From 2639abbe3ed3a774097cc90013a63c4d4eebf316 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 18 Oct 2017 08:03:18 +0000 Subject: [PATCH] Deploy to GitHub Pages: 3b8d36e515e0b4671f7b3716a14f70aa00825ff5 --- .../cross_compiling_for_android_cn.md.txt | 99 ++++++++++++--- .../cross_compiling_for_android_cn.html | 115 +++++++++++++++--- develop/doc_cn/searchindex.js | 2 +- 3 files changed, 185 insertions(+), 31 deletions(-) diff --git a/develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_android_cn.md.txt b/develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_android_cn.md.txt index 90dc84718c..1fc58c37cc 100644 --- a/develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_android_cn.md.txt +++ b/develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_android_cn.md.txt @@ -1,9 +1,46 @@ # 构建Android平台上的PaddlePaddle库 -用户可通过交叉编译的方式，在用户熟悉的开发平台（Linux，Mac OS X和Windows）上编译Android平台上适用的PaddlePaddle库。 +用户可通过如下两种方式，交叉编译Android平台上适用的PaddlePaddle库： +- 基于Docker容器的编译方式 +- 基于Linux交叉编译环境的编译方式 + +## 基于Docker容器的编译方式 +Docker能在所有主要操作系统（包括Linux，Mac OS X和Windows）上运行，因此，使用基于Docker容器的编译方式，用户可在自己熟悉的开发平台上编译Android平台上适用的PaddlePaddle库。 + +### 构建PaddlePaddle的Android开发镜像 +我们把PaddlePaddle的交叉编译环境打包成一个镜像，称为开发镜像，里面涵盖了交叉编译Android版PaddlePaddle库需要的所有编译工具。 + +```bash +$ git clone https://github.com/PaddlePaddle/Paddle.git +$ cd Paddle +$ docker build -t username/paddle-android:dev . -f Dockerfile.android +``` + +### 编译PaddlePaddle C-API库 +构建好开发镜像后，即可使用开发镜像来编译Android版PaddlePaddle C-API库。 +Android的Docker开发镜像向用户提供两个可配置的参数： + +| Argument | Optional Values | Default | +|-----------------|-------------------------|---------| +|`ANDROID_ABI` |`armeabi-v7a, arm64-v8a` | `armeabi-v7a` | +|`ANDROID_API` |`>= 21` | `21` | + +- 编译`armeabi-v7a`，`Android API 21`的PaddlePaddle库 +```bash +$ docker run -it --rm -v $PWD:/paddle -e "ANDROID_ABI=armeabi-v7a" -e "ANDROID_API=21" username/paddle-android:dev +``` + +- 编译`arm64-v8a`，`Android API 21`的PaddlePaddle库 +```bash +$ docker run -it --rm -v $PWD:/paddle -e "ANDROID_ABI=arm64-v8a" -e "ANDROID_API=21" username/paddle-android:dev +``` + +执行上述`docker run`命令时，容器默认执行[paddle/scripts/docker/build_android.sh](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/scripts/docker/build_android.sh)脚本。该脚本中记录了交叉编译Android版PaddlePaddle库常用的CMake配置，并且会根据`ANDROID_ABI`和`ANDROID_API`自动构建独立工具链、进行编译和安装。由于arm64架构要求Android API不小于21。因此当`ANDROID_ABI=arm64-v8a`，`ANDROID_API<21`时，Docker容器中将默认使用`Android API 21`的编译工具链。用户可以参考下文**配置交叉编译参数**章节，根据个人的需求修改定制Docker容器所执行的脚本。编译安装结束之后，PaddlePaddle的C-API库将被安装到`$PWD/install_android`目录，所依赖的第三方库同时也被安装到`$PWD/install_android/third_party`目录。 + +## 基于Linux交叉编译环境的编译方式 本文档将以Linux x86-64平台为例，介绍交叉编译Android平台上适用的PaddlePaddle库的方法和步骤。 -## 准备交叉编译环境 +### 准备交叉编译环境 从源码交叉编译PaddlePaddle，用户需要提前准备好交叉编译环境。Android平台上使用的C/C++交叉编译工具链为[Android NDK](https://developer.android.com/ndk/downloads/index.html?hl=zh-cn)，用户可自行前往下载预编译好的版本，也可通过以下命令获取： @@ -13,18 +50,27 @@ unzip -q android-ndk-r14b-linux-x86_64.zip ``` Android NDK中包含了所有Android API级别、所有架构（arm/arm64/x86/mips）需要用到的编译工具和系统库。用户可根据自己的编译目标架构、所需支持的最低Android API级别，构建[独立工具链](https://developer.android.google.cn/ndk/guides/standalone_toolchain.html?hl=zh-cn)。 -比如： + +- 构建`armeabi-v7a`、 `Android API 21`的独立工具链： ```bash your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh \ - --arch=arm --platform=android-21 --install-dir=your/path/to/my_standalone_toolchain + --arch=arm --platform=android-21 --install-dir=your/path/to/arm_standalone_toolchain ``` -此命令将在your/path/to/my_standalone_toolchain目录生成一套编译工具链，面向架构为32位ARM架构，支持的最小的Android API级别为21，使用的编译器为arm-linux-androideabi-gcc (GCC) 4.9。 +此命令将在`your/path/to/arm_standalone_toolchain`目录生成一套独立编译工具链，面向架构为32位ARM架构，支持的最小的Android API级别为21，支持编译器`arm-linux-androideabi-gcc (GCC) 4.9`和`clang 3.8`。 -注意：**PaddlePaddle要求使用的编译工具链所支持的Andoid API级别不小于21**。 +- 构建`arm64-v8a`、 `Android API 21`的独立工具链： +```bash +your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh \ + --arch=arm64 --platform=android-21 --install-dir=your/path/to/arm64_standalone_toolchain +``` -## 配置交叉编译参数 +此命令将在`your/path/to/arm64_standalone_toolchain`目录生成一套独立编译工具链，面向架构为64位ARM64架构，支持的最小Android API级别为21，支持编译器`arm-linux-androideabi-gcc (GCC) 4.9`和`clang 3.8`。 + +注意：**PaddlePaddle要求使用的编译工具链所支持的Android API级别不小于21**。 + +### 配置交叉编译参数 CMake系统对交叉编译提供了支持[cmake-toolchains](https://cmake.org/cmake/help/v3.0/manual/cmake-toolchains.7.html#cross-compiling)。为了简化cmake配置，PaddlePaddle为交叉编译提供了工具链配置文档[cmake/cross_compiling/android.cmake](https://github.com/PaddlePaddle/Paddle/blob/develop/cmake/cross_compiling/android.cmake)，以提供一些默认的编译器和编译参数相关配置。注意，从CMake 3.7版本开始，CMake官方对Android平台的交叉编译提供了通用的支持。PaddlePaddle若检测到用户使用的CMake版本不低于3.7时，将会将用户传进来的配置参数传递CMake系统，交由CMake系统本身来处理。有关参数配置的详细说明见[cmake-toolchains](https://cmake.org/cmake/help/v3.7/manual/cmake-toolchains.7.html#cross-compiling)。 @@ -36,32 +82,57 @@ CMake系统对交叉编译提供了支持[cmake-toolchains](https://cmake.org/cm Android平台可选配置参数： - `ANDROID_STANDALONE_TOOLCHAIN`，独立工具链所在的绝对路径，或者相对于构建目录的相对路径。PaddlePaddle的CMake系统将根据该值自动推导和设置需要使用的交叉编译器、sysroot、以及Android API级别；否则，用户需要在cmake时手动设置这些值。无默认值。 -- `ANDROID_ABI`，目标架构ABI。目前只支持`armeabi-v7a`，默认值为`armeabi-v7a`。 +- `ANDROID_TOOLCHAIN`，目标工具链。可设置`gcc/clang`，默认值为`clang`。 + - CMake 3.7以上，将会始终使用`clang`工具链；CMake 3.7以下，可设置`ANDROID_TOOLCHAIN=gcc`以使用`gcc`工具链。 + - Android官方提供的`clang`编译器要求系统支持`GLIBC 2.15`以上。 +- `ANDROID_ABI`，目标架构ABI。