PaddlePaddle
这里考虑的是交叉编译方式,即在Linux-x86环境下构建Raspberry pi下可运行的PaddlePaddle。
## 下载交叉编译环境
```
git clone https://github.com/raspberrypi/tools
```
如果host是x86-64环境,选用`arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64`下的作为编译工具。注意,需要系统glibc支持2.14以上。
## 编译第三方库
cmake编译PaddlePaddle时候会自动下载编译依赖的第三方库,不过openblas和protobuf最好还是在编译PaddlePaddle之前先编译好,这样可以保证编译PaddlePaddle的时候更加顺畅。
### 编译OpenBLAS
```
git clone https://github.com/xianyi/OpenBLAS.git
make TARGET=ARMV7 HOSTCC=gcc CC=arm-linux-gnueabihf-gcc NOFORTRAN=1 USE_THREAD=0
```
### 编译protobuf
```
git clone https://github.com/google/protobuf.git
git checkout 9f75c5aa851cd877fb0d93ccc31b8567a6706546
cmake ../protobuf/cmake \
-Dprotobuf_BUILD_TESTS=OFF \
-DCMAKE_CXX_COMPILER=arm-linux-gnueabihf-g++ \
-DCMAKE_C_COMPILER=arm-linux-gnueabihf-gcc \
-DCMAKE_POSITION_INDEPENDENT_CODE=ON \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_LIBDIR=lib
```
注意:这样编译出来的`libprotobuf.a`和`protoc`都是ARM版本的,而我们需要的是一个x86-64版本的`protoc`,所以需要用host gcc再编译一遍protobuf然后使用其中的`protoc`。
## 编译PaddlePaddle
cmake参数如下;其中`WITH_C_API`设置为ON,编译输出的output目录会中包含`include`和`lib`目录,其中`include`中包含CAPI的头文件,`lib`中包含一个ARM版本的库。另外,`CMAKE_BUILD_TYPE`设置为`MinSizeRel`可以减小编译的库的大小。
```
cmake .. -DWITH_GPU=OFF -DWITH_C_API=ON -DWITH_PYTHON=OFF -DWITH_SWIG_PY=OFF \
-DCMAKE_CXX_COMPILER:FILEPATH=arm-linux-gnueabihf-g++ \
-DCMAKE_C_COMPILER:FILEPATH=arm-linux-gnueabihf-gcc \
-DCMAKE_C_FLAGS="-mfpu=neon" \
-DCMAKE_CXX_FLAGS="-mfpu=neon" \
-DOPENBLAS_ROOT=openblas \
-DCMAKE_PREFIX_PATH=protobuf \
-DCMAKE_BUILD_TYPE=MinSizeRel
```
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<li>如何构建Raspberry pi下运行的PaddlePaddle</li>
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<div class="section" id="raspberry-pipaddlepaddle">
<span id="raspberry-pipaddlepaddle"></span><h1>如何构建Raspberry pi下运行的PaddlePaddle<a class="headerlink" href="#raspberry-pipaddlepaddle" title="Permalink to this headline"></a></h1>
<p>这里考虑的是交叉编译方式,即在Linux-x86环境下构建Raspberry pi下可运行的PaddlePaddle。</p>
<div class="section" id="">
<span id="id1"></span><h2>下载交叉编译环境<a class="headerlink" href="#" title="Permalink to this headline"></a></h2>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">raspberrypi</span><span class="o">/</span><span class="n">tools</span>
</pre></div>
</div>
<p>如果host是x86-64环境,选用<code class="docutils literal"><span class="pre">arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64</span></code>下的作为编译工具。注意,需要系统glibc支持2.14以上。</p>
</div>
<div class="section" id="">
<span id="id2"></span><h2>编译第三方库<a class="headerlink" href="#" title="Permalink to this headline"></a></h2>
<p>cmake编译PaddlePaddle时候会自动下载编译依赖的第三方库,不过openblas和protobuf最好还是在编译PaddlePaddle之前先编译好,这样可以保证编译PaddlePaddle的时候更加顺畅。</p>
<div class="section" id="openblas">
<span id="openblas"></span><h3>编译OpenBLAS<a class="headerlink" href="#openblas" title="Permalink to this headline"></a></h3>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">xianyi</span><span class="o">/</span><span class="n">OpenBLAS</span><span class="o">.</span><span class="n">git</span>
<span class="n">make</span> <span class="n">TARGET</span><span class="o">=</span><span class="n">ARMV7</span> <span class="n">HOSTCC</span><span class="o">=</span><span class="n">gcc</span> <span class="n">CC</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">gcc</span> <span class="n">NOFORTRAN</span><span class="o">=</span><span class="mi">1</span> <span class="n">USE_THREAD</span><span class="o">=</span><span class="mi">0</span>
</pre></div>
</div>
</div>
<div class="section" id="protobuf">
<span id="protobuf"></span><h3>编译protobuf<a class="headerlink" href="#protobuf" title="Permalink to this headline"></a></h3>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">google</span><span class="o">/</span><span class="n">protobuf</span><span class="o">.</span><span class="n">git</span>
