编译caffe遇到的错误

放弃治疗了，换了一篇新的安装博客：http://wangjieqiang.com/2017/12/04/Ubuntu16-04%E5%AE%89%E8%A3%85Caffe-CPU-only/

这篇博客真的牛逼，一点错误都没发生！

=============分界线==================================================

以下是之前参照博客https://blog.csdn.net/whaxln/article/details/80876953安装时出现的错误：（也感谢这篇博客，有很多有用的东西）

错误一：

fatal error: hdf5.h: No such file or directory
compilation terminated.
Makefile:592: recipe for target '.build_release/src/caffe/solvers/sgd_solver.o' failed
make: *** [.build_release/src/caffe/solvers/sgd_solver.o] Error 1
 

解决：

进入到Makefile.config，找到并修改如下两项：

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial

LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial /usr/lib/x86_64-linux-gnu/
进入到Makefile，找到并修改：

LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_serial_hl hdf5_serial

参考：https://blog.csdn.net/whaxln/article/details/80876953

           https://blog.csdn.net/qq_38451119/article/details/81383266

           https://www.jianshu.com/p/16deb35077a0

错误二：

collect2: error: ld returned 1 exit status
Makefile:593: recipe for target '.build_release/lib/libcaffe.so.1.0.0' failed
make: *** [.build_release/lib/libcaffe.so.1.0.0] Error 1
解决：

看了很多东西，也不知道时哪个起了作用：

首先尝试：

#打开.bashrc:

sudo vim ~/.bashrc

#在最后一行添加如下命令：

export PYTHONPATH=/home/xxx(你的caffe所在的路径)/caffe/python:$PYTHONPATH

#保存，退出

#运行如下命令激活：

source ~/.bashrc

另外：

https://blog.csdn.net/jicong44/article/details/80334663   （看其中的错误二)

#在 Makefile.config 中，加入下一句 
LINKFLAGS := -Wl,-rpath,$(HOME)/anaconda2/lib 

http://www.imooc.com/article/265330   （最后一个错误）

 

https://segmentfault.com/q/1010000018942507

apt install libboost-python-dev

https://www.cnblogs.com/rainsoul/p/8243385.html   （翻到最后）

#在Makefile文件内进行如下的添加：

ifeq ($(USE_OPENCV), 1)
    LIBRARIES += opencv_core opencv_imgproc opencv_videoio
 
    ifeq ($(OPENCV_VERSION), 3)
        LIBRARIES += opencv_imgcodecs opencv_videoio
    endif
 
endif
 
 
LIBRARIES += glog gflags protobuf boost_system boost_filesystem boost_regex m hdf5_hl hdf5

#相应的Makefile.config中需要注意的地方：

INCLUDE_DIRS := /home/public/software_install/protobuf-3.1.0/include $(PYTHON_INCLUDE) /usr/local/include /home/public/weizhang/opencv-3.4.5/build/install/include /usr/include/hdf5/serial
LIBRARY_DIRS := /home/public/software_install/protobuf-3.1.0/lib $(PYTHON_LIB) /usr/local/lib /usr/lib /home/public/weizhang/opencv-3.4.5/build/install/lib

https://blog.csdn.net/xunan003/article/details/79130493

#在MakeFile文件中

CUDA_LIB_DIR :=
# add /lib64 only if it exists
ifneq ("$(wildcard $(CUDA_DIR)/lib64)","")
    CUDA_LIB_DIR += $(CUDA_DIR)/lib64
endif
CUDA_LIB_DIR += $(CUDA_DIR)/lib
INCLUDE_DIRS += $(BUILD_INCLUDE_DIR) ./src ./include
ifneq ($(CPU_ONLY), 1)
    INCLUDE_DIRS += $(CUDA_INCLUDE_DIR)
    LIBRARY_DIRS += $(CUDA_LIB_DIR)
    LIBRARIES := cudart cublas curand
endif
LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5 

#在最后hdl5后面添加opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs即可，变为

LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5 opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs

https://my.oschina.net/u/2480851/blog/1606956   （贴出了博主的Makefile.config文件如下）

## 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).
#因为使用的是cpu模式，所以要放开
 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_20,code=sm_20 \
		-gencode arch=compute_20,code=sm_21 \
		-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_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.
#因为使用了anaconda所以要配置anaconda的地址，如果不配置则会出现找不到*.h的情况
 ANACONDA_HOME := $(HOME)/anaconda2
#使用anaconda的头文件
 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
#使用anaconda的库
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
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

# 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 ?= @

另外还有：https://www.cnblogs.com/empty16/p/4828476.html

错误三：

collect2: error: ld returned 1 exit status
Makefile:646: recipe for target '.build_release/tools/upgrade_net_proto_text.bin' failed
make: *** [.build_release/tools/upgrade_net_proto_text.bin] Error 1
 

解决：

在MakeFile文件中，有如下一段代码：

CUDA_LIB_DIR :=
# add /lib64 only if it exists
ifneq ("$(wildcard $(CUDA_DIR)/lib64)","")
  CUDA_LIB_DIR += $(CUDA_DIR)/lib64
endif
CUDA_LIB_DIR += $(CUDA_DIR)/lib

INCLUDE_DIRS += $(BUILD_INCLUDE_DIR) ./src ./include
ifneq ($(CPU_ONLY), 1)
  INCLUDE_DIRS += $(CUDA_INCLUDE_DIR)
  LIBRARY_DIRS += $(CUDA_LIB_DIR)
  LIBRARIES := cudart cublas curand
endif

LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5 

在最后hdl5后面添加opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs即可，变为

LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5 opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs

然后重新编译。
-----------------------------转自：https://blog.csdn.net/xunan003/article/details/79130493

然后在make test时又有错误了，是在解决不了了……换一篇安装博客看（见本文开头）