Caffe + CUDA8.0 + CuDNNv5.1 + OpenCV3.1 + Ubuntu14.04 配置参考文献 ---- Wang Xiao Anhui University CVP

Warning: Please make sure the cuda is installed correctly, before you reboot your PC, or  you may stucked and can not open your system.

Check in your terminal:　　nvidia-smi

If it shown you the following image, it means you have successfully installed cuda and you can reboot your PC safely.

wangxiao@AHU:~$ nvidia-smi
Sun Jul 24 13:53:05 2016       
+------------------------------------------------------+                       
| NVIDIA-SMI 352.63     Driver Version: 352.63         |                       
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 960M    Off  | 0000:01:00.0     Off |                  N/A |
| N/A   46C    P8    N/A /  N/A |    204MiB /  2047MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|    0      1198    G   /usr/bin/X                                     159MiB |
|    0      2025    G   compiz                                          37MiB |
+-----------------------------------------------------------------------------+
wangxiao@AHU:~$

Install CUDA until this appeared in your screen !

Q1: Some times, it warning you that your Nvidia-driver can not communitcate with your GPU, what can you do ? 

A1: Well, the only thing you could do is install your cuda in the right way, and reboot your PC. It will be OK.  

  

1. 首先安装 cuda :

sudo apt-get update

sudo dpkg -i cuda-repo-__.deb

sudo apt-get install cuda

2. 安装基本依赖项：

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler

sudo apt-get install --no-install-recommends libboost-all-dev

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler  

 sudo apt-get install --no-install-recommends libboost-all-dev

 sudo apt-get install python-skimage ipython python-pil python-h5py ipython python-gflags python-yaml  

 sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev  

3. 设置环境变量：

export PATH=/usr/local/cuda-8.0/bin:$PATH  
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH  

也可以在 /etc/profile中进行编辑, 在最后加入：

exportPATH=/usr/local/cuda-8.0/bin:$PATH
exportLD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH

4. 设置CUDA-7.5 SAMPLES：

cuda-install-samples-8.0.sh  ~  
cd ~/NVIDIA_CUDA-8.0_Samples  
cd 1_Utilities/deviceQuery  
make 

进入NVIDIA_CUDA-8.0_Samples 会编译很长时间，耐心等待。

执行测试代码： deviceQuery，如果成功结尾会是Result = PASS

此处，可能因为gcc或者g++版本问题，导致无法编译。重新安装一个较老的版本gcc-4.7，然后添加对应的软连接即可编译： 

sudo apt-get install -y gcc-4.7
sudo apt-get install -y g++-4.7  
cd /usr/bin
sudo rm gcc 
sudo ln -s gcc-4.7 gcc 
sudo rm g++ 
sudo ln -s g++-4.7 g++ 
#### check it's success or not ? 
ls -al gcc g++ 
gcc --version
g++ --version

如何安装多个版本的 gcc 和 g++，然后实现自动切换？

 

sudo add-apt-repository -y ppa:ubuntu-toolchain-r/test
sudo apt update

sudo update-alternatives --remove-all gcc
sudo update-alternatives --remove-all g++
sudo apt-get install -y gcc-4.8 g++-4.8 gcc-4.9 g++-4.9 gcc-5 g++-5 gcc-6 g++-6 gcc-7 g++-7

sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 10
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 20
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 30
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-6 40
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 50

sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.8 10
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 20
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-5 30
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-6 40
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-7 50

sudo update-alternatives --set cc /usr/bin/gcc
sudo update-alternatives --set c++ /usr/bin/g++

 

 

 

 

如果需要 gcc 3.4.6，还可以安装这２个包： 
gcc34 https://drive.google.com/file/d/0B7S255p3kFXNRTkzQnRSNXZ6UVU/view?usp=sharing 
g++34 https://drive.google.com/file/d/0B7S255p3kFXNV3J3bnVoWGNWdG8/view?usp=sharing 
下载后用 sudo dpkg -i package_name 安装，然后执行：

sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc34 5
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++34 5

 