<span class="n">git</span> <span class="n">checkout</span> <span class="mi">9</span><span class="n">f75c5aa851cd877fb0d93ccc31b8567a6706546</span>
<span class="n">cmake</span> <span class="o">../</span><span class="n">protobuf</span><span class="o">/</span><span class="n">cmake</span> \
<span class="o">-</span><span class="n">Dprotobuf_BUILD_TESTS</span><span class="o">=</span><span class="n">OFF</span> \
<span class="o">-</span><span class="n">DCMAKE_CXX_COMPILER</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">g</span><span class="o">++</span> \
<span class="o">-</span><span class="n">DCMAKE_C_COMPILER</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">gcc</span> \
<span class="o">-</span><span class="n">DCMAKE_POSITION_INDEPENDENT_CODE</span><span class="o">=</span><span class="n">ON</span> \
<span class="o">-</span><span class="n">DCMAKE_BUILD_TYPE</span><span class="o">=</span><span class="n">Release</span> \
<span class="o">-</span><span class="n">DCMAKE_INSTALL_LIBDIR</span><span class="o">=</span><span class="n">lib</span>
</pre></div>
</div>
<p>注意:这样编译出来的<code class="docutils literal"><span class="pre">libprotobuf.a</span></code><code class="docutils literal"><span class="pre">protoc</span></code>都是ARM版本的,而我们需要的是一个x86-64版本的<code class="docutils literal"><span class="pre">protoc</span></code>,所以需要用host gcc再编译一遍protobuf然后使用其中的<code class="docutils literal"><span class="pre">protoc</span></code></p>
</div>
</div>
<div class="section" id="paddlepaddle">
<span id="paddlepaddle"></span><h2>编译PaddlePaddle<a class="headerlink" href="#paddlepaddle" title="Permalink to this headline"></a></h2>
<p>cmake参数如下;其中<code class="docutils literal"><span class="pre">WITH_C_API</span></code>设置为ON,编译输出的output目录会中包含<code class="docutils literal"><span class="pre">include</span></code><code class="docutils literal"><span class="pre">lib</span></code>目录,其中<code class="docutils literal"><span class="pre">include</span></code>中包含CAPI的头文件,<code class="docutils literal"><span class="pre">lib</span></code>中包含一个ARM版本的库。另外,<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>设置为<code class="docutils literal"><span class="pre">MinSizeRel</span></code>可以减小编译的库的大小。</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">cmake</span> <span class="o">..</span> <span class="o">-</span><span class="n">DWITH_GPU</span><span class="o">=</span><span class="n">OFF</span> <span class="o">-</span><span class="n">DWITH_C_API</span><span class="o">=</span><span class="n">ON</span> <span class="o">-</span><span class="n">DWITH_PYTHON</span><span class="o">=</span><span class="n">OFF</span> <span class="o">-</span><span class="n">DWITH_SWIG_PY</span><span class="o">=</span><span class="n">OFF</span> \
<span class="o">-</span><span class="n">DCMAKE_CXX_COMPILER</span><span class="p">:</span><span class="n">FILEPATH</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">g</span><span class="o">++</span> \
<span class="o">-</span><span class="n">DCMAKE_C_COMPILER</span><span class="p">:</span><span class="n">FILEPATH</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">gcc</span> \
<span class="o">-</span><span class="n">DCMAKE_C_FLAGS</span><span class="o">=</span><span class="s2">&quot;-mfpu=neon&quot;</span> \
<span class="o">-</span><span class="n">DCMAKE_CXX_FLAGS</span><span class="o">=</span><span class="s2">&quot;-mfpu=neon&quot;</span> \
<span class="o">-</span><span class="n">DOPENBLAS_ROOT</span><span class="o">=</span><span class="n">openblas</span> \
<span class="o">-</span><span class="n">DCMAKE_PREFIX_PATH</span><span class="o">=</span><span class="n">protobuf</span> \
<span class="o">-</span><span class="n">DCMAKE_BUILD_TYPE</span><span class="o">=</span><span class="n">MinSizeRel</span>
</pre></div>
