diff --git a/doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference.md b/doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference.md index 417eaf1e182535b69596876be2ca8cfb3304f6bd..bb05e89fa9d6dfd1e7a5fd038fd1e19835018ac2 100644 --- a/doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference.md +++ b/doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference.md @@ -2,41 +2,41 @@ 安装与编译 Windows 预测库 =========================== -下载安装包与对应的测试环境 +直接下载安装 ------------- -| 版本说明 | 预测库(1.8.3版本) | 编译器 | 构建工具 | cuDNN | CUDA | +| 版本说明 | 预测库(1.8.4版本) |预测库(2.0.0-beta0版本) | 编译器 | 构建工具 | cuDNN | CUDA | |:---------|:-------------------|:-------------------|:----------------|:--------|:-------| -| cpu_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/mkl/cpu/fluid_inference_install_dir.zip) | MSVC 2015 update 3| CMake v3.16.0 | -| cpu_avx_openblas | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/open/cpu/fluid_inference_install_dir.zip) | MSVC 2015 update 3| CMake v3.16.0 | -| cuda9.0_cudnn7_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/mkl/post97/fluid_inference_install_dir.zip) | MSVC 2015 update 3 | CMake v3.16.0 | 7.3.1 | 9.0 | -| cuda9.0_cudnn7_avx_openblas | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/open/post97/fluid_inference_install_dir.zip) | MSVC 2015 update 3 | CMake v3.16.0 | 7.3.1 | 9.0 | -| cuda10.0_cudnn7_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/mkl/post107/fluid_inference_install_dir.zip) | MSVC 2015 update 3 | CMake v3.16.0 | 7.4.1 | 10.0 | +| cpu_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/mkl/cpu/fluid_inference_install_dir.zip) | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/2.0.0-beta0/win-infer/mkl/cpu/fluid_inference_install_dir.zip) | MSVC 2015 update 3| CMake v3.16.0 | +| cpu_avx_openblas | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/open/cpu/fluid_inference_install_dir.zip) || MSVC 2015 update 3| CMake v3.16.0 | +| cuda9.0_cudnn7_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/mkl/post97/fluid_inference_install_dir.zip) || MSVC 2015 update 3 | CMake v3.16.0 | 7.3.1 | 9.0 | +| cuda9.0_cudnn7_avx_openblas | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/open/post97/fluid_inference_install_dir.zip) || MSVC 2015 update 3 | CMake v3.16.0 | 7.3.1 | 9.0 | +| cuda10.0_cudnn7_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/mkl/post107/fluid_inference_install_dir.zip) | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/mkl/cpu/fluid_inference_install_dir.zip) | MSVC 2015 update 3 | CMake v3.16.0 | 7.4.1 | 10.0 | ### 硬件环境 测试环境硬件配置： -| CPU | I7-8700K | +| 操作系统 | win10 家庭版本 | |:---------|:-------------------| +| CPU | I7-8700K | | 内存 | 16G | | 硬盘 | 1T hdd + 256G ssd | | 显卡 | GTX1080 8G | -测试环境操作系统使用 win10 家庭版本 -从源码编译预测库 +从源码编译 -------------- 用户也可以从 PaddlePaddle 核心代码编译C++预测库，只需在编译时配制下面这些编译选项： |选项 |说明 | 值 | |:-------------|:-------|:------------| |CMAKE_BUILD_TYPE | 配置生成器上的构建类型，windows预测库目前只支持Release | Release | -|ON_INFER | 是否生成预测库，编译预测库时必须设置为ON | ON | +|ON_INFER | 是否生成预测库，编译预测库时必须设置为ON | ON | |WITH_GPU | 是否支持GPU | ON/OFF | -|WITH_MKL | 是否使用Intel MKL(数学核心库) | ON/OFF | -|WITH_PYTHON | 是否内嵌PYTHON解释器 | OFF(推荐) | -|MSVC_STATIC_CRT|是否使用/MT 模式进行编译，Windows默认使用 /MT 模式进行编译 |ON/OFF| +|WITH_MKL | 是否使用Intel MKL(数学核心库)或者OPENBLAS | ON/OFF | +|WITH_PYTHON | 是否编译Python包 | OFF(推荐) | +|MSVC_STATIC_CRT|是否使用/MT 模式进行编译，默认使用 /MT 模式进行编译 |ON/OFF| |CUDA_TOOKIT_ROOT_DIR|编译GPU预测库时，需设置CUDA的根目录|YOUR_CUDA_PATH| 请按照推荐值设置，以避免链接不必要的库。