今天小编给大家分享一下Windows下源码编译PaddlePaddle的方法是什么的相关知识点，内容详细，逻辑清晰，相信大部分人都还太了解这方面的知识，所以分享这篇文章给大家参考一下，希望大家阅读完这篇文章后有所收获，下面我们一起来了解一下吧。
1.环境准备
Windows 10 专业版 (64bit)
Python 版本 Python 3.9.16(64 bit)
Visual Studio2022 专业版
1.1 cmake
cmake --version
cmake version 3.25.1-msvc1 CMake suite maintained and supported by Kitware (kitware.com/cmake).
1.2 python
(p2) PS D:Paddle> python --version Python 3.9.16
1.3 cuda
(p2) PS D:Paddle> nvidia-smi Wed Apr 5 17:06:19 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 516.94 Driver Version: 516.94 CUDA Version: 11.7 |
1.4 python包
(p2) PS D:Paddle> pip install numpy protobuf wheel ninja Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: numpy in i:miniconda3envsp2libsite-packages (1.23.2) Requirement already satisfied: protobuf in i:miniconda3envsp2libsite-packages (3.20.3) Requirement already satisfied: wheel in i:miniconda3envsp2libsite-packages (0.38.4) Requirement already satisfied: ninja in i:miniconda3envsp2libsite-packages (1.11.1)
1.5 创建编译文件夹
mkdir D:workspace && cd /d D:workspace git clone https://github.com/PaddlePaddle/Paddle.git cd Paddle
1.6 启用visual studio终端
********************************************************************** ** Visual Studio 2022 Developer Command Prompt v17.5.3 ** Copyright (c) 2022 Microsoft Corporation ********************************************************************** C:Program FilesMicrosoft Visual Studio2022Professional>d: D:>cd Paddle D:Paddle>
1.7 开始编译
先编译CPU版本吧，因为GPU的cuda和cudnn环境变量不会写（偷懒用conda安装的）
cmake .. -GNinja -DWITH_GPU=OFF -DWITH_UNITY_BUILD=ON ninja
编译过程中会下载东西，所以建议不要断网。 此过程中：
特别费CPU,我的到了100%，风扇呼呼的；
内存使用不大，10GB左右没变过；
不断使用git下载，所以网速要好。
1.8 docker编译
docker run --name paddle-test -v 123456:/paddle --network=host -it registry.baidubce.com/paddlepaddle/paddle:latest-dev /bin/bash
3 times. CMake Error at /paddle/build/third_party/dlpack/tmp/extern_dlpack-gitclone.cmake:31 (message): Failed to clone repository: 'https://github.com/dmlc/dlpack.git' CMakeFiles/extern_dlpack.dir/build.make:91: recipe for target 'third_party/dlpack/src/extern_dlpack-stamp/extern_dlpack-download' failed make[2]: *** [third_party/dlpack/src/extern_dlpack-stamp/extern_dlpack-download] Error 1 CMakeFiles/Makefile2:4791: recipe for target 'CMakeFiles/extern_dlpack.dir/all' failed make[1]: *** [CMakeFiles/extern_dlpack.dir/all] Error 2 fatal: unable to access 'https://github.com/JuliaStrings/utf8proc.git/': Failed to connect to github.com port 443: Connection refused -- Had to git clone more than once: 3 times. CMake Error at /paddle/build/third_party/utf8proc/tmp/extern_utf8proc-gitclone.cmake:31 (message): Failed to clone repository: 'https://github.com/JuliaStrings/utf8proc.git' CMakeFiles/extern_utf8proc.dir/build.make:90: recipe for target 'third_party/utf8proc/src/extern_utf8proc-stamp/extern_utf8proc-download' failed make[2]: *** [third_party/utf8proc/src/extern_utf8proc-stamp/extern_utf8proc-download] Error 1 CMakeFiles/Makefile2:4818: recipe for target 'CMakeFiles/extern_utf8proc.dir/all' failed