docker使用
1.本机安装的容器
sudo docker ps -a
查看最新的创建的容器
sudo docker ps -l
2.本机上的镜像
sudo docker images
3.在docker hub 上搜索镜像
sudo docker search tensorflow
NAME DESCRIPTION STARS OFFICIAL AUTOMATED
tensorflow/tensorflow Official docker images for deep learning f... 506
xblaster/tensorflow-jupyter Dockerized Jupyter with tensorflow 39 [OK]
jupyter/tensorflow-notebook Jupyter Notebook Scientific Python Stack w... 18
romilly/rpi-docker-tensorflow Tensorflow and Jupyter running in docker c... 14
erroneousboat/tensorflow-python3-jupyter Docker container with python 3 version of ... 6 [OK]
satoshun/tensorflow-notebook Jupyter with Tensorflow 5 [OK]
floydhub/tensorflow tensorflow 3 [OK]
mochin/tensorflow-serving tensorflow-serving 3 [OK]
tensorflow/tf_grpc_server Server for TensorFlow GRPC Distributed Run... 3
eboraas/tensorflow TensorFlow with Jupyter Notebook, includin... 2 [OK]
hytssk/tensorflow tensorflow image with matplotlib.pyplot.im... 2 [OK]
tensorflow/tf_grpc_test_server Testing server for GRPC-based distributed ... 2
bitnami/tensorflow-serving Bitnami Docker Image for TensorFlow Serving 1 [OK]
djpetti/rpinets-tensorflow Tensorflow container that is ready to be u... 0 [OK]
opensciencegrid/tensorflow-gpu TensorFlow GPU set up for OSG 0
opensciencegrid/tensorflow TensorFlow image with some OSG additions 0
eywalker/tensorflow Docker image for TensorFlow ready environm... 0
eywalker/tensorflow-jupyter TensorFlow images designed to launch Jupyt... 0
sunkeun/tensorflow-aws-gpu Tensorflow AWS GPU 0 [OK]
fluxcapacitor/prediction-tensorflow 0
mediadesignpractices/tensorflow Tensorflow w/ CUDA (GPU) + extras 0 [OK]
abhishek404/tensorflow-gpu Tensorflow GPU image 0
lab41/tensorflow-notebook 0
davidchiu/tensorflow09 tensorflow09 with GPU support 0
alfpark/tensorflow TensorFlow 0
4.删除本机镜像先要删除容器，否则报错：
py@ubuntu:~$ sudo docker rmi 1815c82652c0
Error response from daemon: conflict: unable to delete 1815c82652c0 (must be forced) - image is being used by stopped container b766544e7942
正确的删除方法：
删除指定id的容器
py@ubuntu:~$ sudo docker rm b766544e7942
b766544e7942
删除指定id的镜像
py@ubuntu:~$ sudo docker rmi 1815c82652c0
Untagged: hello-world:latest
Untagged: hello-world@sha256:f3b3b28a45160805bb16542c9531888519430e9e6d6ffc09d72261b0d26ff74f
Deleted: sha256:1815c82652c03bfd8644afda26fb184f2ed891d921b20a0703b46768f9755c57
Deleted: sha256:45761469c965421a92a69cc50e92c01e0cfa94fe026cdd1233445ea00e96289a
5.查看本机的docker版本
py@ubuntu:~$ sudo docker version
Client:
Version: 17.06.1-ce
API version: 1.30
Go version: go1.8.3
Git commit: 874a737
Built: Thu Aug 17 22:51:12 2017
OS/Arch: linux/amd64
Server:
Version: 17.06.1-ce
API version: 1.30 (minimum version 1.12)
Go version: go1.8.3
Git commit: 874a737
Built: Thu Aug 17 22:50:04 2017
OS/Arch: linux/amd64
Experimental: false
6.查看更详细的关于某一个容器的信息,可以使用镜像id的前面部分，不需要完整的id。
