用matlab安装caffe时出错
make all error while installing caffe with matlab
我正在尝试安装具有 cpu 支持和 matcaffe 包装器的 caffe。我的系统配置：Ubuntu -16.04，opencv 2.4.9，gcc-4.9，g++-4.9，Matlab2017b
我无法找出错误 我已经看到许多可用的选项并修补了解决方案。我将我的 Makefile.config 作为 Makefile 包含了错误：
CXX/LD -o .build_release/tools/caffe.bin
.build_release/tools/caffe.o: In function `train()':
caffe.cpp:(.text+0x33ca): undefined reference to `google::protobuf::internal::StringTypeHandlerBase::New()'
caffe.cpp:(.text+0x4267): undefined reference to `google::protobuf::internal::StringTypeHandlerBase::New()'
.build_release/tools/caffe.o: In function `std::string* google::MakeCheckOpString<unsigned long, int>(unsigned long const&, int const&, char const*)':
caffe.cpp:(.text._ZN6google17MakeCheckOpStringImiEEPSsRKT_RKT0_PKc[_ZN6google17MakeCheckOpStringImiEEPSsRKT_RKT0_PKc]+0x50): undefined reference to `google::base::CheckOpMessageBuilder::NewString()'
.build_release/tools/caffe.o: In function `main':
caffe.cpp:(.text.startup+0x53): undefined reference to `google::SetVersionString(std::string const&)'
caffe.cpp:(.text.startup+0x86): undefined reference to `google::SetUsageMessage(std::string const&)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::Message::InitializationErrorString() const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::WriteStringMaybeAliased(int, std::string const&, google::protobuf::io::CodedOutputStream*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::io::CodedOutputStream::WriteStringWithSizeToArray(std::string const&, unsigned char*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::ReadString(google::protobuf::io::CodedInputStream*, std::string*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::Message::GetTypeName() const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::Message::DebugString() const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::empty_string_'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::MessageLite::ParseFromString(std::string const&)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::NameOfEnum(google::protobuf::EnumDescriptor const*, int)'
.build_release/lib/libcaffe.so: undefined reference to `cv::imread(std::string const&, int)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::DescriptorPool::FindFileByName(std::string const&) const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::ReadBytes(google::protobuf::io::CodedInputStream*, std::string*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::StringTypeHandlerBase::Delete(std::string*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::MessageFactory::InternalRegisterGeneratedFile(char const*, void (*)(std::string const&))'
.build_release/lib/libcaffe.so: undefined reference to `leveldb::DB::Open(leveldb::Options const&, std::string const&, leveldb::DB**)'
.build_release/lib/libcaffe.so: undefined reference to `cv::imencode(std::string const&, cv::_InputArray const&, std::vector<unsigned char, std::allocator<unsigned char> >&, std::vector<int, std::allocator<int> > const&)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::WriteBytesMaybeAliased(int, std::string const&, google::protobuf::io::CodedOutputStream*)'
.build_release/lib/libcaffe.so: undefined reference to `leveldb::Status::ToString() const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::WriteString(int, std::string const&, google::protobuf::io::CodedOutputStream*)'
collect2: error: ld returned 1 exit status
Makefile:626: recipe for target '.build_release/tools/caffe.bin' failed
make: *** [.build_release/tools/caffe.bin] Error 1
Makefile（我猜这是某种链接错误，但我无法弄清楚）：
## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!
