ubuntu 深度学习cuda环境搭建，docker-nvidia 2019-02
ubuntu 深度学习cuda环境搭建
ubuntu系统版本 18.04
查看GPU型号(NVS 315 性能很差,比没有强)
首先最好有ssh服务,以下操作都是远程ssh执行
lspci | grep -i nvidia
03:00.0 VGA compatible controller: NVIDIA Corporation GF119 [NVS 315] (rev a1)
03:00.1 Audio device: NVIDIA Corporation GF119 HDMI Audio Controller (rev a1)
lspci | grep -i nvidia
查看NVIDIA驱动版本
sudo dpkg --list | grep nvidia-*
一片空白
获取官方驱动
先在这找 没找到
https://www.geforce.cn/drivers
又再这里找，找到了
https://www.nvidia.cn/Download/index.aspx?lang=cn
NVIDIA 驱动程序下载
选项 1: 手动查找适用于我 的NVIDIA 产品的驱动程序。 帮助
产品类型:
产品系列:
产品家族:
操作系统:
下载类型:
语言:
跳至下载页(这是NVS 315的驱动，其他显卡不通用)
https://www.nvidia.cn/Download/driverResults.aspx/137427/cn
下载完成
ls -alh NVIDIA*
79M Dec 7 14:41 NVIDIA-Linux-x86_64-390.87.run
sudo sh NVIDIA-Linux-x86_64-390.87.run
安装报错
One or more modprobe configuration files to disable Nouveau have been written. For some distributions, this may be sufficient to disable Nouveau; other distributions may
require modification of the initial ramdisk. Please reboot your system and attempt NVIDIA driver installation again. Note if you later wish to reenable Nouveau, you will
need to delete these files: /etc/modprobe.d/nvidia-installer-disable-nouveau.conf
查看
cat /etc/modprobe.d/nvidia-installer-disable-nouveau.conf
# generated by nvidia-installer
blacklist nouveau
options nouveau modeset=0
nouveau 已由驱动安装程序禁用，但再安装还是失败报同样的信息，因为禁用未生效，Please reboot your system and attempt NVIDIA driver installation again 需重启系统
sudo reboot
继续安装开始安装
安装过程几个依赖包错误，需要gcc make
apt-get install gcc make
再安装
Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 390.87.........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
看提示操作，默认一路回车即可，安装显卡驱动还算比较顺利，安装完成后
root@social-ubuntu:/home/social# nvidia-
nvidia-bug-report.sh nvidia-cuda-mps-server nvidia-detector nvidia-modprobe nvidia-settings nvidia-uninstall
nvidia-cuda-mps-control nvidia-debugdump nvidia-installer nvidia-persistenced nvidia-smi nvidia-xconfig
root@social-ubuntu:/home/social# nvidia-smi
Fri Dec 7 14:59:18 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.87 Driver Version: 390.87 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 NVS 315 Off | 00000000:03:00.0 N/A | N/A |
| 30% 43C P8 N/A / N/A | 149MiB / 956MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
尝试nvidia-docker(docker怎么装这就不提了，https://www.tensorflow.org/install/docker，http://www.paddlepaddle.org/documentation/docs/zh/develop/beginners_guide/install/index_cn.html，docker是个大趋势，不要再折腾pip了)
安装直接参照 没难度 https://github.com/NVIDIA/nvidia-docker
nvidia-docker 成功
docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi
Unable to find image 'nvidia/cuda:9.0-base' locally
9.0-base: Pulling from nvidia/cuda
18d680d61657: Pull complete
0addb6fece63: Pull complete
78e58219b215: Pull complete
eb6959a66df2: Pull complete
6ef1ff668c93: Pull complete
f5f8f0544aa2: Pull complete
3d28d96eb352: Pull complete
Digest: sha256:764039ce9ff2cfb44d646fde6930099493334bb743e5b4f089d820de023c5d9a
Status: Downloaded newer image for nvidia/cuda:9.0-base
Fri Dec 7 07:38:00 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.87 Driver Version: 390.87 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 NVS 315 Off | 00000000:03:00.0 N/A | N/A |
| 30% 39C P8 N/A / N/A | 257MiB / 956MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
安装cuda
官方资料
查看显卡是否支持cuda
https://developer.nvidia.com/cuda-gpus
GPU Compute Capability
NVIDIA NVS 810 5.0
NVIDIA NVS 510 3.0
NVIDIA NVS 315 2.1
NVIDIA NVS 310 2.1
NVIDIA NVS 315 2.1 支持（虽然计算能力差了很多）
https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html
```
3.6. Ubuntu
Perform the pre-installation actions.
Install repository meta-data
$ sudo dpkg -i cuda-repo-<distro>_<version>_<architecture>.deb
Installing the CUDA public GPG key
When installing using the local repo:
$ sudo apt-key add /var/cuda-repo-<version>/7fa2af80.pub
When installing using network repo on Ubuntu 17.10:
$ sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/<distro>/<architecture>/7fa2af80.pub
When installing using network repo on Ubuntu 16.04:
$ sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/<distro>/<architecture>/7fa2af80.pub
Update the Apt repository cache
$ sudo apt-get update
Install CUDA
$ sudo apt-get install cuda
Perform the post-installation actions.
