ubuntu16.04 matlab2017b 编译caffe的matlab接口 吐血经历 解决几乎所有make mattest问题

原本只用编译好的caffe来finetune,不需配置接口，两天就配好了
然而为了中间层输出，要配置matlab接口，花了一个星期才搞定。
服务器的版本情况是：
ubuntu16.04 cuda8.0 opencv3.3.0 protobuf2.6.1 matlab2017b gcc5.4

编译caffe，按照其他博客的教程很快就弄好了

make all -j16
make test -j16
make runtest -j16

之后需要改一下makefile.config的matlab的安装地址和makefile文件的两处地方，

make matcaffe -j16

能成功，结果如下：

MEX matlab/+caffe/private/caffe_.cpp
Building with 'g++'.
Warning: You are using gcc version '5.4.0'. The version of gcc is not supported. The version currently supported with MEX is '4.9.x'. For a list of currently supported compilers see: http://www.mathworks.com/support/compilers/current_release.
MEX completed successfully.

忽略掉warning,别没事找事给gcc降级，之后会连caffe都编译不过

之后

make mattest 

出现一系列问题，（对于matlab2014,2015版本的基本上参考链接的博客都可以解决）
大都是matlab的库和系统库的冲突引起的：
一些是undefined symbol:的问题：

export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libopencv_highgui.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_core.so.2.4:/usr/lib/x86_64-linux-gnu/libstdc++.so.6:/usr/lib/x86_64-linux-gnu/libfreetype.so.6:/usr/lib/x86_64-linux-gnu/libstdc++.so.6
export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/:/usr/local/cuda-8.0/lib64

若还出现一些libtiff.so.5的相关错误，则把libtiff.so.5也加进去LD_PRELOAD
则：

export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/:/usr/local/cuda-8.0/lib64      
export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libopencv_highgui.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_core.so.2.4:/usr/lib/x86_64-linux-gnu/libstdc++.so.6:/usr/lib/x86_64-linux-gnu/libfreetype.so.6:/usr/lib/x86_64-linux-gnu/libtiff.so.5

注意export只是临时有效的，若要永久有效，写入环境变量

vim ~/.bashrc
//末尾添加
export LD_PRELOAD=
export LD_LIBRARY_PATH=
//刷新
source ~/.bashrc

写入内容参考前面内容，对于matlab2014,2015版本都能解决

对于matlab2017b
楼主遇到如下问题：

cd matlab; /usr/local/matlab/2017b/bin/matlab -nodisplay -r 'caffe.run_tests(), exit()'

                                                                                  < M A T L A B (R) >
                                                                        Copyright 1984-2017 The MathWorks, Inc.
                                                                        R2017b (9.3.0.713579) 64-bit (glnxa64)
                                                                                  September 14, 2017

 
To get started, type one of these: helpwin, helpdesk, or demo.
For product information, visit www.mathworks.com.
 
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE5rfindEcm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE7compareEPKc' required by
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Missing symbol '_ZNSt13runtime_errorC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_replaceEmmPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE14_M_replace_auxEmmmc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE8_M_eraseEmm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_appendEPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_assignERKS4_' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_createERmm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_mutateEmmPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEED1Ev' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIwSt11char_traitsIwESaIwEE10_M_replaceEmmPKwm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE5rfindEcm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE7compareEPKc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_replaceEmmPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE14_M_replace_auxEmmmc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE4swapERS4_' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE6resizeEmc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE7reserveEm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_appendEPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_assignERKS4_' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_createERmm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_mutateEmmPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE6resizeEmc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_appendEPKcm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE4findEcm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE4findEPKcmm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE5rfindEcm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE7compareEPKc' required by
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Missing symbol '_ZNKSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE3strEv' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_replaceEmmPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE14_M_replace_auxEmmmc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE6assignEPKc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE7reserveEm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_appendEPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_assignERKS4_' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_createERmm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_mutateEmmPKcm' required by
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Missing symbol '_ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE7_M_syncEPcmm' required by
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Missing symbol '_ZNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEED1Ev' required by
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Missing symbol '_ZNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEED1Ev' required by
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Missing symbol '_ZNSt7__cxx1119basic_ostringstreamIcSt11char_traitsIcESaIcEEC1ESt13_Ios_Openmode' required by
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Missing symbol '_ZNSt7__cxx1119basic_ostringstreamIcSt11char_traitsIcESaIcEED1Ev' required by
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Missing symbol '_ZSt7getlineIcSt11char_traitsIcESaIcEERSt13basic_istreamIT_T0_ES7_RNSt7__cxx1112basic_stringIS4_S5_T1_EES4_' required by
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Missing symbol '_ZStrsIcSt11char_traitsIcESaIcEERSt13basic_istreamIT_T0_ES7_RNSt7__cxx1112basic_stringIS4_S5_T1_EE' required by
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Missing symbol '_ZTTNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZTTNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZTTNSt7__cxx1119basic_ostringstreamIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZTVNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZTVNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZTVNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZTVNSt7__cxx1119basic_ostringstreamIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_assignERKS4_' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_createERmm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE4findEcm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE5rfindEcm' required by