# cuDNN acceleration switch (uncomment to build with cuDNN).
# USE_CUDNN := 1
# CPU-only switch (uncomment to build without GPU support).
CPU_ONLY := 1
# uncomment to disable IO dependencies and corresponding data layers
# USE_OPENCV := 0
# USE_LEVELDB := 0
# USE_LMDB := 0
# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
# You should not set this flag if you will be reading LMDBs with any
# possibility of simultaneous read and write
# ALLOW_LMDB_NOLOCK := 1
# Uncomment if you're using OpenCV 3
# OPENCV_VERSION := 3
# To customize your choice of compiler, uncomment and set the following.
# N.B. the default for Linux is g++ and the default for OSX is clang++
# CUSTOM_CXX := g++
# CUDA directory contains bin/ and lib/ directories that we need.
# CUDA_DIR := /usr/local/cuda
# On Ubuntu 14.04, if cuda tools are installed via
# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
# CUDA_DIR := /usr
# CUDA architecture setting: going with all of them.
# For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
# For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility.
CUDA_ARCH := -gencode arch=compute_30,code=sm_30 \
-gencode arch=compute_35,code=sm_35 \
-gencode arch=compute_50,code=sm_50 \
-gencode arch=compute_52,code=sm_52 \
-gencode arch=compute_60,code=sm_60 \
-gencode arch=compute_61,code=sm_61 \
-gencode arch=compute_61,code=compute_61
# BLAS choice:
# atlas for ATLAS (default)
# mkl for MKL
# open for OpenBlas
BLAS := atlas
# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
# Leave commented to accept the defaults for your choice of BLAS
# (which should work)!
# BLAS_INCLUDE := /path/to/your/blas
# BLAS_LIB := /path/to/your/blas
# Homebrew puts openblas in a directory that is not on the standard search path
# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
# BLAS_LIB := $(shell brew --prefix openblas)/lib
# This is required only if you will compile the matlab interface.
# MATLAB directory should contain the mex binary in /bin.
MATLAB_DIR := /usr/local/MATLAB/R2017b
MATLAB_INCLUDE := /usr/local/MATLAB/R2017b/toolbox/distcomp/gpu/extern/include
# /usr/local
# MATLAB_DIR := /Applications/MATLAB_R2012b.app
# NOTE: this is required only if you will compile the python interface.
# We need to be able to find Python.h and numpy/arrayobject.h.
PYTHON_INCLUDE := /usr/include/python2.7 \
/usr/lib/python2.7/dist-packages/numpy/core/include
# Anaconda Python distribution is quite popular. Include path:
# Verify anaconda location, sometimes it's in root.
# ANACONDA_HOME := $(HOME)/anaconda
# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
# $(ANACONDA_HOME)/include/python2.7 \
# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
# Uncomment to use Python 3 (default is Python 2)
# PYTHON_LIBRARIES := boost_python3 python3.5m
# PYTHON_INCLUDE := /usr/include/python3.5m \
# /usr/lib/python3.5/dist-packages/numpy/core/include
# We need to be able to find libpythonX.X.so or .dylib.
PYTHON_LIB := /usr/lib/x86_64-linux-gnu
# PYTHON_LIB := $(ANACONDA_HOME)/lib
# Homebrew installs numpy in a non standard path (keg only)
# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
# PYTHON_LIB += $(shell brew --prefix numpy)/lib
# Uncomment to support layers written in Python (will link against Python libs)
WITH_PYTHON_LAYER := 1
# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/ $(PYTHON_INCLUDE) $(MATLAB_INCLUDE)