切换命令：

sudo update-alternatives --config gcc
sudo update-alternatives --config g++

 

5. 安装BLAS：　　

sudo apt-get install libatlas-base-dev 

6. 安装其他依赖项：

sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

7. 安装opencv:

#[compiler]
sudo apt-get install build-essential  
#[required]
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev  
#[optional]
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev  

8. 安装cudnn: 

　解压cudnn的包（官网得申请，用网盘搜索能找到最新的），有include和lib64，里面文件复制到对应/usr/local/cuda/对应文件夹里

#进到对应文件夹
sudo cp cudnn.h /usr/local/cuda/include/  

#进到对应文件夹
sudo cp lib* /usr/local/cuda/lib64/  

#进行一次 
sudo ldconfig -v

9. 安装caffe:

Caffe

git clone https://github.com/BVLC/caffe.git  
cp Makefile.config.example Makefile.config  

修改Makefile.config，去掉cudnn的注释，其他的在当前应用场景可不变。

make all  
make test  
make runtest  

10. 安装matlab:

Many Tutorials online, we just ignore this part here. 

11. can not find "hdf5.h":

# Whatever else you find you need goes here.
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
 

12. 编译caffe的时候，提示：
CXX examples/cifar10/convert_cifar_data.cpp
CXX examples/siamese/convert_mnist_siamese_data.cpp
AR -o .build_release/lib/libcaffe.a
LD -o .build_release/lib/libcaffe.so.1.0.0-rc3
/usr/bin/ld: cannot find -lhdf5_hl
/usr/bin/ld: cannot find -lhdf5
collect2: error: ld returned 1 exit status
Makefile:563: recipe for target '.build_release/lib/libcaffe.so.1.0.0-rc3' failed
make: *** [.build_release/lib/libcaffe.so.1.0.0-rc3] Error 1
wangxiao@GTX980:~/Downloads/caffe-master$
-------------------

怎么破？

do as issue 12. Change the Makefile.config: 

# Whatever else you find you need goes here.
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

 

 13. 安装 MKL:

 

+ View Code

 

　　

 

 15. 可能需要添加的东西：

配置Makefile文件（实现对OpenCV3.x的支持）

查找“Derive include and lib directories”一节，修改“LIBRARIES +=”的最后一行，增加opencv_imgcodecs

opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs

 16. 运行caffe案例：

1. 数据预处理

$ sudo shdata/mnist/get_mnist.sh

2. 重建lmdb文件。Caffe支持三种数据格式输入网络，包括Image(.jpg, .png等)，leveldb，lmdb，根据自己需要选择不同输入吧。

$sudo shexamples/mnist/create_mnist.sh

生成mnist-train-lmdb 和 mnist-train-lmdb文件夹，这里包含了lmdb格式的数据集

注：我执行此命令的时候报告说not in gzformat，后来发现是联网下载的mnist数据有问题，然后我就去网上了下载了mnist数据集，后在ubuntu上手动解压的，再执行后面的命令。

3. 训练mnist
$ sudo shexamples/mnist/train_lenet.sh

 17. when compile caffe:

View Code

what the fuck :::

...

 

OK, 改为ubuntu Kylic版本了，哎，还是麒麟好用啊。。。坑逼

---

 

18. when use the matlab demo from caffe file:

　　after make matcaffe, and it warning me it's OK. and when run the demo, it shown me the errors like this:

　　Invalid MEX-file '/home/wangxiao/Downloads/caltech_256_caffe_master/matlab/+caffe/private/caffe_.mexa64': libcudart.so.7.5: cannot open shared object file: No such file or directory 

　　What should I do for this ??

　　

　　 You must remember the following operation, because it really worked well ! Yeah !!!

---

 

　　error while loading shared libraries: libcudart.so.7.5: cannot open shared object file: No such file or directory

　　32-bit:   sudo ldconfig /usr/local/cuda/lib

　　64-bit:   sudo ldconfig /usr/local/cuda/lib64

 

　　今天悲剧的发现, 执行了 64-bit 之后出现错误:　　　

　　wangxiao@AHU:~/Downloads/caffe-master$ sudo ldconfig /usr/local/cuda/lib64

　　/sbin/ldconfig.real: /usr/local/cuda/lib64/libcudnn.so.5 is not a symbolic link

　　不知道问题何在啊?怎么解决???　　

