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cavis/libnd4j/CMakeLists.txt

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CMake
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cmake_minimum_required(VERSION 3.15)
project(libnd4j)
set(CMAKE_VERBOSE_MAKEFILE OFF)
set(CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake" ${CMAKE_MODULE_PATH})
#ensure we create lib files
set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS OFF)
option(SD_NATIVE "Optimize for build machine (might not work on others)" OFF)
option(SD_CHECK_VECTORIZATION "checks for vectorization" OFF)
option(SD_BUILD_TESTS "Build tests" OFF)
option(SD_STATIC_LIB "Build static library" OFF)
option(SD_SHARED_LIB "Build shared library" ON)
option(SD_SANITIZE "Enable Address Sanitizer" ON)
option(FLATBUFFERS_BUILD_FLATC "Enable the build of the flatbuffers compiler" OFF)
set(FLATBUFFERS_BUILD_FLATC "OFF" CACHE STRING "Hack to disable flatc build" FORCE)
set(CMAKE_CXX_STANDARD 11)
if (SD_CUDA)
enable_language(CUDA)
set(CMAKE_CUDA_STANDARD 11)
set(DEFAULT_ENGINE "samediff::ENGINE_CUDA")
else()
set(DEFAULT_ENGINE "samediff::ENGINE_CPU")
endif()
# MSVC runtime lib can be either "MultiThreaded" or "MultiThreadedDLL", /MT and /MD respectively
set(MSVC_RT_LIB "MultiThreadedDLL")
set(SD_X86_BUILD false)
if (NOT SD_IOS_BUILD AND NOT SD_ANDROID_BUILD AND NOT ${SD_ARCH} MATCHES "power*" AND NOT ${SD_ARCH} MATCHES "arm*")
set(SD_X86_BUILD true)
endif()
# -fsanitize=address
# -fsanitize=leak
if (SD_ANDROID_BUILD)
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3 -fPIC -Wno-braced-scalar-init -Wno-delete-non-virtual-dtor -Wno-unused-command-line-argument -Wno-dangling-else -D_RELEASE=true")
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -O0 -g -fPIC -Wno-braced-scalar-init -Wno-delete-non-virtual-dtor -Wno-unused-command-line-argument -Wno-dangling-else")
elseif (APPLE)
set(CMAKE_CXX_FLAGS_RELEASE "-O3 -fPIC -Wno-braced-scalar-init -Wno-delete-non-virtual-dtor -Wno-unused-command-line-argument -Wno-dangling-else -D__APPLE_OS__=true -D_RELEASE=true")
set(CMAKE_CXX_FLAGS_DEBUG " -O0 -g -fPIC -Wno-braced-scalar-init -Wno-delete-non-virtual-dtor -Wno-unused-command-line-argument -Wno-dangling-else -D__APPLE_OS__=true")
elseif(WIN32)
set(SD_X86_BUILD true)
if (SD_CUDA)
set(CMAKE_CXX_FLAGS_RELEASE "-D_RELEASE=true")
set(CMAKE_CXX_FLAGS_DEBUG " /FS /EHsc")
else()
set(CMAKE_CXX_FLAGS_RELEASE "-O3 -fPIC -D_RELEASE=true")
set(CMAKE_CXX_FLAGS_DEBUG " -g -O2 -fPIC")
endif()
else()
set(CMAKE_CXX_FLAGS_RELEASE "-O3 -fPIC -D_RELEASE=true")
set(CMAKE_CXX_FLAGS_DEBUG " -g -O0 -fPIC")
if (SD_CPU)
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fsanitize=address")
endif()
endif()
if(SD_NATIVE)
IF(${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64*")
