如何构建静态库并将它们链接到 linux 平台中的 c++ 项目? [英] How to build static libraries and linkthem to a c++ project in linux platform?

问题描述

我正在从事一个文本分类项目，该项目很大并且不使用 bazel 作为其构建工具.我想将 tensorflow 集成到我的项目中，但我发现很难将我的构建工具更改为 bazel.所以我希望在 tensorflow 上构建静态库并将它们链接到我的项目中.有谁知道如何在 tensorflow 源代码上构建独立的静态库并将它们链接到现有的 C++ 项目中?非常感谢.

I am working on a text-classification project, which is big and doesn't use bazel as its build tool. I want to integrate tensorflow into my project, but I find it is hard to change my build tool to bazel. So I wish to build static libraries on tensorflow and link them into my project. Does anyone know how to build standalone static libraries on tensorflow source and link them in the existing c++ project? Thanks a lot.

推荐答案

TensorFlow 存储库有一些 Makefile 可用于构建静态库(请参阅 tensorflow/contrib/Makefile).

The TensorFlow repository has some Makefiles you can use to build a static library (see tensorflow/contrib/Makefile).

或者，您可以使用 bazel 构建 TensorFlow C++ 共享库，然后在您的应用程序中加载和使用共享库(bazel build -c opt//tensorflow:libtensorflow_cc.so).不幸的是，bazel 还不能生成静态库(#1920).

Alternatively, you could use bazel to build the TensorFlow C++ shared library and then load and use the shared library in your application (bazel build -c opt //tensorflow:libtensorflow_cc.so). Unfortunately, bazel can't yet produce a static library (#1920).

希望有所帮助.

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