目前支持`armeabi-v7a`和`arm64-v8a`，默认值为`armeabi-v7a`。 - `ANDROID_NATIVE_API_LEVEL`，工具链的Android API级别。若没有显式设置，PaddlePaddle将根据`ANDROID_STANDALONE_TOOLCHAIN`的值自动推导得到。 -- `ANROID_ARM_MODE`，是否使用ARM模式。可设置`ON/OFF`，默认值为`ON`。 -- `ANDROID_ARM_NEON`，是否使用NEON指令。目前必须设置成`ON`，默认值为`ON`。 +- `ANROID_ARM_MODE`，是否使用ARM模式。 + - `ANDROID_ABI=armeabi-v7a`时，可设置`ON/OFF`，默认值为`ON`； + - `ANDROID_ABI=arm64-v8a`时，不需要设置。 +- `ANDROID_ARM_NEON`，是否使用NEON指令。 + - `ANDROID_ABI=armeabi-v7a`时，可设置`ON/OFF`，默认值为`ON`； + - `ANDROID_ABI=arm64-v8a`时，不需要设置。 其他配置参数： +- `USE_EIGEN_FOR_BLAS`，是否使用Eigen库进行矩阵计算。可设置`ON/OFF`，默认值为`OFF`。 - `HOST_C/CXX_COMPILER`，宿主机的C/C++编译器。在编译宿主机版protoc可执行文件和目标机版OpenBLAS库时需要用到。默认设置成环境变量`CC`的值；若环境变量`CC`没有设置，则设置成`cc`编译器。 -一种常用的cmake配置如下： +常用的cmake配置如下： ```bash cmake -DCMAKE_SYSTEM_NAME=Android \ - -DANDROID_STANDALONE_TOOLCHAIN=your/path/to/my_standalone_toolchain \ + -DANDROID_STANDALONE_TOOLCHAIN=your/path/to/arm_standalone_toolchain \ -DANDROID_ABI=armeabi-v7a \ -DANDROID_ARM_NEON=ON \ -DANDROID_ARM_MODE=ON \ + -DUSE_EIGEN_FOR_BLAS=ON \ -DCMAKE_INSTALL_PREFIX=your/path/to/install \ -DWITH_C_API=ON \ -DWITH_SWIG_PY=OFF \ .. ``` +``` +cmake -DCMAKE_SYSTEM_NAME=Android \ + -DANDROID_STANDALONE_TOOLCHAIN=your/path/to/arm64_standalone_toolchain \ + -DANDROID_ABI=arm64-v8a \ + -DUSE_EIGEN_FOR_BLAS=OFF \ + -DCMAKE_INSTALL_PREFIX=your/path/to/install \ + -DWITH_C_API=ON \ + -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的库的大小，可以设置`CMAKE_BUILD_TYPE`为`MinSizeRel`；若希望最快的执行速度，则可设置`CMAKE_BUILD_TYPE`为`Release`。亦可以通过手动设置`CMAKE_C/CXX_FLAGS_MINSIZEREL/RELEASE`来影响PaddlePaddle的编译过程。 -## 编译和安装 +**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` +- 使用`clang`编译工具链 +- `armeabi-v7a`时，设置`USE_EIGEN_BLAS=ON`，使用Eigen进行矩阵计算；`arm64-v8a`时，设置`USE_EIGEN_FOR_BLAS=OFF`，使用OpenBLAS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。 @@ -72,4 +143,4 @@ 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。 -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Android版本的库。自此，PaddlePaddle的已经安装完成，用户可将`your/path/to/install`目录下的生成文件用于深度学习相关Android App中，调用方法见C-API文档。 +执行完安装命令后，`your/path/to/install`目录中会包含`include`、`lib`和`third_party`目录，其中`include`中包含C-API的头文件，`lib`中包含若干个不同Android ABI的PaddlePaddle库，`third_party`中包含所依赖的所有第三方库。自此，PaddlePaddle的已经安装完成，用户可将`your/path/to/install`目录下的生成文件用于深度学习相关Android App中，调用方法见C-API文档。 diff --git a/develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html b/develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html index 2a1706facb..ab647afc9c 100644 --- a/develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html +++ b/develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html @@ -193,26 +193,77 @@

