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Jason 79c3dcc241 Update version number in all documents (#251 )

update version

2022-09-17 22:33:59 +08:00

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Compile on Windows

Dependencies

cmake >= 3.12
Visual Studio 16 2019
cuda >= 11.2 (WITH_GPU=ON)
cudnn >= 8.0 (WITH_GPU=ON)
TensorRT >= 8.4 (ENABLE_TRT_BACKEND=ON)

Compile C++ SDK for CPU

Opens the x64 Native Tools Command Prompt for VS 2019 command tool on the Windows menu. In particular, the CMAKE_INSTALL_PREFIX is used to designate the path to the SDK generated after compilation.

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-x64-0.2.1-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

After compilation, the FastDeploy CPU C++ SDK is in the D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.1 directory

Compile C++ SDK for GPU

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-0.2.1 -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  

% Notes：%
% (1) -DCUDA_DIRECTORY designates the directory of CUDA %
% (2) If compile the Paddle backend, set-DENABLE_PADDLE_BACKEND=ON %
% (3) If compile the TensorRT backend，set-DENABLE_TRT_BACKEND=ON, and designate TRT_DIRECTORY %
% (4) If-DTRT_DIRECTORY=D:\x64\third_party\TensorRT-8.4.1.5 %

After compilation, FastDeploy GPU C++ SDK is underD:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu-0.2.0

Compile Python Wheel package for CPU

Opens the x64 Native Tools Command Prompt for VS 2019 command tool on the Windows menu. In particular, the compilation options are obtained through the environment variables and run the following command in terminal.

git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy && 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

The compiled wheel files are in the dist directory. Use pip to install the compiled wheel package with the following command:

C:\Python38\python.exe -m pip install dist\fastdeploy_python-0.2.0-cp38-cp38-win_amd64.whl

Compile Python Wheel package for GPU

% Note：CUDA_DIRECTORY is your own CUDA directory. The following is an example %
set CUDA_DIRECTORY=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2
% Note：TRT_DIRECTORY is the directory of the downloaded TensorRT library. The following is an example. Ignore the setting if the TensorRT backend is not needed. %
set TRT_DIRECTORY=D:\x64\third_party\TensorRT-8.4.1.5
set WITH_GPU=ON
set ENABLE_ORT_BACKEND=ON
% Note：If not compile TensorRT backend, the default is 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

% Note: Designate your own python interpreter here. Take python 3.8 as an example %
C:\Python38\python.exe setup.py build
C:\Python38\python.exe setup.py bdist_wheel