Ubuntu18.04LTS+cuda9.0+caffe(old repo老版本)

1.常用編譯需要的軟件

首先安裝必要軟件

sudo apt install make cmake

編譯GPU版需要安裝驅動

chmod 777 NVIDIA-Linux-x86_64-410.73.run
sudo ./NVIDIA-Linux-x86_64-410.73.run --no-opengl-files
# --no-opengl-files適合筆記本用戶安裝，可以防止桌面分辨率異常，臺式機可以不加
chmod 777 cuda_9.0.176_384.81_linux.run
sudo ./cuda_9.0.176_384.81_linux.run
# cuda安裝時候提示安裝驅動，選n

2.安裝caffe需要的庫

sudo apt install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
sudo apt install --no-install-recommends libboost-all-dev
sudo apt install libatlas-base-dev
sudo apt install libgflags-dev libgoogle-glog-dev liblmdb-dev

3.根據自己配置修改Makefile.config，主要是是否使用cudnn、僅使用CPU、cuda9注意刪除CUDA_ARCH 中的20和21兩行

4.編譯

make all

注意

1 如果報錯如下，protobuf版本不一致

.build_release/src/caffe/proto/caffe.pb.h:17:2: error: #error This file was generated by an older version of protoc which is

默認protobuf爲3.0版本，舊版2.5版本安裝如下

wget http://archive.ubuntu.com/ubuntu/pool/main/p/protobuf/libprotobuf8_2.5.0-9ubuntu1_amd64.deb
wget http://archive.ubuntu.com/ubuntu/pool/main/p/protobuf/libprotobuf-lite8_2.5.0-9ubuntu1_amd64.deb
wget http://archive.ubuntu.com/ubuntu/pool/main/p/protobuf/libprotobuf-dev_2.5.0-9ubuntu1_amd64.deb
sudo dpkg -i libprotobuf8_2.5.0-9ubuntu1_amd64.deb libprotobuf-lite8_2.5.0-9ubuntu1_amd64.deb libprotobuf-dev_2.5.0-9ubuntu1_amd64.deb

更多庫下載

https://ubuntu.pkgs.org/14.04/ubuntu-main-amd64/libprotobuf-lite8_2.5.0-9ubuntu1_amd64.deb.html

2 如果報錯如下，爲g++版本不兼容

src/caffe/layers/contrastive_loss_layer.cpp:56:30: error: no matching function for call to ‘max(float, double)’

 Dtype dist = std::max(margin - sqrt(dist_sq_.cpu_data()[i]), 0.0);

通過安裝低版本gcc g++解決

sudo apt install gcc-4.8 g++-4.8
cd /usr/bin
sudo ln -s gcc-4.8 gcc
sudo ln -s g++-4.8 g++

3 如果報錯如下，anaconda庫衝突

CXX/LD -o .build_release/tools/upgrade_net_proto_text.bin
.build_release/tools/upgrade_net_proto_text.o: In function `main':
/usr/include/c++/5/bits/basic_string.tcc:219: undefined reference to `std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >::_M_create(unsigned long&, unsigned long)'
/usr/lib/gcc/x86_64-linux-gnu/5/../../../x86_64-linux-gnu/libglog.so: undefined reference to `vtable for std::__cxx11::basic_stringbuf<char, std::char_traits<char>, std::allocator<char> >@GLIBCXX_3.4.21'

在makefile.config修改include路徑lib路徑等，編譯pycaffe時再添加Python的include路徑lib路徑

# Whatever else you find you need goes here.
#INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include $(CUDNN_PATH)
#LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib $(CUDNN_PATH)
INCLUDE_DIRS := /usr/local/include /usr/include/hdf5/serial /usr/include/python2.7 $(CUDNN_PATH)
LIBRARY_DIRS := /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial $(CUDNN_PATH)

4 cublas報錯

F1030 16:15:43.990840  1937 math_functions.cu:28] Check failed: status == CUBLAS_STATUS_SUCCESS (13 vs. 0)  CUBLAS_STATUS_EXECUTION_FAILED

安裝CUDA9.0會出現以上錯誤

通過安裝補丁Patch 2 (Released Mar 5, 2018)解決

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