　　##############################################
　　##  有时候需要更新软链接:
　　
　　cd /usr/local/cuda/lib64/  
　　sudo rm -rf libcudnn.so libcudnn.so.7.5  
　　sudo ln -s libcudnn.so.7.5.48 libcudnn.so.7.5  
　　sudo ln -s libcudnn.so.7.5 libcudnn.so  

---

 

19. When compile caffe, some times it always shown you a mistake like this:

CXX src/caffe/util/db_leveldb.cpp
In file included from src/caffe/util/signal_handler.cpp:7:0:
./include/caffe/util/signal_handler.h:4:34: fatal error: caffe/proto/caffe.pb.h: No such file or directory
#include "caffe/proto/caffe.pb.h"
^
compilation terminated.
The bug is not reproducible, so it is likely a hardware or OS problem.
make: *** [.build_release/src/caffe/util/signal_handler.o] Error 1
make: *** Waiting for unfinished jobs....
^Cmake: *** [.build_release/src/caffe/util/math_functions.o] Interrupt
make: *** [.build_release/src/caffe/net.o] Interrupt
make: *** wait: No child processes. Stop.

 

Do you how to solve this problem ???  Just becase the lost of the file : caffe.pb.h, and this file is actually generated from the process of compile. Do the following operation will help you solve the problem:

　　Just input make in your terminal:  make 

　　Then, press ctrl+c to stop it, and input: make -j8 

　　All process will be normal now !

　　Here is a figure to help you understand this all process.

---

 20. You also maybe meet a error like this:

+ View Code

Just add a word in you Makefile, following:

1	LIBRARIES += opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs

 

21. 利用caffe 的matlab借口提取feature的时候：碰到了这个问题：怎么破 ？

　　　　

　　Undefined function 'caffe_' for input arguments of type 'char'.

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

　　Error in Copy_of_Label_all_ (line 11)
　　caffe.set_mode_gpu();

 

　　答：因为没有编译matlab接口，即：make matcaffe 执行这句，完了之后，你就发现，yeah，可以了。。。

 

22. protobuf 的下载与安装

　　from: https://github.com/protocolbuffers/protobuf/tree/master/src

 

You can get the source by "git clone" our git repository. Make sure you have also cloned the submodules and generated the configure script (skip this if you are using a release .tar.gz or .zip package):

$ git clone https://github.com/protocolbuffers/protobuf.git
$ cd protobuf
$ git submodule update --init --recursive
$ ./autogen.sh
To build and install the C++ Protocol Buffer runtime and the Protocol Buffer compiler (protoc) execute the following:

$ ./configure
$ make
$ make check
$ sudo make install
$ sudo ldconfig # refresh shared library cache.

 

 

 

　　

23. 将 wide residual network 的 python 脚本生成 其对应的 protext 文件,出现问题:

wangxiao@AHU:~/Downloads/caffe-master$ python ./python/wide_residual_network.py
Traceback (most recent call last):
File "./python/wide_residual_network.py", line 62, in
make_net(tgt_file)
File "./python/wide_residual_network.py", line 58, in make_net
print(resnet_cifar(depth=16, widen_factor=8), file=f)
File "./python/wide_residual_network.py", line 53, in resnet_cifar
return to_proto(loss, acc)
File "/home/wangxiao/Downloads/caffe-master/python/caffe/net_spec.py", line 50, in to_proto
top.fn._to_proto(layers, {}, autonames)
--------------------- 类似这种转换 ------- 此处略写 -----------------------
inp._to_proto(layers, names, autonames)
File "/home/wangxiao/Downloads/caffe-master/python/caffe/net_spec.py", line 97, in _to_proto
return self.fn._to_proto(layers, names, autonames)
File "/home/wangxiao/Downloads/caffe-master/python/caffe/net_spec.py", line 136, in _to_proto
inp._to_proto(layers, names, autonames)
AttributeError: 'NoneType' object has no attribute '_to_proto'
wangxiao@AHU:~/Downloads/caffe-master$

 

　　 搜到一个答案,但是不知所云:

　　　　http://stackoverflow.com/questions/15232832/python-regex-attributeerror-nonetype-object-has-no-attribute-groups

　　哎 坑啊 ...