其它可选编译选项按需进行设定。 @@ -45,46 +45,45 @@ Windows下安装与编译预测库步骤：(在Windows命令提示符下执行以下指令) -1. 将PaddlePaddle的源码clone在当下目录的Paddle文件夹中，并进入Paddle目录： +1. 将PaddlePaddle的源码clone在当下目录的Paddle文件夹中，并进入Paddle目录，创建build目录： ```bash git clone https://github.com/PaddlePaddle/Paddle.git cd Paddle - ``` - -2. 执行cmake： - - 编译CPU预测 - ```bash # 创建并进入build目录 mkdir build cd build + ``` - cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=OFF -DWITH_GPU=OFF -DON_INFER=ON -DWITH_PYTHON=OFF +2. 执行cmake： + - 编译CPU预测库 + ```bash + cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=ON -DWITH_GPU=OFF -DON_INFER=ON -DWITH_PYTHON=OFF # Windows默认使用 /MT 模式进行编译，如果想使用 /MD 模式，请使用以下命令。如不清楚两者的区别，请使用上面的命令 - cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=OFF -DWITH_GPU=OFF -DON_INFER=ON -DWITH_PYTHON=OFF -DMSVC_STATIC_CRT=OFF + cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=ON -DWITH_GPU=OFF -DON_INFER=ON -DWITH_PYTHON=OFF -DMSVC_STATIC_CRT=OFF ``` - 编译GPU预测库: ```bash - # -DCUDA_TOOKIT_ROOT_DIR 为cuda根目录，例如-DCUDA_TOOKIT_ROOT_DIR="D:\\cuda" + # -DCUDA_TOOKIT_ROOT_DIR为你所安装的cuda根目录，例如-DCUDA_TOOKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.0" cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=ON -DWITH_GPU=ON -DON_INFER=ON -DWITH_PYTHON=OFF -DCUDA_TOOKIT_ROOT_DIR=YOUR_CUDA_PATH ``` 3. 使用Blend for Visual Studio 2015 打开 `paddle.sln` 文件，选择平台为`x64`，配置为`Release`，编译inference_lib_dist项目。 操作方法：在Visual Studio中选择相应模块，右键选择"生成"（或者"build"） -编译成功后，使用C++预测库所需的依赖（包括：（1）编译出的PaddlePaddle预测库和头文件；（2）第三方链接库和头文件；（3）版本信息与编译选项信息） -均会存放于`fluid_inference_install_dir`目录中。 - -version.txt 中记录了该预测库的版本信息，包括Git Commit ID、使用OpenBlas或MKL数学库、CUDA/CUDNN版本号，如： +编译成功后，使用C++预测库所需的依赖（包括：1. 编译出的PaddlePaddle预测库和头文件；2. 第三方链接库和头文件；3. 版本信息与编译选项信息）均会存放于`fluid_inference_install_dir`目录中。 +version.txt 中记录了该预测库的版本信息，包括Git Commit ID、使用OpenBlas或MKL数学库、CUDA/CUDNN版本号、C++编译器版本，如： - GIT COMMIT ID: cc9028b90ef50a825a722c55e5fda4b7cd26b0d6 - WITH_MKL: ON - WITH_MKLDNN: ON - WITH_GPU: ON - CUDA version: 8.0 - CUDNN version: v7 - +```text +GIT COMMIT ID: 264e76cae6861ad9b1d4bcd8c3212f7a78c01e4d +WITH_MKL: ON +WITH_MKLDNN: ON +WITH_GPU: ON +CUDA version: 10.0 +CUDNN version: v7.4 +CXX compiler version: 19.0.24215.1 +``` 编译预测demo ------------- @@ -93,14 +92,13 @@ version.txt 中记录了该预测库的版本信息，包括Git Commit ID、使 测试环境硬件配置： -| CPU | I7-8700K | +| 操作系统 | win10 家庭版本 | |:---------|:-------------------| +| CPU | I7-8700K | | 内存 | 16G | | 硬盘 | 1T hdd + 256G ssd | | 显卡 | GTX1080 8G | -测试环境操作系统使用 win10 家庭版本。 - ### 软件要求 **请您严格按照以下步骤进行安装，否则可能会导致安装失败！