mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-30 03:22:05 +08:00
95 lines
4.0 KiB
Markdown
95 lines
4.0 KiB
Markdown
# Windows编译
|
||
|
||
## 环境依赖
|
||
|
||
- cmake >= 3.12
|
||
- Visual Studio 16 2019
|
||
- cuda >= 11.2 (当WITH_GPU=ON)
|
||
- cudnn >= 8.0 (当WITH_GPU=ON)
|
||
- TensorRT >= 8.4 (当ENABLE_TRT_BACKEND=ON)
|
||
|
||
## 编译CPU版本 C++ SDK
|
||
|
||
Windows菜单打开`x64 Native Tools Command Prompt for VS 2019`命令工具，其中`CMAKE_INSTALL_PREFIX`用于指定编译后生成的SDK路径
|
||
|
||
```bat
|
||
git clone https://github.com/PaddlePaddle/FastDeploy.git
|
||
cd FastDeploy && git checkout develop
|
||
mkdir build && cd build
|
||
|
||
cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.0 -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON
|
||
msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
|
||
msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
|
||
```
|
||
编译后，FastDeploy CPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.0`目录下
|
||
|
||
## 编译GPU版本 C++ SDK
|
||
|
||
Windows菜单打开`x64 Native Tools Command Prompt for VS 2019`命令工具，其中`CMAKE_INSTALL_PREFIX`用于指定编译后生成的SDK路径
|
||
|
||
```bat
|
||
git clone https://github.com/PaddlePaddle/FastDeploy.git
|
||
cd FastDeploy && git checkout develop
|
||
mkdir build && cd build
|
||
|
||
cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu-0.2.0 -DWITH_GPU=ON -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON -DCUDA_DIRECTORY="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2"
|
||
msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
|
||
msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
|
||
|
||
% 附加说明：%
|
||
% (1) -DCUDA_DIRECTORY指定CUDA所在的目录 %
|
||
% (2) 若编译Paddle后端，设置-DENABLE_PADDLE_BACKEND=ON %
|
||
% (3) 若编译TensorRT后端，需要设置-DENABLE_TRT_BACKEND=ON，并指定TRT_DIRECTORY %
|
||
% (4) 如-DTRT_DIRECTORY=D:\x64\third_party\TensorRT-8.4.1.5 %
|
||
```
|
||
编译后，FastDeploy GPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu-0.2.0`目录下
|
||
|
||
## 编译CPU版本 Python Wheel包
|
||
|
||
Windows菜单打开x64 Native Tools Command Prompt for VS 2019命令工具。Python编译时，通过环境变量获取编译选项，在命令行终端运行以下命令
|
||
```bat
|
||
git clone https://github.com/PaddlePaddle/FastDeploy.git
|
||
cd FastDeploy/python && git checkout develop
|
||
|
||
set ENABLE_ORT_BACKEND=ON
|
||
set ENABLE_PADDLE_BACKEND=ON
|
||
set ENABLE_VISION=ON
|
||
set ENABLE_VISION_VISUALIZE=ON
|
||
|
||
% 这里指定用户自己的python解释器 以python3.8为例 %
|
||
C:\Python38\python.exe setup.py build
|
||
C:\Python38\python.exe setup.py bdist_wheel
|
||
```
|
||
编译好的wheel文件在dist目录下，pip安装编译好的wheel包，命令如下
|
||
```bat
|
||
C:\Python38\python.exe -m pip install dist\fastdeploy_python-0.2.0-cp38-cp38-win_amd64.whl
|
||
```
|
||
|
||
## 编译GPU版本 Python Wheel包
|
||
Windows菜单打开x64 Native Tools Command Prompt for VS 2019命令工具。Python编译时，通过环境变量获取编译选项，在命令行终端运行以下命令
|
||
```bat
|
||
% 说明：CUDA_DIRECTORY 为用户自己的CUDA目录 以下为示例 %
|
||
set CUDA_DIRECTORY=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2
|
||
% 说明：TRT_DIRECTORY 为下载的TensorRT库所在的目录 以下为示例 如果不编译TensorRT后端 可以不设置 %
|
||
set TRT_DIRECTORY=D:\x64\third_party\TensorRT-8.4.1.5
|
||
set WITH_GPU=ON
|
||
set ENABLE_ORT_BACKEND=ON
|
||
% 说明：如果不编译TensorRT后端 此项为OFF %
|
||
set ENABLE_TRT_BACKEND=ON
|
||
set ENABLE_PADDLE_BACKEND=ON
|
||
set ENABLE_VISION=ON
|
||
set ENABLE_VISION_VISUALIZE=ON
|
||
|
||
git clone https://github.com/PaddlePaddle/FastDeploy.git
|
||
cd FastDeploy && git checkout develop
|
||
|
||
% 说明：这里指定用户自己的python解释器 以python3.8为例 %
|
||
C:\Python38\python.exe setup.py build
|
||
C:\Python38\python.exe setup.py bdist_wheel
|
||
```
|
||
编译好的wheel文件在dist目录下，pip安装编译好的wheel包，命令如下
|
||
```bat
|
||
C:\Python38\python.exe -m pip install dist\fastdeploy_gpu_python-0.2.0-cp38-cp38-win_amd64.whl
|
||
```
|
||
更多编译选项说明参考[编译指南](./README.md)
|