ubuntu 同時安裝cuda8.0與cuda9.0,cuda9.1
部分程式碼需要cuda8.0，部分需要cuda9.0 於是萌生了同時安裝2個版本的想法。
0 前提：
ubuntu 16.04. x86_64
已經安裝 cuda 8.0:
nvcc –version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2016 NVIDIA Corporation
Built on Tue_Jan_10_13:22:03_CST_2017
Cuda compilation tools, release 8.0, V8.0.611 下載 cuda 9.0：
2. 在自己的目錄下為cuda9.0新建一個資料夾，用於存放 cuda_9.0.176_384.81_linux.run
3. 生成可執行檔案
chmod 777 cuda_9.0.176_384.81_linux.run4. 執行：
./cuda_9.0.176_384.81_linux.run5. 一些安裝過程：
(因為我需要保留cuda8.0 於是暫時不做軟連線 )
Do you want to install a symbolic link at /usr/local/cuda?
(y)es/(n)o/(q)uit: n Do you accept the previously read EULA? accept/decline/quit: accept Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81? (y)es/(n)o/(q)uit: y Do you wish to run the installation with 'sudo'? (y)es/(n)o: y Please enter your password: Do you want to install the OpenGL libraries? (y)es/(n)o/(q)uit [ default is yes ]: Do you want to run nvidia-xconfig? This will update the system X configuration file so that the NVIDIA X driver is used. The pre-existing X configuration file will be backed up. This option should not be used on systems that require a custom X configuration, such as systems with multiple GPU vendors. (y)es/(n)o/(q)uit [ default is no ]: Install the CUDA 9.0 Toolkit? (y)es/(n)o/(q)uit: y Enter Toolkit Location [ default is /usr/local/cuda-9.0 ]: Do you want to install a symbolic link at /usr/local/cuda? (y)es/(n)o/(q)uit: n Install the CUDA 9.0 Samples? (y)es/(n)o/(q)uit: y Enter CUDA Samples Location [ default is /home/linlf ]: /home/linlf/tools/cuda9.0
5報錯：
Itappears that an X server is running. Please exit X beforeinstallation. If you're sure that X is not running, but are gettingthis error, please delete any X lock files in /tmp.
6.1 檢視 X：psaux | grep X
6.2 關閉X. light型別的桌面系統
Sudo /etc/init.d/lightdm stop
6.4 接著按照第一步第方法繼續安裝cuda9.0
7 修改配置檔案：
export PATH="/usr/local/cuda/bin:$PATH" export LD_LIBRARY_PATH="/usr/local/cuda/lib64:$LD_LIBRARY_PATH" export LIBRARY_PATH="/usr/local/cuda/lib64:$LIBRARY_PATH"
8。 配置檔案生效：
source ~/.bashrc9。然後就可以切換8.0與 9.0了：
rm –rf /usr/local/cuda
ln -s /usr/local/cuda-9.0 /usr/local/cuda10。若別的使用者需要使用到。同樣如上切換。
11。 最後進入 cuda9.0的sample。make所有第例子.
(後續：)
12 若需要再安裝cuda9.1: 會報錯：
15 Using built-in stream user interface
16 -> Detected 56 CPUs online; setting concurrency level to 32.
17 -> License accepted by command line option.
18 -> Installing NVIDIA driver version 387.26.
19 -> The NVIDIA driver appears to have been installed previously using a different installer. To prevent potential conflicts, it is recommended either to update the
existing installation using the same mechanism by which it was originally installed, or to uninstall the existing installation before installing this driver. 20