```
不过我没这么来,我是这么来的
https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1804&target_type=debnetwork
```
`sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb`
`sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub`
`sudo apt-get update`
`sudo apt-get install cuda`
```
一路顺利
root@social-ubuntu:/home/social# apt-get install cuda Reading package lists... Done Building dependency tree Reading state information... Done The following additional packages will be installed: build-essential ca-certificates-java cuda-10-0 cuda-command-line-tools-10-0 cuda-compiler-10-0 cuda-cublas-10-0 cuda-cublas-dev-10-0 cuda-cudart-10-0 cuda-cudart-dev-10-0 cuda-cufft-10-0 cuda-cufft-dev-10-0 cuda-cuobjdump-10-0 cuda-cupti-10-0 cuda-curand-10-0 cuda-curand-dev-10-0 cuda-cusolver-10-0 cuda-cusolver-dev-10-0 cuda-cusparse-10-0 cuda-cusparse-dev-10-0 cuda-demo-suite-10-0 cuda-documentation-10-0 cuda-driver-dev-10-0 cuda-drivers cuda-gdb-10-0 cuda-gpu-library-advisor-10-0 cuda-libraries-10-0 cuda-libraries-dev-10-0 cuda-license-10-0 cuda-memcheck-10-0 cuda-misc-headers-10-0 cuda-npp-10-0 cuda-npp-dev-10-0 cuda-nsight-10-0 cuda-nsight-compute-10-0 cuda-nvcc-10-0 cuda-nvdisasm-10-0 cuda-nvgraph-10-0 cuda-nvgraph-dev-10-0 cuda-nvjpeg-10-0 cuda-nvjpeg-dev-10-0 cuda-nvml-dev-10-0 cuda-nvprof-10-0 cuda-nvprune-10-0 cuda-nvrtc-10-0 cuda-nvrtc-dev-10-0 cuda-nvtx-10-0 cuda-nvvp-10-0 cuda-runtime-10-0 cuda-samples-10-0 cuda-toolkit-10-0 cuda-tools-10-0 cuda-visual-tools-10-0 default-jre default-jre-headless dkms dpkg-dev fakeroot fonts-dejavu-extra freeglut3 freeglut3-dev g++ g++-7 java-common libalgorithm-diff-perl libalgorithm-diff-xs-perl libalgorithm-merge-perl libatk-wrapper-java libatk-wrapper-java-jni libdpkg-perl libdrm-dev libegl1 libfakeroot libgif7 libgl1 libgl1-mesa-dev libgles1 libgles2 libglu1-mesa-dev libglvnd-core-dev libglvnd-dev libglvnd0 libglx0 libice-dev libnvidia-cfg1-410 libnvidia-common-410 libnvidia-compute-410 libnvidia-decode-410 libnvidia-encode-410 libnvidia-fbc1-410 libnvidia-gl-410 libnvidia-ifr1-410 libopengl0 libpthread-stubs0-dev libsm-dev libstdc++-7-dev libx11-dev libx11-doc libx11-xcb-dev libxau-dev libxcb-dri2-0-dev libxcb-dri3-dev libxcb-glx0-dev libxcb-present-dev libxcb-randr0-dev libxcb-render0-dev libxcb-shape0-dev libxcb-sync-dev libxcb-xfixes0-dev libxcb1-dev libxdamage-dev libxdmcp-dev libxext-dev libxfixes-dev libxi-dev libxmu-dev libxmu-headers libxnvctrl0 libxshmfence-dev libxt-dev libxxf86vm-dev mesa-common-dev nvidia-compute-utils-410 nvidia-dkms-410 nvidia-driver-410 nvidia-kernel-common-410 nvidia-kernel-source-410 nvidia-modprobe nvidia-prime nvidia-settings nvidia-utils-410 openjdk-11-jre openjdk-11-jre-headless pkg-config screen-resolution-extra x11proto-core-dev x11proto-damage-dev x11proto-dev x11proto-dri2-dev x11proto-fixes-dev x11proto-gl-dev x11proto-input-dev x11proto-xext-dev x11proto-xf86vidmode-dev xorg-sgml-doctools xserver-xorg-video-nvidia-410 xtrans-dev Suggested packages: default-java-plugin menu debian-keyring g++-multilib g++-7-multilib gcc-7-doc libstdc++6-7-dbg bzr libice-doc libsm-doc libstdc++-7-doc libxcb-doc libxext-doc libxt-doc fonts-ipafont-gothic fonts-ipafont-mincho fonts-wqy-microhei | fonts-wqy-zenhei Recommended packages: libnvidia-compute-410:i386 libnvidia-decode-410:i386 libnvidia-encode-410:i386 libnvidia-ifr1-410:i386 libnvidia-fbc1-410:i386 libnvidia-gl-410:i386 The following NEW packages will be installed: build-essential ca-certificates-java cuda cuda-10-0 cuda-command-line-tools-10-0 cuda-compiler-10-0 cuda-cublas-10-0 cuda-cublas-dev-10-0 cuda-cudart-10-0 cuda-cudart-dev-10-0 cuda-cufft-10-0 cuda-cufft-dev-10-0 cuda-cuobjdump-10-0 cuda-cupti-10-0 cuda-curand-10-0 cuda-curand-dev-10-0 cuda-cusolver-10-0 cuda-cusolver-dev-10-0 cuda-cusparse-10-0 cuda-cusparse-dev-10-0 cuda-demo-suite-10-0 cuda-documentation-10-0 cuda-driver-dev-10-0 cuda-drivers cuda-gdb-10-0 cuda-gpu-library-advisor-10-0 cuda-libraries-10-0 cuda-libraries-dev-10-0 cuda-license-10-0 cuda-memcheck-10-0 cuda-misc-headers-10-0 cuda-npp-10-0 cuda-npp-dev-10-0 cuda-nsight-10-0 cuda-nsight-compute-10-0 cuda-nvcc-10-0 cuda-nvdisasm-10-0 cuda-nvgraph-10-0 cuda-nvgraph-dev-10-0 cuda-nvjpeg-10-0 cuda-nvjpeg-dev-10-0 cuda-nvml-dev-10-0 cuda-nvprof-10-0 cuda-nvprune-10-0 cuda-nvrtc-10-0 cuda-nvrtc-dev-10-0 cuda-nvtx-10-0 cuda-nvvp-10-0 cuda-runtime-10-0 cuda-samples-10-0 cuda-toolkit-10-0 cuda-tools-10-0 cuda-visual-tools-10-0 default-jre default-jre-headless dkms dpkg-dev fakeroot fonts-dejavu-extra freeglut3 freeglut3-dev g++ g++-7 java-common libalgorithm-diff-perl libalgorithm-diff-xs-perl libalgorithm-merge-perl libatk-wrapper-java libatk-wrapper-java-jni libdrm-dev libfakeroot libgif7 libgl1-mesa-dev libgles1 libglu1-mesa-dev libglvnd-core-dev libglvnd-dev libice-dev libnvidia-cfg1-410 libnvidia-common-410 libnvidia-compute-410 libnvidia-decode-410 libnvidia-encode-410 libnvidia-fbc1-410 libnvidia-gl-410 libnvidia-ifr1-410 libopengl0 libpthread-stubs0-dev libsm-dev libstdc++-7-dev libx11-dev libx11-doc libx11-xcb-dev libxau-dev libxcb-dri2-0-dev libxcb-dri3-dev libxcb-glx0-dev libxcb-present-dev libxcb-randr0-dev libxcb-render0-dev libxcb-shape0-dev libxcb-sync-dev libxcb-xfixes0-dev libxcb1-dev libxdamage-dev libxdmcp-dev libxext-dev libxfixes-dev libxi-dev libxmu-dev libxmu-headers libxnvctrl0 libxshmfence-dev libxt-dev libxxf86vm-dev mesa-common-dev nvidia-compute-utils-410 nvidia-dkms-410 nvidia-driver-410 nvidia-kernel-common-410 nvidia-kernel-source-410 nvidia-modprobe nvidia-prime nvidia-settings nvidia-utils-410 openjdk-11-jre openjdk-11-jre-headless pkg-config screen-resolution-extra x11proto-core-dev x11proto-damage-dev x11proto-dev x11proto-dri2-dev x11proto-fixes-dev x11proto-gl-dev x11proto-input-dev x11proto-xext-dev x11proto-xf86vidmode-dev