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因为 它太大了无法显示 source diff 。你可以改为 查看blob
# 如何构建Raspberry pi下运行的PaddlePaddle
这里考虑的是交叉编译方式,即在Linux-x86环境下构建Raspberry pi下可运行的PaddlePaddle。
## 下载交叉编译环境
```
git clone https://github.com/raspberrypi/tools
```
如果host是x86-64环境,选用`arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64`下的作为编译工具。注意,需要系统glibc支持2.14以上。
## 编译第三方库
cmake编译PaddlePaddle时候会自动下载编译依赖的第三方库,不过openblas和protobuf最好还是在编译PaddlePaddle之前先编译好,这样可以保证编译PaddlePaddle的时候更加顺畅。
### 编译OpenBLAS
```
git clone https://github.com/xianyi/OpenBLAS.git
make TARGET=ARMV7 HOSTCC=gcc CC=arm-linux-gnueabihf-gcc NOFORTRAN=1 USE_THREAD=0
```
### 编译protobuf
```
git clone https://github.com/google/protobuf.git
git checkout 9f75c5aa851cd877fb0d93ccc31b8567a6706546
cmake ../protobuf/cmake \
-Dprotobuf_BUILD_TESTS=OFF \
-DCMAKE_CXX_COMPILER=arm-linux-gnueabihf-g++ \
-DCMAKE_C_COMPILER=arm-linux-gnueabihf-gcc \
-DCMAKE_POSITION_INDEPENDENT_CODE=ON \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_LIBDIR=lib
```
注意:这样编译出来的`libprotobuf.a`和`protoc`都是ARM版本的,而我们需要的是一个x86-64版本的`protoc`,所以需要用host gcc再编译一遍protobuf然后使用其中的`protoc`。
## 编译PaddlePaddle
cmake参数如下;其中`WITH_C_API`设置为ON,编译输出的output目录会中包含`include`和`lib`目录,其中`include`中包含CAPI的头文件,`lib`中包含一个ARM版本的库。另外,`CMAKE_BUILD_TYPE`设置为`MinSizeRel`可以减小编译的库的大小。
```
cmake .. -DWITH_GPU=OFF -DWITH_C_API=ON -DWITH_PYTHON=OFF -DWITH_SWIG_PY=OFF \
-DCMAKE_CXX_COMPILER:FILEPATH=arm-linux-gnueabihf-g++ \
-DCMAKE_C_COMPILER:FILEPATH=arm-linux-gnueabihf-gcc \
-DCMAKE_C_FLAGS="-mfpu=neon" \
-DCMAKE_CXX_FLAGS="-mfpu=neon" \
-DOPENBLAS_ROOT=openblas \
-DCMAKE_PREFIX_PATH=protobuf \
-DCMAKE_BUILD_TYPE=MinSizeRel
```
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<li>如何构建Raspberry pi下运行的PaddlePaddle</li>
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<div class="section" id="raspberry-pipaddlepaddle">
<span id="raspberry-pipaddlepaddle"></span><h1>如何构建Raspberry pi下运行的PaddlePaddle<a class="headerlink" href="#raspberry-pipaddlepaddle" title="永久链接至标题"></a></h1>
<p>这里考虑的是交叉编译方式,即在Linux-x86环境下构建Raspberry pi下可运行的PaddlePaddle。</p>
<div class="section" id="">
<span id="id1"></span><h2>下载交叉编译环境<a class="headerlink" href="#" title="永久链接至标题"></a></h2>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">raspberrypi</span><span class="o">/</span><span class="n">tools</span>
</pre></div>
</div>
<p>如果host是x86-64环境,选用<code class="docutils literal"><span class="pre">arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64</span></code>下的作为编译工具。注意,需要系统glibc支持2.14以上。</p>
</div>
<div class="section" id="">
<span id="id2"></span><h2>编译第三方库<a class="headerlink" href="#" title="永久链接至标题"></a></h2>
<p>cmake编译PaddlePaddle时候会自动下载编译依赖的第三方库,不过openblas和protobuf最好还是在编译PaddlePaddle之前先编译好,这样可以保证编译PaddlePaddle的时候更加顺畅。</p>
<div class="section" id="openblas">
<span id="openblas"></span><h3>编译OpenBLAS<a class="headerlink" href="#openblas" title="永久链接至标题"></a></h3>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">xianyi</span><span class="o">/</span><span class="n">OpenBLAS</span><span class="o">.</span><span class="n">git</span>
<span class="n">make</span> <span class="n">TARGET</span><span class="o">=</span><span class="n">ARMV7</span> <span class="n">HOSTCC</span><span class="o">=</span><span class="n">gcc</span> <span class="n">CC</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">gcc</span> <span class="n">NOFORTRAN</span><span class="o">=</span><span class="mi">1</span> <span class="n">USE_THREAD</span><span class="o">=</span><span class="mi">0</span>
</pre></div>
</div>
</div>
<div class="section" id="protobuf">
<span id="protobuf"></span><h3>编译protobuf<a class="headerlink" href="#protobuf" title="永久链接至标题"></a></h3>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">google</span><span class="o">/</span><span class="n">protobuf</span><span class="o">.</span><span class="n">git</span>
