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develop/doc/_sources/howto/cross_compiling/cross_compiling_for_raspberry_en.md.txt
浏览文件 @ 1e116208
...@@ -44,7 +44,7 @@ cmake -DCMAKE_SYSTEM_NAME=RPi \ ...@@ -44,7 +44,7 @@ cmake -DCMAKE_SYSTEM_NAME=RPi \
.. ..
``` ```
To build the inference library, please set the argument WITH_API to ON: `WITH_C_API=ON`. To build the inference library, please set the argument WITH\_C\_API to ON: `WITH_C_API=ON`.
You can add more arguments. For example, to minimize the size of the generated inference library, you may use `CMAKE_BUILD_TYPE=MinSizeRel`. For performance optimization, you may use `CMAKE_BUILD_TYPE=Release`. You can add more arguments. For example, to minimize the size of the generated inference library, you may use `CMAKE_BUILD_TYPE=MinSizeRel`. For performance optimization, you may use `CMAKE_BUILD_TYPE=Release`.
......
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...@@ -214,7 +214,7 @@ ...@@ -214,7 +214,7 @@
<span class="o">..</span> <span class="o">..</span>
</pre></div> </pre></div>
</div> </div>
<p>To build the inference library, please set the argument WITH_API to ON: <code class="docutils literal"><span class="pre">WITH_C_API=ON</span></code>.</p> <p>To build the inference library, please set the argument WITH_C_API to ON: <code class="docutils literal"><span class="pre">WITH_C_API=ON</span></code>.</p>
<p>You can add more arguments. For example, to minimize the size of the generated inference library, you may use <code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE=MinSizeRel</span></code>. For performance optimization, you may use <code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE=Release</span></code>.</p> <p>You can add more arguments. For example, to minimize the size of the generated inference library, you may use <code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE=MinSizeRel</span></code>. For performance optimization, you may use <code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE=Release</span></code>.</p>
</div> </div>
<div class="section" id="build-and-install"> <div class="section" id="build-and-install">
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develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_ios_cn.md.txt 0 → 100644
浏览文件 @ 1e116208
# 构建iOS平台上的PaddlePaddle库
交叉编译iOS平台上适用的PaddlePaddle库，需要在MacOS系统上进行。本文的将介绍在MacOS上，从源码交叉编译iOS平台上适用的PaddlePaddle库。