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Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE7compareEPKc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_replaceEmmPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE14_M_replace_auxEmmmc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE6assignEPKc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE6resizeEmc' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE7reserveEm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE8_M_eraseEmm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_appendEPKcm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_assignERKS4_' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_createERmm' required by
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Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEED1Ev' required by
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Missing symbol '_ZNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEEC1ESt13_Ios_Openmode' required by
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Missing symbol '_ZNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEED1Ev' required by
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Missing symbol '_ZTTNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZTTNSt7__cxx1119basic_ostringstreamIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZTVNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_ZTVNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEEE' required by
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Missing symbol '_Py_NotImplementedStruct' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_Add' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_And' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_Divide' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceAdd' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceAnd' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceDivide' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceLshift' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceMultiply' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceOr' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceRemainder' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceRshift' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceSubtract' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_InPlaceXor' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_Lshift' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_Multiply' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_Or' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_Remainder' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_Rshift' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_Subtract' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyNumber_Xor' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_CallFunction' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_CallMethod' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_ClearWeakRefs' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_DelItem' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_GetAttr' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_GetAttrString' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_GetItem' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_IsInstance' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_IsTrue' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_PyObject_New' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_RichCompare' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_SetAttr' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_SetAttrString' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_SetItem' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyObject_Size' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyProperty_Type' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyRun_FileExFlags' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyRun_StringFlags' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PySequence_DelSlice' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PySequence_GetSlice' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PySequence_SetSlice' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PySlice_New' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyStaticMethod_New' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyStaticMethod_Type' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyString_AsString' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyString_FromFormat' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyString_FromString' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyString_FromStringAndSize' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyString_InternFromString' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyString_Size' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyString_Type' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyTuple_GetItem' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyTuple_New' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyTuple_Size' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyTuple_Type' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyType_GenericAlloc' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyType_IsSubtype' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_PyType_Lookup' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyType_Ready' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyType_Type' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyUnicode_Type' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyUnicodeUCS4_AsWideChar' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyUnicodeUCS4_FromEncodedObject' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol 'PyWeakref_NewRef' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNKSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE7compareEPKc' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt11range_errorC1ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt13runtime_errorC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt13runtime_errorC2ERKS_' required by '/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt16invalid_argumentC1ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_replaceEmmPKcm' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructEmc' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_appendEPKcm' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_createERmm' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEED1Ev' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt7__cxx1112basic_stringIwSt11char_traitsIwESaIwEE12_M_constructEmw' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'
Missing symbol '_ZNSt7__cxx1112basic_stringIwSt11char_traitsIwESaIwEE9_M_createERmm' required by
'/usr/lib/x86_64-linux-gnu/libboost_python-py27.so.1.58.0->/mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64'.

