From 7b56a1b31156c208bbe5ca223d2f715f4c18bf89 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 17 May 2017 23:34:38 +0000 Subject: [PATCH] Deploy to GitHub Pages: 3093bb80125de0fcf79302f3873a9595ed08cda5 --- .../raspberry/build_for_raspberry.md.txt | 47 --- .../howto/raspberry/build_for_raspberry.html | 287 ---------------- develop/doc/objects.inv | Bin 2274 -> 2219 bytes develop/doc/searchindex.js | 2 +- .../cross_compiling_for_android_cn.md.txt | 75 +++++ .../cross_compiling_for_raspberry_cn.md.txt | 65 ++++ .../raspberry/build_for_raspberry.md.txt | 47 --- .../cross_compiling_for_android_cn.html | 310 ++++++++++++++++++ .../cross_compiling_for_raspberry_cn.html} | 84 ++--- develop/doc_cn/objects.inv | Bin 2661 -> 2695 bytes develop/doc_cn/searchindex.js | 2 +- 11 files changed, 496 insertions(+), 423 deletions(-) delete mode 100644 develop/doc/_sources/howto/raspberry/build_for_raspberry.md.txt delete mode 100644 develop/doc/howto/raspberry/build_for_raspberry.html create mode 100644 develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_android_cn.md.txt create mode 100644 develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_raspberry_cn.md.txt delete mode 100644 develop/doc_cn/_sources/howto/raspberry/build_for_raspberry.md.txt create mode 100644 develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html rename develop/doc_cn/howto/{raspberry/build_for_raspberry.html => cross_compiling/cross_compiling_for_raspberry_cn.html} (53%) diff --git a/develop/doc/_sources/howto/raspberry/build_for_raspberry.md.txt b/develop/doc/_sources/howto/raspberry/build_for_raspberry.md.txt deleted file mode 100644 index 4a98aba8f2a..00000000000 --- a/develop/doc/_sources/howto/raspberry/build_for_raspberry.md.txt +++ /dev/null @@ -1,47 +0,0 @@ -# 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 -``` diff --git a/develop/doc/howto/raspberry/build_for_raspberry.html b/develop/doc/howto/raspberry/build_for_raspberry.html deleted file mode 100644 index 3ebff7cd2c7..00000000000 --- a/develop/doc/howto/raspberry/build_for_raspberry.html +++ /dev/null @@ -1,287 +0,0 @@ - - - - - - - - - - - 如何构建Raspberry pi下运行的PaddlePaddle — PaddlePaddle documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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  • 如何构建Raspberry pi下运行的PaddlePaddle
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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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- © Copyright 2016, PaddlePaddle developers. - -