sudo docker inspect （容器id）
py@ubuntu:~$ sudo docker inspect 35e1992cb249
[
{
"Id": "35e1992cb249375287ced2ac534c844b43dd7cf12548c567295abd4df424cc6d",
"Created": "2017-08-28T09:14:57.318799893Z",
"Path": "/bin/echo",
"Args": [
"Hello world"
],
"State": {
"Status": "exited",
"Running": false,
"Paused": false,
"Restarting": false,
"OOMKilled": false,
"Dead": false,
"Pid": 0,
"ExitCode": 0,
"Error": "",
"StartedAt": "2017-08-28T09:14:58.186476391Z",
"FinishedAt": "2017-08-28T09:14:58.257329481Z"
},
"Image": "sha256:ccc7a11d65b1b5874b65adb4b2387034582d08d65ac1817ebc5fb9be1baa5f88",
"ResolvConfPath": "/var/lib/docker/containers/35e1992cb249375287ced2ac534c844b43dd7cf12548c567295abd4df424cc6d/resolv.conf",
"HostnamePath": "/var/lib/docker/containers/35e1992cb249375287ced2ac534c844b43dd7cf12548c567295abd4df424cc6d/hostname",
"HostsPath": "/var/lib/docker/containers/35e1992cb249375287ced2ac534c844b43dd7cf12548c567295abd4df424cc6d/hosts",
"LogPath": "/var/lib/docker/containers/35e1992cb249375287ced2ac534c844b43dd7cf12548c567295abd4df424cc6d/35e1992cb249375287ced2ac534c844b43dd7cf12548c567295abd4df424cc6d-json.log",
"Name": "/confident_einstein",
"RestartCount": 0,
"Driver": "aufs",
"MountLabel": "",
"ProcessLabel": "",
"AppArmorProfile": "docker-default",
"ExecIDs": null,
"HostConfig": {
"Binds": null,
"ContainerIDFile": "",
"LogConfig": {
"Type": "json-file",
"Config": {}
},
"NetworkMode": "default",
"PortBindings": {},
"RestartPolicy": {
"Name": "no",
"MaximumRetryCount": 0
},
"AutoRemove": false,
"VolumeDriver": "",
"VolumesFrom": null,
"CapAdd": null,
"CapDrop": null,
"Dns": [],
"DnsOptions": [],
"DnsSearch": [],
"ExtraHosts": null,
"GroupAdd": null,
"IpcMode": "",
"Cgroup": "",
"Links": null,
"OomScoreAdj": 0,
"PidMode": "",
"Privileged": false,
"PublishAllPorts": false,
"ReadonlyRootfs": false,
"SecurityOpt": null,
"UTSMode": "",
"UsernsMode": "",
"ShmSize": 67108864,
"Runtime": "runc",
"ConsoleSize": [
0,
0
],
"Isolation": "",
"CpuShares": 0,
"Memory": 0,
"NanoCpus": 0,
"CgroupParent": "",
"BlkioWeight": 0,
"BlkioWeightDevice": null,
"BlkioDeviceReadBps": null,
"BlkioDeviceWriteBps": null,
"BlkioDeviceReadIOps": null,
"BlkioDeviceWriteIOps": null,
"CpuPeriod": 0,
"CpuQuota": 0,
"CpuRealtimePeriod": 0,
"CpuRealtimeRuntime": 0,
"CpusetCpus": "",
"CpusetMems": "",
"Devices": [],
"DeviceCgroupRules": null,
"DiskQuota": 0,
"KernelMemory": 0,
"MemoryReservation": 0,
"MemorySwap": 0,
"MemorySwappiness": -1,
"OomKillDisable": false,
"PidsLimit": 0,
"Ulimits": null,
"CpuCount": 0,
"CpuPercent": 0,
"IOMaximumIOps": 0,
"IOMaximumBandwidth": 0
},
"GraphDriver": {
"Data": null,
"Name": "aufs"
},
"Mounts": [],
"Config": {
"Hostname": "35e1992cb249",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": true,
"AttachStderr": true,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