** diff --git a/doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference_en.md b/doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference_en.md index e25ae184810153421013c60c96c9533b00261ae0..dd5d08900df3c7bce56e94ef64da8eddde7913e7 100644 --- a/doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference_en.md +++ b/doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference_en.md @@ -2,26 +2,27 @@ Install and Compile C++ Inference Library on Windows =========================== -Direct Download and Install +Download and Install directly ------------- -| Version | Inference Libraries(v1.8.3) | Compiler | Build tools | cuDNN | CUDA | +| Version | Inference Libraries(v1.8.4) |Inference Libraries(v2.0.0-beta0)| Compiler | Build tools | cuDNN | CUDA | |:---------|:-------------------|:-------------------|:----------------|:--------|:-------| -| cpu_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/mkl/cpu/fluid_inference_install_dir.zip) | MSVC 2015 update 3| CMake v3.16.0 | -| cpu_avx_openblas | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/open/cpu/fluid_inference_install_dir.zip) | MSVC 2015 update 3| CMake v3.16.0 | -| cuda9.0_cudnn7_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/mkl/post97/fluid_inference_install_dir.zip) | MSVC 2015 update 3 | CMake v3.16.0 | 7.3.1 | 9.0 | -| cuda9.0_cudnn7_avx_openblas | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/open/post97/fluid_inference_install_dir.zip) | MSVC 2015 update 3 | CMake v3.16.0 | 7.3.1 | 9.0 | -| cuda10.0_cudnn7_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/mkl/post107/fluid_inference_install_dir.zip) | MSVC 2015 update 3 | CMake v3.16.0 | 7.4.1 | 10.0 | +| cpu_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/mkl/cpu/fluid_inference_install_dir.zip) | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/2.0.0-beta0/win-infer/mkl/cpu/fluid_inference_install_dir.zip) | MSVC 2015 update 3| CMake v3.16.0 | +| cpu_avx_openblas | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/open/cpu/fluid_inference_install_dir.zip) || MSVC 2015 update 3| CMake v3.16.0 | +| cuda9.0_cudnn7_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/mkl/post97/fluid_inference_install_dir.zip) || MSVC 2015 update 3 | CMake v3.16.0 | 7.3.1 | 9.0 | +| cuda9.0_cudnn7_avx_openblas | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/open/post97/fluid_inference_install_dir.zip) || MSVC 2015 update 3 | CMake v3.16.0 | 7.3.1 | 9.0 | +| cuda10.0_cudnn7_avx_mkl | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.4/win-infer/mkl/post107/fluid_inference_install_dir.zip) | [fluid_inference.zip](https://paddle-wheel.bj.bcebos.com/1.8.3/win-infer/mkl/cpu/fluid_inference_install_dir.zip) | MSVC 2015 update 3 | CMake v3.16.0 | 7.4.1 | 10.0 | ### Hardware Environment Hardware Configuration of the experimental environment: -| CPU | I7-8700K | -|:--------------|:-------------------| -| Memory | 16G | -| Hard Disk | 1T hdd + 256G ssd | -| Graphics Card | GTX1080 8G | +|Operating System| win10 family version| +|:---------------|:-------------------| +| CPU | I7-8700K | +| Memory | 16G | +| Hard Disk | 1T hdd + 256G ssd | +| Graphics Card | GTX1080 8G | The operating system is win10 family version in the experimental environment. @@ -36,8 +37,8 @@ Users can also compile C++ inference libraries from the PaddlePaddle core code b |ON_INFER|Whether to generate the inference library. Must be set to ON when compiling the inference library. | ON | |WITH_GPU|Whether to support GPU | ON/OFF | |WITH_MKL|Whether to support MKL | ON/OFF | -|WITH_PYTHON|Whether the PYTHON interpreter is embedded | OFF | -|MSVC_STATIC_CRT|Whether