docker version
Client:
Version: 19.03.6
API version: 1.40
Go version: go1.12.17
Git commit: 369ce74a3c
Built: Fri Dec 18 12:21:44 2020
OS/Arch: linux/amd64
Experimental: false
Server:
Engine:
Version: 19.03.6
API version: 1.40 (minimum version 1.12)
Go version: go1.12.17
Git commit: 369ce74a3c
Built: Thu Dec 10 13:23:49 2020
OS/Arch: linux/amd64
Experimental: false
containerd:
Version: 1.3.3-0ubuntu1~18.04.4
GitCommit:
nvidia:
Version: spec: 1.0.1-dev
GitCommit:
docker-init:
Version: 0.18.0
GitCommit:
dpkg -l|grep nvidia
ii libnvidia-cfg1-460-server:amd64 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA binary OpenGL/GLX configuration library
ii libnvidia-common-460-server 460.32.03-0ubuntu0.18.04.1 all Shared files used by the NVIDIA libraries
ii libnvidia-compute-460-server:amd64 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA libcompute package
ii libnvidia-compute-460-server:i386 460.32.03-0ubuntu0.18.04.1 i386 NVIDIA libcompute package
ii libnvidia-container-tools 1.3.3-1 amd64 NVIDIA container runtime library (command-line tools)
ii libnvidia-container1:amd64 1.3.3-1 amd64 NVIDIA container runtime library
ii libnvidia-decode-460-server:amd64 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA Video Decoding runtime libraries
ii libnvidia-decode-460-server:i386 460.32.03-0ubuntu0.18.04.1 i386 NVIDIA Video Decoding runtime libraries
ii libnvidia-encode-460-server:amd64 460.32.03-0ubuntu0.18.04.1 amd64 NVENC Video Encoding runtime library
ii libnvidia-encode-460-server:i386 460.32.03-0ubuntu0.18.04.1 i386 NVENC Video Encoding runtime library
ii libnvidia-extra-460-server:amd64 460.32.03-0ubuntu0.18.04.1 amd64 Extra libraries for the NVIDIA Server Driver
ii libnvidia-fbc1-460-server:amd64 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA OpenGL-based Framebuffer Capture runtime library
ii libnvidia-fbc1-460-server:i386 460.32.03-0ubuntu0.18.04.1 i386 NVIDIA OpenGL-based Framebuffer Capture runtime library
ii libnvidia-gl-460-server:amd64 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA OpenGL/GLX/EGL/GLES GLVND libraries and Vulkan ICD
ii libnvidia-gl-460-server:i386 460.32.03-0ubuntu0.18.04.1 i386 NVIDIA OpenGL/GLX/EGL/GLES GLVND libraries and Vulkan ICD
ii libnvidia-ifr1-460-server:amd64 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA OpenGL-based Inband Frame Readback runtime library
ii libnvidia-ifr1-460-server:i386 460.32.03-0ubuntu0.18.04.1 i386 NVIDIA OpenGL-based Inband Frame Readback runtime library
ii nvidia-compute-utils-460-server 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA compute utilities
ii nvidia-container-runtime 3.4.2-1 amd64 NVIDIA container runtime
ii nvidia-container-toolkit 1.4.2-1 amd64 NVIDIA container runtime hook
ii nvidia-dkms-460-server 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA DKMS package
ii nvidia-driver-460-server 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA Server Driver metapackage
ii nvidia-kernel-common-460-server 460.32.03-0ubuntu0.18.04.1 amd64 Shared files used with the kernel module
ii nvidia-kernel-source-460-server 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA kernel source package
ii nvidia-prime 0.8.8.2 all Tools to enable NVIDIA's Prime
ii nvidia-settings 440.82-0ubuntu0.18.04.1 amd64 Tool for configuring the NVIDIA graphics driver
ii nvidia-utils-460-server 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA Server Driver support binaries
ii xserver-xorg-video-nvidia-460-server 460.32.03-0ubuntu0.18.04.1 amd64 NVIDIA binary Xorg driver
docker save
IMAGE ID方式,原先的TAG丢失。
docker save -o 90e973a21691.tar 90e973a21691
or
REPOSITORY、TAG方式,保留原先的TAG。
docker save -o autoware_1.14.0.tar autoware/autoware:1.14.0-melodic
docker load
docker load -i 90e973a21691.tar
88cc1a200eb9: Loading layer [==================================================>] 65.61MB/65.61MB