## 准备交叉编译环境
Apple官方为iOS开发提供了完整的交叉编译工具和集成开发环境，用户从App Store下载安装Xcode即可。也可自行前往官网下载，[Xcode](https://developer.apple.com/cn/xcode/)。安装完成之后，可在命令行执行`xcodebuild -version`，判断是否安装成功。
```bash
$ xcodebuild -version
Xcode 9.0
Build version 9A235
```
## 配置交叉编译参数
PaddlePaddle为交叉编译提供了工具链配置文档[cmake/cross_compiling/ios.cmake](https://github.com/PaddlePaddle/Paddle/blob/develop/cmake/cross_compiling/ios.cmake)，以提供一些默认的编译器和编译参数配置。
交叉编译iOS版本的PaddlePaddle库时，有一些必须配置的参数：
- `CMAKE_SYSTEM_NAME`，CMake编译的目标平台，必须设置为`iOS`。在设置`CMAKE_SYSTEM_NAME=iOS`后，PaddlePaddle的CMake系统会自动编译所有的第三方依赖库，并且强制设置一些PaddlePaddle参数的值（`WITH_C_API=ON`、`WITH_GPU=OFF`、`WITH_AVX=OFF`、`WITH_PYTHON=OFF`、`WITH_RDMA=OFF`）。
- `WITH_C_API`，是否编译C-API预测库，必须设置为ON。在iOS平台上只支持使用C-API来预测。
- `WITH_SWIG_PY`，必须设置为ON。在iOS平台上不支持通过swig调用来训练或者预测。
iOS平台可选配置参数：
- `IOS_PLATFORM`，可设置为`OS/SIMULATOR`，默认值为`OS`。
- `OS`，构建目标为`arm`架构的iPhone或者iPad等物理设备。
- `SIMULATOR`，构建目标为`x86`架构的模拟器平台。
- `IOS_ARCH`，目标架构。针对不同的`IOS_PLATFORM`，可设置的目标架构如下表所示：
| IOS_PLATFORM | IOS_ARCH |
|--------------|----------------------|
| OS | armv7, armv7s, arm64 (默认) |
| SIMULATOR | i386, x86_64 (默认) |
- `IOS_DEPLOYMENT_TARGET`，最小的iOS部署版本，默认值为`7.0`。
- `IOS_ENABLE_BITCODE`，是否使能[Bitcode](https://developer.apple.com/library/content/documentation/IDEs/Conceptual/AppDistributionGuide/AppThinning/AppThinning.html#//apple_ref/doc/uid/TP40012582-CH35-SW3)，可设置`ON/OFF`，默认值为`ON`。
- `IOS_USE_VECLIB_FOR_BLAS`，是否使用[vecLib](https://developer.apple.com/documentation/accelerate/veclib)框架进行BLAS矩阵计算，可设置`ON/OFF`，默认值为`OFF`。
- `IOS_DEVELOPMENT_ROOT`，`Developer`目录，可显式指定为`/path/to/platform/Developer`。若未显式指定，PaddlePaddle将会根据`IOS_PLATFORM`自动选择`Xcode`对应`platform`的`Developer`目录。
- `IOS_SDK_ROOT`，所使用`SDK`的根目录，可显式指定为`/path/to/platform/Developer/SDKs/SDK`。若未显式指定，PaddlePaddle将会自动选择`IOS_DEVELOPMENT_ROOT`目录下最新的`SDK`版本。
其他配置参数：
- `USE_EIGEN_FOR_BLAS`，是否使用Eigen库进行矩阵计算，在`IOS_USE_VECLIB_FOR_BLAS=OFF`时有效。可设置`ON/OFF`，默认值为`OFF`。
- `HOST_C/CXX_COMPILER`，宿主机的C/C++编译器。默认值为环境变量`CC/CXX`的值；若环境变量`CC/CXX`未设置，则使用`cc/c++`编译器。
常用的cmake配置如下：
```bash
cmake -DCMAKE_SYSTEM_NAME=iOS \
-DIOS_PLATFORM=OS \
-DIOS_ARCH="arm64" \
-DIOS_ENABLE_BITCODE=ON \
-DIOS_USE_VECLIB_FOR_BLAS=ON \
-DCMAKE_INSTALL_PREFIX=your/path/to/install \
-DWITH_C_API=ON \
-DWITH_TESTING=OFF \
-DWITH_SWIG_PY=OFF \
..
```
```bash
cmake -DCMAKE_SYSTEM_NAME=iOS \
-DIOS_PLATFORM=SIMULATOR \
-DIOS_ARCH="x86_64" \
-DIOS_USE_VECLIB_FOR_BLAS=ON \
-DCMAKE_INSTALL_PREFIX=your/path/to/install \
-DWITH_C_API=ON \
-DWITH_TESTING=OFF \
-DWITH_SWIG_PY=OFF \
..