xorg-sgml-doctools xserver-xorg-video-nvidia-410 xtrans-dev The following packages will be upgraded: libdpkg-perl libegl1 libgl1 libgles2 libglvnd0 libglx0 6 upgraded, 141 newly installed, 0 to remove and 189 not upgraded. Need to get 1488 MB/1488 MB of archives. After this operation, 3700 MB of additional disk space will be used. Do you want to continue? [Y/n] Y Get:1 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-license-10-0 10.0.130-1 [17.6 kB] Get:2 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-misc-headers-10-0 10.0.130-1 [640 kB] Get:3 http://cn.archive.ubuntu.com/ubuntu bionic-updates/main amd64 libstdc++-7-dev amd64 7.3.0-27ubuntu1~18.04 [1463 kB] Get:4 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-nvcc-10-0 10.0.130-1 [20.0 MB] Get:5 http://cn.archive.ubuntu.com/ubuntu bionic-updates/main amd64 g++-7 amd64 7.3.0-27ubuntu1~18.04 [7570 kB] Get:6 http://cn.archive.ubuntu.com/ubuntu bionic-updates/main amd64 g++ amd64 4:7.3.0-3ubuntu2.1 [1572 B] Get:7 http://cn.archive.ubuntu.com/ubuntu bionic-updates/main amd64 dpkg-dev all 1.19.0.5ubuntu2.1 [608 kB] Get:8 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 build-essential amd64 12.4ubuntu1 [4758 B] Get:9 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 java-common all 0.63ubuntu1~02 [7032 B] Get:10 http://cn.archive.ubuntu.com/ubuntu bionic-updates/main amd64 openjdk-11-jre-headless amd64 10.0.2+13-1ubuntu0.18.04.4 [39.5 MB] Get:11 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-cuobjdump-10-0 10.0.130-1 [130 kB] Get:12 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-nvprune-10-0 10.0.130-1 [36.8 kB] Get:13 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-compiler-10-0 10.0.130-1 [2538 B] Get:14 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-nvdisasm-10-0 10.0.130-1 [22.1 MB] 5% [10 openjdk-11-jre-headless 5263 kB/39.5 MB 13%] [14 cuda-nvdisasm-10-0 6016 kB/22.1 MB 27%] 583 kB/s 41min 21s 5% [10 openjdk-11-jre-headless 5466 kB/39.5 MB 14%] [14 cuda-nvdisasm-10-0 6230 kB/22.1 MB 28%] 583 kB/s 41min 20s Get:15 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-gdb-10-0 10.0.130-1 [2769 kB] Get:16 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-nvprof-10-0 10.0.130-1 [5590 kB] Get:17 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-memcheck-10-0 10.0.130-1 [139 kB] Get:18 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-cudart-10-0 10.0.130-1 [109 kB] Get:19 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-driver-dev-10-0 10.0.130-1 [12.0 kB] Get:20 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-cudart-dev-10-0 10.0.130-1 [457 kB] Get:21 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-cupti-10-0 10.0.130-1 [1564 kB] Get:22 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-gpu-library-advisor-10-0 10.0.130-1 [1003 kB] Get:23 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-nvtx-10-0 10.0.130-1 [38.9 kB] Get:24 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-command-line-tools-10-0 10.0.130-1 [26.9 kB] Get:25 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-nsight-10-0 10.0.130-1 [2590 B] Get:26 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-nvvp-10-0 10.0.130-1 [2536 B] Get:27 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-nvrtc-10-0 10.0.130-1 [5925 kB] Get:28 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 default-jre-headless amd64 2:1.10-63ubuntu1~02 [3412 B] Get:29 http://cn.archive.ubuntu.com/ubuntu bionic-updates/main amd64 ca-certificates-java all 20180516ubuntu1~18.04.1 [12.2 kB] Get:30 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libgif7 amd64 5.1.4-2 [30.6 kB] Get:31 http://cn.archive.ubuntu.com/ubuntu bionic-updates/main amd64 openjdk-11-jre amd64 10.0.2+13-1ubuntu0.18.04.4 [53.1 kB] Get:32 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 default-jre amd64 2:1.10-63ubuntu1~02 [1092 B] Get:33 http://cn.archive.ubuntu.com/ubuntu bionic/universe amd64 freeglut3 amd64 2.8.1-3 [73.6 kB] Get:34 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 xorg-sgml-doctools all 1:1.11-1 [12.9 kB] Get:35 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 x11proto-dev all 2018.4-4 [251 kB] Get:36 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-nvrtc-dev-10-0 10.0.130-1 [9344 B] Get:37 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 cuda-cusolver-10-0 10.0.130-1 [38.4 MB] Get:38 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 x11proto-core-dev all 2018.4-4 [2620 B] Get:39 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libxau-dev amd64 1:1.0.8-1 [11.1 kB] Get:40 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libxdmcp-dev amd64 1:1.1.2-3 [25.1 kB] Get:41 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 x11proto-input-dev all 2018.4-4 [2620 B] Get:42 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http://cn.archive.ubuntu.com/ubuntu bionic-updates/main amd64 libglvnd-dev amd64 1.0.0-2ubuntu2.2 [3408 B] Get:52 http://cn.archive.ubuntu.com/ubuntu bionic-updates/main amd64 libx11-xcb-dev amd64 2:1.6.4-3ubuntu0.1 [9764 B] Get:53 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libxcb-dri3-dev amd64 1.13-1 [7368 B] Get:54 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libxcb-render0-dev amd64 1.13-1 [18.4 kB] Get:55 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libxcb-randr0-dev amd64 1.13-1 [20.4 kB] Get:56 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libxcb-shape0-dev amd64 1.13-1 [7144 B] Get:57 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libxcb-xfixes0-dev amd64 1.13-1 [11.7 kB] Get:58 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libxcb-sync-dev amd64 1.13-1 [10.6 kB] Get:59 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 libxcb-present-dev amd64 1.13-1 [6968 B] Get:60 http://cn.archive.ubuntu.com/ubuntu bionic/main