 

24. 要用 CUDNN，因为训练速度会提升好几倍！！！

 

25. 编译 caffe 出现：

XX src/caffe/layers/cudnn_sigmoid_layer.cpp
CXX src/caffe/layers/deconv_layer.cpp
src/caffe/net.cpp:8:18: fatal error: hdf5.h: No such file or directory
#include "hdf5.h"
^
compilation terminated.
Makefile:572: recipe for target '.build_release/src/caffe/net.o' failed
make: *** [.build_release/src/caffe/net.o] Error 1
make: *** Waiting for unfinished jobs....
wangxiao@csdl:~/pedestrian_attributes/43_attribute_caffe_master_$ ^C
wangxiao@csdl:~/pedestrian_attributes/43_attribute_caffe_master_$

 那么，怎么解决这个问题？添加两行路径：

 　　/usr/include/hdf5/serial 

　　/usr/lib/x86_64-linux-gnu/hdf5/serial

　　

 

 26. caffe 配置 python 环境变量: 参考博文:http://blog.csdn.net/yingyujianmo/article/details/51014440

　  

　　添加环境变量 
　　　　vim ~/.bashrc
　　将export PYTHONPATH=/home/wanghh/caffe/python:$PYTHONPATH添加到文件中。 
　　　　source ~/.bashrc
　　这样，在其他地方打开python，也可以import caffe了。

 

　　

 

 

---

27. caffe 配置 python, some times, it shown us: no module named caffe: 

　　at this moment, maybe you should add those codes into your file, like :

　　

　　then, you can check it again. It will be OK. 

 

28. when install new softwares, I find this error: 

You might want to run 'apt-get -f install' to correct these:
The following packages have unmet dependencies:
kate : Depends: kdelibs4c2a (>= 4:3.5.9) but it is not going to be installed
Depends: libqt3-mt (>= 3:3.3.8b) but it is not going to be installed
Recommends: kregexpeditor but it is not installable
kscope : Depends: kdelibs4c2a (>= 4:3.5.7-1) but it is not going to be installed
Depends: libaudio2 but it is not going to be installed
Depends: libqt3-mt (>= 3:3.3.8really3.3.7) but it is not going to be installed
Depends: cscope but it is not going to be installed
Depends: exuberant-ctags but it is not going to be installed
Depends: graphviz but it is not going to be installed
E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution). 

 

try this operation on the terminal, it will solve this issue: 

==>> $: apt-get -f install    

 

29. when compile matconvnet, it shown me error like this: 

+ View Code

　　

==>> Update your MatConvnet version. It indeed contain such errors in this version. 

 

30. json_parser_read.hpp:257:264: error: ‘type name’ declared as function returning an array escape 

when compile caffe file in SSD, it shown me the error like this: 

json_parser_read.hpp:257:264: error: ‘type name’ declared as function returning an array escape 

Just like this blog said, you need do this: 

 

修改json_parser_read.hpp：打开文件夹Document，选中computer，在搜索json_parser_read.hpp，找到该文件的路径之后用如下命令打开

 

sudo gedit /usr/include/boost/property_tree/detail/json_parser_read.hpp

 

将257行开始的escape代码段注释掉即可，如下：

 

/*escape
                    =   chset_p(detail::widen("\"\\/bfnrt").c_str())
                            [typename Context::a_escape(self.c)]
                    |   'u' >> uint_parser()
                            [typename Context::a_unicode(self.c)]
                    ;*/

 

---

 

31.  ImportError: No module named caffe.proto

wangxiao@AHU:~/Documents/caffe$ ./data/VOC0712/create_data.sh
Traceback (most recent call last):
File "/home/wangxiao/Documents/caffe/data/VOC0712/../../scripts/create_annoset.py", line 7, in
from caffe.proto import caffe_pb2
ImportError: No module named caffe.proto
Traceback (most recent call last):
File "/home/wangxiao/Documents/caffe/data/VOC0712/../../scripts/create_annoset.py", line 7, in
from caffe.proto import caffe_pb2
ImportError: No module named caffe.proto 

 

Solution:   export PYTHONPATH=/home/wangxiao/Documents/caffe/python:$PYTHONPATH 

then, run: ./data/VOC0712/create_data.sh  

it will be OK. 

