Ubuntu 14.04上使用CMake编译MXNet源码操作步骤(Python)

MXNet源码版本号为1.3.0，其它依赖库的版本号可参考：https://blog.csdn.net/fengbingchun/article/details/84997490 。

为了通过编译源码支持python接口，这里在 https://blog.csdn.net/fengbingchun/article/details/85162936  的基础上对build.sh和CMakeLists.txt进行了调整，新的build.sh和CMakeLists.txt内容如下：

build.sh:

#! /bin/bashreal_path=$(realpath $0)
dir_name=`dirname "${real_path}"`
echo "real_path: ${real_path}, dir_name: ${dir_name}"data_dir="data"
if [ -d ${dir_name}/${data_dir} ]; thenrm -rf ${dir_name}/${data_dir}
filn -s ${dir_name}/./../../${data_dir} ${dir_name}new_dir_name=${dir_name}/build
mkdir -p ${new_dir_name}
cd ${new_dir_name}
echo "pos: ${new_dir_name}"
if [ "$(ls -A ${new_dir_name})" ]; thenecho "directory is not empty: ${new_dir_name}"#rm -r *
elseecho "directory is empty: ${new_dir_name}"
ficd -
# build openblas
echo "========== start build openblas =========="
openblas_path=${dir_name}/../../src/openblas
if [ -f ${openblas_path}/build/lib/libopenblas.so ]; thenecho "openblas dynamic library already exists without recompiling"
elsemkdir -p ${openblas_path}/buildcd ${openblas_path}/buildcmake  -DBUILD_SHARED_LIBS=ON ..make
filn -s ${openblas_path}/build/lib/libopenblas* ${new_dir_name}
echo "========== finish build openblas =========="cd -
rc=$?
if [[ ${rc} != 0 ]]; thenecho "########## Error: some of thess commands have errors above, please check"exit ${rc}
ficd -
cd ${new_dir_name}
cmake ..
makecd -
# use all *.o files include openblas and mxnet to generate mxnet dynamic library
# Note: need to modify mxnet_home_dir value in different machines
mxnet_home_dir=/home/likewise-open/xxxx/fengbc/Other/MXNet_Test/src
g++ -shared -o ${dir_name}/libmxnet.so ${openblas_path}/build/driver/others/CMakeFiles/driver_others.dir/*.c.o \${openblas_path}/build/driver/level2/CMakeFiles/driver_level2.dir/CMakeFiles/*.c.o \${openblas_path}/build/driver/level3/CMakeFiles/driver_level3.dir/CMakeFiles/*.c.o \${openblas_path}/build/kernel/CMakeFiles/kernel.dir/CMakeFiles/*.c.o \${openblas_path}/build/interface/CMakeFiles/interface.dir/CMakeFiles/*.c.o \${openblas_path}/build/kernel/CMakeFiles/kernel.dir/CMakeFiles/*.S.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/storage/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/executor/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/profiler/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/engine/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/nnvm/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/kvstore/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/common/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/ndarray/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/io/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/quantization/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/quantization/mkldnn/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/nnpack/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/contrib/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/random/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/nn/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/nn/cudnn/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/nn/mkldnn/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/tensor/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/operator/custom/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/imperative/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/mxnet/src/c_api/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/tvm/nnvm/src/core/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/tvm/nnvm/src/pass/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/tvm/nnvm/src/c_api/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/dmlc-core/src/*.cc.o \${dir_name}/build/CMakeFiles/mxnet.dir${mxnet_home_dir}/dmlc-core/src/io/*.cc.o \-lrt mxnet_python_dir=${dir_name}/../../src/mxnet/python
#echo "mxnet python dir: ${mxnet_python_dir}"
cp libmxnet.so ${mxnet_python_dir}
cd ${mxnet_python_dir}
python3 setup.py install --usercd -