amd64 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Preparing to unpack .../144-libatk-wrapper-java-jni_0.33.3-20ubuntu0.1_amd64.deb ... Unpacking libatk-wrapper-java-jni:amd64 (0.33.3-20ubuntu0.1) ... Selecting previously unselected package libx11-doc. Preparing to unpack .../145-libx11-doc_2%3a1.6.4-3ubuntu0.1_all.deb ... Unpacking libx11-doc (2:1.6.4-3ubuntu0.1) ... Selecting previously unselected package nvidia-prime. Preparing to unpack .../146-nvidia-prime_0.8.8.2_all.deb ... Unpacking nvidia-prime (0.8.8.2) ... Setting up libglvnd0:amd64 (1.0.0-2ubuntu2.2) ... Setting up libopengl0:amd64 (1.0.0-2ubuntu2.2) ... Setting up freeglut3:amd64 (2.8.1-3) ... Setting up libnvidia-cfg1-410:amd64 (410.72-0ubuntu1) ... Setting up libgles1:amd64 (1.0.0-2ubuntu2.2) ... Setting up nvidia-prime (0.8.8.2) ... Processing triggers for mime-support (3.60ubuntu1) ... Setting up libxshmfence-dev:amd64 (1.3-1) ... Processing triggers for desktop-file-utils (0.23-1ubuntu3.18.04.1) ... Setting up libpthread-stubs0-dev:amd64 (0.3-4) ... Setting up libdrm-dev:amd64 (2.4.91-2) ... Setting up xorg-sgml-doctools (1:1.11-1) ... Setting up java-common (0.63ubuntu1~02) ... Setting up libdpkg-perl (1.19.0.5ubuntu2.1) ... Setting up libgif7:amd64 (5.1.4-2) ... Setting up nvidia-kernel-source-410 (410.72-0ubuntu1) ... Setting up x11proto-dev (2018.4-4) ... Setting up libstdc++-7-dev:amd64 (7.3.0-27ubuntu1~18.04) ... Setting up libegl1:amd64 (1.0.0-2ubuntu2.2) ... Setting up x11proto-damage-dev (1:2018.4-4) ... Setting up xtrans-dev (1.3.5-1) ... Setting up dpkg-dev (1.19.0.5ubuntu2.1) ... Setting up x11proto-xext-dev (2018.4-4) ... Setting up dkms (2.3-3ubuntu9.2) ... Setting up libxdmcp-dev:amd64 (1:1.1.2-3) ... Processing triggers for libc-bin (2.27-3ubuntu1) ... Setting up libnvidia-common-410 (410.72-0ubuntu1) ... Setting up libice-dev:amd64 (2:1.0.9-2) ... Setting up libfakeroot:amd64 (1.22-2ubuntu1) ... Setting up screen-resolution-extra (0.17.3) ... Setting up x11proto-gl-dev (2018.4-4) ... Setting up nvidia-modprobe (410.72-0ubuntu1) ... Setting up xserver-xorg-video-nvidia-410 (410.72-0ubuntu1) ... Setting up cuda-license-10-0 (10.0.130-1) ... *** LICENSE AGREEMENT *** By using this software you agree to fully comply with the terms and conditions of the EULA (End User License Agreement). The EULA is located at /usr/local/cuda-10.0/doc/EULA.txt. The EULA can also be found at http://docs.nvidia.com/cuda/eula/index.html. If you do not agree to the terms and conditions of the EULA, do not use the software. Setting up libalgorithm-diff-perl (1.19.03-1) ... Setting up libx11-doc (2:1.6.4-3ubuntu0.1) ... Setting up libgles2:amd64 (1.0.0-2ubuntu2.2) ... Processing triggers for man-db (2.8.3-2) ... Setting up nvidia-kernel-common-410 (410.72-0ubuntu1) ... update-initramfs: deferring update (trigger activated) Created symlink /etc/systemd/system/multi-user.target.wants/nvidia-fallback.service → /lib/systemd/system/nvidia-fallback.service. Processing triggers for gnome-menus (3.13.3-11ubuntu1) ... Setting up cuda-nvdisasm-10-0 (10.0.130-1) ... Setting up cuda-nvml-dev-10-0 (10.0.130-1) ... Processing triggers for dbus (1.12.2-1ubuntu1) ... Setting up fonts-dejavu-extra (2.37-1) ... Setting up cuda-nvprof-10-0 (10.0.130-1) ... Setting up libnvidia-compute-410:amd64 (410.72-0ubuntu1) ... Processing triggers for ca-certificates (20180409) ... Updating certificates in /etc/ssl/certs... 0 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. Setting up libatk-wrapper-java (0.33.3-20ubuntu0.1) ... Setting up cuda-nvrtc-10-0 (10.0.130-1) ... Setting up libglx0:amd64 (1.0.0-2ubuntu2.2) ... Processing triggers for hicolor-icon-theme (0.17-2) ... Setting up cuda-nvtx-10-0 (10.0.130-1) ... Setting up libglvnd-core-dev:amd64 (1.0.0-2ubuntu2.2) ... Setting up x11proto-input-dev (2018.4-4) ... Setting up libxnvctrl0:amd64 (410.72-0ubuntu1) ... Processing triggers for fontconfig (2.12.6-0ubuntu2) ... Setting up cuda-nvgraph-10-0 (10.0.130-1) ... Setting up x11proto-dri2-dev (2018.4-4) ... Setting up cuda-nvprune-10-0 (10.0.130-1) ... Setting up nvidia-compute-utils-410 (410.72-0ubuntu1) ... Warning: The home dir /nonexistent you specified can't be accessed: No such file or directory Adding system user `nvidia-persistenced' (UID 123) ... Adding new group `nvidia-persistenced' (GID 127) ... Adding new user `nvidia-persistenced' (UID 123) with group `nvidia-persistenced' ... Not creating home directory `/nonexistent'. Setting up libsm-dev:amd64 (2:1.2.2-1) ... Setting up x11proto-core-dev (2018.4-4) ... Setting up cuda-cusparse-10-0 (10.0.130-1) ... Setting up cuda-cuobjdump-10-0 (10.0.130-1) ... Setting up cuda-nvjpeg-10-0 (10.0.130-1) ... Setting up cuda-gdb-10-0 (10.0.130-1) ... Setting up g++-7 (7.3.0-27ubuntu1~18.04) ... Setting up cuda-nvjpeg-dev-10-0 (10.0.130-1) ... Setting up cuda-cufft-10-0 (10.0.130-1) ... Setting up cuda-nsight-compute-10-0 (10.0.130-1) ... Setting up cuda-cudart-10-0 (10.0.130-1) ... Setting up x11proto-fixes-dev (1:2018.4-4) ... Setting up cuda-npp-10-0 (10.0.130-1) ... Setting up cuda-cufft-dev-10-0 (10.0.130-1) ... Setting up x11proto-xf86vidmode-dev (2018.4-4) ... Setting up libxau-dev:amd64 (1:1.0.8-1) ... Setting up nvidia-dkms-410 (410.72-0ubuntu1) ... update-initramfs: deferring update (trigger activated) A modprobe blacklist file has been created at /etc/modprobe.d to prevent Nouveau from loading. This can be reverted by deleting the following file: /etc/modprobe.d/nvidia-graphics-drivers.conf A new initrd image has also been created. To revert, please regenerate your initrd by running the following command after deleting the modprobe.d file: `/usr/sbin/initramfs -u` ***************************************************************************** *** Reboot your computer and verify that the NVIDIA graphics driver can *** *** be loaded. *** ***************************************************************************** INFO:Enable nvidia DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/dell_latitude DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/lenovo_thinkpad DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/put_your_quirks_here locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory Loading new nvidia-410.72 DKMS files... Building for 4.15.0-42-generic Building for architecture x86_64 Building initial module for 4.15.0-42-generic Generating a 2048 bit RSA private key ................................................................................