```
用户还可根据自己的需求设置其他编译参数。比如希望最小化生成库的大小，可以设置`CMAKE_BUILD_TYPE`为`MinSizeRel`；若希望得到最快的执行速度，则可设置`CMAKE_BUILD_TYPE`为`Release`。亦可以通过手动设置`CMAKE_C/CXX_FLAGS`来影响PaddlePaddle的编译过程。
**性能TIPS**，为了达到最快的计算速度，在CMake参数配置上，有以下建议：
- 设置`CMAKE_BUILD_TYPE`为`Release`
- 设置`IOS_USE_VECLIB_FOR_BLAS=ON`，调用`vecLib`框架提供的BLAS函数进行矩阵计算。
## 编译和安装
CMake配置完成后，执行以下命令，PaddlePaddle将自动下载和编译所有第三方依赖库、编译和安装PaddlePaddle预测库。
```
$ make
$ make install
```
注意：如果你曾在源码目录下编译过其他平台的PaddlePaddle库，请先使用`rm -rf`命令删除`third_party`目录和`build`目录，以确保所有的第三方依赖库和PaddlePaddle代码都是针对新的CMake配置重新编译的。
执行完安装命令后，`your/path/to/install`目录中会包含以下内容：
- `include`目录，其中包含所有C-API的头文件
- `lib`目录，其中包含PaddlePaddle的C-API静态库
- `third_party`目录，其中包含所依赖的所有第三方库
注意，不同架构的PaddlePaddle库建议安装到不同的目录下，然后使用`lipo`工具将多个静态库合并成一个支持多个架构的fat库。
自此，PaddlePaddle库已经安装完成，用户可将合成的fat库用于深度学习相关的iOS App中，调用方法见C-API文档。
develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_raspberry_cn.md.txt
浏览文件 @ 1e116208
...@@ -59,4 +59,4 @@ make install ...@@ -59,4 +59,4 @@ make install
注意：如果你曾经在源码目录下编译过其他平台的PaddlePaddle库，请先使用`rm -rf`命令删除`third_party`目录和`build`目录，以确保所有的第三方依赖库和PaddlePaddle代码都是针对新的CMake配置重新编译的。 注意：如果你曾经在源码目录下编译过其他平台的PaddlePaddle库，请先使用`rm -rf`命令删除`third_party`目录和`build`目录，以确保所有的第三方依赖库和PaddlePaddle代码都是针对新的CMake配置重新编译的。
执行完安装命令后，，`your/path/to/install`目录中会包含`include`和`lib`目录，其中`include`中包含C-API的头文件，`lib`中包含一个Raspberry Pi版本的库。 执行完安装命令后，`your/path/to/install`目录中会包含`include`和`lib`目录，其中`include`中包含C-API的头文件，`lib`中包含一个Raspberry Pi版本的库。
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<div class="section" id="iospaddlepaddle">
<span id="iospaddlepaddle"></span><h1>构建iOS平台上的PaddlePaddle库<a class="headerlink" href="#iospaddlepaddle" title="永久链接至标题"></a></h1>
<p>交叉编译iOS平台上适用的PaddlePaddle库，需要在MacOS系统上进行。本文的将介绍在MacOS上，从源码交叉编译iOS平台上适用的PaddlePaddle库。</p>
<div class="section" id="">
<span id="id1"></span><h2>准备交叉编译环境<a class="headerlink" href="#" title="永久链接至标题"></a></h2>
<p>Apple官方为iOS开发提供了完整的交叉编译工具和集成开发环境，用户从App Store下载安装Xcode即可。也可自行前往官网下载，<a class="reference external" href="https://developer.apple.com/cn/xcode/">Xcode</a>。安装完成之后，可在命令行执行<code class="docutils literal"><span class="pre">xcodebuild</span> <span class="pre">-version</span></code>，判断是否安装成功。</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>$ xcodebuild -version
Xcode <span class="m">9</span>.0
Build version 9A235
</pre></div>
</div>
</div>
<div class="section" id="">
<span id="id2"></span><h2>配置交叉编译参数<a class="headerlink" href="#" title="永久链接至标题"></a></h2>
<p>PaddlePaddle为交叉编译提供了工具链配置文档<a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/cmake/cross_compiling/ios.cmake">cmake/cross_compiling/ios.cmake</a>，以提供一些默认的编译器和编译参数配置。</p>
<p>交叉编译iOS版本的PaddlePaddle库时，有一些必须配置的参数：</p>
<ul class="simple">