Error in caffe.set_mode_cpu (line 5)
caffe_('set_mode_cpu');

Error in caffe.run_tests (line 6)
caffe.set_mode_cpu();
 
>> 
[1]+  Stopped                 make mattest -j16

楼主按照前文方法改一下具体的库

export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6:/usr/lib/x86_64-linux-gnu/libprotobuf.so.9

出现新的问题：

cd matlab; /usr/local/matlab/2017b/bin/matlab -nodisplay -r 'caffe.run_tests(), exit()'

                                                                                  < M A T L A B (R) >
                                                                        Copyright 1984-2017 The MathWorks, Inc.
                                                                        R2017b (9.3.0.713579) 64-bit (glnxa64)
                                                                                  September 14, 2017

 
To get started, type one of these: helpwin, helpdesk, or demo.
For product information, visit www.mathworks.com.
 
Cleared 0 solvers and 0 stand-alone nets
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0522 09:53:49.203147 167798 net.cpp:53] Initializing net from parameters: 
name: "testnet"
force_backward: true
state {
  phase: TRAIN
  level: 0
}
layer {
  name: "data"
  type: "DummyData"
  top: "data"
  top: "label"
  dummy_data_param {
    data_filler {
      type: "gaussian"
      std: 1
    }
    data_filler {
      type: "constant"
    }
    num: 5
    num: 5
    channels: 2
    channels: 1
    height: 3
    height: 1
    width: 4
    width: 1
  }
}
layer {
  name: "conv"
  type: "Convolution"
  bottom: "data"
  top: "conv"
  param {
    decay_mult: 1
  }
  param {
    decay_mult: 0
  }
  convolution_param {
    num_output: 11
    pad: 3
    kernel_size: 2
    weight_filler {
      type: "gaussian"
      std: 1
    }
    bias_filler {
      type: "constant"
      value: 2
    }
  }
}
layer {
  name: "ip"
  type: "InnerProduct"
  bottom: "conv"
  top: "ip"
  inner_product_param {
    num_output: 13
    weight_filler {
      type: "gaussian"
      std: 2.5
    }
    bias_filler {
      type: "constant"
      value: -3
    }
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "ip"
  bottom: "label"
  top: "loss"
}
I0522 09:53:49.205015 167798 layer_factory.hpp:77] Creating layer data
I0522 09:53:49.205099 167798 net.cpp:86] Creating Layer data
I0522 09:53:49.205163 167798 net.cpp:382] data -> data
I0522 09:53:49.205230 167798 net.cpp:382] data -> label
I0522 09:53:49.205283 167798 net.cpp:124] Setting up data
I0522 09:53:49.205329 167798 net.cpp:131] Top shape: 5 2 3 4 (120)
I0522 09:53:49.205358 167798 net.cpp:131] Top shape: 5 1 1 1 (5)
I0522 09:53:49.205385 167798 net.cpp:139] Memory required for data: 500
I0522 09:53:49.205412 167798 layer_factory.hpp:77] Creating layer conv
I0522 09:53:49.205447 167798 net.cpp:86] Creating Layer conv
I0522 09:53:49.205474 167798 net.cpp:408] conv <- data
I0522 09:53:49.205507 167798 net.cpp:382] conv -> conv
I0522 09:53:49.205559 167798 net.cpp:124] Setting up conv
I0522 09:53:49.205591 167798 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0522 09:53:49.205617 167798 net.cpp:139] Memory required for data: 16340
I0522 09:53:49.205651 167798 layer_factory.hpp:77] Creating layer ip
I0522 09:53:49.205682 167798 net.cpp:86] Creating Layer ip
I0522 09:53:49.205709 167798 net.cpp:408] ip <- conv
I0522 09:53:49.205741 167798 net.cpp:382] ip -> ip
I0522 09:53:49.205932 167798 net.cpp:124] Setting up ip
I0522 09:53:49.205976 167798 net.cpp:131] Top shape: 5 13 (65)
I0522 09:53:49.206012 167798 net.cpp:139] Memory required for data: 16600
I0522 09:53:49.206050 167798 layer_factory.hpp:77] Creating layer loss
I0522 09:53:49.206089 167798 net.cpp:86] Creating Layer loss
I0522 09:53:49.206125 167798 net.cpp:408] loss <- ip
I0522 09:53:49.206158 167798 net.cpp:408] loss <- label
I0522 09:53:49.206194 167798 net.cpp:382] loss -> loss
I0522 09:53:49.206236 167798 layer_factory.hpp:77] Creating layer loss
I0522 09:53:49.206282 167798 net.cpp:124] Setting up loss
I0522 09:53:49.206321 167798 net.cpp:131] Top shape: (1)
I0522 09:53:49.206354 167798 net.cpp:134]     with loss weight 1
I0522 09:53:49.206404 167798 net.cpp:139] Memory required for data: 16604
I0522 09:53:49.206439 167798 net.cpp:200] loss needs backward computation.
I0522 09:53:49.206476 167798 net.cpp:200] ip needs backward computation.
I0522 09:53:49.206511 167798 net.cpp:200] conv needs backward computation.
I0522 09:53:49.206545 167798 net.cpp:202] data does not need backward computation.
I0522 09:53:49.206581 167798 net.cpp:244] This network produces output loss
I0522 09:53:49.206619 167798 net.cpp:257] Network initialization done.
I0522 09:53:49.237085 167798 net.cpp:53] Initializing net from parameters: 
name: "testnet"
force_backward: true
state {
  phase: TRAIN
  level: 0
}
layer {
  name: "data"
  type: "DummyData"
  top: "data"
  top: "label"
  dummy_data_param {
    data_filler {
      type: "gaussian"
      std: 1
    }
    data_filler {
      type: "constant"
    }
    num: 5
    num: 5
    channels: 2
    channels: 1
    height: 3
    height: 1
    width: 4
    width: 1
  }
}
layer {
  name: "conv"
  type: "Convolution"
  bottom: "data"
  top: "conv"
  param {
    decay_mult: 1
  }
  param {
