【NVIDIA】Ubuntu18.04安装CUDA-9.0 (已安装CUDA-10.0, CUDNN-7.3.0)
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++-5
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 50
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-5 50
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 5.5.0-12ubuntu1' --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
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Preface
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1. NVIDIA Software License Agreement
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Release Date: October 20, 2016
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IMPORTANT NOTICE -- READ BEFORE DOWNLOADING, INSTALLING,
COPYING OR USING THE LICENSED SOFTWARE:
--------------------------------------------------------
# 按 "q"键退出协议说明 #
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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n
Install the CUDA 9.0 Toolkit?
(y)es/(n)o/(q)uit: y
Enter 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.
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= Summary =
===========
Driver: Not Selected
Toolkit: Installed in /usr/local/cuda-9.0
Samples: Installed in /data0/zzw/CUDA-9.0
Please 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 root
To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-9.0/bin
Please 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 with the name of this run file:
sudo .run -silent -driver
Logfile is /tmp/cuda_install_20700.log
# ***安装完成*** 1. 配置CUDA-9.0的环境变量：
sudo vim ~/.bashrc
export PATH=/usr/local/cuda-9.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH
source ~/.bashrc2. 使用命令nvcc -V测试是否安装成功：
nvcc -V
nvcc: 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_Samples
make
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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-9.0
sudo 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
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Do you accept the previously read EULA?
accept/decline/quit: accept
Enter 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.tgz
sudo 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/local
sudo 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