21 Please review the message provided by the maintainer of this alternate installation method and decide how to proceed:
22
23 The package that is already installed is named nvidia-384.
24
25 You can upgrade the driver by running:
26 `apt-get install nvidia-384 nvidia-modprobe nvidia-settings`
27
28 You can remove nvidia-384, and all related packages, by running:
29 `apt-get remove --purge nvidia-384 nvidia-modprobe nvidia-settings`
30
31 This package is maintained by NVIDIA ([email protected]).
32
33
34 (Answer: Abort installation)
35 ERROR: The installation was canceled due to the availability or presence of an alternate driver installation. Please see /var/log/nvidia-installer.log for more de
tails.意思是CUDA 驅動版本衝突：
CUDA8.0依賴的是384版本驅動，而CUDA9.1依賴的是387版本驅動，因此需要更新/解除安裝384驅動。
解除安裝：
sudo apt-get remove --purge nvidia-384 nvidia-modprobe nvidia-settings解除安裝細節：
[email protected]:~/tools/cuda9.1$ sudo apt-get remove --purge nvidia-384 nvidia-modprobe n
vidia-settingsReading package lists... Done
Building dependency tree
Reading state information... Done
The following packages were automatically installed and are no longer required:
apt-xapian-index aptitude-common cuda-command-line-tools-8-0 cuda-core-8-0
cuda-cublas-8-0 cuda-cublas-dev-8-0 cuda-cudart-8-0 cuda-cudart-dev-8-0
cuda-cufft-8-0 cuda-cufft-dev-8-0 cuda-curand-8-0 cuda-curand-dev-8-0
cuda-cusolver-8-0 cuda-cusolver-dev-8-0 cuda-cusparse-8-0 cuda-cusparse-dev-8-0
cuda-documentation-8-0 cuda-driver-dev-8-0 cuda-license-8-0 cuda-misc-headers-8-0
cuda-npp-8-0 cuda-npp-dev-8-0 cuda-nvgraph-8-0 cuda-nvgraph-dev-8-0 cuda-nvml-dev-8-0
cuda-nvrtc-8-0 cuda-nvrtc-dev-8-0 cuda-samples-8-0 cuda-toolkit-8-0
cuda-visual-tools-8-0 dh-apparmor fonts-dejavu g++-4.8 g++-4.8-multilib
gir1.2-gconf-2.0 gir1.2-gnomebluetooth-1.0 gstreamer1.0-clutter iproute
lib32stdc++-4.8-dev libatk-wrapper-java libatk-wrapper-java-jni libavcodec54
libavformat54 libavutil52 libboost-atomic1.54.0 libboost-chrono1.54.0
libboost-context1.54.0 libboost-date-time1.54.0 libboost-filesystem1.54.0
libboost-graph1.54.0 libboost-iostreams1.54.0 libboost-locale1.54.0
libboost-log1.54.0 libboost-math1.54.0 libboost-program-options1.54.0
libboost-python1.54.0 libboost-random1.54.0 libboost-regex1.54.0
libboost-serialization1.54.0 libboost-signals1.54.0 libboost-system1.54.0
libboost-test1.54.0 libboost-thread1.54.0 libboost-timer1.54.0 libboost-wave1.54.0
libc-ares2 libcamel-1.2-45 libclutter-gst-2.0-0 libcolord1 libcolorhug1 libcr0
libcwidget3 libdbi1 libebackend-1.2-7 libebook-1.2-14 libebook-contacts-1.2-0
libedata-book-1.2-20 libedataserver-1.2-18 libegl1-mesa-drivers libelfg0 libept1.4.12
libgcrypt11-dev libgdata13 libgee2 libgif4 libgnome-bluetooth11 libgnome-desktop-3-7
libgnutlsxx27 libgphoto2-port10 libgtop2-7 libicu52 libilmbase6 libimobiledevice4
libisl10 libjavascriptcoregtk-3.0-0 libllvm3.4 libmbim-glib0 libmysqlclient-dev
libmysqlclient18 libopenexr6 libopenjpeg2 libopenvg1-mesa libpango1.0-0 libpci-dev
libplist1 libpoppler44 libqmi-glib0 libqpdf13 libqt5positioning5 libqt5sensors5
libqt5test5 librrd4 libservlet3.0-java libsigc++-2.0-0c2a libsqlite3-dev libswscale2
libsystemd-journal0 libtorque2 libupower-glib1 libusbmuxd2 libv8-3.14.5 libvpx1
libvte-2.90-9 libvte-2.90-common libwebkitgtk-3.0-0 libwebkitgtk-3.0-common
libx264-142 libx32stdc++-4.8-dev libxcb-util0 libxen-4.4 libzeitgeist-1.0-1
linux-image-3.13.0-145-generic linux-image-extra-3.13.0-145-generic
linux-image-generic-lts-xenial linux-lts-xenial-cloud-tools-4.4.0-31
linux-lts-xenial-tools-4.4.0-31 nvidia-prime obex-data-server php5-cli php5-common
php5-json php5-readline python-colorama python-cups python-dbus-dev python-distlib
python-gnomekeyring python-gobject python-html5lib python-notify python-pycurl
python-smbc python-urlgrabber python-xapian python3-colorama python3-distlib
python3-imaging ttf-dejavu ttf-dejavu-core ttf-dejavu-extra watershed
Use 'sudo apt autoremove' to remove them.
The following packages will be REMOVED:
cuda* cuda-8-0* cuda-demo-suite-8-0* cuda-drivers* cuda-runtime-8-0* libcuda1-384*
libcupti5.5* nvidia-384* nvidia-384-dev* nvidia-modprobe* nvidia-opencl-icd-384*
nvidia-settings*
0 upgraded, 0 newly installed, 12 to remove and 56 not upgraded.
After this operation, 375 MB disk space will be freed.
Do you want to continue? [Y/n] y
(Reading database ... 219065 files and directories currently installed.)