    decay_mult: 0
  }
  convolution_param {
    num_output: 11
    pad: 3
    kernel_size: 2
    weight_filler {
      type: "gaussian"
      std: 1
    }
    bias_filler {
      type: "constant"
      value: 2
    }
  }
}
layer {
  name: "ip"
  type: "InnerProduct"
  bottom: "conv"
  top: "ip"
  inner_product_param {
    num_output: 13
    weight_filler {
      type: "gaussian"
      std: 2.5
    }
    bias_filler {
      type: "constant"
      value: -3
    }
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "ip"
  bottom: "label"
  top: "loss"
}
I0522 09:53:49.237298 167798 layer_factory.hpp:77] Creating layer data
I0522 09:53:49.237334 167798 net.cpp:86] Creating Layer data
I0522 09:53:49.237344 167798 net.cpp:382] data -> data
I0522 09:53:49.237361 167798 net.cpp:382] data -> label
I0522 09:53:49.237381 167798 net.cpp:124] Setting up data
I0522 09:53:49.237393 167798 net.cpp:131] Top shape: 5 2 3 4 (120)
I0522 09:53:49.237401 167798 net.cpp:131] Top shape: 5 1 1 1 (5)
I0522 09:53:49.237407 167798 net.cpp:139] Memory required for data: 500
I0522 09:53:49.237413 167798 layer_factory.hpp:77] Creating layer conv
I0522 09:53:49.237442 167798 net.cpp:86] Creating Layer conv
I0522 09:53:49.237449 167798 net.cpp:408] conv <- data
I0522 09:53:49.237460 167798 net.cpp:382] conv -> conv
I0522 09:53:49.237496 167798 net.cpp:124] Setting up conv
I0522 09:53:49.237505 167798 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0522 09:53:49.237510 167798 net.cpp:139] Memory required for data: 16340
I0522 09:53:49.237524 167798 layer_factory.hpp:77] Creating layer ip
I0522 09:53:49.237532 167798 net.cpp:86] Creating Layer ip
I0522 09:53:49.237538 167798 net.cpp:408] ip <- conv
I0522 09:53:49.237546 167798 net.cpp:382] ip -> ip
I0522 09:53:49.237707 167798 net.cpp:124] Setting up ip
I0522 09:53:49.237720 167798 net.cpp:131] Top shape: 5 13 (65)
I0522 09:53:49.237726 167798 net.cpp:139] Memory required for data: 16600
I0522 09:53:49.237736 167798 layer_factory.hpp:77] Creating layer loss
I0522 09:53:49.237746 167798 net.cpp:86] Creating Layer loss
I0522 09:53:49.237752 167798 net.cpp:408] loss <- ip
I0522 09:53:49.237758 167798 net.cpp:408] loss <- label
I0522 09:53:49.237771 167798 net.cpp:382] loss -> loss
I0522 09:53:49.237782 167798 layer_factory.hpp:77] Creating layer loss
I0522 09:53:49.237802 167798 net.cpp:124] Setting up loss
I0522 09:53:49.237810 167798 net.cpp:131] Top shape: (1)
I0522 09:53:49.237815 167798 net.cpp:134]     with loss weight 1
I0522 09:53:49.237831 167798 net.cpp:139] Memory required for data: 16604
I0522 09:53:49.237838 167798 net.cpp:200] loss needs backward computation.
I0522 09:53:49.237844 167798 net.cpp:200] ip needs backward computation.
I0522 09:53:49.237850 167798 net.cpp:200] conv needs backward computation.
I0522 09:53:49.237857 167798 net.cpp:202] data does not need backward computation.
I0522 09:53:49.237864 167798 net.cpp:244] This network produces output loss
I0522 09:53:49.237875 167798 net.cpp:257] Network initialization done.
Running caffe.test.test_net
..W0522 09:53:57.621332 167798 net.hpp:41] DEPRECATED: ForwardPrefilled() will be removed in a future version. Use Forward().
..I0522 09:53:57.833024 167798 net.cpp:53] Initializing net from parameters: 
name: "testnet"
force_backward: true
state {
  phase: TRAIN
  level: 0
}
layer {
  name: "data"
  type: "DummyData"
  top: "data"
  top: "label"
  dummy_data_param {
    data_filler {
      type: "gaussian"
      std: 1
    }
    data_filler {
      type: "constant"
    }
    num: 5
    num: 5
    channels: 2
    channels: 1
    height: 3
    height: 1
    width: 4
    width: 1
  }
}
layer {
  name: "conv"
  type: "Convolution"
  bottom: "data"
  top: "conv"
  param {
    decay_mult: 1
  }
  param {
    decay_mult: 0
  }
  convolution_param {
    num_output: 11
    pad: 3
    kernel_size: 2
    weight_filler {
      type: "gaussian"
      std: 1
    }
    bias_filler {
      type: "constant"
      value: 2
    }
  }
}
layer {
  name: "ip"
  type: "InnerProduct"
  bottom: "conv"
  top: "ip"
  inner_product_param {
    num_output: 13
    weight_filler {
      type: "gaussian"
      std: 2.5
    }
    bias_filler {
      type: "constant"
      value: -3
    }
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "ip"
  bottom: "label"
  top: "loss"
}
I0522 09:53:57.834883 167798 layer_factory.hpp:77] Creating layer data
I0522 09:53:57.834931 167798 net.cpp:86] Creating Layer data
I0522 09:53:57.834975 167798 net.cpp:382] data -> data
I0522 09:53:57.835016 167798 net.cpp:382] data -> label
I0522 09:53:57.835067 167798 net.cpp:124] Setting up data
I0522 09:53:57.835108 167798 net.cpp:131] Top shape: 5 2 3 4 (120)
I0522 09:53:57.835144 167798 net.cpp:131] Top shape: 5 1 1 1 (5)
I0522 09:53:57.835175 167798 net.cpp:139] Memory required for data: 500
I0522 09:53:57.835207 167798 layer_factory.hpp:77] Creating layer conv
I0522 09:53:57.835253 167798 net.cpp:86] Creating Layer conv
I0522 09:53:57.835286 167798 net.cpp:408] conv <- data
I0522 09:53:57.835322 167798 net.cpp:382] conv -> conv
I0522 09:53:57.835386 167798 net.cpp:124] Setting up conv
I0522 09:53:57.835425 167798 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0522 09:53:57.835456 167798 net.cpp:139] Memory required for data: 16340