+++ ....................+++ writing new private key to '/var/lib/shim-signed/mok/MOK.priv' ----- Secure Boot not enabled on this system. Done. nvidia: Running module version sanity check. - Original module - No original module exists within this kernel - Installation - Installing to /lib/modules/4.15.0-42-generic/updates/dkms/ nvidia-modeset.ko: Running module version sanity check. - Original module - No original module exists within this kernel - Installation - Installing to /lib/modules/4.15.0-42-generic/updates/dkms/ nvidia-drm.ko: Running module version sanity check. - Original module - No original module exists within this kernel - Installation - Installing to /lib/modules/4.15.0-42-generic/updates/dkms/ nvidia-uvm.ko: Running module version sanity check. - Original module - No original module exists within this kernel - Installation - Installing to /lib/modules/4.15.0-42-generic/updates/dkms/ depmod... DKMS: install completed. Setting up fakeroot (1.22-2ubuntu1) ... update-alternatives: using /usr/bin/fakeroot-sysv to provide /usr/bin/fakeroot (fakeroot) in auto mode Setting up cuda-cusolver-10-0 (10.0.130-1) ... Setting up cuda-misc-headers-10-0 (10.0.130-1) ... Setting up cuda-curand-10-0 (10.0.130-1) ... Setting up libalgorithm-merge-perl (0.08-3) ... Setting up cuda-driver-dev-10-0 (10.0.130-1) ... Setting up pkg-config (0.29.1-0ubuntu2) ... Setting up cuda-gpu-library-advisor-10-0 (10.0.130-1) ... Setting up libatk-wrapper-java-jni:amd64 (0.33.3-20ubuntu0.1) ... Setting up libalgorithm-diff-xs-perl (0.04-5) ... Setting up cuda-cublas-10-0 (10.0.130-1) ... Setting up cuda-nvgraph-dev-10-0 (10.0.130-1) ... Setting up cuda-cudart-dev-10-0 (10.0.130-1) ... Setting up cuda-memcheck-10-0 (10.0.130-1) ... Setting up libnvidia-decode-410:amd64 (410.72-0ubuntu1) ... Setting up libgl1:amd64 (1.0.0-2ubuntu2.2) ... Setting up nvidia-utils-410 (410.72-0ubuntu1) ... Setting up cuda-nvrtc-dev-10-0 (10.0.130-1) ... Setting up libxcb1-dev:amd64 (1.13-1) ... Setting up libxcb-glx0-dev:amd64 (1.13-1) ... Setting up g++ (4:7.3.0-3ubuntu2.1) ... update-alternatives: using /usr/bin/g++ to provide /usr/bin/c++ (c++) in auto mode Setting up cuda-npp-dev-10-0 (10.0.130-1) ... Setting up libx11-dev:amd64 (2:1.6.4-3ubuntu0.1) ... Setting up libxxf86vm-dev:amd64 (1:1.1.4-1) ... Setting up libxfixes-dev:amd64 (1:5.0.3-1) ... Setting up cuda-curand-dev-10-0 (10.0.130-1) ... Setting up libxcb-sync-dev:amd64 (1.13-1) ... Setting up cuda-cusparse-dev-10-0 (10.0.130-1) ... Setting up cuda-cusolver-dev-10-0 (10.0.130-1) ... Setting up libnvidia-gl-410:amd64 (410.72-0ubuntu1) ... Setting up libx11-xcb-dev:amd64 (2:1.6.4-3ubuntu0.1) ... Setting up cuda-cublas-dev-10-0 (10.0.130-1) ... Setting up libxt-dev:amd64 (1:1.1.5-1) ... Setting up cuda-libraries-dev-10-0 (10.0.130-1) ... Setting up mesa-common-dev:amd64 (18.0.5-0ubuntu0~18.04.1) ... Setting up build-essential (12.4ubuntu1) ... Setting up libnvidia-ifr1-410:amd64 (410.72-0ubuntu1) ... Setting up libxmu-headers (2:1.1.2-2) ... Setting up libxdamage-dev:amd64 (1:1.1.4-3) ... Setting up libnvidia-fbc1-410:amd64 (410.72-0ubuntu1) ... Setting up libnvidia-encode-410:amd64 (410.72-0ubuntu1) ... Setting up cuda-libraries-10-0 (10.0.130-1) ... Setting up libglvnd-dev:amd64 (1.0.0-2ubuntu2.2) ... Setting up nvidia-settings (410.72-0ubuntu1) ... Setting up libxcb-dri2-0-dev:amd64 (1.13-1) ... Setting up libxcb-render0-dev:amd64 (1.13-1) ... Setting up libxcb-dri3-dev:amd64 (1.13-1) ... Setting up libxext-dev:amd64 (2:1.3.3-1) ... Setting up libxcb-shape0-dev:amd64 (1.13-1) ... Setting up nvidia-driver-410 (410.72-0ubuntu1) ... Setting up libxi-dev:amd64 (2:1.7.9-1) ... Setting up cuda-nvcc-10-0 (10.0.130-1) ... Setting up libxcb-randr0-dev:amd64 (1.13-1) ... Setting up libxmu-dev:amd64 (2:1.1.2-2) ... Setting up libxcb-xfixes0-dev:amd64 (1.13-1) ... Setting up cuda-cupti-10-0 (10.0.130-1) ... Setting up cuda-command-line-tools-10-0 (10.0.130-1) ... Setting up cuda-drivers (410.72-1) ... Setting up libxcb-present-dev:amd64 (1.13-1) ... Setting up cuda-compiler-10-0 (10.0.130-1) ... Setting up cuda-runtime-10-0 (10.0.130-1) ... Setting up cuda-demo-suite-10-0 (10.0.130-1) ... Setting up libgl1-mesa-dev:amd64 (18.0.5-0ubuntu0~18.04.1) ... Setting up libglu1-mesa-dev:amd64 (9.0.0-2.1build1) ... Setting up freeglut3-dev:amd64 (2.8.1-3) ... Setting up cuda-samples-10-0 (10.0.130-1) ... Setting up cuda-documentation-10-0 (10.0.130-1) ... Setting up openjdk-11-jre-headless:amd64 (10.0.2+13-1ubuntu0.18.04.4) ... update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/rmid to provide /usr/bin/rmid (rmid) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/java to provide /usr/bin/java (java) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/keytool to provide /usr/bin/keytool (keytool) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/jjs to provide /usr/bin/jjs (jjs) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/pack200 to provide /usr/bin/pack200 (pack200) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/rmiregistry to provide /usr/bin/rmiregistry (rmiregistry) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/unpack200 to provide /usr/bin/unpack200 (unpack200) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/orbd to provide /usr/bin/orbd (orbd) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/servertool to provide /usr/bin/servertool (servertool) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/tnameserv to provide /usr/bin/tnameserv (tnameserv) in auto mode update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/lib/jexec to provide /usr/bin/jexec (jexec) in auto mode Setting up default-jre-headless (2:1.10-63ubuntu1~02) ... Setting up openjdk-11-jre:amd64 (10.0.2+13-1ubuntu0.18.04.4) ... Setting up ca-certificates-java (20180516ubuntu1~18.04.1) ... head: cannot open '/etc/ssl/certs/java/cacerts' for reading: No such file or directory Adding debian:ACCVRAIZ1.pem Adding debian:AC_RAIZ_FNMT-RCM.pem Adding debian:Actalis_Authentication_Root_CA.pem Adding debian:AddTrust_External_Root.pem Adding debian:AffirmTrust_Commercial.pem Adding debian:AffirmTrust_Networking.pem Adding debian:AffirmTrust_Premium.pem Adding debian:AffirmTrust_Premium_ECC.pem Adding debian:Amazon_Root_CA_1.pem Adding debian:Amazon_Root_CA_2.pem Adding debian:Amazon_Root_CA_3.pem Adding debian:Amazon_Root_CA_4.pem Adding debian:Atos_TrustedRoot_2011.pem Adding debian:Autoridad_de_Certificacion_Firmaprofesional_CIF_A62634068.pem Adding debian:Baltimore_CyberTrust_Root.pem Adding debian:Buypass_Class_2_Root_CA.pem Adding debian:Buypass_Class_3_Root_CA.pem Adding debian:CA_Disig_Root_R2.pem Adding debian:CFCA_EV_ROOT.pem Adding debian:COMODO_Certification_Authority.pem Adding debian:COMODO_ECC_Certification_Authority.pem Adding debian:COMODO_RSA_Certification_Authority.pem Adding debian:Certigna.pem Adding debian:Certinomis_-_Root_CA.pem Adding debian:Certplus_Class_2_Primary_CA.pem Adding debian:Certplus_Root_CA_G1.pem Adding debian:Certplus_Root_CA_G2.pem Adding debian:Certum_Trusted_Network_CA.pem Adding debian:Certum_Trusted_Network_CA_2.pem Adding debian:Chambers_of_Commerce_Root_-_2008.pem Adding debian:Comodo_AAA_Services_root.pem Adding debian:Cybertrust_Global_Root.pem Adding debian:D-TRUST_Root_Class_3_CA_2_2009.pem Adding debian:D-TRUST_Root_Class_3_CA_2_EV_2009.pem Adding debian:DST_Root_CA_X3.pem Adding debian:Deutsche_Telekom_Root_CA_2.pem Adding debian:DigiCert_Assured_ID_Root_CA.pem Adding debian:DigiCert_Assured_ID_Root_G2.pem Adding debian:DigiCert_Assured_ID_Root_G3.pem Adding debian:DigiCert_Global_Root_CA.pem Adding debian:DigiCert_Global_Root_G2.pem Adding debian:DigiCert_Global_Root_G3.pem Adding debian:DigiCert_High_Assurance_EV_Root_CA.pem Adding debian:DigiCert_Trusted_Root_G4.pem Adding debian:E-Tugra_Certification_Authority.pem Adding debian:EC-ACC.pem Adding debian:EE_Certification_Centre_Root_CA.pem Adding debian:Entrust.net_Premium_2048_Secure_Server_CA.pem Adding debian:Entrust_Root_Certification_Authority.pem Adding debian:Entrust_Root_Certification_Authority_-_EC1.pem Adding debian:Entrust_Root_Certification_Authority_-_G2.pem Adding debian:GDCA_TrustAUTH_R5_ROOT.pem Adding debian:GeoTrust_Global_CA.pem Adding debian:GeoTrust_Primary_Certification_Authority.pem Adding debian:GeoTrust_Primary_Certification_Authority_-_G2.pem Adding debian:GeoTrust_Primary_Certification_Authority_-_G3.pem Adding debian:GeoTrust_Universal_CA.pem Adding debian:GeoTrust_Universal_CA_2.pem Adding debian:GlobalSign_ECC_Root_CA_-_R4.pem Adding debian:GlobalSign_ECC_Root_CA_-_R5.pem Adding debian:GlobalSign_Root_CA.pem Adding debian:GlobalSign_Root_CA_-_R2.pem Adding debian:GlobalSign_Root_CA_-_R3.pem Adding debian:Global_Chambersign_Root_-_2008.pem Adding debian:Go_Daddy_Class_2_CA.pem Adding debian:Go_Daddy_Root_Certificate_Authority_-_G2.pem Adding debian:Hellenic_Academic_and_Research_Institutions_ECC_RootCA_2015.pem Adding debian:Hellenic_Academic_and_Research_Institutions_RootCA_2011.pem Adding debian:Hellenic_Academic_and_Research_Institutions_RootCA_2015.pem Adding debian:Hongkong_Post_Root_CA_1.pem Adding debian:ISRG_Root_X1.pem Adding debian:IdenTrust_Commercial_Root_CA_1.pem Adding debian:IdenTrust_Public_Sector_Root_CA_1.pem Adding debian:Izenpe.com.pem Adding debian:LuxTrust_Global_Root_2.pem Adding debian:Microsec_e-Szigno_Root_CA_2009.pem Adding debian:NetLock_Arany_=Class_Gold=_Főtanúsítvány.pem Adding debian:Network_Solutions_Certificate_Authority.pem Adding debian:OISTE_WISeKey_Global_Root_GA_CA.pem Adding debian:OISTE_WISeKey_Global_Root_GB_CA.pem Adding debian:OpenTrust_Root_CA_G1.pem Adding debian:OpenTrust_Root_CA_G2.pem Adding debian:OpenTrust_Root_CA_G3.pem Adding debian:QuoVadis_Root_CA.pem Adding debian:QuoVadis_Root_CA_1_G3.pem Adding debian:QuoVadis_Root_CA_2.pem Adding debian:QuoVadis_Root_CA_2_G3.pem Adding debian:QuoVadis_Root_CA_3.pem Adding debian:QuoVadis_Root_CA_3_G3.pem Adding debian:SSL.com_EV_Root_Certification_Authority_ECC.pem Adding debian:SSL.com_EV_Root_Certification_Authority_RSA_R2.pem Adding debian:SSL.com_Root_Certification_Authority_ECC.pem Adding debian:SSL.com_Root_Certification_Authority_RSA.pem Adding debian:SZAFIR_ROOT_CA2.pem Adding debian:SecureSign_RootCA11.pem Adding debian:SecureTrust_CA.pem Adding debian:Secure_Global_CA.pem Adding debian:Security_Communication_RootCA2.pem Adding debian:Security_Communication_Root_CA.pem Adding debian:Sonera_Class_2_Root_CA.pem Adding debian:Staat_der_Nederlanden_EV_Root_CA.pem Adding debian:Staat_der_Nederlanden_Root_CA_-_G2.pem Adding debian:Staat_der_Nederlanden_Root_CA_-_G3.pem Adding debian:Starfield_Class_2_CA.pem Adding debian:Starfield_Root_Certificate_Authority_-_G2.pem Adding debian:Starfield_Services_Root_Certificate_Authority_-_G2.pem Adding debian:SwissSign_Gold_CA_-_G2.pem Adding debian:SwissSign_Silver_CA_-_G2.pem Adding debian:T-TeleSec_GlobalRoot_Class_2.pem Adding