util.cmake

# Some common routine for paddle compile.


# target_circle_link_libraries
# Link libraries to target which has circle dependencies.
#
# First Argument: target name want to be linked with libraries
# Rest Arguments: libraries which link together.
function(target_circle_link_libraries TARGET_NAME)
    target_link_libraries(${TARGET_NAME}
        -Wl,--start-group
        ${ARGN}
        -Wl,--end-group)
endfunction()

# compile_cu_as_cpp
# Make a cu file compiled as C++
# Arguments: Source files
macro(compile_cu_as_cpp)
    foreach(s ${ARGN})
        set_source_files_properties(${s} PROPERTIES LANGUAGE CXX)
        set_source_files_properties(${s} PROPERTIES COMPILE_FLAGS "-x c++")
    endforeach()
endmacro()

# link_paddle_exe
# add paddle library for a paddle executable, such as trainer, pserver.
#
# It will handle WITH_PYTHON/WITH_GLOG etc.
function(link_paddle_exe TARGET_NAME)
    if(WITH_METRIC)
        if(WITH_GPU)
            set(METRIC_LIBS paddle_metric_learning paddle_dserver_lib metric metric_cpu)
        else()
            set(METRIC_LIBS paddle_metric_learning paddle_dserver_lib metric_cpu)
        endif()
    else()
        set(METRIC_LIBS "")
    endif()

    if(PADDLE_WITH_INTERNAL)
        set(INTERAL_LIBS paddle_internal_gserver paddle_internal_parameter)
        target_circle_link_libraries(${TARGET_NAME}
            -Wl,--whole-archive
            paddle_internal_gserver
            paddle_internal_owlqn
            -Wl,--no-whole-archive
            paddle_internal_parameter)
    else()
        set(INTERAL_LIBS "")
    endif()

    target_circle_link_libraries(${TARGET_NAME}
        -Wl,--whole-archive
        paddle_gserver
        ${METRIC_LIBS}
        -Wl,--no-whole-archive
        paddle_pserver
        paddle_trainer_lib
        paddle_network
        paddle_math
        paddle_utils
        paddle_parameter
        paddle_proto
        paddle_cuda
        ${METRIC_LIBS}
        ${PROTOBUF_LIBRARY}
        ${CMAKE_THREAD_LIBS_INIT}
        ${CBLAS_LIBS}
        ${CMAKE_DL_LIBS}
        ${INTERAL_LIBS}
        -lz)
    
    if(WITH_PYTHON)
        target_link_libraries(${TARGET_NAME}
            ${PYTHON_LIBRARIES})
    endif()

    if(WITH_GLOG)
        target_link_libraries(${TARGET_NAME}
            ${LIBGLOG_LIBRARY})
    endif()

    if(WITH_GFLAGS)
        target_link_libraries(${TARGET_NAME}
            ${GFLAGS_LIBRARIES})
    endif()

    if(WITH_GPU)
        if(NOT WITH_DSO OR WITH_METRIC) 
            target_link_libraries(${TARGET_NAME}
                ${CUDNN_LIBRARY}
                ${CUDA_curand_LIBRARY}) 
            CUDA_ADD_CUBLAS_TO_TARGET(${TARGET_NAME})
        endif()

        check_library_exists(rt clock_gettime "time.h" HAVE_CLOCK_GETTIME )
        if(HAVE_CLOCK_GETTIME)
            target_link_libraries(${TARGET_NAME} rt)
        endif()
    endif()
endfunction()

# link_paddle_test
# Link a paddle unittest for target
# TARGET_NAME: the unittest target name
# Rest Arguemnts: not used.
function(link_paddle_test TARGET_NAME)
    link_paddle_exe(${TARGET_NAME})
    target_link_libraries(${TARGET_NAME} ${GTEST_MAIN_LIBRARIES}
        ${GTEST_LIBRARIES})
endfunction()

# add_unittest_without_exec
#
# create a paddle unittest. not specifically define how to run this unittest.
# TARGET_NAME: the unittest target name, same as executable file name
# Rest Arguments: the source files to compile this unittest.
macro(add_unittest_without_exec TARGET_NAME)
    add_executable(${TARGET_NAME} ${ARGN})
    link_paddle_test(${TARGET_NAME})
    add_style_check_target(${TARGET_NAME} ${ARGN})
endmacro()

# add_unittest
# create a paddle unittest and just to execute this binary to make unittest.
#
# TARGET_NAME: the unittest target name, same as executable file name
# Rest Arguments: the source files to compile this unittest.
macro(add_unittest TARGET_NAME)
    add_unittest_without_exec(${TARGET_NAME} ${ARGN})
    add_test(${TARGET_NAME} ${TARGET_NAME})
endmacro()

# add_simple_unittest
# create a paddle unittest with file name. It just compile ${TARGET_NAME}.cpp to
# ${TARGET_NAME} and then execute it.
macro(add_simple_unittest TARGET_NAME)
    add_unittest(${TARGET_NAME} ${TARGET_NAME}.cpp)
endmacro()

macro(add_paddle_culib TARGET_NAME)
    set(NVCC_FLAG ${CUDA_NVCC_FLAGS})
    set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};--use_fast_math)
    cuda_add_library(${TARGET_NAME} STATIC ${ARGN})
    set(CUDA_NVCC_FLAGS ${NVCC_FLAG})
endmacro()