 

---

32. ImportError: No Module named caffe:

import sys

sys.path.append("/（你的caffe-master路径）/caffe-master/python")

sys.path.append("/（你的caffe-master路径）/caffe-master/python/caffe")  

 

33. OpenCV Error: 

OpenCV Error: Unspecified error (The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script) in cvShowImage, file /io/opencv/modules/highgui/src/window.cpp, line 583 Traceback (most recent call last):   File "./show_tracker_vot.py", line 30, in     objTrackerVis.trackAll(0, 1)   File "/home/wangxiao/Downloads/goTURN-tensorflow/PY-GOTURN-master/src/tracker_manager.py", line 55, in trackAll     cv2.imshow('input', sMatImage) cv2.error: /io/opencv/modules/highgui/src/window.cpp:583: error: (-2) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function cvShowImage  

==>> do the following opeartions: 

1 2 3 4 5 6 7 8 9 10

1.Remove installed OpenCV version to avoid mess up later   pip3 uninstall opencv-python 2.Lower you python version to 3.5(current version 3.6 has different problems with conda, which we will use to install OpenCV)   conda install python=3.5 3.Finally use conda, to install working version of OpenCV   conda install -c menpo opencv3  sudo apt-get install libgtk-3-dev

　　

 

34. when running a tensorflow code, it shown me a error: 

ImportError: libcudnn.so.6: cannot open shared object file: No such file or directory

Failed to load the native TensorFlow runtime.

==>> well, this is because the version of tensorflow. Currently, the most recent tensorflow is version 1.3.0, and it need cudnn v6+. but my machine still use the cudnn v5.1. 

Thus the error occured. You can sovle this problem by install tensorflow v1.2.0, as following:

1	sudo pip install --user tensorflow==1.2.0

35. How to install keras with specific version, not the newest one ???  

1	sudo pip install keras==1.2

36. ankit@Ankit:~/caffe$ make all
CXX/LD -o .build_release/tools/convert_imageset.bin
.build_release/lib/libcaffe.so: undefined reference to cv::imread(cv::String const&, int)' .build_release/lib/libcaffe.so: undefined reference tocv::imencode(cv::String const&, cv::_InputArray const&, std::vector&, std::vector const&)'
.build_release/lib/libcaffe.so: undefined reference to `cv::imdecode(cv::_InputArray const&, int)'
collect2: error: ld returned 1 exit status
make: *** [.build_release/tools/convert_imageset.bin] Error 1 

Solution: 

 

1 2 3

1. add "opencv_imgcodecs" in Makefile.(opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs)   2. delete all the file in build(rm -rf ./build/*) before "make all".

 

37. new issues about new version of cuda:  

CXX src/caffe/parallel.cpp
NVCC src/caffe/solvers/adadelta_solver.cu
nvcc fatal : Unsupported gpu architecture 'compute_20'
Makefile:576: recipe for target '.build_release/cuda/src/caffe/solvers/adadelta_solver.o' failed
make: *** [.build_release/cuda/src/caffe/solvers/adadelta_solver.o] Error 1
make: *** 正在等待未完成的任务....

