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docs/docs_en/quick_start/install_cpp_sdk.md
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# FastDeploy C++ SDK
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FastDeploy provides prebuilt CPP deployment libraries on Windows/Linux/Mac. Developers can download and use it directly or compile the code manually.
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## Dependency
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- cuda >= 11.2
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- cudnn >= 8.0
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- g++ >= 5.4 (8.2 is recommended)
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## Download
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### Linux x64
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| SDK Download Link | Hardware | Description |
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|:--------------------------------------------------------------------------------------------------------------------- |:-------- |:---------------------------------------- |
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| [fastdeploy-linux-x64-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz) | CPU | Built with g++ 8.2 |
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| [fastdeploy-linux-x64-gpu-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz) | CPU/GPU | Built with g++ 8.2, cuda 11.2, cudnn 8.2 |
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### Windows 10 x64
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| SDK Download Link | Hardware | Description |
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|:----------------------------------------------------------------------------------------------------------------- |:-------- |:----------------------------------------------------- |
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| [fastdeploy-win-x64-0.2.0.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-0.2.0.zip) | CPU | Built with Visual Studio 16 2019 |
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| [fastdeploy-win-x64-gpu-0.2.0.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-0.2.0.zip) | CPU/GPU | Built with Visual Studio 16 2019,cuda 11.2, cudnn 8.2 |
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### Linux aarch64
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| SDK Download Link | Hardware | Description |
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|:--------------------------------------------------------------------------------------------------------------------- |:-------- |:-------------------- |
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| [fastdeploy-linux-aarch64-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-aarch64-0.2.0.tgz) | CPU | Built with g++ 6.3.0 |
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| [comming...] | Jetson | |
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### Mac OSX
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| SDK Download Link | Architecture | Hardware |
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|:--------------------------------------------------------------------------------------------------------------- |:------------ |:-------- |
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| [fastdeploy-osx-x86_64-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-x86_64-0.2.0.tgz) | x86 | CPU |
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| [fastdeploy-osx-arm64-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-arm64-0.2.0.tgz) | arm64 | CPU |
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## Other related docs
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- [Install Python SDK](./download_python_sdk.md)
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- [Example Vision Model deployment with C++/Python](../../examples/vision/)
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docs/docs_en/quick_start/install_python_sdk.md
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# FastDeploy Python SDK
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FastDeploy provides pre-compiled Python Wheel packages on Windows/Linux/Mac. Developers can download and install them directly, or compile the code manually.
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Currently, Fast Deploy supports
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- Python3.6-3.9 on Linux
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- Python3.8-3.9 on Windows
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- Python3.6-3.9 on Mac
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## Install CPU Python
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```bash
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pip install fastdeploy-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
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```
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## Install GPU Python
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```bash
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pip install fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
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```
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## Notes:
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- Please choose either `fastdeploy-python`or `fastdeploy-gpu-python`for installation.
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- If you have installed CPU `fastdeploy-python`, please execute `pip uninstall fastdeploy-python` to uninstall the existing version to install GPU `fastdeploy-gpu-python`.
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## Dependency
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- cuda >= 11.2
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- cudnn >= 8.0
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## Other related docs
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- [FastDeploy Prebuilt C++ Libraries](./CPP_prebuilt_libraries.md)
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- [Example Vision Model deployment with C++/Python](../../examples/vision/)
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