构建Android平台上的PaddlePaddle库

-

用户可通过交叉编译的方式，在用户熟悉的开发平台（Linux，Mac OS X和Windows）上编译Android平台上适用的PaddlePaddle库。 -本文档将以Linux x86-64平台为例，介绍交叉编译Android平台上适用的PaddlePaddle库的方法和步骤。

+

用户可通过如下两种方式，交叉编译Android平台上适用的PaddlePaddle库：

+ +
+

基于Docker容器的编译方式

+

Docker能在所有主要操作系统（包括Linux，Mac OS X和Windows）上运行，因此，使用基于Docker容器的编译方式，用户可在自己熟悉的开发平台上编译Android平台上适用的PaddlePaddle库。

+
+

构建PaddlePaddle的Android开发镜像

+

我们把PaddlePaddle的交叉编译环境打包成一个镜像，称为开发镜像，里面涵盖了交叉编译Android版PaddlePaddle库需要的所有编译工具。

+
$ git clone https://github.com/PaddlePaddle/Paddle.git
+$ cd Paddle
+$ docker build -t username/paddle-android:dev . -f Dockerfile.android
+
+
+
+
+

编译PaddlePaddle C-API库

+

构建好开发镜像后，即可使用开发镜像来编译Android版PaddlePaddle C-API库。 +Android的Docker开发镜像向用户提供两个可配置的参数：

+

| Argument | Optional Values | Default | +|—————–|————————-|———| +|ANDROID_ABI |armeabi-v7a, arm64-v8a | armeabi-v7a | +|ANDROID_API |>= 21 | 21 |

+
    +
  • 编译armeabi-v7a，Android API 21的PaddlePaddle库
    • +
+
$ docker run -it --rm -v $PWD:/paddle -e "ANDROID_ABI=armeabi-v7a" -e "ANDROID_API=21" username/paddle-android:dev
+
+
+
    +
  • 编译arm64-v8a，Android API 21的PaddlePaddle库
    • +
+
$ docker run -it --rm -v $PWD:/paddle -e "ANDROID_ABI=arm64-v8a" -e "ANDROID_API=21" username/paddle-android:dev
+
+
+

执行上述docker run命令时，容器默认执行paddle/scripts/docker/build_android.sh脚本。该脚本中记录了交叉编译Android版PaddlePaddle库常用的CMake配置，并且会根据ANDROID_ABI和ANDROID_API自动构建独立工具链、进行编译和安装。由于arm64架构要求Android API不小于21。因此当ANDROID_ABI=arm64-v8a，ANDROID_API<21时，Docker容器中将默认使用Android API 21的编译工具链。用户可以参考下文配置交叉编译参数章节，根据个人的需求修改定制Docker容器所执行的脚本。编译安装结束之后，PaddlePaddle的C-API库将被安装到$PWD/install_android目录，所依赖的第三方库同时也被安装到$PWD/install_android/third_party目录。

+
+
+
+

基于Linux交叉编译环境的编译方式

+

本文档将以Linux x86-64平台为例，介绍交叉编译Android平台上适用的PaddlePaddle库的方法和步骤。

-

准备交叉编译环境

+

准备交叉编译环境

从源码交叉编译PaddlePaddle，用户需要提前准备好交叉编译环境。Android平台上使用的C/C++交叉编译工具链为Android NDK，用户可自行前往下载预编译好的版本，也可通过以下命令获取：

wget -q https://dl.google.com/android/repository/android-ndk-r14b-linux-x86_64.zip
 unzip -q android-ndk-r14b-linux-x86_64.zip
-