bf509d6bc5ec: Loading layer [==================================================>] 991.7kB/991.7kB
2af0e1f1e531: Loading layer [==================================================>] 15.87kB/15.87kB
4b07a7bca5b7: Loading layer [==================================================>] 3.072kB/3.072kB
5a750e3376fe: Loading layer [==================================================>] 4.38MB/4.38MB
68346153c42e: Loading layer [==================================================>] 11.42MB/11.42MB
9fe8cf3ab1db: Loading layer [==================================================>] 5.12kB/5.12kB
c31e061943cc: Loading layer [==================================================>] 3.584kB/3.584kB
9f1d4e489560: Loading layer [==================================================>] 823.9MB/823.9MB
5ee01c153875: Loading layer [==================================================>] 2.048kB/2.048kB
f3fed1ee92c8: Loading layer [==================================================>] 177.5MB/177.5MB
9c7cd3a1d32a: Loading layer [==================================================>] 842.2kB/842.2kB
d590f187d939: Loading layer [==================================================>] 242.9MB/242.9MB
a2064dd46653: Loading layer [==================================================>] 652.7MB/652.7MB
393a1e9118b8: Loading layer [==================================================>] 3.072kB/3.072kB
02700214dcca: Loading layer [==================================================>] 416.8kB/416.8kB
8e4c6c2e9999: Loading layer [==================================================>] 4.096kB/4.096kB
110a6010c70d: Loading layer [==================================================>] 5.12kB/5.12kB
ee8111498fc2: Loading layer [==================================================>] 1.44GB/1.44GB
7faabde75801: Loading layer [==================================================>] 1.777MB/1.777MB
fd4df95eff86: Loading layer [==================================================>] 7.168kB/7.168kB
1ed66645919f: Loading layer [==================================================>] 3.072kB/3.072kB
ac4f91d8f634: Loading layer [==================================================>] 108kB/108kB
6b687bfae6f7: Loading layer [==================================================>] 34.34MB/34.34MB
dbcec4f8f336: Loading layer [==================================================>] 820.7MB/820.7MB
f91b374a1ba7: Loading layer [==================================================>] 1.228GB/1.228GB
71bb72c1b1da: Loading layer [==================================================>] 1.277GB/1.277GB
441a381a6f9a: Loading layer [==================================================>] 48.98MB/48.98MB
342ae540f891: Loading layer [==================================================>] 101.4kB/101.4kB
f19e4835ae37: Loading layer [==================================================>] 99.22MB/99.22MB
ba2dd9c4c754: Loading layer [==================================================>] 4.096kB/4.096kB
477744e9eab2: Loading layer [==================================================>] 344.6kB/344.6kB
5c4276d6c0ac: Loading layer [==================================================>] 3.323GB/3.323GB
2eaa89cd6685: Loading layer [==================================================>] 6.656kB/6.656kB
45f4e2296c22: Loading layer [==================================================>] 1.515GB/1.515GB
7891e2e85e43: Loading layer [==================================================>] 1.777GB/1.777GB
Loaded image ID: sha256:90e973a21691e00cd29b614d99462f99e7e5e611dda3a84b53674cbf9c870830
dockerd --data-root
cd /home
sudo mkdir docker
docker info
systemctl disable docker
systemctl enable docker
sudo vi /lib/systemd/system/docker.service
ExecStart=/usr/bin/dockerd --data-root /home/docker
systemctl stop docker
systemctl start docker
本文内容由网友自发贡献,版权归原作者所有,本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容,请联系:hwhale#tublm.com(使用前将#替换为@)