<span class="n">git</span> <span class="n">checkout</span> <span class="mi">9</span><span class="n">f75c5aa851cd877fb0d93ccc31b8567a6706546</span>
<span class="n">cmake</span> <span class="o">../</span><span class="n">protobuf</span><span class="o">/</span><span class="n">cmake</span> \
<span class="o">-</span><span class="n">Dprotobuf_BUILD_TESTS</span><span class="o">=</span><span class="n">OFF</span> \
<span class="o">-</span><span class="n">DCMAKE_CXX_COMPILER</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">g</span><span class="o">++</span> \
<span class="o">-</span><span class="n">DCMAKE_C_COMPILER</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">gcc</span> \
<span class="o">-</span><span class="n">DCMAKE_POSITION_INDEPENDENT_CODE</span><span class="o">=</span><span class="n">ON</span> \
<span class="o">-</span><span class="n">DCMAKE_BUILD_TYPE</span><span class="o">=</span><span class="n">Release</span> \
<span class="o">-</span><span class="n">DCMAKE_INSTALL_LIBDIR</span><span class="o">=</span><span class="n">lib</span>
</pre></div>
</div>
<p>注意:这样编译出来的<code class="docutils literal"><span class="pre">libprotobuf.a</span></code><code class="docutils literal"><span class="pre">protoc</span></code>都是ARM版本的,而我们需要的是一个x86-64版本的<code class="docutils literal"><span class="pre">protoc</span></code>,所以需要用host gcc再编译一遍protobuf然后使用其中的<code class="docutils literal"><span class="pre">protoc</span></code></p>
</div>
</div>
<div class="section" id="paddlepaddle">
<span id="paddlepaddle"></span><h2>编译PaddlePaddle<a class="headerlink" href="#paddlepaddle" title="永久链接至标题"></a></h2>
<p>cmake参数如下;其中<code class="docutils literal"><span class="pre">WITH_C_API</span></code>设置为ON,编译输出的output目录会中包含<code class="docutils literal"><span class="pre">include</span></code><code class="docutils literal"><span class="pre">lib</span></code>目录,其中<code class="docutils literal"><span class="pre">include</span></code>中包含CAPI的头文件,<code class="docutils literal"><span class="pre">lib</span></code>中包含一个ARM版本的库。另外,<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>设置为<code class="docutils literal"><span class="pre">MinSizeRel</span></code>可以减小编译的库的大小。</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">cmake</span> <span class="o">..</span> <span class="o">-</span><span class="n">DWITH_GPU</span><span class="o">=</span><span class="n">OFF</span> <span class="o">-</span><span class="n">DWITH_C_API</span><span class="o">=</span><span class="n">ON</span> <span class="o">-</span><span class="n">DWITH_PYTHON</span><span class="o">=</span><span class="n">OFF</span> <span class="o">-</span><span class="n">DWITH_SWIG_PY</span><span class="o">=</span><span class="n">OFF</span> \
<span class="o">-</span><span class="n">DCMAKE_CXX_COMPILER</span><span class="p">:</span><span class="n">FILEPATH</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">g</span><span class="o">++</span> \
<span class="o">-</span><span class="n">DCMAKE_C_COMPILER</span><span class="p">:</span><span class="n">FILEPATH</span><span class="o">=</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">gcc</span> \
<span class="o">-</span><span class="n">DCMAKE_C_FLAGS</span><span class="o">=</span><span class="s2">&quot;-mfpu=neon&quot;</span> \
<span class="o">-</span><span class="n">DCMAKE_CXX_FLAGS</span><span class="o">=</span><span class="s2">&quot;-mfpu=neon&quot;</span> \
<span class="o">-</span><span class="n">DOPENBLAS_ROOT</span><span class="o">=</span><span class="n">openblas</span> \
<span class="o">-</span><span class="n">DCMAKE_PREFIX_PATH</span><span class="o">=</span><span class="n">protobuf</span> \
<span class="o">-</span><span class="n">DCMAKE_BUILD_TYPE</span><span class="o">=</span><span class="n">MinSizeRel</span>
</pre></div>
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