==>> SOlution: from: https://askubuntu.com/questions/960238/nvcc-fatal-unsupported-gpu-architecture-compute-20  

 

　　

38. when compile caffe on our linux server, following errors occured: 

/usr/include/c++/7/bits/exception_ptr.h(90): error: use of a local type to declare a function

/usr/include/c++/7/bits/exception_ptr.h(90): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(91): error: use of a local type to declare a function

/usr/include/c++/7/bits/exception_ptr.h(93): error: namespace "__cxxabiv1::std" has no member "make_exception_ptr"

/usr/include/c++/7/bits/exception_ptr.h(93): error: a template friend declaration cannot be declared in a local class

/usr/include/c++/7/bits/exception_ptr.h(93): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(96): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(98): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(101): error: incomplete type is not allowed

/usr/include/c++/7/bits/exception_ptr.h(101): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(122): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(132): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(149): error: use of a local type to declare a function

/usr/include/c++/7/bits/exception_ptr.h(150): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(153): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(158): error: use of a local type to declare a function

/usr/include/c++/7/bits/exception_ptr.h(159): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(162): error: use of a local type to declare a function

/usr/include/c++/7/bits/exception_ptr.h(163): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(166): error: use of a local type to declare a function

/usr/include/c++/7/bits/exception_ptr.h(167): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(179): error: expected a ";"

/usr/include/c++/7/bits/exception_ptr.h(214): error: expected a ";"

/usr/include/c++/7/bits/move.h(46): error: identifier "constexpr" is undefined

/usr/include/c++/7/bits/move.h(46): error: "_Tp" is not a function or static data member

/usr/include/c++/7/bits/move.h(51): error: expected a ";"

/usr/include/c++/7/type_traits(71): error: identifier "constexpr" is undefined

/usr/include/c++/7/type_traits(71): error: template parameter "_Tp" may not be redeclared in this scope

/usr/include/c++/7/type_traits(71): error: expected a ";"

/usr/include/c++/7/type_traits(72): error: member "__cxxabiv1::std::integral_constant<_Tp, __v>::_Tp" is not a type name

/usr/include/c++/7/type_traits(73): error: member "__cxxabiv1::std::integral_constant<_Tp, __v>::_Tp" is not a type name

/usr/include/c++/7/type_traits(74): error: identifier "constexpr" is undefined

/usr/include/c++/7/type_traits(74): error: expected a ";"

/usr/include/c++/7/type_traits(84): error: identifier "constexpr" is undefined

/usr/include/c++/7/type_traits(84): error: "_Tp" is not a function or static data member

/usr/include/c++/7/type_traits(93): error: expected a declaration

/usr/include/c++/7/type_traits(93): error: expected a ";"

/usr/include/c++/7/type_traits(126): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

/usr/include/c++/7/type_traits(154): error: __bool_constant is not a template

/usr/include/c++/7/type_traits(154): error: not a class or struct name

/usr/include/c++/7/type_traits(245): error: identifier "char16_t" is undefined

/usr/include/c++/7/type_traits(249): error: identifier "char32_t" is undefined

/usr/include/c++/7/type_traits(249): error: class "__cxxabiv1::std::__is_integral_helper<>" has already been defined

/usr/include/c++/7/type_traits(362): error: namespace "__cxxabiv1::std" has no member "size_t"

/usr/include/c++/7/type_traits(463): error: expected a ">"

/usr/include/c++/7/type_traits(467): error: expected a ">"

/usr/include/c++/7/type_traits(475): error: expected a ">"

/usr/include/c++/7/type_traits(479): error: expected a ">"

/usr/include/c++/7/type_traits(487): error: expected a ">"

/usr/include/c++/7/type_traits(491): error: expected a ">"

/usr/include/c++/7/type_traits(499): error: expected a ">"

/usr/include/c++/7/type_traits(503): error: expected a ">"

/usr/include/c++/7/type_traits(511): error: expected a ">"

/usr/include/c++/7/type_traits(515): error: expected a ">"

/usr/include/c++/7/type_traits(523): error: expected a ">"

/usr/include/c++/7/type_traits(527): error: expected a ">"

/usr/include/c++/7/type_traits(535): error: expected a ">"

/usr/include/c++/7/type_traits(539): error: expected a ">"

/usr/include/c++/7/type_traits(547): error: expected a ">"

/usr/include/c++/7/type_traits(551): error: expected a ">"

