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update inference library (#2680)

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doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference.md
浏览文件 @ 9a5c2d45
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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：
......@@ -34,9 +34,9 @@
|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 |
|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！**
......
doc/paddle/advanced_guide/inference_deployment/inference/windows_cpp_inference_en.md
浏览文件 @ 9a5c2d45
......@@ -2,23 +2,24 @@
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:
|Operating System| win10 family version|
|:---------------|:-------------------|
| CPU | I7-8700K |
|:--------------|:-------------------|
| Memory | 16G |
| Hard Disk | 1T hdd + 256G ssd |
| Graphics Card | GTX1080 8G |
......@@ -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
......@@ -94,14 +93,13 @@ Inference Demo Compilation
Hardware Configuration of the experimental environment:
|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.
### Steps to Configure Environment
**Please strictly follow the subsequent steps to install, otherwise the installation may fail**
......
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