Removing cuda (8.0.61-1) ...
Removing cuda-8-0 (8.0.61-1) ...
Removing cuda-demo-suite-8-0 (8.0.61-1) ...
Removing cuda-runtime-8-0 (8.0.61-1) ...
Removing cuda-drivers (384.111-1) ...
Removing libcupti5.5:amd64 (5.5.22-3ubuntu1) ...
Purging configuration files for libcupti5.5:amd64 (5.5.22-3ubuntu1) ...
Removing libcuda1-384 (384.111-0ubuntu1) ...
Purging configuration files for libcuda1-384 (384.111-0ubuntu1) ...
Removing nvidia-opencl-icd-384 (384.111-0ubuntu1) ...
Purging configuration files for nvidia-opencl-icd-384 (384.111-0ubuntu1) ...
Removing nvidia-384-dev (384.111-0ubuntu1) ...
Removing nvidia-384 (384.111-0ubuntu1) ...
Removing all DKMS Modules
Done.
update-alternatives: using /usr/lib/nvidia-384-prime/ld.so.conf to provide /etc/ld.so.con
f.d/x86_64-linux-gnu_GL.conf (x86_64-linux-gnu_gl_conf) in auto modeupdate-alternatives: using /usr/lib/nvidia-384-prime/ld.so.conf to provide /etc/ld.so.con
f.d/x86_64-linux-gnu_EGL.conf (x86_64-linux-gnu_egl_conf) in auto modeupdate-alternatives: using /usr/lib/nvidia-384-prime/alt_ld.so.conf to provide /etc/ld.so
.conf.d/i386-linux-gnu_GL.conf (i386-linux-gnu_gl_conf) in auto modeupdate-alternatives: using /usr/lib/nvidia-384-prime/alt_ld.so.conf to provide /etc/ld.so
.conf.d/i386-linux-gnu_EGL.conf (i386-linux-gnu_egl_conf) in auto modeupdate-alternatives: using /usr/lib/x86_64-linux-gnu/mesa/ld.so.conf to provide /etc/ld.s
o.conf.d/x86_64-linux-gnu_GL.conf (x86_64-linux-gnu_gl_conf) in auto modeupdate-alternatives: using /usr/lib/x86_64-linux-gnu/mesa-egl/ld.so.conf to provide /etc/
ld.so.conf.d/x86_64-linux-gnu_EGL.conf (x86_64-linux-gnu_egl_conf) in auto modeupdate-initramfs: deferring update (trigger activated)
Purging configuration files for nvidia-384 (384.111-0ubuntu1) ...
update-initramfs: deferring update (trigger activated)
Removing nvidia-modprobe (384.111-0ubuntu1) ...
Removing nvidia-settings (384.111-0ubuntu1) ...
Purging configuration files for nvidia-settings (384.111-0ubuntu1) ...
Processing triggers for libc-bin (2.23-0ubuntu10) ...
Processing triggers for man-db (2.7.5-1) ...
Processing triggers for initramfs-tools (0.122ubuntu8.11) ...
update-initramfs: Generating /boot/initrd.img-4.4.0-124-generic
W: Possible missing firmware /lib/firmware/ast_dp501_fw.bin for module ast
Processing triggers for desktop-file-utils (0.22-1ubuntu5.1) ...
Processing triggers for mime-support (3.59ubuntu1) ...
Processing triggers for gnome-menus (3.13.3-6ubuntu3.1) ...13. 繼續安裝cuda
安裝細節：
Installing the NVIDIA display driver...
Installing the CUDA Toolkit in /usr/local/cuda-9.1 ...
Installing the CUDA Samples in /home/linlf/tools/cuda9.1 ...
Copying samples to /home/linlf/tools/cuda9.1/NVIDIA_CUDA-9.1_Samples now...
Finished copying samples.
===========
= Summary =
===========
Driver: Installed
Toolkit: Installed in /usr/local/cuda-9.1
Samples: Installed in /home/linlf/tools/cuda9.1
Please make sure that
- PATH includes /usr/local/cuda-9.1/bin
- LD_LIBRARY_PATH includes /usr/local/cuda-9.1/lib64, or, add /usr/local/cuda-9.1/lib64 to /etc/ld.so.conf and run ldconfig as root
To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-9.1/bin
To uninstall the NVIDIA Driver, run nvidia-uninstall
Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-9.1/doc/pdf for detailed information on setting up CUDA.
Logfile is /tmp/cuda_install_31995.log14 最後，如果想更改cuda版本成9.1：
rm –rf /usr/local/cuda
ln -s /usr/local/cuda-9.1 /usr/local/cuda參考： https://blog.csdn.net/u010821666/article/details/79957071
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