set(SD_X86_BUILD false)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mcpu=native")
ELSE()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -march=native")
ENDIF()
endif()
if(NOT SD_CUDA)
# we need this definition to avoid global memory use within mkldnn
add_definitions(-DDNNL_ENABLE_CONCURRENT_EXEC=true)
# there's a chance, we have no BLAS provided externally
if ("${OPENBLAS_PATH}" STREQUAL "")
#we don't want OpenBLAS on Apple
if (NOT APPLE)
# note: this is not a typo
set(BLA_VENDOR "OpenBLAS")
endif()
# look around for system blas instead, see: https://cmake.org/cmake/help/latest/module/FindBLAS.html
find_package(BLAS REQUIRED)
if (BLAS_FOUND)
message("Found external BLAS implementation: ${BLAS_LIBRARIES} ")
add_definitions(-D__EXTERNAL_BLAS__=true)
endif()
else()
# if we have externally provided OPENBLAS_PATH - let's use it
set(HAVE_OPENBLAS 1)
message("Setting openblas")
include_directories(${OPENBLAS_PATH}/include/)
link_directories(${OPENBLAS_PATH} ${OPENBLAS_PATH}/lib/)
set(OPENBLAS_LIBRARIES openblas)
endif()
# building cpu_features
if (SD_X86_BUILD)
add_definitions(-DCPU_FEATURES=true)
set(BUILD_PIC "ON" CACHE STRING "Hack to enforce fPIC mode" FORCE)
configure_file(./CMakeLists.txt.cpu_features.in cpu_features-download/CMakeLists.txt)
message("CMAKE_COMMAND: ${CMAKE_COMMAND}")
execute_process(COMMAND ${CMAKE_COMMAND} -DBUILD_PIC=ON -G "${CMAKE_GENERATOR}" .
RESULT_VARIABLE result
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/cpu_features-download )
if(result)
message(FATAL_ERROR "CMake step for cpu_features failed: ${result}")
endif()
execute_process(COMMAND ${CMAKE_COMMAND} --build .
RESULT_VARIABLE result
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/cpu_features-download )
if(result)
message(FATAL_ERROR "Build step for cpu_features failed: ${result}")
endif()
add_subdirectory(${CMAKE_CURRENT_BINARY_DIR}/cpu_features-src
${CMAKE_CURRENT_BINARY_DIR}/cpu_features-build
EXCLUDE_FROM_ALL)
set(CPUF_SOURCE_DIR ${CMAKE_CURRENT_BINARY_DIR}/cpu_features-src)
include_directories(${CPUF_SOURCE_DIR}/include)
set(CPU_FEATURES cpu_features)
endif()
endif()
# new mkl-dnn entry
if (${HELPERS_mkldnn})
message("Going to pull & build mkldnn")
set(HAVE_MKLDNN 1)
set(DNNL_LIBRARY_TYPE "STATIC" CACHE STRING "Hack to enforce static mode" FORCE)
configure_file(./CMakeLists.txt.mkldnn.in mkldnn-download/CMakeLists.txt)
execute_process(COMMAND ${CMAKE_COMMAND} -G "${CMAKE_GENERATOR}" .
RESULT_VARIABLE result
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/mkldnn-download )
if(result)
message(FATAL_ERROR "CMake step for mkldnn failed: ${result}")
endif()
execute_process(COMMAND ${CMAKE_COMMAND} --build .
RESULT_VARIABLE result
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/mkldnn-download )
if(result)
message(FATAL_ERROR "Build step for mkldnn failed: ${result}")