<li><code class="docutils literal"><span class="pre">CMAKE_SYSTEM_NAME</span></code>，CMake编译的目标平台，必须设置为<code class="docutils literal"><span class="pre">iOS</span></code>。在设置<code class="docutils literal"><span class="pre">CMAKE_SYSTEM_NAME=iOS</span></code>后，PaddlePaddle的CMake系统会自动编译所有的第三方依赖库，并且强制设置一些PaddlePaddle参数的值（<code class="docutils literal"><span class="pre">WITH_C_API=ON</span></code>、<code class="docutils literal"><span class="pre">WITH_GPU=OFF</span></code>、<code class="docutils literal"><span class="pre">WITH_AVX=OFF</span></code>、<code class="docutils literal"><span class="pre">WITH_PYTHON=OFF</span></code>、<code class="docutils literal"><span class="pre">WITH_RDMA=OFF</span></code>）。</li>
<li><code class="docutils literal"><span class="pre">WITH_C_API</span></code>，是否编译C-API预测库，必须设置为ON。在iOS平台上只支持使用C-API来预测。</li>
<li><code class="docutils literal"><span class="pre">WITH_SWIG_PY</span></code>，必须设置为ON。在iOS平台上不支持通过swig调用来训练或者预测。</li>
</ul>
<p>iOS平台可选配置参数：</p>
<ul>
<li><p class="first"><code class="docutils literal"><span class="pre">IOS_PLATFORM</span></code>，可设置为<code class="docutils literal"><span class="pre">OS/SIMULATOR</span></code>，默认值为<code class="docutils literal"><span class="pre">OS</span></code>。</p>
<ul class="simple">
<li><code class="docutils literal"><span class="pre">OS</span></code>，构建目标为<code class="docutils literal"><span class="pre">arm</span></code>架构的iPhone或者iPad等物理设备。</li>
<li><code class="docutils literal"><span class="pre">SIMULATOR</span></code>，构建目标为<code class="docutils literal"><span class="pre">x86</span></code>架构的模拟器平台。</li>
</ul>
</li>
<li><p class="first"><code class="docutils literal"><span class="pre">IOS_ARCH</span></code>，目标架构。针对不同的<code class="docutils literal"><span class="pre">IOS_PLATFORM</span></code>，可设置的目标架构如下表所示：</p>
<p>| IOS_PLATFORM | IOS_ARCH |
|&#8212;&#8212;&#8212;&#8212;&#8211;|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-|
| OS | armv7, armv7s, arm64 (默认) |
| SIMULATOR | i386, x86_64 (默认) |</p>
</li>
<li><p class="first"><code class="docutils literal"><span class="pre">IOS_DEPLOYMENT_TARGET</span></code>，最小的iOS部署版本，默认值为<code class="docutils literal"><span class="pre">7.0</span></code>。</p>
</li>
<li><p class="first"><code class="docutils literal"><span class="pre">IOS_ENABLE_BITCODE</span></code>，是否使能<a class="reference external" href="https://developer.apple.com/library/content/documentation/IDEs/Conceptual/AppDistributionGuide/AppThinning/AppThinning.html#//apple_ref/doc/uid/TP40012582-CH35-SW3">Bitcode</a>，可设置<code class="docutils literal"><span class="pre">ON/OFF</span></code>，默认值为<code class="docutils literal"><span class="pre">ON</span></code>。</p>
</li>
<li><p class="first"><code class="docutils literal"><span class="pre">IOS_USE_VECLIB_FOR_BLAS</span></code>，是否使用<a class="reference external" href="https://developer.apple.com/documentation/accelerate/veclib">vecLib</a>框架进行BLAS矩阵计算，可设置<code class="docutils literal"><span class="pre">ON/OFF</span></code>，默认值为<code class="docutils literal"><span class="pre">OFF</span></code>。</p>
</li>