CMakeLists.txt：

PROJECT(MXNet_Test)
CMAKE_MINIMUM_REQUIRED(VERSION 3.0)# support C++11
SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -std=c11")
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")
# support C++14, when gcc version > 5.1, use -std=c++14 instead of c++1y
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++1y")IF(NOT CMAKE_BUILD_TYPE)SET(CMAKE_BUILD_TYPE "Release")SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wall -O2")SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -O2")
ELSE()SET(CMAKE_BUILD_TYPE "Debug")SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -g -Wall -O2")SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -Wall -O2")
ENDIF()
MESSAGE(STATUS "cmake build type: ${CMAKE_BUILD_TYPE}")MESSAGE(STATUS "cmake current source dir: ${CMAKE_CURRENT_SOURCE_DIR}")
SET(PATH_TEST_FILES ${CMAKE_CURRENT_SOURCE_DIR}/./../../demo/MXNet_Test)
SET(PATH_SRC_DMLC_FILES ${CMAKE_CURRENT_SOURCE_DIR}/./../../src/dmlc-core)
SET(PATH_SRC_MSHADOW_FILES ${CMAKE_CURRENT_SOURCE_DIR}/./../../src/mshadow)
SET(PATH_SRC_OPENBLAS_FILES ${CMAKE_CURRENT_SOURCE_DIR}/./../../src/openblas)
SET(PATH_SRC_MXNET_FILES ${CMAKE_CURRENT_SOURCE_DIR}/./../../src/mxnet)
SET(PATH_SRC_TVM_FILES ${CMAKE_CURRENT_SOURCE_DIR}/./../../src/tvm)
SET(PATH_SRC_DLPACK_FILES ${CMAKE_CURRENT_SOURCE_DIR}/./../../src/dlpack)
MESSAGE(STATUS "path test files: ${PATH_TEST_FILES}")# don't use opencv in mxnet
ADD_DEFINITIONS(-DMXNET_USE_OPENCV=0)
ADD_DEFINITIONS(-DMSHADOW_USE_F16C=0)SET(PATH_OPENCV /opt/opencv3.4.2)
IF(EXISTS ${PATH_OPENCV})MESSAGE(STATUS "Found OpenCV: ${PATH_OPENCV}")
ELSE()MESSAGE(FATAL_ERROR "Can not find OpenCV in ${PATH_OPENCV}")
ENDIF()# head file search path
INCLUDE_DIRECTORIES(${PATH_SRC_OPENBLAS_FILES}${PATH_SRC_OPENBLAS_FILES}/build # include openblas config.h${PATH_SRC_DLPACK_FILES}/include${PATH_SRC_MSHADOW_FILES}${PATH_SRC_DMLC_FILES}/include${PATH_SRC_TVM_FILES}/include${PATH_SRC_TVM_FILES}/nnvm/include${PATH_SRC_MXNET_FILES}/src${PATH_SRC_MXNET_FILES}/include${PATH_SRC_MXNET_FILES}/cpp-package/include${PATH_OPENCV}/include${PATH_TEST_FILES}
)# build mxnet dynamic library
SET(MXNET_SRC_LIST )# tvm
FILE(GLOB_RECURSE SRC_TVM_NNVM_C_API ${PATH_SRC_TVM_FILES}/nnvm/src/c_api/*.cc)
FILE(GLOB_RECURSE SRC_TVM_NNVM_CORE ${PATH_SRC_TVM_FILES}/nnvm/src/core/*.cc)
FILE(GLOB_RECURSE SRC_TVM_NNVM_PASS ${PATH_SRC_TVM_FILES}/nnvm/src/pass/*.cc)# mxnet
FILE(GLOB_RECURSE SRC_MXNET ${PATH_SRC_MXNET_FILES}/src/*.cc)# dmlc
FILE(GLOB SRC_DMLC ${PATH_SRC_DMLC_FILES}/src/*.cc)
FILE(GLOB_RECURSE SRC_DMLC_INCLUDE ${PATH_SRC_DMLC_FILES}/include/*)
LIST(APPEND SRC_DMLC ${SRC_DMLC_INCLUDE})
LIST(APPEND SRC_DMLC ${PATH_SRC_DMLC_FILES}/src/io/line_split.cc)
LIST(APPEND SRC_DMLC ${PATH_SRC_DMLC_FILES}/src/io/recordio_split.cc)
LIST(APPEND SRC_DMLC ${PATH_SRC_DMLC_FILES}/src/io/indexed_recordio_split.cc)
LIST(APPEND SRC_DMLC ${PATH_SRC_DMLC_FILES}/src/io/input_split_base.cc)
LIST(APPEND SRC_DMLC ${PATH_SRC_DMLC_FILES}/src/io/filesys.cc)
LIST(APPEND SRC_DMLC ${PATH_SRC_DMLC_FILES}/src/io/local_filesys.cc)LIST(APPEND MXNET_SRC_LIST${SRC_TVM_NNVM_C_API}${SRC_TVM_NNVM_CORE}${SRC_TVM_NNVM_PASS}${SRC_MXNET}${SRC_DMLC}
)
#MESSAGE(STATUS "###### src: ${MXNET_SRC_LIST}")ADD_LIBRARY(mxnet SHARED ${MXNET_SRC_LIST})# find opencv library
FIND_LIBRARY(opencv_core NAMES opencv_core PATHS ${PATH_OPENCV}/lib NO_DEFAULT_PATH)
FIND_LIBRARY(opencv_imgproc NAMES opencv_imgproc PATHS ${PATH_OPENCV}/lib NO_DEFAULT_PATH)
FIND_LIBRARY(opencv_highgui NAMES opencv_highgui PATHS ${PATH_OPENCV}/lib NO_DEFAULT_PATH)
FIND_LIBRARY(opencv_imgcodecs NAMES opencv_imgcodecs PATHS ${PATH_OPENCV}/lib NO_DEFAULT_PATH)
FIND_LIBRARY(opencv_video NAMES opencv_video PATHS ${PATH_OPENCV}/lib NO_DEFAULT_PATH)
FIND_LIBRARY(opencv_videoio NAMES opencv_videoio PATHS ${PATH_OPENCV}/lib NO_DEFAULT_PATH)
FIND_LIBRARY(opencv_objdetect NAMES opencv_objdetect PATHS ${PATH_OPENCV}/lib NO_DEFAULT_PATH)
FIND_LIBRARY(opencv_ml NAMES opencv_ml PATHS ${PATH_OPENCV}/lib NO_DEFAULT_PATH)
MESSAGE(STATUS "opencv libraries: ${opencv_core} ${opencv_imgproc} ${opencv_highgui} ${opencv_imgcodecs} ${opencv_video} ${opencv_videoio} ${opencv_objdetect} ${opencv_ml}")# find dep library
SET(DEP_LIB_DIR ${CMAKE_CURRENT_SOURCE_DIR}/build CACHE PATH "dep library path")
MESSAGE(STATUS "dep library dir: ${DEP_LIB_DIR}")
LINK_DIRECTORIES(${DEP_LIB_DIR})# recursive query match files :*.cpp, *.cc
FILE(GLOB_RECURSE TEST_CPP_LIST ${PATH_TEST_FILES}/*.cpp)
FILE(GLOB_RECURSE TEST_CC_LIST ${PATH_TEST_FILES}/*.cc)
MESSAGE(STATUS "test cpp list: ${TEST_CPP_LIST} ${TEST_C_LIST}")# build executable program
ADD_EXECUTABLE(MXNet_Test ${TEST_CPP_LIST} ${TEST_CC_LIST})
# add dependent library: static and dynamic
TARGET_LINK_LIBRARIES(MXNet_Testmxnet${DEP_LIB_DIR}/libopenblas.sopthreadrt # undefined reference to shm_open, need to be placed in front of opencv library${opencv_core}${opencv_imgproc}${opencv_highgui}${opencv_imgcodecs}${opencv_video}${opencv_videoio}${opencv_objdetect}${opencv_ml}
)

