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https://github.com/PaddlePaddle/FastDeploy.git
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e24c592f43
* Update paddle_inference.cmake * Update process_libraries.py.in * Update process_libraries.py.in * Update paddle_inference.cmake * Update CMakeLists.txt * Update VERSION_NUMBER * Update VERSION_NUMBER * Update download_prebuilt_libraries.md * Update gpu.md * Update cpu.md * Update download_prebuilt_libraries.md * Update jetson.md * Update tensorrt_tricks.md * Update cpp.md Co-authored-by: Jason <jiangjiajun@baidu.com>
135 lines
4.3 KiB
Markdown
135 lines
4.3 KiB
Markdown
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# GPU部署库编译
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FastDeploy当前在GPU环境支持Paddle Inference、ONNX Runtime和TensorRT，但同时在Linux&Windows的GPU环境也同时支持CPU硬件，因此编译时也可以同步将CPU的推理后端OpenVINO编译集成
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| 后端 | 平台 | 支持模型格式 | 说明 |
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| :--- | :---- | :----------- | :--- |
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| Paddle Inference | Windows(x64)<br>Linux(x64) | Paddle | 同时支持CPU/GPU，编译开关`ENABLE_PADDLE_BACKEND`为ON或OFF控制, 默认OFF |
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| ONNX Runtime | Windows(x64)<br>Linux(x64/aarch64)<br>Mac(x86/arm64) | Paddle/ONNX | 同时支持CPU/GPU，编译开关`ENABLE_ORT_BACKEND`为ON或OFF控制，默认OFF |
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| TensorRT | Windows(x64)<br>Linux(x64) | Paddle/ONNX | 仅支持GPU，编译开关`ENABLE_TRT_BACKEND`为ON或OFF控制，默认OFF |
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| OpenVINO | Windows(x64)<br>Linux(x64) | Paddle/ONNX | 仅支持CPU，编译开关`ENABLE_OPENVINO_BACKEND`为ON或OFF控制，默认OFF |
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注意编译GPU环境时，需额外指定`WITH_GPU`为ON，设定`CUDA_DIRECTORY`，如若需集成TensorRT，还需同时设定`TRT_DIRECTORY`
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## C++ SDK编译安装
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### Linux
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Linux上编译需满足
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- gcc/g++ >= 5.4(推荐8.2)
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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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```bash
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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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make -j12
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make install
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```
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### Windows
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Windows编译需要满足条件
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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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在Windows菜单中，找到`x64 Native Tools Command Prompt for VS 2019`打开，执行如下命令
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```bat
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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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编译完成后，即在`CMAKE_INSTALL_PREFIX`指定的目录下生成C++推理库
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如您使用CMake GUI可参考文档[Windows使用CMakeGUI + Visual Studio 2019 IDE编译](../faq/build_on_win_with_gui.md)
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## Python编译安装
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### Linux
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编译过程需要满足
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- gcc/g++ >= 5.4(推荐8.2)
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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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所有编译选项通过环境变量导入
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```bash
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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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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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编译过程同样需要满足
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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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在Windows菜单中，找到`x64 Native Tools Command Prompt for VS 2019`打开，执行如下命令
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```bat
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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="D:\Paddle\TensorRT-8.4.1.5"
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export 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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编译完成即会在`FastDeploy/python/dist`目录下生成编译后的`wheel`包，直接pip install即可
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编译过程中，如若修改编译参数，为避免带来缓存影响，可删除`FastDeploy/python`目录下的`build`和`.setuptools-cmake-build`两个子目录后再重新编译
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