<li><p class="first"><code class="docutils literal"><span class="pre">IOS_DEVELOPMENT_ROOT</span></code>，<code class="docutils literal"><span class="pre">Developer</span></code>目录，可显式指定为<code class="docutils literal"><span class="pre">/path/to/platform/Developer</span></code>。若未显式指定，PaddlePaddle将会根据<code class="docutils literal"><span class="pre">IOS_PLATFORM</span></code>自动选择<code class="docutils literal"><span class="pre">Xcode</span></code>对应<code class="docutils literal"><span class="pre">platform</span></code>的<code class="docutils literal"><span class="pre">Developer</span></code>目录。</p>
</li>
<li><p class="first"><code class="docutils literal"><span class="pre">IOS_SDK_ROOT</span></code>，所使用<code class="docutils literal"><span class="pre">SDK</span></code>的根目录，可显式指定为<code class="docutils literal"><span class="pre">/path/to/platform/Developer/SDKs/SDK</span></code>。若未显式指定，PaddlePaddle将会自动选择<code class="docutils literal"><span class="pre">IOS_DEVELOPMENT_ROOT</span></code>目录下最新的<code class="docutils literal"><span class="pre">SDK</span></code>版本。</p>
</li>
</ul>
<p>其他配置参数：</p>
<ul class="simple">
<li><code class="docutils literal"><span class="pre">USE_EIGEN_FOR_BLAS</span></code>，是否使用Eigen库进行矩阵计算，在<code class="docutils literal"><span class="pre">IOS_USE_VECLIB_FOR_BLAS=OFF</span></code>时有效。可设置<code class="docutils literal"><span class="pre">ON/OFF</span></code>，默认值为<code class="docutils literal"><span class="pre">OFF</span></code>。</li>
<li><code class="docutils literal"><span class="pre">HOST_C/CXX_COMPILER</span></code>，宿主机的C/C++编译器。默认值为环境变量<code class="docutils literal"><span class="pre">CC/CXX</span></code>的值；若环境变量<code class="docutils literal"><span class="pre">CC/CXX</span></code>未设置，则使用<code class="docutils literal"><span class="pre">cc/c++</span></code>编译器。</li>
</ul>
<p>常用的cmake配置如下：</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>cmake -DCMAKE_SYSTEM_NAME<span class="o">=</span>iOS <span class="se">\</span>
-DIOS_PLATFORM<span class="o">=</span>OS <span class="se">\</span>
-DIOS_ARCH<span class="o">=</span><span class="s2">&quot;arm64&quot;</span> <span class="se">\</span>
-DIOS_ENABLE_BITCODE<span class="o">=</span>ON <span class="se">\</span>
-DIOS_USE_VECLIB_FOR_BLAS<span class="o">=</span>ON <span class="se">\</span>
-DCMAKE_INSTALL_PREFIX<span class="o">=</span>your/path/to/install <span class="se">\</span>
-DWITH_C_API<span class="o">=</span>ON <span class="se">\</span>
-DWITH_TESTING<span class="o">=</span>OFF <span class="se">\</span>
-DWITH_SWIG_PY<span class="o">=</span>OFF <span class="se">\</span>
..
</pre></div>
</div>
<div class="highlight-bash"><div class="highlight"><pre><span></span>cmake -DCMAKE_SYSTEM_NAME<span class="o">=</span>iOS <span class="se">\</span>
-DIOS_PLATFORM<span class="o">=</span>SIMULATOR <span class="se">\</span>
-DIOS_ARCH<span class="o">=</span><span class="s2">&quot;x86_64&quot;</span> <span class="se">\</span>
-DIOS_USE_VECLIB_FOR_BLAS<span class="o">=</span>ON <span class="se">\</span>
-DCMAKE_INSTALL_PREFIX<span class="o">=</span>your/path/to/install <span class="se">\</span>
-DWITH_C_API<span class="o">=</span>ON <span class="se">\</span>
-DWITH_TESTING<span class="o">=</span>OFF <span class="se">\</span>
-DWITH_SWIG_PY<span class="o">=</span>OFF <span class="se">\</span>
..