to compile with / MT mode | ON | +|WITH_PYTHON|Whether to generate the Python whl package| OFF | +|MSVC_STATIC_CRT|Whether to compile with /MT mode | ON | |CUDA_TOOKIT_ROOT_DIR | When compiling the GPU inference library, you need to set the CUDA root directory | YOUR_CUDA_PATH | For details on the compilation options, see [the compilation options list](../../../beginners_guide/install/Tables_en.html/#Compile) @@ -54,21 +55,16 @@ For details on the compilation options, see [the compilation options list](../.. - compile CPU inference library ```bash - # create build directory - mkdir build - - # change to the build directory - cd build - cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=OFF -DWITH_GPU=OFF -DON_INFER=ON -DWITH_PYTHON=OFF + cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=ON -DWITH_GPU=OFF -DON_INFER=ON -DWITH_PYTHON=OFF # use -DWITH_MKL to select math library: Intel MKL or OpenBLAS # By default on Windows we use /MT for C Runtime Library, If you want to use /MD, please use the below command # If you have no ideas the differences between the two, use the above one - cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=OFF -DWITH_GPU=OFF -DON_INFER=ON -DWITH_PYTHON=OFF -DMSVC_STATIC_CRT=OFF + cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=ON -DWITH_GPU=OFF -DON_INFER=ON -DWITH_PYTHON=OFF -DMSVC_STATIC_CRT=OFF ``` - compile GPU inference library ```bash - # -DCUDA_TOOKIT_ROOT_DIR is cuda root directory, such as -DCUDA_TOOKIT_ROOT_DIR="D:\\cuda" + # -DCUDA_TOOKIT_ROOT_DIR is cuda root directory, such as -DCUDA_TOOKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.0" cmake .. -G "Visual Studio 14 2015" -A x64 -T host=x64 -DCMAKE_BUILD_TYPE=Release -DWITH_MKL=ON -DWITH_GPU=ON -DON_INFER=ON -DWITH_PYTHON=OFF -DCUDA_TOOKIT_ROOT_DIR=YOUR_CUDA_PATH ``` @@ -76,15 +72,18 @@ For details on the compilation options, see [the compilation options list](../.. The inference library will be installed in `fluid_inference_install_dir`. -version.txt constains the detailed configurations about the library, including git commit ID、math library, CUDA, CUDNN versions： +version.txt constains the detailed configurations about the library, including git commit ID、math library, CUDA, CUDNN versions, CXX compiler version: - GIT COMMIT ID: cc9028b90ef50a825a722c55e5fda4b7cd26b0d6 - WITH_MKL: ON - WITH_MKLDNN: ON - WITH_GPU: ON - CUDA version: 8.0 - CUDNN version: v7 +```text +GIT COMMIT ID: 264e76cae6861ad9b1d4bcd8c3212f7a78c01e4d +WITH_MKL: ON +WITH_MKLDNN: ON +WITH_GPU: ON +CUDA version: 10.0 +CUDNN version: v7.4 +CXX compiler version: 19.0.24215.1 +``` Inference Demo Compilation @@ -94,13 +93,12 @@ Inference Demo Compilation Hardware Configuration of the experimental environment: -| CPU | I7-8700K | -|:--------------|:-------------------| -| Memory | 16G | -| Hard Disk | 1T hdd + 256G ssd | -| Graphics Card | GTX1080 8G | - -The operating system is win10 family version in the experimental environment. +|Operating System| win10 family version| +|:---------------|:-------------------| +| CPU | I7-8700K | +| Memory | 16G | +| Hard Disk | 1T hdd + 256G ssd | +| Graphics Card | GTX1080 8G | ### Steps to Configure Environment