debian:T-TeleSec_GlobalRoot_Class_3.pem Adding debian:TUBITAK_Kamu_SM_SSL_Kok_Sertifikasi_-_Surum_1.pem Adding debian:TWCA_Global_Root_CA.pem Adding debian:TWCA_Root_Certification_Authority.pem Adding debian:Taiwan_GRCA.pem Adding debian:TeliaSonera_Root_CA_v1.pem Adding debian:TrustCor_ECA-1.pem Adding debian:TrustCor_RootCert_CA-1.pem Adding debian:TrustCor_RootCert_CA-2.pem Adding debian:Trustis_FPS_Root_CA.pem Adding debian:TÜRKTRUST_Elektronik_Sertifika_Hizmet_Sağlayıcısı_H5.pem Adding debian:USERTrust_ECC_Certification_Authority.pem Adding debian:USERTrust_RSA_Certification_Authority.pem Adding debian:VeriSign_Class_3_Public_Primary_Certification_Authority_-_G4.pem Adding debian:VeriSign_Class_3_Public_Primary_Certification_Authority_-_G5.pem Adding debian:VeriSign_Universal_Root_Certification_Authority.pem Adding debian:Verisign_Class_3_Public_Primary_Certification_Authority_-_G3.pem Adding debian:Visa_eCommerce_Root.pem Adding debian:XRamp_Global_CA_Root.pem Adding debian:certSIGN_ROOT_CA.pem Adding debian:ePKI_Root_Certification_Authority.pem Adding debian:thawte_Primary_Root_CA.pem Adding debian:thawte_Primary_Root_CA_-_G2.pem Adding debian:thawte_Primary_Root_CA_-_G3.pem Adding debian:ssl-cert-snakeoil.pem done. Setting up default-jre (2:1.10-63ubuntu1~02) ... Setting up cuda-nvvp-10-0 (10.0.130-1) ... Setting up cuda-nsight-10-0 (10.0.130-1) ... Setting up cuda-visual-tools-10-0 (10.0.130-1) ... Setting up cuda-tools-10-0 (10.0.130-1) ... Setting up cuda-toolkit-10-0 (10.0.130-1) ... Setting up cuda-10-0 (10.0.130-1) ... Setting up cuda (10.0.130-1) ... Processing triggers for libc-bin (2.27-3ubuntu1) ... Processing triggers for initramfs-tools (0.130ubuntu3.1) ... update-initramfs: Generating /boot/initrd.img-4.15.0-42-generic Processing triggers for ca-certificates (20180409) ... Updating certificates in /etc/ssl/certs... 0 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. done.
apt-get install cuda
Reading package lists... Done
Building dependency tree
Reading state information... Done
cuda is already the newest version (10.0.130-1).
0 upgraded, 0 newly installed, 0 to remove and 185 not upgraded.
cuda安装成功，看到一个报警信息，有点担心
```
WARNING: Your driver installation has been altered since it was initially installed; this may happen, for example, if you have since installed the NVIDIA driver through a
mechanism other than nvidia-installer (such as your distribution's native package management system). nvidia-installer will attempt to uninstall as best it can. Please
see the file '/var/log/nvidia-uninstall.log' for details.
```
果然cuda安装好了，但驱动出问题了
nvidia-smi
Failed to initialize NVML: Driver/library version mismatch
重启，还是不行
又试了一些办法，不行，转念一想，再重新安装驱动不就好了
sudo sh NVIDIA-Linux-x86_64-390.87.run
```
NVIDIA Accelerated Graphics Driver for Linux-x86_64 (390.87)
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.
Please review the message provided by the maintainer of this alternate installation method and decide how to proceed:
Continue installation Abort installation
The package that is already installed is named nvidia-410-410.
You can upgrade the driver by running:
`apt-get install nvidia-410-410`
You can remove nvidia-410-410, and all related packages, by running:
`apt-get remove --purge nvidia-410`
`apt-get autoremove`
This package is maintained by NVIDIA (cudatools@nvidia.com).
````
提示和之前安装时不一样
试了试 apt-get install nvidia-410-410
没反应
apt-get install nvidia-410-410
Reading package lists... Done
Building dependency tree
Reading state information... Done
E: Unable to locate package nvidia-410-410
按提示又把驱动重新装了一遍，驱动就ok了，暂时还不确定有没有别的隐患
https://www.nvidia.cn/object/unix-cn.html
驱动包是390.87 安装完cuda成了 410.78
nvidia-smi
Mon Dec 10 18:10:21 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.87 Driver Version: 390.87 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 NVS 315 Off | 00000000:03:00.0 N/A | N/A |
| 30% 44C P0 N/A / N/A | 0MiB / 956MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
sudo dpkg --list | grep nvidia-*
ii libnvidia-cfg1-410:amd64 410.72-0ubuntu1 amd64 NVIDIA binary OpenGL/GLX configuration library
ii libnvidia-common-410 410.72-0ubuntu1 all Shared files used by the NVIDIA libraries
ii libnvidia-compute-410:amd64 410.72-0ubuntu1 amd64 NVIDIA libcompute package
ii libnvidia-container-tools 1.0.0-1 amd64 NVIDIA container runtime library (command-line tools)
ii libnvidia-container1:amd64 1.0.0-1 amd64 NVIDIA container runtime library
ii libnvidia-decode-410:amd64 410.72-0ubuntu1 amd64 NVIDIA Video Decoding runtime libraries
ii libnvidia-encode-410:amd64 410.72-0ubuntu1 amd64 NVENC Video Encoding runtime library
ii libnvidia-fbc1-410:amd64 410.72-0ubuntu1 amd64 NVIDIA OpenGL-based Framebuffer Capture runtime library
ii libnvidia-gl-410:amd64 410.72-0ubuntu1 amd64 NVIDIA OpenGL/GLX/EGL/GLES GLVND libraries and Vulkan ICD
ii libnvidia-ifr1-410:amd64 410.72-0ubuntu1 amd64 NVIDIA OpenGL-based Inband Frame Readback runtime library
ii nvidia-compute-utils-410 410.72-0ubuntu1 amd64 NVIDIA compute utilities
ii nvidia-container-runtime 2.0.0+docker18.09.0-1 amd64 NVIDIA container runtime
ii nvidia-container-runtime-hook 1.4.0-1 amd64 NVIDIA container runtime hook
ii nvidia-dkms-410 410.72-0ubuntu1 amd64 NVIDIA DKMS package
ii nvidia-docker2 2.0.3+docker18.09.0-1 all nvidia-docker CLI wrapper
ii nvidia-driver-410 410.72-0ubuntu1 amd64 NVIDIA driver metapackage
ii nvidia-kernel-common-410 410.72-0ubuntu1 amd64 Shared files used with the kernel module
ii nvidia-kernel-source-410 410.72-0ubuntu1 amd64 NVIDIA kernel source package
ii nvidia-modprobe 410.72-0ubuntu1 amd64 Load the NVIDIA kernel driver and create device files
ii nvidia-prime 0.8.8.2 all Tools to enable NVIDIA's Prime
ii nvidia-settings 410.72-0ubuntu1 amd64 Tool for configuring the NVIDIA graphics driver