],
"Cmd": [
"/bin/echo",
"Hello world"
],
"Image": "ubuntu",
"Volumes": null,
"WorkingDir": "",
"Entrypoint": null,
"OnBuild": null,
"Labels": {}
},
"NetworkSettings": {
"Bridge": "",
"SandboxID": "155fc18684c273b3daf6b7c708850aa11a1c4624d744521bb55720e881c8492a",
"HairpinMode": false,
"LinkLocalIPv6Address": "",
"LinkLocalIPv6PrefixLen": 0,
"Ports": {},
"SandboxKey": "/var/run/docker/netns/155fc18684c2",
"SecondaryIPAddresses": null,
"SecondaryIPv6Addresses": null,
"EndpointID": "",
"Gateway": "",
"GlobalIPv6Address": "",
"GlobalIPv6PrefixLen": 0,
"IPAddress": "",
"IPPrefixLen": 0,
"IPv6Gateway": "",
"MacAddress": "",
"Networks": {
"bridge": {
"IPAMConfig": null,
"Links": null,
"Aliases": null,
"NetworkID": "4ce07b9fd8a7dce0a87289a601d2ae6b0dedb29375114affd69ada6e46fdfa34",
"EndpointID": "",
"Gateway": "",
"IPAddress": "",
"IPPrefixLen": 0,
"IPv6Gateway": "",
"GlobalIPv6Address": "",
"GlobalIPv6PrefixLen": 0,
"MacAddress": "",
"DriverOpts": null
}
}
}
}
]
7.拉取镜像
sudo docker pull tensorflow/tensorflow
Using default tag: latest
latest: Pulling from tensorflow/tensorflow
d5c6f90da05d: Already exists
1300883d87d5: Already exists
c220aa3cfc1b: Already exists
2e9398f099dc: Already exists
dc27a084064f: Already exists
ac20e1750c7a: Pull complete
5eb5e7cac016: Pull complete
559f0c8c16df: Pull complete
a87ddd485328: Pull complete
e51c4834e0e9: Pull complete
ce3f24dd1116: Pull complete
32b04708f9fa: Pull complete
Digest: sha256:4b014f1ddfdaf046a02c7477de5a2053f93d68f4d6dcf8462344383520c264b9
Status: Downloaded newer image for tensorflow/tensorflow:latest
8.运行一个镜像的容器
sudo mkdir -p /data/tensorflow/notebooks
sudo docker run -it --name mytensorflow -v /data/tensorflow/notebooks:/notebooks -p 8888:8888 tensorflow/tensorflow
启动的时候并不是daemon 模式的，而是前台模式，同时显示了运行的日志。
[I 02:40:08.286 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
[W 02:40:08.353 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[I 02:40:08.377 NotebookApp] Serving notebooks from local directory: /notebooks
[I 02:40:08.377 NotebookApp] 0 active kernels
[I 02:40:08.377 NotebookApp] The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/?token=1775ab799ca7a6f023988057a623b3a0ba30b5017e0a1187
[I 02:40:08.378 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 02:40:08.379 NotebookApp]
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://localhost:8888/?token=1775ab799ca7a6f023988057a623b3a0ba30b5017e0a1187
sudo docker run -it -d --name mytensorflow -v /data/tensorflow/notebooks:/notebooks -p 8888:8888 tensorflow/tensorflow
在后台运行刚才的容器
sudo docker start mytensorflow
9.进入容器，然后可以执行安装等操作
py@ubuntu:~$ sudo docker exec -it mytensorflow bash
root@d87c904ff7a9:/notebooks#
从容器退回到宿主机
root@d87c904ff7a9:/notebooks# exit
10.将本地文件复制到容器中
sudo docker cp ./Desktop/jdk-8u144-linux-x64.tar.gz mycontainer:/usr/local