I0522 09:53:57.835495 167798 layer_factory.hpp:77] Creating layer ip
I0522 09:53:57.835532 167798 net.cpp:86] Creating Layer ip
I0522 09:53:57.835573 167798 net.cpp:408] ip <- conv
I0522 09:53:57.835608 167798 net.cpp:382] ip -> ip
I0522 09:53:57.835798 167798 net.cpp:124] Setting up ip
I0522 09:53:57.835839 167798 net.cpp:131] Top shape: 5 13 (65)
I0522 09:53:57.835872 167798 net.cpp:139] Memory required for data: 16600
I0522 09:53:57.835907 167798 layer_factory.hpp:77] Creating layer loss
I0522 09:53:57.835948 167798 net.cpp:86] Creating Layer loss
I0522 09:53:57.835980 167798 net.cpp:408] loss <- ip
I0522 09:53:57.836012 167798 net.cpp:408] loss <- label
I0522 09:53:57.836045 167798 net.cpp:382] loss -> loss
I0522 09:53:57.836083 167798 layer_factory.hpp:77] Creating layer loss
I0522 09:53:57.836140 167798 net.cpp:124] Setting up loss
I0522 09:53:57.836176 167798 net.cpp:131] Top shape: (1)
I0522 09:53:57.836207 167798 net.cpp:134]     with loss weight 1
I0522 09:53:57.836249 167798 net.cpp:139] Memory required for data: 16604
I0522 09:53:57.836280 167798 net.cpp:200] loss needs backward computation.
I0522 09:53:57.836315 167798 net.cpp:200] ip needs backward computation.
I0522 09:53:57.836352 167798 net.cpp:200] conv needs backward computation.
I0522 09:53:57.836385 167798 net.cpp:202] data does not need backward computation.
I0522 09:53:57.836416 167798 net.cpp:244] This network produces output loss
I0522 09:53:57.836452 167798 net.cpp:257] Network initialization done.
I0522 09:53:57.851176 167798 net.cpp:53] Initializing net from parameters: 
name: "testnet"
force_backward: true
state {
  phase: TRAIN
  level: 0
}
layer {
  name: "data"
  type: "DummyData"
  top: "data"
  top: "label"
  dummy_data_param {
    data_filler {
      type: "gaussian"
      std: 1
    }
    data_filler {
      type: "constant"
    }
    num: 5
    num: 5
    channels: 2
    channels: 1
    height: 3
    height: 1
    width: 4
    width: 1
  }
}
layer {
  name: "conv"
  type: "Convolution"
  bottom: "data"
  top: "conv"
  param {
    decay_mult: 1
  }
  param {
    decay_mult: 0
  }
  convolution_param {
    num_output: 11
    pad: 3
    kernel_size: 2
    weight_filler {
      type: "gaussian"
      std: 1
    }
    bias_filler {
      type: "constant"
      value: 2
    }
  }
}
layer {
  name: "ip"
  type: "InnerProduct"
  bottom: "conv"
  top: "ip"
  inner_product_param {
    num_output: 13
    weight_filler {
      type: "gaussian"
      std: 2.5
    }
    bias_filler {
      type: "constant"
      value: -3
    }
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "ip"
  bottom: "label"
  top: "loss"
}
I0522 09:53:57.852932 167798 layer_factory.hpp:77] Creating layer data
I0522 09:53:57.852977 167798 net.cpp:86] Creating Layer data
I0522 09:53:57.853020 167798 net.cpp:382] data -> data
I0522 09:53:57.853060 167798 net.cpp:382] data -> label
I0522 09:53:57.853106 167798 net.cpp:124] Setting up data
I0522 09:53:57.853144 167798 net.cpp:131] Top shape: 5 2 3 4 (120)
I0522 09:53:57.853176 167798 net.cpp:131] Top shape: 5 1 1 1 (5)
I0522 09:53:57.853206 167798 net.cpp:139] Memory required for data: 500
I0522 09:53:57.853236 167798 layer_factory.hpp:77] Creating layer conv
I0522 09:53:57.853283 167798 net.cpp:86] Creating Layer conv
I0522 09:53:57.853319 167798 net.cpp:408] conv <- data
I0522 09:53:57.853356 167798 net.cpp:382] conv -> conv
I0522 09:53:57.853413 167798 net.cpp:124] Setting up conv
I0522 09:53:57.853449 167798 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0522 09:53:57.853479 167798 net.cpp:139] Memory required for data: 16340
I0522 09:53:57.853519 167798 layer_factory.hpp:77] Creating layer ip
I0522 09:53:57.853556 167798 net.cpp:86] Creating Layer ip
I0522 09:53:57.853586 167798 net.cpp:408] ip <- conv
I0522 09:53:57.853619 167798 net.cpp:382] ip -> ip
I0522 09:53:57.853817 167798 net.cpp:124] Setting up ip
I0522 09:53:57.853857 167798 net.cpp:131] Top shape: 5 13 (65)
I0522 09:53:57.853888 167798 net.cpp:139] Memory required for data: 16600
I0522 09:53:57.853922 167798 layer_factory.hpp:77] Creating layer loss
I0522 09:53:57.853956 167798 net.cpp:86] Creating Layer loss
I0522 09:53:57.853986 167798 net.cpp:408] loss <- ip
I0522 09:53:57.854017 167798 net.cpp:408] loss <- label
I0522 09:53:57.854051 167798 net.cpp:382] loss -> loss
I0522 09:53:57.854086 167798 layer_factory.hpp:77] Creating layer loss
I0522 09:53:57.854130 167798 net.cpp:124] Setting up loss
I0522 09:53:57.854162 167798 net.cpp:131] Top shape: (1)
I0522 09:53:57.854192 167798 net.cpp:134]     with loss weight 1
I0522 09:53:57.854228 167798 net.cpp:139] Memory required for data: 16604
I0522 09:53:57.854260 167798 net.cpp:200] loss needs backward computation.
I0522 09:53:57.854293 167798 net.cpp:200] ip needs backward computation.
I0522 09:53:57.854323 167798 net.cpp:200] conv needs backward computation.
I0522 09:53:57.854354 167798 net.cpp:202] data does not need backward computation.
I0522 09:53:57.854384 167798 net.cpp:244] This network produces output loss
I0522 09:53:57.854416 167798 net.cpp:257] Network initialization done.
.
Done caffe.test.test_net
__________