endif()
add_subdirectory(${CMAKE_CURRENT_BINARY_DIR}/mkldnn-src
${CMAKE_CURRENT_BINARY_DIR}/mkldnn-build
EXCLUDE_FROM_ALL)
set(mkldnn_SOURCE_DIR ${CMAKE_CURRENT_BINARY_DIR}/mkldnn-build)
set(mkldnn_EXT_DIR ${CMAKE_CURRENT_BINARY_DIR}/mkldnn-src)
set(MKLDNN_PATH "${mkldnn_SOURCE_DIR}")
include_directories(${mkldnn_SOURCE_DIR}/include ${mkldnn_EXT_DIR}/include ${mkldnn_SOURCE_DIR})
set(MKLDNN dnnl)
endif()
if (${HELPERS_cudnn})
if (NOT SD_CUDA)
message(FATAL_ERROR "Can't build cuDNN on non-CUDA platform")
endif()
set(CUDNN_ROOT_DIR "" CACHE PATH "Folder contains NVIDIA cuDNN")
# FIXME: we don't want static library in master
SET(CUDNN_LIBNAME "cudnn")
SET(CULIBOS_LIBNAME "culibos")
find_path(CUDNN_INCLUDE_DIR cudnn.h
HINTS ${CUDNN_ROOT_DIR} ${CUDA_TOOLKIT_ROOT_DIR}
PATH_SUFFIXES cuda/include include)
find_library(CUDNN_LIBRARY ${CUDNN_LIBNAME}
HINTS ${CUDNN_ROOT_DIR} ${CUDA_TOOLKIT_ROOT_DIR}
PATH_SUFFIXES lib lib64 cuda/lib cuda/lib64 lib/x64)
find_library(CULIBOS_LIBRARY ${CULIBOS_LIBNAME}
HINTS ${CUDNN_ROOT_DIR} ${CUDA_TOOLKIT_ROOT_DIR}
PATH_SUFFIXES lib lib64 cuda/lib cuda/lib64 lib/x64)
if (CUDNN_LIBRARY)
set(HAVE_CUDNN true)
set(CUDNN ${CUDNN_LIBRARY} ${CULIBOS_LIBRARY})
else()
message(FATAL_ERROR "Unable to find cuDNN")
endif()
endif()
# Download and unpack flatbuffers at configure time
configure_file(CMakeLists.txt.in flatbuffers-download/CMakeLists.txt)
execute_process(COMMAND ${CMAKE_COMMAND} -G "${CMAKE_GENERATOR}" .
RESULT_VARIABLE result
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/flatbuffers-download )
if(result)
message(FATAL_ERROR "CMake step for flatbuffers failed: ${result}")
endif()
execute_process(COMMAND ${CMAKE_COMMAND} --build .
RESULT_VARIABLE result
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/flatbuffers-download )
if(result)
message(FATAL_ERROR "Build step for flatbuffers failed: ${result}")
endif()
# Add flatbuffers directly to our build.
add_subdirectory(${CMAKE_CURRENT_BINARY_DIR}/flatbuffers-src
${CMAKE_CURRENT_BINARY_DIR}/flatbuffers-build
EXCLUDE_FROM_ALL)
set(HAVE_FLATBUFFERS 1)
set(FLATBUFFERS_PATH ${CMAKE_CURRENT_BINARY_DIR}/flatbuffers-src)
include_directories(${FLATBUFFERS_PATH}/include)
configure_file(include/config.h.in include/config.h)
include_directories(${CMAKE_CURRENT_BINARY_DIR}/include)
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/include)
add_subdirectory(blas)
if(SD_BUILD_TESTS)
# tests are always compiled with all ops included
set(SD_ALL_OPS true)
set(SD_BUILD_MINIFIER true)
add_subdirectory(tests_cpu)
endif()
if (MSVC_DEV)
set(SD_BUILD_MINIFIER false)
endif ()
set (CMAKE_INSTALL_PREFIX $ENV{ND4J_HOME}/nd4j-native-parent/nd4j-native/src/main/resources)
# Set package information
set(CPACK_PACKAGE_DESCRIPTION_SUMMARY "Native operations for nd4j.")