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial
# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
# INCLUDE_DIRS += $(shell brew --prefix)/include
# LIBRARY_DIRS += $(shell brew --prefix)/lib
# NCCL acceleration switch (uncomment to build with NCCL)
# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
# USE_NCCL := 1
# Uncomment to use `pkg-config` to specify OpenCV library paths.
# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
# USE_PKG_CONFIG := 1
# N.B. both build and distribute dirs are cleared on `make clean`
BUILD_DIR := build
DISTRIBUTE_DIR := distribute
# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
# DEBUG := 1
# The ID of the GPU that 'make runtest' will use to run unit tests.
TEST_GPUID := 0
# enable pretty build (comment to see full commands)
Q ?= @
我没有具体的解决方案。然而，当我被这些问题绊倒时，错误是由于缺少 link 的适当库造成的。这有两个原因：（1）没有安装库； (2) LD_LIBRARY_PATH 之前的错误库版本。不幸的是，我不记得我的 IT 支持是如何为我跟踪和解决问题的——需要一个比我的 "sudo yum install" 专业水平更了解 OS 库安装的人。 :-)
您还评论说更改编译器有效：另一种可能性，因为新的编译器具有新的加载路径。干得好！
我正在尝试安装具有 cpu 支持和 matcaffe 包装器的 caffe。我的系统配置：Ubuntu -16.04，opencv 2.4.9，gcc-4.9，g++-4.9，Matlab2017b 我无法找出错误 我已经看到许多可用的选项并修补了解决方案。我将我的 Makefile.config 作为 Makefile 包含了错误：
CXX/LD -o .build_release/tools/caffe.bin
.build_release/tools/caffe.o: In function `train()':
caffe.cpp:(.text+0x33ca): undefined reference to `google::protobuf::internal::StringTypeHandlerBase::New()'
caffe.cpp:(.text+0x4267): undefined reference to `google::protobuf::internal::StringTypeHandlerBase::New()'
.build_release/tools/caffe.o: In function `std::string* google::MakeCheckOpString<unsigned long, int>(unsigned long const&, int const&, char const*)':
caffe.cpp:(.text._ZN6google17MakeCheckOpStringImiEEPSsRKT_RKT0_PKc[_ZN6google17MakeCheckOpStringImiEEPSsRKT_RKT0_PKc]+0x50): undefined reference to `google::base::CheckOpMessageBuilder::NewString()'
.build_release/tools/caffe.o: In function `main':
caffe.cpp:(.text.startup+0x53): undefined reference to `google::SetVersionString(std::string const&)'
caffe.cpp:(.text.startup+0x86): undefined reference to `google::SetUsageMessage(std::string const&)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::Message::InitializationErrorString() const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::WriteStringMaybeAliased(int, std::string const&, google::protobuf::io::CodedOutputStream*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::io::CodedOutputStream::WriteStringWithSizeToArray(std::string const&, unsigned char*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::ReadString(google::protobuf::io::CodedInputStream*, std::string*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::Message::GetTypeName() const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::Message::DebugString() const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::empty_string_'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::MessageLite::ParseFromString(std::string const&)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::NameOfEnum(google::protobuf::EnumDescriptor const*, int)'
.build_release/lib/libcaffe.so: undefined reference to `cv::imread(std::string const&, int)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::DescriptorPool::FindFileByName(std::string const&) const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::ReadBytes(google::protobuf::io::CodedInputStream*, std::string*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::StringTypeHandlerBase::Delete(std::string*)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::MessageFactory::InternalRegisterGeneratedFile(char const*, void (*)(std::string const&))'
.build_release/lib/libcaffe.so: undefined reference to `leveldb::DB::Open(leveldb::Options const&, std::string const&, leveldb::DB**)'
.build_release/lib/libcaffe.so: undefined reference to `cv::imencode(std::string const&, cv::_InputArray const&, std::vector<unsigned char, std::allocator<unsigned char> >&, std::vector<int, std::allocator<int> > const&)'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::WriteBytesMaybeAliased(int, std::string const&, google::protobuf::io::CodedOutputStream*)'
.build_release/lib/libcaffe.so: undefined reference to `leveldb::Status::ToString() const'
.build_release/lib/libcaffe.so: undefined reference to `google::protobuf::internal::WireFormatLite::WriteString(int, std::string const&, google::protobuf::io::CodedOutputStream*)'
collect2: error: ld returned 1 exit status
Makefile:626: recipe for target '.build_release/tools/caffe.bin' failed
make: *** [.build_release/tools/caffe.bin] Error 1
Makefile（我猜这是某种链接错误，但我无法弄清楚）：
## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!