Android NDK中包含了所有Android API级别、所有架构（arm/arm64/x86/mips）需要用到的编译工具和系统库。用户可根据自己的编译目标架构、所需支持的最低Android API级别，构建独立工具链。 -比如：

+

Android NDK中包含了所有Android API级别、所有架构（arm/arm64/x86/mips）需要用到的编译工具和系统库。用户可根据自己的编译目标架构、所需支持的最低Android API级别，构建独立工具链。

+
    +
  • 构建armeabi-v7a、 Android API 21的独立工具链：
    • +
your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh \
-        --arch=arm --platform=android-21 --install-dir=your/path/to/my_standalone_toolchain
+        --arch=arm --platform=android-21 --install-dir=your/path/to/arm_standalone_toolchain
-

此命令将在your/path/to/my_standalone_toolchain目录生成一套编译工具链，面向架构为32位ARM架构，支持的最小的Android API级别为21，使用的编译器为arm-linux-androideabi-gcc (GCC) 4.9。

-

注意：PaddlePaddle要求使用的编译工具链所支持的Andoid API级别不小于21。

+

此命令将在your/path/to/arm_standalone_toolchain目录生成一套独立编译工具链，面向架构为32位ARM架构，支持的最小的Android API级别为21，支持编译器arm-linux-androideabi-gcc (GCC) 4.9和clang 3.8。

+
    +
  • 构建arm64-v8a、 Android API 21的独立工具链：
    • +
+
your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh \
+        --arch=arm64 --platform=android-21 --install-dir=your/path/to/arm64_standalone_toolchain
+
+
+

此命令将在your/path/to/arm64_standalone_toolchain目录生成一套独立编译工具链，面向架构为64位ARM64架构，支持的最小Android API级别为21，支持编译器arm-linux-androideabi-gcc (GCC) 4.9和clang 3.8。

+

注意：PaddlePaddle要求使用的编译工具链所支持的Android API级别不小于21。

-

配置交叉编译参数

+

配置交叉编译参数

CMake系统对交叉编译提供了支持cmake-toolchains。为了简化cmake配置，PaddlePaddle为交叉编译提供了工具链配置文档cmake/cross_compiling/android.cmake，以提供一些默认的编译器和编译参数相关配置。注意，从CMake 3.7版本开始，CMake官方对Android平台的交叉编译提供了通用的支持。PaddlePaddle若检测到用户使用的CMake版本不低于3.7时，将会将用户传进来的配置参数传递CMake系统，交由CMake系统本身来处理。有关参数配置的详细说明见cmake-toolchains。

