You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

gflags.cmake 1.7 kB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647
  1. if (HAVE_GFLAGS)
  2. return()
  3. endif()
  4. include(ExternalProject)
  5. #set(CMAKE_INSTALL_PREFIX ${GE_CODE_DIR}/output)
  6. if ((${CMAKE_INSTALL_PREFIX} STREQUAL /usr/local) OR
  7. (${CMAKE_INSTALL_PREFIX} STREQUAL "C:/Program Files (x86)/ascend"))
  8. set(CMAKE_INSTALL_PREFIX ${GE_CODE_DIR}/output CACHE STRING "path for install()" FORCE)
  9. message(STATUS "No install prefix selected, default to ${CMAKE_INSTALL_PREFIX}.")
  10. endif()
  11. if (ENABLE_GITEE)
  12. set(REQ_URL "https://gitee.com/mirrors/gflags/repository/archive/v2.2.2.tar.gz")
  13. set(MD5 "")
  14. else()
  15. set(REQ_URL "https://github.com/gflags/gflags/archive/v2.2.2.tar.gz")
  16. set(MD5 "")
  17. endif ()
  18. ExternalProject_Add(gflags_build
  19. URL ${REQ_URL}
  20. #URL /home/txd/workspace/linux_cmake/pkg/protobuf-3.8.0.tar.gz
  21. #SOURCE_DIR ${GE_CODE_DIR}/../third_party/gflags/src/gflags-2.2.2
  22. CONFIGURE_COMMAND ${CMAKE_COMMAND} -DCMAKE_CXX_FLAGS="-D_GLIBCXX_USE_CXX11_ABI=0" -DCMAKE_INSTALL_PREFIX=${CMAKE_INSTALL_PREFIX}/gflags <SOURCE_DIR>
  23. BUILD_COMMAND $(MAKE)
  24. INSTALL_COMMAND $(MAKE) install
  25. EXCLUDE_FROM_ALL TRUE
  26. )
  27. set(GFLAGS_PKG_DIR ${CMAKE_INSTALL_PREFIX}/gflags)
  28. add_library(gflags_static STATIC IMPORTED)
  29. set_target_properties(gflags_static PROPERTIES
  30. IMPORTED_LOCATION ${GFLAGS_PKG_DIR}/lib/libgflags.a
  31. )
  32. add_library(gflags INTERFACE)
  33. target_include_directories(gflags INTERFACE ${GFLAGS_PKG_DIR}/include)
  34. target_link_libraries(gflags INTERFACE gflags_static)
  35. add_dependencies(gflags gflags_build)
  36. #set(HAVE_GFLAGS TRUE CACHE BOOL "gflags build add")
  37. set(HAVE_GFLAGS TRUE)

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示