-
- Built with Sphinx using a theme provided by Read the Docs. - -
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\ No newline at end of file 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 new file mode 100644 index 00000000000..90dc84718c9 --- /dev/null +++ b/develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_android_cn.md.txt @@ -0,0 +1,75 @@ +# 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。 + +## 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： + +```bash +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](https://developer.android.google.cn/ndk/guides/standalone_toolchain.html?hl=zh-cn)。 +比如： + +```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 +``` + +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**。 + +## 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)。 + +交叉编译Android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`Android`。在设置`CMAKE_SYSTEM_NAME=Android`后，PaddlePaddle的CMake系统才认为是在交叉编译Android系统的版本，并自动编译宿主机版protoc可执行文件、目标机版protobuf库、以及Android所需`arm_soft_fp_abi`分支的目标机版OpenBLAS库。此外，还会强制设置一些PaddlePaddle参数的值（`WITH_GPU=OFF`、`WITH_AVX=OFF`、`WITH_PYTHON=OFF`、`WITH_RDMA=OFF`）。 +- `WITH_C_API`，必须设置为`ON`。在Android平台上只支持使用C-API来预测。 +- `WITH_SWIG_PY`，必须设置为`OFF`。在Android平台上不支持通过swig调用来训练或者预测。 + +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_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`。 + +其他配置参数： + +- `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： + +```bash +cmake -DCMAKE_SYSTEM_NAME=Android \ + -DANDROID_STANDALONE_TOOLCHAIN=your/path/to/my_standalone_toolchain \ + -DANDROID_ABI=armeabi-v7a \ + -DANDROID_ARM_NEON=ON \ + -DANDROID_ARM_MODE=ON \ + -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 + +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。 + +```bash +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。 diff --git a/develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_raspberry_cn.md.txt b/develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_raspberry_cn.md.txt new file mode 100644 index 00000000000..085b5dda161 --- /dev/null +++ b/develop/doc_cn/_sources/howto/cross_compiling/cross_compiling_for_raspberry_cn.md.txt @@ -0,0 +1,65 @@ +# 构建Raspberry Pi平台上的PaddlePaddle库 + +对于Rasspberry Pi系统，用户可通过ssh等方式登录到Raspberry Pi系统上，按照[源码编译PaddlePaddle](http://www.paddlepaddle.org/doc_cn/getstarted/build_and_install/cmake/build_from_source_cn.html)相关文档所述，直接编译Raspberry Pi平台上适用的PaddlePaddle库。 + +用户也可以在自己熟悉的开发平台上，通过交叉编译的方式来编译。这篇文档将以Linux x86-64平台为例，介绍交叉编译Raspberry Pi平台上适用的PaddlePaddle的方法和步骤。 + +## 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。用户可自行前往[github](https://github.com/raspberrypi/tools)下载Raspberry Pi平台使用的C/C++交叉编译工具链，也可通过以下命令获取： + +```bash +git clone https://github.com/raspberrypi/tools.git +``` + +该github仓库中包含若干个预编译好的、针对不同平台的编译工具。宿主机是Linux x86-64环境，则需选用`arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64`下的作为编译工具，所使用的编译器为arm-linux-gnueabihf-gcc 4.8.3。 + +注意，该编译工具链需要系统glibc支持2.14以上。 + +## 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/raspberry_pi.cmake](https://github.com/PaddlePaddle/Paddle/blob/develop/cmake/cross_compiling/raspberry_pi.cmake)，以提供一些默认的编译器和编译参数相关配置。 + +交叉编译Raspberry Pi版本PaddlePaddle库时，有一些必须配置的参数： + +- `CMAKE_SYSTEM_NAME`，CMake编译的目标平台，必须配置为`RPi`。在设置`CMAKE_SYSTEM_NAME=RPi`后，PaddlePaddle的CMake系统才认为在是在交叉编译Raspberry Pi系统的版本，并自动编译宿主机版protoc可执行文件、目标机版protobuf库、以及目标机版OpenBLAS库。 + +Raspberry Pi平台可选配置参数： + +- `RPI_TOOLCHAIN`，编译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设置需要使用的交叉编译器；否则，用户需要在cmake时手动设置这些值。无默认值。 +- `RPI_ARM_NEON`，是否使用NEON指令。目前必须设置成`ON`，默认值为`ON`。 + +其他配置参数： + +- `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。 + +cmake参数如下； + +``` +cmake -DCMAKE_SYSTEM_NAME=RPi \ + -DRPI_TOOLCHAIN=your/path/to/arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64 \ + -DRPI_ARM_NEON=ON \ + -DCMAKE_INSTALL_PREFIX=your/path/to/install \ + -DWITH_GPU=OFF \ + -DWITH_C_API=ON \ + -DWITH_PYTHON=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 + +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。 + +```bash +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，由于上一步cmake配置中`WITH_C_API`设置为`ON`，`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。 + +更多的编译配置见[源码编译PaddlePaddle](http://www.paddlepaddle.org/doc_cn/getstarted/build_and_install/cmake/build_from_source_cn.html)相关文档。 diff --git a/develop/doc_cn/_sources/howto/raspberry/build_for_raspberry.md.txt b/develop/doc_cn/_sources/howto/raspberry/build_for_raspberry.md.txt deleted file mode 100644 index 4a98aba8f2a..00000000000 --- a/develop/doc_cn/_sources/howto/raspberry/build_for_raspberry.md.txt +++ /dev/null @@ -1,47 +0,0 @@ -# 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 -``` 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 new file mode 100644 index 00000000000..39a73304799 --- /dev/null +++ b/develop/doc_cn/howto/cross_compiling/cross_compiling_for_android_cn.html @@ -0,0 +1,310 @@ + + + + + + + + + + + 构建Android平台上的PaddlePaddle库 — PaddlePaddle 文档 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
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+ Folk me on Github +
+ + English + + + + +
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    + +
  • 构建Android平台上的PaddlePaddle库
    • +
+
+ +
+
+
+
+ +
+

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。

+
+

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：

+
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
+
+
+

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。

+
+
+

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：

+
    +
  • CMAKE_SYSTEM_NAME，CMake编译的目标平台，必须设置为Android。在设置CMAKE_SYSTEM_NAME=Android后，PaddlePaddle的CMake系统才认为是在交叉编译Android系统的版本，并自动编译宿主机版protoc可执行文件、目标机版protobuf库、以及Android所需arm_soft_fp_abi分支的目标机版OpenBLAS库。此外，还会强制设置一些PaddlePaddle参数的值（WITH_GPU=OFF、WITH_AVX=OFF、WITH_PYTHON=OFF、WITH_RDMA=OFF）。
    • +
  • WITH_C_API，必须设置为ON。在Android平台上只支持使用C-API来预测。
    • +
  • WITH_SWIG_PY，必须设置为OFF。在Android平台上不支持通过swig调用来训练或者预测。
    • +
+

