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170 lines
7.0 KiB
Markdown
170 lines
7.0 KiB
Markdown
English | [中文](../../cn/build_and_install/gpu.md)
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# How to Build GPU Deployment Environment
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## Build Options
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Please do not modify other cmake paramters exclude the following options.
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| Option | Supported Platform | Description |
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|:------------------------|:------- | :--------------------------------------------------------------------------|
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| ENABLE_ORT_BACKEND | Linux(x64)/Windows(x64) | Default OFF, whether to intergrate ONNX Runtime backend |
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| ENABLE_PADDLE_BACKEND | Linux(x64)/Windows(x64) | Default OFF, whether to intergrate Paddle Inference backend |
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| ENABLE_TRT_BACKEND | Linux(x64)/Windows(x64) | Default OFF, whether to intergrate TensorRT backend |
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| ENABLE_OPENVINO_BACKEND | Linux(x64)/Windows(x64) | Default OFF, whether to intergrate OpenVINO backend(Only CPU is supported) |
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| ENABLE_VISION | Linux(x64)/Windows(x64) | Default OFF, whether to intergrate vision models |
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| ENABLE_TEXT | Linux(x64/Windows(x64) | Default OFF, whether to intergrate text models |
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| CUDA_DIRECTORY | Linux(x64/Windows(x64) | Default /usr/local/cuda，require CUDA>=11.2 |
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| TRT_DIRECTORY | Linux(x64/Windows(x64) | Default empty，require TensorRT>=8.4， e.g. /Download/TensorRT-8.5 |
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The configuration for third libraries(Optional, if the following option is not defined, the prebuilt third libraries will download automaticly while building FastDeploy).
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| Option | Description |
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| :---------------------- | :--------------------------------------------------------------------------------------------- |
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| ORT_DIRECTORY | While ENABLE_ORT_BACKEND=ON, use ORT_DIRECTORY to specify your own ONNX Runtime library path. |
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| OPENCV_DIRECTORY | While ENABLE_VISION=ON, use OPENCV_DIRECTORY to specify your own OpenCV library path. |
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| OPENVINO_DIRECTORY | While ENABLE_OPENVINO_BACKEND=ON, use OPENVINO_DIRECTORY to specify your own OpenVINO library path. |
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## How to Build and Install C++ SDK
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### Linux
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Prerequisite for Compiling on Linux:
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- gcc/g++ >= 5.4 (8.2 is recommended)
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- cmake >= 3.18.0
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- cuda >= 11.2
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- cudnn >= 8.2
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It it recommend install OpenCV library manually, and define `-DOPENCV_DIRECTORY` to set path of OpenCV library(If the flag is not defined, a prebuilt OpenCV library will be downloaded automaticly while building FastDeploy, but the prebuilt OpenCV cannot support reading video file or other function e.g `imshow`)
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```
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sudo apt-get install libopencv-dev
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```
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```
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy
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mkdir build && cd build
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cmake .. -DENABLE_ORT_BACKEND=ON \
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-DENABLE_PADDLE_BACKEND=ON \
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-DENABLE_OPENVINO_BACKEND=ON \
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-DENABLE_TRT_BACKEND=ON \
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-DWITH_GPU=ON \
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-DTRT_DIRECTORY=/Paddle/TensorRT-8.4.1.5 \
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-DCUDA_DIRECTORY=/usr/local/cuda \
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-DCMAKE_INSTALL_PREFIX=${PWD}/compiled_fastdeploy_sdk \
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-DENABLE_VISION=ON \
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-DOPENCV_DIRECTORY=/usr/lib/x86_64-linux-gnu/cmake/opencv4
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make -j12
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make install
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```
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### Windows
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Prerequisite for Compiling on Windows:
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- Windows 10/11 x64
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- Visual Studio 2019
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- cuda >= 11.2
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- cudnn >= 8.2
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Notice: Make sure `Visual Studio Integration` is installed during CUDA installation, or manually copy the 4 files under `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\visual_studio_integration\MSBuildExtensions\` into `C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\`. Otherwise, you may run into `No CUDA toolset found` error during cmake.