ii nvidia-utils-410 410.72-0ubuntu1 amd64 NVIDIA driver support binaries
ii xserver-xorg-video-nvidia-410 410.72-0ubuntu1 amd64 NVIDIA binary Xorg driver
来试试tf
https://www.tensorflow.org/install/docker
docker images
tensorflow/tensorflow latest-gpu-py3 413b9533f92a 4 weeks ago 3.35GB
tensorflow/tensorflow latest-gpu 58a8e83b7dbf 4 weeks ago 3.36GB
docker run -d --name tf --network host tensorflow/tensorflow:latest-gpu-py3 tail -f /dev/null
docker exec -it tf bash
python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
悲剧
```
root@social-ubuntu:/notebooks# python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/usr/local/lib/python3.5/dist-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
```
试试
social@social-ubuntu:~$ nvidia-docker run -d --name tf --network host tensorflow/tensorflow:latest-gpu-py3 tail -f /dev/null
fea5d3f35ef0e78a0b12e632cf01c7715b4ecbaaa9e41c17670cb1e0622e9456
docker: Error response from daemon: OCI runtime create failed: container_linux.go:348: starting container process caused "process_linux.go:402: container init caused \"process_linux.go:385: running prestart hook 0 caused \\\"error running hook: exit status 1, stdout: , stderr: exec command: [/usr/bin/nvidia-container-cli --load-kmods configure --ldconfig=@/sbin/ldconfig.real --device=all --compute --utility --require=cuda>=9.0 --pid=19947 /var/lib/docker/overlay2/42911504b76163ad4e55fc14c80468e03520225541b54a85260044a80d437007/merged]\\\\nnvidia-container-cli: mount error: mount operation failed: /var/lib/docker/overlay2/42911504b76163ad4e55fc14c80468e03520225541b54a85260044a80d437007/merged/proc/driver/nvidia/params/version/registry: no such file or directory\\\\n\\\"\"": unknown.
发现提示
https://www.tensorflow.org/install/docker
Note: nvidia-docker v1 uses the nvidia-docker alias, where v2 uses docker --runtime=nvidia.
nvidia-docker version
NVIDIA Docker: 2.0.3
Client:
Version: 18.09.0
API version: 1.39
Go version: go1.10.4
Git commit: 4d60db4
Built: Wed Nov 7 00:49:01 2018
OS/Arch: linux/amd64
Experimental: false
Server: Docker Engine - Community
Engine:
Version: 18.09.0
API version: 1.39 (minimum version 1.12)
Go version: go1.10.4
Git commit: 4d60db4
Built: Wed Nov 7 00:16:44 2018
OS/Arch: linux/amd64
Experimental: false
NVIDIA Docker: 2.0.3
docker run --runtime=nvidia -d --name tf --network host tensorflow/tensorflow:latest-gpu-py3 tail -f /dev/null
social@social-ubuntu:~$ docker run --runtime=nvidia -d --name tf --network host tensorflow/tensorflow:latest-gpu-py3 tail -f /dev/null
8a20529be6e7e20c01288cc1ed6fafe233969ef61cb76a421fa29176d518b11c
docker: Error response from daemon: OCI runtime create failed: container_linux.go:348: starting container process caused "process_linux.go:402: container init caused \"process_linux.go:385: running prestart hook 0 caused \\\"error running hook: exit status 1, stdout: , stderr: exec command: [/usr/bin/nvidia-container-cli --load-kmods configure --ldconfig=@/sbin/ldconfig.real --device=all --compute --utility --require=cuda>=9.0 --pid=30024 /var/lib/docker/overlay2/c59d9603e5e78e1fe64f5784d201b3fc558045b31cfdc98d0405117efaacd76a/merged]\\\\nnvidia-container-cli: mount error: mount operation failed: /var/lib/docker/overlay2/c59d9603e5e78e1fe64f5784d201b3fc558045b31cfdc98d0405117efaacd76a/merged/proc/driver/nvidia/params/version/registry: no such file or directory\\\\n\\\"\"": unknown.
还是不行
试着重启systemctl restart docker
问题依旧，直觉可能是nvidia-docker的问题
docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi
同样报错，之前的操作是成功了的，果然是nvidia-docker的问题
忽然想起一点，我是先装的nvidia-docker 后装的cuda 又因为驱动异常，重装了驱动，会不会是这个原因?
重装nvidia-docker试试
apt-get remove nvidia-docker2
apt-get install nvidia-docker2
docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi
成功
docker run --runtime=nvidia -d --name tf --network host tensorflow/tensorflow:latest-gpu-py3 tail -f /dev/null
0f320d9be09d0678f224ecbf9b2b396763477bd1187455feec690f5bdafe6016
docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
0f320d9be09d tensorflow/tensorflow:latest-gpu-py3 "tail -f /dev/null" 16 seconds ago Up 13 seconds tf
成功
docker exec -it tf bash
python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
root@social-ubuntu:/notebooks# python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
2018-12-10 10:58:11.922409: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-12-10 10:58:12.162344: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:
name: NVS 315 major: 2 minor: 1 memoryClockRate(GHz): 1.046
pciBusID: 0000:03:00.0
totalMemory: 956.19MiB freeMemory: 876.19MiB
2018-12-10 10:58:12.162384: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1482] Ignoring visible gpu device (device: 0, name: NVS 315, pci bus id: 0000:03:00.0, compute capability: 2.1) with Cuda compute capability 2.1. The minimum required Cuda capability is 3.5.
2018-12-10 10:58:12.162399: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-12-10 10:58:12.162414: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0
2018-12-10 10:58:12.162432: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N
tf.Tensor(926.7046, shape=(), dtype=float32)
root@social-ubuntu:/notebooks#
Ignoring visible gpu device (device: 0, name: NVS 315, pci bus id: 0000:03:00.0, compute capability: 2.1) with Cuda compute capability 2.1. The minimum required Cuda capability is 3.5.
因为计算能力不够，现gpu 2.1，cuda最小需求3.5，gpu被ignore了
不过看这样子，gpu驱动和cuda,nvidia是ok了
安装建议是
ssd、docker、driver、cuda、nvidia-docker
...
——————————
发现新问题
再启动docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi 又报错了
直觉可能还是nvidia-docker的问题
尝试
docker stop tf
docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi 则又ok
原来之前搞错了，nvidia-docker启动容器异常，也许不是安装cuda顺序的问题，而是nvidia-docker容器只能有一个能正常
如果已经执行了一个nvidia-docker容器 那么再启动新的nvidia-docker都会失败
若先stop原来的nvidia-docker，再启动新的nvidia-docker，则新容器正常
这个问题也先记下，看有没有办法解除只有单容器正常的限制
FIN