在ubuntu上安装pip3,numpy,matplotlib等的操作步骤可以参考：https://blog.csdn.net/fengbingchun/article/details/81590102

在ubuntu上安装OpenCV 3.4.2 python的操作步骤可以参考：https://blog.csdn.net/fengbingchun/article/details/81741384

遇到的问题如下：

(1). 直接通过以下两种命令安装均会提示安装某软件时无权限等问题，可能因非root用户原因，

pip3 install -epython3 setup.py install

解决方法是在命令后加--user选项参数，如：python3 setup.py install --user

(2). 在跑python测试代码时，提示libmxnet.so中找不到dmlc库中的实现，解决方法是将dmlc中相关.cc文件直接加入libmxnet.so中，不再单独生成一个libdmlc.a静态库；

(3). 在跑python测试代码时，提示libmxnet.so: undefined symbol: cblas_ddot，应该是找不到libopenblas.so库，但是试过几种方法依然不行，解决方法是将libopenblas.so中的*.o文件直接加入到libmxnet.so中，不再单独提供一个libopenblas.so库，即所有需要的实现全部放在libmxnet.so库中；

(4). 在跑python测试代码时，提示libmxnet.so: undefined symbol: zlapmr_等错误，因为是lapack或gfortran等问题，解决方法是修改原openblas中的CMakeLists.txt文件，使其在linux下编译时仅开启CBLAS，与windows一致，即加一条option(BUILD_WITHOUT_LAPACK "Without LAPACK and LAPACKE (Only BLAS or CBLAS)" ON)语句；

执行./build.sh脚本后，会同时产生C++和Python所需的库，Python所需的文件会安装到home的.local目录下，执行结果如下：

以下是Python测试代码，执行结果如下：

import mxnet as mx
import numpy as np
import cv2img = cv2.imread("../../data/images/handwritten_digits/0.png")
a = mx.nd.ones((2, 3)); print((a*2).asnumpy())
b = np.array([1, 2, 3]); print(b)cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()print("ok")

注：在不同的机子上执行build.sh脚本时，需要修改变量mxnet_home_dir的值，调整成本机MXNet_Test/src绝对路径值。

GitHub：https://github.com/fengbingchun/MXNet_Test