Attempt to restart MATLAB? [y or n]>>n
------------------------------------------------------------------------
       Segmentation violation detected at Wed May 22 09:53:58 2019
------------------------------------------------------------------------

Configuration:
  Crash Decoding      : Disabled - No sandbox or build area path
  Crash Mode          : continue (default)
  Current Graphics Driver: Unknown software 
  Current Visual      : None
  Default Encoding    : UTF-8
  Deployed            : false
  GNU C Library       : 2.23 stable
  Host Name           : ubuntu
  MATLAB Architecture : glnxa64
  MATLAB Entitlement ID: 6257193
  MATLAB Root         : /usr/local/matlab/2017b
  MATLAB Version      : 9.3.0.713579 (R2017b)
  OpenGL              : software
  Operating System    : Linux 4.4.0-62-generic #83-Ubuntu SMP Wed Jan 18 14:10:15 UTC 2017 x86_64
  Processor ID        : x86 Family 6 Model 79 Stepping 1, GenuineIntel
  Virtual Machine     : Java 1.8.0_121-b13 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
  Window System       : No active display

Fault Count: 1


Abnormal termination:
Segmentation violation

Register State (from fault):
  RAX = 00007fe000333534  RBX = 00007fe000333533
  RCX = 00007fdf6386f000  RDX = 00007fe000333533
  RSP = 00007fe0d0fc9420  RBP = 00007fe0d0fc9470
  RSI = 00007fe0d0fc9550  RDI = 00007fe0d0fc9470

   R8 = 0000ffbf63ba2533   R9 = 0000000000000000
  R10 = 000000000000007b  R11 = 00007fe0ecdef9c0
  R12 = 00007fe0d0fc9550  R13 = 00007fdf6386ed80
  R14 = 00007fe0d0fc96c0  R15 = 00007fe0d0fca1a8

  RIP = 00007fe0ecdefa5b  EFL = 0000000000010202

   CS = 0033   FS = 0000   GS = 0000

Stack Trace (from fault):
[  0] 0x00007fe0ecdefa5b /usr/local/matlab/2017b/bin/glnxa64/libboost_filesystem.so.1.56.0+00059995 _ZNK5boost10filesystem4path8filenameEv+00000155
[  1] 0x00007fe0ecdf0b36 /usr/local/matlab/2017b/bin/glnxa64/libboost_filesystem.so.1.56.0+00064310 _ZNK5boost10filesystem4path9extensionEv+00000022
[  2] 0x00007fe0ecdf0c62 /usr/local/matlab/2017b/bin/glnxa64/libboost_filesystem.so.1.56.0+00064610 _ZN5boost10filesystem4path17replace_extensionERKS1_+00000034
[  3] 0x00007fdfcee976d8 /mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64+02279128
[  4] 0x00007fdfcee97b30 /mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64+02280240
[  5] 0x00007fdfcecb3faf /mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64+00298927
[  6] 0x00007fdfcecb12f2 /mnt/ljy/zy/caffe-master-gpu/matlab/+caffe/private/caffe_.mexa64+00287474 mexFunction+00000169
[  7] 0x00007fe0de86f3c7                              bin/glnxa64/libmex.so+00172999 mexRunMexFile+00000439
[  8] 0x00007fe0de868c23                              bin/glnxa64/libmex.so+00146467
[  9] 0x00007fe0de869385                              bin/glnxa64/libmex.so+00148357
[ 10] 0x00007fe0e05dac83                   bin/glnxa64/libmwm_dispatcher.so+00830595 _ZN8Mfh_file16dispatch_fh_implEMS_FviPP11mxArray_tagiS2_EiS2_iS2_+00000947
[ 11] 0x00007fe0e05db54e                   bin/glnxa64/libmwm_dispatcher.so+00832846 _ZN8Mfh_file11dispatch_fhEiPP11mxArray_tagiS2_+00000030
[ 12] 0x00007fe0dcc4690a                          bin/glnxa64/libmwm_lxe.so+12519690
[ 13] 0x00007fe0dcc47d9e                          bin/glnxa64/libmwm_lxe.so+12524958
[ 14] 0x00007fe0dcd08779                          bin/glnxa64/libmwm_lxe.so+13313913
[ 15] 0x00007fe0dccadeb1                          bin/glnxa64/libmwm_lxe.so+12943025
[ 16] 0x00007fe0dc595e50                          bin/glnxa64/libmwm_lxe.so+05504592
[ 17] 0x00007fe0dc5980e4                          bin/glnxa64/libmwm_lxe.so+05513444
[ 18] 0x00007fe0dc5948d1                          bin/glnxa64/libmwm_lxe.so+05499089
[ 19] 0x00007fe0dc590861                          bin/glnxa64/libmwm_lxe.so+05482593
[ 20] 0x00007fe0dc590c89                          bin/glnxa64/libmwm_lxe.so+05483657
[ 21] 0x00007fe0dc594100                          bin/glnxa64/libmwm_lxe.so+05497088
