GCC, G++版本降级：
由于CUDA 9.0仅支持GCC 6.0及以下版本，而Ubuntu 18.04预装GCC版本为7.3，故手动安装gcc-5与g++-5：
sudo apt-get install gcc-5
sudo apt-get install g++-5sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 50
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-5 50gcc -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 5.5.0-12ubuntu1' --with-bugurl=file:///usr/share/doc/gcc-5/README.Bugs --enable-languages=c,ada,c++,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=new --enable-gnu-unique-object --disable-vtable-verify --enable-libmpx --enable-plugin --enable-default-pie --with-system-zlib --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 5.5.0 20171010 (Ubuntu 5.5.0-12ubuntu1)一. CUDA-9.0下载
下载链接：CUDA Toolkit Archive
CUDA Toolkit 9.0 Downloads
下载cuda_9.0.176_384.81_linux.run及四个Patch.
二. CUDA-9.0安装
cd CUDA-9.0
sudo sh cuda_9.0.176_384.81_linux.run # 开始安装Logging to /tmp/cuda_install_20700.log
Using more to view the EULA.
End User License Agreement
--------------------------Preface
-------1. NVIDIA Software License Agreement
------------------------------------Release Date: October 20, 2016
------------------------------IMPORTANT NOTICE -- READ BEFORE DOWNLOADING, INSTALLING,
COPYING OR USING THE LICENSED SOFTWARE:
--------------------------------------------------------# 按 "q"键退出协议说明 #----------------------------------------------------------------------------------
Do you accept the previously read EULA?
accept/decline/quit: accept # 接受协议You are attempting to install on an unsupported configuration. Do you wish to continue?
(y)es/(n)o [ default is no ]: y Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81?
(y)es/(n)o/(q)uit: n # 由于已经安装显卡驱动，选择nInstall the CUDA 9.0 Toolkit?
(y)es/(n)o/(q)uit: yEnter Toolkit Location[ default is /usr/local/cuda-9.0 ]: # 工具包安装地址，默认回车即可Do you want to install a symbolic link at /usr/local/cuda?
(y)es/(n)o/(q)uit: n # 添加链接**注意这个连接，因为安装过另一个版本的cuda10.0，除非你确定想要用这个新版本的cuda，否则这里就建议选no，因为指定该链接后会将cuda指向这个新的版本**Install the CUDA 9.0 Samples?
(y)es/(n)o/(q)uit: y # 安装样例Enter CUDA Samples Location[ default is /home/zzw ]: /data0/zzw/CUDA-9.0 # 样例安装地址Installing the CUDA Toolkit in /usr/local/cuda-9.0 ...
Installing the CUDA Samples in /data0/zzw/CUDA-9.0 ...
Copying samples to /data0/zzw/CUDA-9.0/NVIDIA_CUDA-9.0_Samples now...
Finished copying samples.===========
= Summary =
===========Driver: Not Selected
Toolkit: Installed in /usr/local/cuda-9.0
Samples: Installed in /data0/zzw/CUDA-9.0Please make sure that- PATH includes /usr/local/cuda-9.0/bin- LD_LIBRARY_PATH includes /usr/local/cuda-9.0/lib64, or, add /usr/local/cuda-9.0/lib64 to /etc/ld.so.conf and run ldconfig as rootTo uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-9.0/binPlease see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-9.0/doc/pdf for detailed information on setting up CUDA.***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 384.00 is required for CUDA 9.0 functionality to work.
To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file:sudo <CudaInstaller>.run -silent -driverLogfile is /tmp/cuda_install_20700.log# ***安装完成***1. 配置CUDA-9.0的环境变量：
sudo vim ~/.bashrcexport PATH=/usr/local/cuda-9.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATHsource ~/.bashrc2. 使用命令nvcc -V测试是否安装成功：
nvcc -Vnvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130# -----------------------------------------------
Do you want to install a symbolic link at /usr/local/cuda?
(y)es/(n)o/(q)uit: n # 因为选择了n3. 编译 CUDA Samples
cd CUDA-9.0/NVIDIA_CUDA-9.0_Samplesmake------------------------------------------------------------
cp conjugateGradientUM ../../bin/x86_64/linux/release
make[1]: Leaving directory '/data0/zzw/CUDA-9.0/NVIDIA_CUDA-9.0_Samples/7_CUDALibraries/conjugateGradientUM'
Finished building CUDA samples如果没有报错，则安装完成.
4. 安装下载的四个Patch
cd CUDA-9.0sudo sh cuda_9.0.176.1_linux.run
sudo sh cuda_9.0.176.2_linux.run
sudo sh cuda_9.0.176.3_linux.run
sudo sh cuda_9.0.176.4_linux.run-------------------------------------------
Do you accept the previously read EULA?
accept/decline/quit: acceptEnter CUDA Toolkit installation directory[ default is /usr/local/cuda-9.0 ]: Installation complete!
Installation directory: /usr/local/cuda-9.0二. CUDNN7.4.2安装
下载链接：cuDNN Archive
tar -zxf cudnn-9.0-linux-x64-v7.4.2.24.tgzsudo cp lib64/libcudnn.* /usr/local/cuda-9.0/lib64/
sudo cp include/cudnn.h /usr/local/cuda-9.0/include/# 添加权限
sudo chmod a+r /usr/local/cuda-9.0/include/cudnn.h /usr/local/cuda-9.0/lib64/libcudnn*三. 使用新的CUDA-9.0
cd usr/localsudo rm -rf cuda
sudo ls -n cuda-9.0 cuda参考链接：使用TensorFlow-GUP并在Ubuntu上安装CUDA cuDNN
Ubuntu18.04深度学习环境配置
Ubuntu18.04+Cuda9.0+Cudnn7.1环境配置Tensorflow-gpu
Cuda + cudnn 在Ubuntu18.04上的手动安装