交叉编译Android版本的PaddlePaddle库时，有一些必须配置的参数：

    @@ -223,38 +274,70 @@ unzip -q android-ndk-r14b-linux-x86_64.zip

    Android平台可选配置参数：

    • ANDROID_STANDALONE_TOOLCHAIN，独立工具链所在的绝对路径，或者相对于构建目录的相对路径。PaddlePaddle的CMake系统将根据该值自动推导和设置需要使用的交叉编译器、sysroot、以及Android API级别；否则，用户需要在cmake时手动设置这些值。无默认值。
      • -
    • ANDROID_ABI，目标架构ABI。目前只支持armeabi-v7a，默认值为armeabi-v7a。
      • +
    • ANDROID_TOOLCHAIN，目标工具链。可设置gcc/clang，默认值为clang。
        +
      • CMake 3.7以上，将会始终使用clang工具链；CMake 3.7以下，可设置ANDROID_TOOLCHAIN=gcc以使用gcc工具链。
        • +
      • Android官方提供的clang编译器要求系统支持GLIBC 2.15以上。
        • +
      +
      • +
    • ANDROID_ABI，目标架构ABI。目前支持armeabi-v7a和arm64-v8a，默认值为armeabi-v7a。
    • ANDROID_NATIVE_API_LEVEL，工具链的Android API级别。若没有显式设置，PaddlePaddle将根据ANDROID_STANDALONE_TOOLCHAIN的值自动推导得到。
      • -
    • ANROID_ARM_MODE，是否使用ARM模式。可设置ON/OFF，默认值为ON。
      • -
    • ANDROID_ARM_NEON，是否使用NEON指令。目前必须设置成ON，默认值为ON。
      • +
    • ANROID_ARM_MODE，是否使用ARM模式。
        +
      • ANDROID_ABI=armeabi-v7a时，可设置ON/OFF，默认值为ON；
        • +
      • ANDROID_ABI=arm64-v8a时，不需要设置。
        • +
      +
      • +
    • ANDROID_ARM_NEON，是否使用NEON指令。
        +
      • ANDROID_ABI=armeabi-v7a时，可设置ON/OFF，默认值为ON；
        • +
      • ANDROID_ABI=arm64-v8a时，不需要设置。
        • +
      +

    其他配置参数：

      +
    • USE_EIGEN_FOR_BLAS，是否使用Eigen库进行矩阵计算。可设置ON/OFF，默认值为OFF。
    • HOST_C/CXX_COMPILER，宿主机的C/C++编译器。在编译宿主机版protoc可执行文件和目标机版OpenBLAS库时需要用到。默认设置成环境变量CC的值；若环境变量CC没有设置，则设置成cc编译器。
    -

    一种常用的cmake配置如下：

    +

    常用的cmake配置如下：

    cmake -DCMAKE_SYSTEM_NAME=Android \
-      -DANDROID_STANDALONE_TOOLCHAIN=your/path/to/my_standalone_toolchain \
+      -DANDROID_STANDALONE_TOOLCHAIN=your/path/to/arm_standalone_toolchain \
       -DANDROID_ABI=armeabi-v7a \
       -DANDROID_ARM_NEON=ON \
       -DANDROID_ARM_MODE=ON \
+      -DUSE_EIGEN_FOR_BLAS=ON \
       -DCMAKE_INSTALL_PREFIX=your/path/to/install \
       -DWITH_C_API=ON \
       -DWITH_SWIG_PY=OFF \
       ..
    +
    cmake -DCMAKE_SYSTEM_NAME=Android \
+      -DANDROID_STANDALONE_TOOLCHAIN=your/path/to/arm64_standalone_toolchain \
+      -DANDROID_ABI=arm64-v8a \
+      -DUSE_EIGEN_FOR_BLAS=OFF \
+      -DCMAKE_INSTALL_PREFIX=your/path/to/install \  
+      -DWITH_C_API=ON \
+      -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的库的大小，可以设置CMAKE_BUILD_TYPE为MinSizeRel；若希望最快的执行速度，则可设置CMAKE_BUILD_TYPE为Release。亦可以通过手动设置CMAKE_C/CXX_FLAGS_MINSIZEREL/RELEASE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
      • +
    • 使用clang编译工具链
      • +
    • armeabi-v7a时，设置USE_EIGEN_BLAS=ON，使用Eigen进行矩阵计算；arm64-v8a时，设置USE_EIGEN_FOR_BLAS=OFF，使用OpenBLAS进行矩阵计算
      • +
-

编译和安装

+

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Android版本的库。自此，PaddlePaddle的已经安装完成，用户可将your/path/to/install目录下的生成文件用于深度学习相关Android App中，调用方法见C-API文档。

+

执行完安装命令后，your/path/to/install目录中会包含include、lib和third_party目录，其中include中包含C-API的头文件，lib中包含若干个不同Android ABI的PaddlePaddle库，third_party中包含所依赖的所有第三方库。自此，PaddlePaddle的已经安装完成，用户可将your/path/to/install目录下的生成文件用于深度学习相关Android App中，调用方法见C-API文档。

+
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