</pre></div>
</div>
<p>用户还可根据自己的需求设置其他编译参数。比如希望最小化生成库的大小，可以设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">MinSizeRel</span></code>；若希望得到最快的执行速度，则可设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">Release</span></code>。亦可以通过手动设置<code class="docutils literal"><span class="pre">CMAKE_C/CXX_FLAGS</span></code>来影响PaddlePaddle的编译过程。</p>
<p><strong>性能TIPS</strong>，为了达到最快的计算速度，在CMake参数配置上，有以下建议：</p>
<ul class="simple">
<li>设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">Release</span></code></li>
<li>设置<code class="docutils literal"><span class="pre">IOS_USE_VECLIB_FOR_BLAS=ON</span></code>，调用<code class="docutils literal"><span class="pre">vecLib</span></code>框架提供的BLAS函数进行矩阵计算。</li>
</ul>
</div>
<div class="section" id="">
<span id="id3"></span><h2>编译和安装<a class="headerlink" href="#" title="永久链接至标题"></a></h2>
<p>CMake配置完成后，执行以下命令，PaddlePaddle将自动下载和编译所有第三方依赖库、编译和安装PaddlePaddle预测库。</p>
<div class="highlight-default"><div class="highlight"><pre><span></span>$ make
$ make install
</pre></div>
</div>
<p>注意：如果你曾在源码目录下编译过其他平台的PaddlePaddle库，请先使用<code class="docutils literal"><span class="pre">rm</span> <span class="pre">-rf</span></code>命令删除<code class="docutils literal"><span class="pre">third_party</span></code>目录和<code class="docutils literal"><span class="pre">build</span></code>目录，以确保所有的第三方依赖库和PaddlePaddle代码都是针对新的CMake配置重新编译的。</p>
<p>执行完安装命令后，<code class="docutils literal"><span class="pre">your/path/to/install</span></code>目录中会包含以下内容：</p>
<ul class="simple">
<li><code class="docutils literal"><span class="pre">include</span></code>目录，其中包含所有C-API的头文件</li>
<li><code class="docutils literal"><span class="pre">lib</span></code>目录，其中包含PaddlePaddle的C-API静态库</li>
<li><code class="docutils literal"><span class="pre">third_party</span></code>目录，其中包含所依赖的所有第三方库</li>
</ul>
<p>注意，不同架构的PaddlePaddle库建议安装到不同的目录下，然后使用<code class="docutils literal"><span class="pre">lipo</span></code>工具将多个静态库合并成一个支持多个架构的fat库。</p>
<p>自此，PaddlePaddle库已经安装完成，用户可将合成的fat库用于深度学习相关的iOS App中，调用方法见C-API文档。</p>
</div>
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...@@ -238,7 +238,7 @@ make install ...@@ -238,7 +238,7 @@ make install
</pre></div> </pre></div>
</div> </div>
<p>注意：如果你曾经在源码目录下编译过其他平台的PaddlePaddle库，请先使用<code class="docutils literal"><span class="pre">rm</span> <span class="pre">-rf</span></code>命令删除<code class="docutils literal"><span class="pre">third_party</span></code>目录和<code class="docutils literal"><span class="pre">build</span></code>目录，以确保所有的第三方依赖库和PaddlePaddle代码都是针对新的CMake配置重新编译的。</p> <p>注意：如果你曾经在源码目录下编译过其他平台的PaddlePaddle库，请先使用<code class="docutils literal"><span class="pre">rm</span> <span class="pre">-rf</span></code>命令删除<code class="docutils literal"><span class="pre">third_party</span></code>目录和<code class="docutils literal"><span class="pre">build</span></code>目录，以确保所有的第三方依赖库和PaddlePaddle代码都是针对新的CMake配置重新编译的。</p>
<p>执行完安装命令后，，<code class="docutils literal"><span class="pre">your/path/to/install</span></code>目录中会包含<code class="docutils literal"><span class="pre">include</span></code>和<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C-API的头文件，<code class="docutils literal"><span class="pre">lib</span></code>中包含一个Raspberry Pi版本的库。</p> <p>执行完安装命令后，<code class="docutils literal"><span class="pre">your/path/to/install</span></code>目录中会包含<code class="docutils literal"><span class="pre">include</span></code>和<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C-API的头文件，<code class="docutils literal"><span class="pre">lib</span></code>中包含一个Raspberry Pi版本的库。</p>
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