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_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。
    • +
+

其他配置参数：

+
    +
  • 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：

+
cmake -DCMAKE_SYSTEM_NAME=Android \
+      -DANDROID_STANDALONE_TOOLCHAIN=your/path/to/my_standalone_toolchain \
+      -DANDROID_ABI=armeabi-v7a \
+      -DANDROID_ARM_NEON=ON \
+      -DANDROID_ARM_MODE=ON \
+      -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

+

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。

+
+
+ + +
+
+
+ + +
+ +
+

+ © Copyright 2016, PaddlePaddle developers. + +

+
+ Built with Sphinx using a theme provided by Read the Docs. + +
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+
+ +
+ +
+ + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/develop/doc_cn/howto/raspberry/build_for_raspberry.html b/develop/doc_cn/howto/cross_compiling/cross_compiling_for_raspberry_cn.html similarity index 53% rename from develop/doc_cn/howto/raspberry/build_for_raspberry.html rename to develop/doc_cn/howto/cross_compiling/cross_compiling_for_raspberry_cn.html index e7195a85f98..52fe1869a4a 100644 --- a/develop/doc_cn/howto/raspberry/build_for_raspberry.html +++ b/develop/doc_cn/howto/cross_compiling/cross_compiling_for_raspberry_cn.html @@ -8,7 +8,7 @@ - 如何构建Raspberry pi下运行的PaddlePaddle — PaddlePaddle 文档 + 构建Raspberry Pi平台上的PaddlePaddle库 — PaddlePaddle 文档 @@ -174,7 +174,7 @@
    -
  • 如何构建Raspberry pi下运行的PaddlePaddle
    • +
  • 构建Raspberry Pi平台上的PaddlePaddle库
@@ -184,54 +184,58 @@
-

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。

+

构建Raspberry Pi平台上的PaddlePaddle库

+

对于Rasspberry Pi系统，用户可通过ssh等方式登录到Raspberry Pi系统上，按照源码编译PaddlePaddle相关文档所述，直接编译Raspberry Pi平台上适用的PaddlePaddle库。

+

用户也可以在自己熟悉的开发平台上，通过交叉编译的方式来编译。这篇文档将以Linux x86-64平台为例，介绍交叉编译Raspberry Pi平台上适用的PaddlePaddle的方法和步骤。

-

下载交叉编译环境

-
git clone https://github.com/raspberrypi/tools
+
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。用户可自行前往github下载Raspberry Pi平台使用的C/C++交叉编译工具链，也可通过以下命令获取：

+
git clone https://github.com/raspberrypi/tools.git
 

 

-
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。

+
该github仓库中包含若干个预编译好的、针对不同平台的编译工具。宿主机是Linux x86-64环境，则需选用arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64下的作为编译工具，所使用的编译器为arm-linux-gnueabihf-gcc 4.8.3。

+
注意，该编译工具链需要系统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
+
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/raspberry_pi.cmake，以提供一些默认的编译器和编译参数相关配置。

+
交叉编译Raspberry Pi版本PaddlePaddle库时，有一些必须配置的参数：

+
    
+
  • CMAKE_SYSTEM_NAME，CMake编译的目标平台，必须配置为RPi。在设置CMAKE_SYSTEM_NAME=RPi后，PaddlePaddle的CMake系统才认为在是在交叉编译Raspberry Pi系统的版本，并自动编译宿主机版protoc可执行文件、目标机版protobuf库、以及目标机版OpenBLAS库。
    • 
+

+
Raspberry Pi平台可选配置参数：

+
    
+
  • RPI_TOOLCHAIN，编译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设置需要使用的交叉编译器；否则，用户需要在cmake时手动设置这些值。无默认值。
    • 
+
  • RPI_ARM_NEON，是否使用NEON指令。目前必须设置成ON，默认值为ON。
    • 
+

+
其他配置参数：

+
    
+
  • 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。
    • 
+

+
cmake参数如下；

+
cmake -DCMAKE_SYSTEM_NAME=RPi \
+      -DRPI_TOOLCHAIN=your/path/to/arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64 \
+      -DRPI_ARM_NEON=ON \
+      -DCMAKE_INSTALL_PREFIX=your/path/to/install \
+      -DWITH_GPU=OFF \
+      -DWITH_C_API=ON \
+      -DWITH_PYTHON=OFF \
+      -DWITH_SWIG_PY=OFF \
+      ..
 

 

-
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。

+
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
+

+
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。

+
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，由于上一步cmake配置中WITH_C_API设置为ON，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。

+
更多的编译配置见源码编译PaddlePaddle相关文档。
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