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Branch: release-1.5
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MegEngine/cmake/megengine.pc.in

megengine.pc.in 376 B
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feat(build): install CMake config module and pkg-config descriptor Also, upgrade to CMake 3.13. The commit also contains significant refactors, as otherwise it is not possible to properly export target `megengine` to MegEngine-targets.cmake: 1. Optionally use system provided Flatbuffers. 2. Optionally use system provided MKL-DNN (Tested with Debian). 3. Refactor megbrain and megdnn targets into object libraries. 4. Set different path in BUILD_INTERFACE and INSTALL_INTERFACE of various target_include_directories. 5. Specify PUBLIC/PRIVATE on various target_link_libraries. GitOrigin-RevId: df118a879e12acdc42b56bdd7c7c71b34b0effc3
5 years ago
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  1. prefix=@CMAKE_INSTALL_PREFIX@

  2. libdir=@CMAKE_INSTALL_PREFIX@/@CMAKE_INSTALL_LIBDIR@

  3. includedir=@CMAKE_INSTALL_PREFIX@/@CMAKE_INSTALL_INCLUDEDIR@

  4. 

  5. Name: MegEngine

  6. Description: A deep learning framework

  7. Version: @MGB_VER_STRING@

  8. URL: https://github.com/MegEngine/MegEngine

  9. Cflags: -I${includedir}

  10. Libs: -L${libdir} -lmegengine -pthread

  11. Libs.private: @MGE_PKGCONFIG_LIBS_PRIVATE@

MegEngine 安装包中集成了使用 GPU 运行代码所需的 CUDA 环境，不用区分 CPU 和 GPU 版。 如果想要运行 GPU 程序，请确保机器本身配有 GPU 硬件设备并安装好驱动。 如果你想体验在云端 GPU 算力平台进行深度学习开发的感觉，欢迎访问 MegStudio 平台