[ 22] 0x00007fe0dc5941cf                          bin/glnxa64/libmwm_lxe.so+05497295
[ 23] 0x00007fe0dc6941d1                          bin/glnxa64/libmwm_lxe.so+06545873
[ 24] 0x00007fe0dc696f53                          bin/glnxa64/libmwm_lxe.so+06557523
[ 25] 0x00007fe0dcb464ce                          bin/glnxa64/libmwm_lxe.so+11470030
[ 26] 0x00007fe0dcb0b8fa                          bin/glnxa64/libmwm_lxe.so+11229434
[ 27] 0x00007fe0dcb0be78                          bin/glnxa64/libmwm_lxe.so+11230840
[ 28] 0x00007fe0dcb0d6e2                          bin/glnxa64/libmwm_lxe.so+11237090
[ 29] 0x00007fe0dcb8324e                          bin/glnxa64/libmwm_lxe.so+11719246
[ 30] 0x00007fe0dcb83702                          bin/glnxa64/libmwm_lxe.so+11720450
[ 31] 0x00007fe0dfed19a1                  bin/glnxa64/libmwm_interpreter.so+02431393 _Z51inEvalCmdWithLocalReturnInDesiredWSAndPublishEventsRKSbIDsSt11char_traitsIDsESaIDsEEPibbP15inWorkSpace_tag+00000065
[ 32] 0x00007fe0e1465823                            bin/glnxa64/libmwiqm.so+00694307 _ZNK3iqm18InternalEvalPlugin24inEvalCmdWithLocalReturnERKSbIDsSt11char_traitsIDsESaIDsEEP15inWorkSpace_tag+00000083
[ 33] 0x00007fe0e146717b                            bin/glnxa64/libmwiqm.so+00700795 _ZN3iqm18InternalEvalPlugin7executeEP15inWorkSpace_tagRN5boost10shared_ptrIN14cmddistributor17IIPCompletedEventEEE+00000123
[ 34] 0x00007fe0e0ac140d                            bin/glnxa64/libmwmcr.so+00656397
[ 35] 0x00007fe0e14588b8                            bin/glnxa64/libmwiqm.so+00641208
[ 36] 0x00007fe0e1446db2                            bin/glnxa64/libmwiqm.so+00568754
[ 37] 0x00007fe0deaa477a                         bin/glnxa64/libmwbridge.so+00165754
[ 38] 0x00007fe0deaac1c3                         bin/glnxa64/libmwbridge.so+00197059
[ 39] 0x00007fe0deaac2db                         bin/glnxa64/libmwbridge.so+00197339
[ 40] 0x00007fe0deaac9b7                         bin/glnxa64/libmwbridge.so+00199095 _Z8mnParserv+00000647
[ 41] 0x00007fe0e0aa9793                            bin/glnxa64/libmwmcr.so+00558995
[ 42] 0x00007fe0e0aab92e                            bin/glnxa64/libmwmcr.so+00567598
[ 43] 0x00007fe0e0aac099                            bin/glnxa64/libmwmcr.so+00569497 _ZN5boost6detail17task_shared_stateINS_3_bi6bind_tIvPFvRKNS_8functionIFvvEEEENS2_5list1INS2_5valueIS6_EEEEEEvE6do_runEv+00000025
[ 44] 0x00007fe0e0aaa8b6                            bin/glnxa64/libmwmcr.so+00563382
[ 45] 0x00007fe0e148e259                            bin/glnxa64/libmwiqm.so+00860761
[ 46] 0x00007fe0e147ab6c                            bin/glnxa64/libmwiqm.so+00781164 _ZN5boost6detail8function21function_obj_invoker0ISt8functionIFNS_3anyEvEES4_E6invokeERNS1_15function_bufferE+00000028
[ 47] 0x00007fe0e147a84c                            bin/glnxa64/libmwiqm.so+00780364 _ZN3iqm18PackagedTaskPlugin7executeEP15inWorkSpace_tagRN5boost10shared_ptrIN14cmddistributor17IIPCompletedEventEEE+00000428
[ 48] 0x00007fe0e14588b8                            bin/glnxa64/libmwiqm.so+00641208
[ 49] 0x00007fe0e144653f                            bin/glnxa64/libmwiqm.so+00566591
[ 50] 0x00007fe0e1448759                            bin/glnxa64/libmwiqm.so+00575321
[ 51] 0x00007fe0eefe7aba                       bin/glnxa64/libmwservices.so+02702010
[ 52] 0x00007fe0eefe906f                       bin/glnxa64/libmwservices.so+02707567
[ 53] 0x00007fe0eefe981a                       bin/glnxa64/libmwservices.so+02709530 _Z25svWS_ProcessPendingEventsiib+00000186
[ 54] 0x00007fe0e0aa9f0e                            bin/glnxa64/libmwmcr.so+00560910
[ 55] 0x00007fe0e0aaa2b4                            bin/glnxa64/libmwmcr.so+00561844
[ 56] 0x00007fe0e0a97c06                            bin/glnxa64/libmwmcr.so+00486406
[ 57] 0x00007fe0edef96ba              /lib/x86_64-linux-gnu/libpthread.so.0+00030394
[ 58] 0x00007fe0edc2f41d                    /lib/x86_64-linux-gnu/libc.so.6+01078301 clone+00000109
[ 59] 0x0000000000000000                                   <unknown-module>+00000000