/usr/include/c++/7/type_traits(561): error: namespace "__cxxabiv1::std" has no member "nullptr_t"

/usr/include/c++/7/type_traits(582): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

/usr/include/c++/7/type_traits(588): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

/usr/include/c++/7/type_traits(595): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

/usr/include/c++/7/type_traits(602): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

/usr/include/c++/7/type_traits(612): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

/usr/include/c++/7/type_traits(638): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

/usr/include/c++/7/type_traits(748): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

/usr/include/c++/7/type_traits(762): error: expected a ";"

/usr/include/c++/7/type_traits(777): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

/usr/include/c++/7/type_traits(787): error: expected a ")"

/usr/include/c++/7/type_traits(798): error: an explicit template argument list is not allowed on this declaration

/usr/include/c++/7/type_traits(798): error: expected a type specifier

/usr/include/c++/7/type_traits(798): error: function returning function is not allowed

/usr/include/c++/7/type_traits(798): error: expected a ";"

/usr/include/c++/7/type_traits(804): error: space required between adjacent ">" delimiters of nested template argument lists (">>" is the right shift operator)

Error limit reached.
100 errors detected in the compilation of "/tmp/tmpxft_000038a7_00000000-13_conv_layer.compute_50.cpp1.ii".
Compilation terminated.
make: *** [Makefile:578: .build_release/cuda/src/caffe/layers/conv_layer.o] Error 1 

 

==>> still have no answer yet. 

 

39. Caffe-SSD compile error: 

nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
/usr/include/boost/property_tree/detail/json_parser_read.hpp: In constructor ‘boost::property_tree::json_parser::json_grammar::definition::definition(const boost::property_tree::json_parser::json_grammar&)’:
/usr/include/boost/property_tree/detail/json_parser_read.hpp:257:264: error: ‘type name’ declared as function returning an array
escape
^
/usr/include/boost/property_tree/detail/json_parser_read.hpp:257:264: error: ‘type name’ declared as function returning an array
make: *** [.build_release/cuda/src/caffe/layers/detection_output_layer.o] Error 1

 

Answer from: https://github.com/BVLC/caffe/issues/4957 

$ sudo add-apt-repository ppa:ubuntu-toolchain-r/test
$ sudo apt-get update
$ sudo apt-get install gcc-5 g++-5
mona@pascal:~$ gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/5/lto-wrapper
Target: x86_64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu 5.4.1-2ubuntu1~14.04' --with-bugurl=file:///usr/share/doc/gcc-5/README.Bugs --enable-languages=c,ada,c++,java,go,d,fortran,objc,obj-c++ --prefix=/usr --program-suffix=-5 
--enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes 
--with-default-libstdcxx-abi=gcc4-compatible --disable-libstdcxx-dual-abi --enable-gnu-unique-object --disable-vtable-verify --enable-libmpx --enable-plugin --with-system-zlib --disable-browser-plugin --enable-java-awt=gtk 
--enable-gtk-cairo --with-java-home=/usr/lib/jvm/java-1.5.0-gcj-5-amd64/jre --enable-java-home --with-jvm-root-dir=/usr/lib/jvm/java-1.5.0-gcj-5-amd64 --with-jvm-jar-dir=/usr/lib/jvm-exports/java-1.5.0-gcj-5-amd64 
--with-arch-directory=amd64 --with-ecj-jar=/usr/share/java/eclipse-ecj.jar --enable-objc-gc --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib 
--with-tune=generic --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu
Thread model: posix
gcc version 5.4.1 20160904 (Ubuntu 5.4.1-2ubuntu1~14.04) 

 At this moment, you already installed gcc and g++ V5 successfully. You just remove the old super-link and add the new one: 

 

cd /usr/bin
sudo rm gcc 
sudo ln -s gcc-5 gcc 
sudo rm g++ 
sudo ln -s g++-5 g++ 

 

40. 各种版本的 cudnn，百度云下载：

链接: https://pan.baidu.com/s/1j_DzNZ2Lux95TQDjPQhoBQ 密码: sjrc 

 

41.