# cuDNN acceleration switch (uncomment to build with cuDNN).
# USE_CUDNN := 1
# CPU-only switch (uncomment to build without GPU support).
CPU_ONLY := 1
# uncomment to disable IO dependencies and corresponding data layers
# USE_OPENCV := 0
# USE_LEVELDB := 0
# USE_LMDB := 0
# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
# You should not set this flag if you will be reading LMDBs with any
# possibility of simultaneous read and write
# ALLOW_LMDB_NOLOCK := 1
# Uncomment if you're using OpenCV 3
# OPENCV_VERSION := 3
# To customize your choice of compiler, uncomment and set the following.
# N.B. the default for Linux is g++ and the default for OSX is clang++
# CUSTOM_CXX := g++
# CUDA directory contains bin/ and lib/ directories that we need.
# CUDA_DIR := /usr/local/cuda
# On Ubuntu 14.04, if cuda tools are installed via
# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
# CUDA_DIR := /usr
# CUDA architecture setting: going with all of them.
# For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
# For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility.
CUDA_ARCH := -gencode arch=compute_30,code=sm_30 \
-gencode arch=compute_35,code=sm_35 \
-gencode arch=compute_50,code=sm_50 \
-gencode arch=compute_52,code=sm_52 \
-gencode arch=compute_60,code=sm_60 \
-gencode arch=compute_61,code=sm_61 \
-gencode arch=compute_61,code=compute_61
# BLAS choice:
# atlas for ATLAS (default)
# mkl for MKL
# open for OpenBlas
BLAS := atlas
# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
# Leave commented to accept the defaults for your choice of BLAS
# (which should work)!
# BLAS_INCLUDE := /path/to/your/blas
# BLAS_LIB := /path/to/your/blas
# Homebrew puts openblas in a directory that is not on the standard search path
# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
# BLAS_LIB := $(shell brew --prefix openblas)/lib
# This is required only if you will compile the matlab interface.
# MATLAB directory should contain the mex binary in /bin.
MATLAB_DIR := /usr/local/MATLAB/R2017b
MATLAB_INCLUDE := /usr/local/MATLAB/R2017b/toolbox/distcomp/gpu/extern/include
# /usr/local
# MATLAB_DIR := /Applications/MATLAB_R2012b.app
# NOTE: this is required only if you will compile the python interface.
# We need to be able to find Python.h and numpy/arrayobject.h.
PYTHON_INCLUDE := /usr/include/python2.7 \
/usr/lib/python2.7/dist-packages/numpy/core/include
# Anaconda Python distribution is quite popular. Include path:
# Verify anaconda location, sometimes it's in root.
# ANACONDA_HOME := $(HOME)/anaconda
# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
# $(ANACONDA_HOME)/include/python2.7 \
# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
# Uncomment to use Python 3 (default is Python 2)
# PYTHON_LIBRARIES := boost_python3 python3.5m
# PYTHON_INCLUDE := /usr/include/python3.5m \
# /usr/lib/python3.5/dist-packages/numpy/core/include
# We need to be able to find libpythonX.X.so or .dylib.
PYTHON_LIB := /usr/lib/x86_64-linux-gnu
# PYTHON_LIB := $(ANACONDA_HOME)/lib
# Homebrew installs numpy in a non standard path (keg only)
# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
# PYTHON_LIB += $(shell brew --prefix numpy)/lib
# Uncomment to support layers written in Python (will link against Python libs)
WITH_PYTHON_LAYER := 1
# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/ $(PYTHON_INCLUDE) $(MATLAB_INCLUDE)
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial
# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
# INCLUDE_DIRS += $(shell brew --prefix)/include
# LIBRARY_DIRS += $(shell brew --prefix)/lib
# NCCL acceleration switch (uncomment to build with NCCL)
# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
# USE_NCCL := 1
# Uncomment to use `pkg-config` to specify OpenCV library paths.
# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
# USE_PKG_CONFIG := 1
# N.B. both build and distribute dirs are cleared on `make clean`
BUILD_DIR := build
DISTRIBUTE_DIR := distribute
# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
# DEBUG := 1
# The ID of the GPU that 'make runtest' will use to run unit tests.
TEST_GPUID := 0
# enable pretty build (comment to see full commands)
Q ?= @
我没有具体的解决方案。然而，当我被这些问题绊倒时，错误是由于缺少 link 的适当库造成的。这有两个原因：（1）没有安装库； (2) LD_LIBRARY_PATH 之前的错误库版本。不幸的是，我不记得我的 IT 支持是如何为我跟踪和解决问题的——需要一个比我的 "sudo yum install" 专业水平更了解 OS 库安装的人。 :-)
您还评论说更改编译器有效：另一种可能性，因为新的编译器具有新的加载路径。干得好！