This error was detected while a MEX-file was running. If the MEX-file
is not an official MathWorks function, please examine its source code
for errors. Please consult the External Interfaces Guide for information
on debugging MEX-files.

If this problem is reproducible, please submit a Service Request via:
    http://www.mathworks.com/support/contact_us/

A technical support engineer might contact you with further information.

直接奔溃了，之后万幸换了新的caffe的安装包（caffe-rpnbf-cudnn5-master），把原来的makefile.config和makefile拷贝进去
，make mattest成功运行了：

Running caffe.test.test_solver
I0522 10:33:14.982887 189599 solver.cpp:338] Iteration 0, Testing net (#0)
I0522 10:33:14.983533 189599 solver.cpp:406]     Test net output #0: loss = 75.6673 (* 1 = 75.6673 loss)
I0522 10:33:14.983731 189599 solver.cpp:229] Iteration 0, loss = 84.0629
I0522 10:33:14.983757 189599 solver.cpp:245]     Train net output #0: loss = 84.0629 (* 1 = 84.0629 loss)
I0522 10:33:14.983775 189599 sgd_solver.cpp:106] Iteration 0, lr = 0.01
I0522 10:33:15.147226 189599 solver.cpp:338] Iteration 10, Testing net (#0)
I0522 10:33:15.148039 189599 solver.cpp:406]     Test net output #0: loss = 74.6548 (* 1 = 74.6548 loss)
I0522 10:33:15.363095 189599 solver.cpp:338] Iteration 20, Testing net (#0)
I0522 10:33:15.363759 189599 solver.cpp:406]     Test net output #0: loss = 73.2062 (* 1 = 73.2062 loss)
I0522 10:33:15.598340 189599 solver.cpp:280] Solving testnet
I0522 10:33:15.598479 189599 solver.cpp:281] Learning Rate Policy: inv
I0522 10:33:15.598517 189599 solver.cpp:338] Iteration 30, Testing net (#0)
I0522 10:33:15.599063 189599 solver.cpp:406]     Test net output #0: loss = 83.4087 (* 1 = 83.4087 loss)
I0522 10:33:15.855093 189599 solver.cpp:338] Iteration 40, Testing net (#0)
I0522 10:33:15.855638 189599 solver.cpp:406]     Test net output #0: loss = 64.578 (* 1 = 64.578 loss)
I0522 10:33:15.947778 189599 solver.cpp:338] Iteration 50, Testing net (#0)
I0522 10:33:15.948276 189599 solver.cpp:406]     Test net output #0: loss = 67.2209 (* 1 = 67.2209 loss)
I0522 10:33:16.043083 189599 solver.cpp:338] Iteration 60, Testing net (#0)
I0522 10:33:16.043715 189599 solver.cpp:406]     Test net output #0: loss = 57.9186 (* 1 = 57.9186 loss)
I0522 10:33:16.203760 189599 solver.cpp:338] Iteration 70, Testing net (#0)
I0522 10:33:16.204354 189599 solver.cpp:406]     Test net output #0: loss = 63.992 (* 1 = 63.992 loss)
I0522 10:33:16.283592 189599 solver.cpp:338] Iteration 80, Testing net (#0)
I0522 10:33:16.284179 189599 solver.cpp:406]     Test net output #0: loss = 59.1494 (* 1 = 59.1494 loss)
I0522 10:33:16.467087 189599 solver.cpp:338] Iteration 90, Testing net (#0)
I0522 10:33:16.467715 189599 solver.cpp:406]     Test net output #0: loss = 62.7733 (* 1 = 62.7733 loss)
I0522 10:33:16.639156 189599 solver.cpp:318] Iteration 100, loss = 8.11743
I0522 10:33:16.639281 189599 solver.cpp:338] Iteration 100, Testing net (#0)
I0522 10:33:16.639783 189599 solver.cpp:406]     Test net output #0: loss = 56.8706 (* 1 = 56.8706 loss)
I0522 10:33:16.639822 189599 solver.cpp:323] Optimization Done.
.
Done caffe.test.test_solver
__________

Running caffe.test.test_io
.
Done caffe.test.test_io
__________

Cleared 2 solvers and 4 stand-alone nets

ans = 

  1x7 TestResult array with properties:

    Name
    Passed
    Failed
    Incomplete
    Duration
    Details

Totals:
   7 Passed, 0 Failed, 0 Incomplete.
   2.5829 seconds testing time.

caffe安装包：

https://github.com/gy1874/caffe-rpnbf-cudnn5

对于make mattest 出现的90%问题以下博客都可以解决
参考博客：

https://blog.youkuaiyun.com/weixin_42471009/article/details/81543382
http://www.caffecn.cn/?/question/1168
https://www.baidu.com/link?url=DNoGK6uxV6iZiT4banudqx8uzLwpbLhm-5k9gCii5_sMezbFBXBEK8tNgKr7UoeO-JQByfYg2yNNAFr1f3oP1_&wd=&eqid=a2d9480e000002b5000000035ce4a91c
https://blog.youkuaiyun.com/qq_33003797/article/details/79334923
https://www.cnblogs.com/ariel-dreamland/p/9364535.html
https://blog.youkuaiyun.com/babytang008/article/details/78631776
https://blog.youkuaiyun.com/m0_37407756/article/details/70789271
https://blog.youkuaiyun.com/weiqi_fan/article/details/71023222?locationNum=14&fps=1#
https://blog.youkuaiyun.com/u011681952/article/details/85680067
https://blog.youkuaiyun.com/sxs11/article/details/70142415
https://blog.youkuaiyun.com/hq86937375/article/details/79689799
http://f.dataguru.cn/thread-917764-1-1.html
https://blog.youkuaiyun.com/qq_33547191/article/details/79533624
https://blog.youkuaiyun.com/sinat_32741771/article/details/54974244
https://blog.youkuaiyun.com/lwj_12345678/article/details/79419800
https://www.cnblogs.com/Qsir/p/9105798.html
https://blog.youkuaiyun.com/tomato_ljl/article/details/79169028

对于装了anaconda 和python的朋友，编译matlab接口时建议停用anaconda，
在~./bashrc 中把export anaconda 的那一行前加#号 停用
之后source一下

题外话：
以上是在服务器上做的，楼主也用自己的笔记本编译matcaffe,

笔记本版本信息：ubuntu18.04 matlab2014a cuda9.0 gcc5.5  opencv3.2 protobuf2.6.1

想用

export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libopencv_highgui.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_core.so.2.4:/usr/lib/x86_64-linux-gnu/libstdc++.so.6:/usr/lib/x86_64-linux-gnu/libfreetype.so.6:/usr/lib/x86_64-linux-gnu/libstdc++.so.6

解决问题，奈何ubuntu18.04 没有这三个库

/usr/lib/x86_64-linux-gnu/libopencv_highgui.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_core.so.2.4

之后放弃了，估计重装opencv3会解决问题，楼主没试过，放弃了，之后再服务器上搞，才艰辛的弄出来

最后楼主建议要编译matcaffe的童鞋，最好的版本是ubuntu16.04 + matlab2014/2015 +caffe-master

其他情况：matlab是2016或2017版本的用楼主链接的caffe安装包

https://github.com/gy1874/caffe-rpnbf-cudnn5