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Launch the x64 Native Tools Command Prompt for VS 2019 from the Windows Start Menu and run the following commands:
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```
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy
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mkdir build && cd build
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cmake .. -G "Visual Studio 16 2019" -A x64 \
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-DENABLE_ORT_BACKEND=ON \
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-DENABLE_PADDLE_BACKEND=ON \
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-DENABLE_OPENVINO_BACKEND=ON \
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-DENABLE_TRT_BACKEND=ON
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-DENABLE_VISION=ON \
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-DWITH_GPU=ON \
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-DTRT_DIRECTORY="D:\Paddle\TensorRT-8.4.1.5" \
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-DCUDA_DIRECTORY="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2" \
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-DCMAKE_INSTALL_PREFIX="D:\Paddle\compiled_fastdeploy"
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msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
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msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
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```
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Once compiled, the C++ inference library is generated in the directory specified by `CMAKE_INSTALL_PREFIX`
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If you use CMake GUI, please refer to [How to Compile with CMakeGUI + Visual Studio 2019 IDE on Windows](../faq/build_on_win_with_gui.md)
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## How to Build and Install Python SDK
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Notice the `wheel` is required if you need to pack a wheel, execute `pip install wheel` first.
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### Linux
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Prerequisite for Compiling on Linux:
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- gcc/g++ >= 5.4 (8.2 is recommended)
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- cmake >= 3.18.0
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- python >= 3.6
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- cuda >= 11.2
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- cudnn >= 8.2
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All compilation options are imported via environment variables
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It it recommend install OpenCV library manually, and define `-DOPENCV_DIRECTORY` to set path of OpenCV library(If the flag is not defined, a prebuilt OpenCV library will be downloaded automaticly while building FastDeploy, but the prebuilt OpenCV cannot support reading video file or other function e.g `imshow`)
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```
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sudo apt-get install libopencv-dev
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```
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```
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy/python
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export ENABLE_ORT_BACKEND=ON
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export ENABLE_PADDLE_BACKEND=ON
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export ENABLE_OPENVINO_BACKEND=ON
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export ENABLE_VISION=ON
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export ENABLE_TRT_BACKEND=ON
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export WITH_GPU=ON
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export TRT_DIRECTORY=/Paddle/TensorRT-8.4.1.5
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export CUDA_DIRECTORY=/usr/local/cuda
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# The OPENCV_DIRECTORY is optional, if not exported, a prebuilt OpenCV library will be downloaded
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export OPENCV_DIRECTORY=/usr/lib/x86_64-linux-gnu/cmake/opencv4
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python setup.py build
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python setup.py bdist_wheel
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```
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### Windows
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Prerequisite for Compiling on Windows:
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- Windows 10/11 x64
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- Visual Studio 2019
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- python >= 3.6
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- cuda >= 11.2
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- cudnn >= 8.2
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Launch the x64 Native Tools Command Prompt for VS 2019 from the Windows Start Menu and run the following commands:
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```
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy/python
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set ENABLE_ORT_BACKEND=ON
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set ENABLE_PADDLE_BACKEND=ON
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set ENABLE_OPENVINO_BACKEND=ON
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set ENABLE_VISION=ON
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set ENABLE_TRT_BACKEND=ON
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set WITH_GPU=ON
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set TRT_DIRECTORY=D:\Paddle\TensorRT-8.4.1.5
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set CUDA_DIRECTORY=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2
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python setup.py build
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python setup.py bdist_wheel
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```
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The compiled `wheel` package will be generated in the `FastDeploy/python/dist` directory once finished. Users can pip-install it directly.
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During the compilation, if developers want to change the compilation parameters, it is advisable to delete the `build` and `.setuptools-cmake-build` subdirectories in the `FastDeploy/python` to avoid the possible impact from cache, and then recompile.
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