set(CPACK_PACKAGE_RELEASE 1)
set(CPACK_PACKAGE_CONTACT "raver119 <raver119@skymind.io>")
set(CPACK_PACKAGE_VENDOR "Skymind")
set(CPACK_SETDESTDIR "false")
set(CPACK_PACKAGING_INSTALL_PREFIX "/usr/local/lib")
set(CPACK_PACKAGE_NAME "libnd4j")
set(CPACK_PACKAGE_VERSION_MAJOR "0")
set(CPACK_PACKAGE_VERSION_MINOR "8")
set(CPACK_PACKAGE_VERSION_PATCH "0")
set(CPACK_PACKAGE_VERSION "${CPACK_PACKAGE_VERSION_MAJOR}.${CPACK_PACKAGE_VERSION_MINOR}.${CPACK_PACKAGE_VERSION_PATCH}")
set(CPACK_PACKAGE_INSTALL_DIRECTORY "libnd4j")
set(CPACK_RESOURCE_FILE_LICENSE "${CMAKE_CURRENT_SOURCE_DIR}/LICENSE")
set(CPACK_RESOURCE_FILE_README "${CMAKE_CURRENT_SOURCE_DIR}/README.md")
# Determine distribution and release — may require redhat-lsb-core installed on CentOS / RH
execute_process(COMMAND lsb_release -si OUTPUT_VARIABLE DISTRIBUTION OUTPUT_STRIP_TRAILING_WHITESPACE)
execute_process(COMMAND lsb_release -sc OUTPUT_VARIABLE RELEASE OUTPUT_STRIP_TRAILING_WHITESPACE)
execute_process(COMMAND uname -i OUTPUT_VARIABLE ARCHITECTURE)
# Set package name and type (deb vs rpm)
if(DISTRIBUTION STREQUAL "Ubuntu")
# Set Ubuntu-specific information (see http://www.cmake.org/Wiki/CMake:CPackPackageGenerators)
if(ARCHITECTURE MATCHES ".*x86_64.*")
set(CPACK_DEBIAN_PACKAGE_ARCHITECTURE "amd64")
else()
set(CPACK_DEBIAN_PACKAGE_ARCHITECTURE "i386")
endif()
set(CPACK_DEBIAN_PACKAGE_MAINTAINER "raver119")
set(CPACK_DEBIAN_PACKAGE_SECTION "devel")
set(CPACK_DEBIAN_PACKAGE_RECOMMENDS "cuda")
# For Ubuntu <= 12, libatlas3gf-base, liblapack3gf
# Build deps: libatlas3-base liblapack3 libopenblas-dev libatlas-dev liblapack-dev gcc-5 g++-5
set(CPACK_DEBIAN_PACKAGE_DEPENDS "")
set(CPACK_DEBIAN_PACKAGE_HOMEPAGE "https://github.com/deeplearning4j/libnd4j")
set(CPACK_GENERATOR "DEB")
set(CPACK_PACKAGE_FILE_NAME ${CPACK_PACKAGE_NAME}_${CPACK_PACKAGE_VERSION}-${RELEASE}_${CPACK_DEBIAN_PACKAGE_ARCHITECTURE})
set(CPACK_DEBIAN_PACKAGE_CONTROL_EXTRA "${CMAKE_CURRENT_SOURCE_DIR}/cmake/postinst;${CMAKE_CURRENT_SOURCE_DIR}/cmake/postrm;" )
elseif(DISTRIBUTION STREQUAL "CentOS")
# Set Fedora-specific information (see http://www.cmake.org/Wiki/CMake:CPackPackageGenerators)
execute_process(COMMAND lsb_release -sr OUTPUT_VARIABLE RELEASE OUTPUT_STRIP_TRAILING_WHITESPACE)
if(ARCHITECTURE MATCHES ".*x86_64.*")
set(CPACK_RPM_PACKAGE_ARCHITECTURE "x86_64")
else()
set(CPACK_RPM_PACKAGE_ARCHITECTURE "i686")
endif()
set(CPACK_PACKAGE_CONTACT "raver119")
set(CPACK_RPM_PACKAGE_GROUP "Development/Tools")
set(CPACK_RPM_PACKAGE_LICENSE "Apache-2.0")
set(CPACK_RPM_PACKAGE_SUGGESTS "cuda")
# Build deps: atlas blas lapack cmake3 devtoolset-4-gcc devtoolset-4-gcc-c++
set(CPACK_RPM_PACKAGE_REQUIRES "")
set(CPACK_RPM_PACKAGE_URL "https://github.com/deeplearning4j/libnd4j")
set(CPACK_GENERATOR "RPM")
set(CPACK_PACKAGE_FILE_NAME ${CPACK_PACKAGE_NAME}-${CPACK_PACKAGE_VERSION}.fc${RELEASE}.${CPACK_RPM_PACKAGE_ARCHITECTURE})
set(CPACK_RPM_POST_INSTALL_SCRIPT_FILE "${CMAKE_CURRENT_SOURCE_DIR}/cmake/postinst")
set(CPACK_RPM_POST_UNINSTALL_SCRIPT_FILE "${CMAKE_CURRENT_SOURCE_DIR}/cmake/postrm")
set(CPACK_RPM_EXCLUDE_FROM_AUTO_FILELIST_ADDITION "/usr/local/lib")
endif()
include(CPack)
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