AI初探-使用Docker安装TensorFlow

2018-02-27 11:25:57来源:oschina作者:网微鸣人点击

分享

本篇基于macOS 使用 Docker安装TensorFlow未安装Docker?参考《AI初探-MacOS Docker 安装》在终端键入命令:


$ docker run -it -p 8888:8888 tensorflow/tensorflow

其中, -i:以交互模式运行容器,通常与 -t 同时使用; -t:为容器重新分配一个伪输入终端,通常与 -i 同时使用; -p 8888:8888”代表将容器中的8888端口映射到本地机器的8888端口上,可以使tensorflow程序运行在Jupyter notebook上; 最后的“tensorflow/tensorflow”代表启动的容器名称及其版本标签。


从镜像tensorflow/tensorflow实例化容器,如果容器在本地不存在,会自动下载到本地再运行:


$ docker run -it -p 8888:8888 tensorflow/tensorflow
Unable to find image 'tensorflow/tensorflow:latest' locally
latest: Pulling from tensorflow/tensorflow
1be7f2b886e8: Pull complete
6fbc4a21b806: Pull complete
...
Digest: sha256:ba27241364bc4aa2a49120877d3e741b8b57f436bfc626c5388d9b6fe2e280bc
Status: Downloaded newer image for tensorflow/tensorflow:latest
[I 09:02:48.497 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
[W 09:02:48.539 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[I 09:02:48.557 NotebookApp] Serving notebooks from local directory: /notebooks
[I 09:02:48.557 NotebookApp] 0 active kernels
[I 09:02:48.557 NotebookApp] The Jupyter Notebook is running at:
[I 09:02:48.557 NotebookApp] http://[all ip addresses on your system]:8888/?token=a8dc18a90aa46034800aeb46291cb4d415e7175d162a96ef
[I 09:02:48.558 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 09:02:48.560 NotebookApp]
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://localhost:8888/?token=a8dc18a90aa46034800aeb46291cb4d415e7175d162a96ef

访问http://localhost:8888/?token=a8dc18a90aa46034800aeb46291cb4d415e7175d162a96ef,进入Jupyter Notebook后台,运行一个简短的tensorflow程序:


# Python import tensorflow as tf hello = tf.constant('Hello, TensorFlow!') sess = tf.Session() print(sess.run(hello))


输出Hello, TensorFlow!,安装成功,后续文章将继续TensorFlow之旅,~~!


PS:下面提供一些简单的docker命令 - -在终端键入命令,查看运行中的容器:


$ docker ps
CONTAINER IDIMAGE COMMANDCREATEDSTATUSPORTSNAMES
541c3842db3btensorflow/tensorflow"/run_jupyter.sh --a…"2 minutes agoUp 3 minutes6006/tcp, 8888/tcp, 0.0.0.0:8888->8888/tcpclever_goldberg

其中“CONTAINER ID”为容器编号;


在终端键入命令,停止运行中的容器:


$ docker stop 541c3842db3b
541c3842db3b

其中“541c3842db3b”是容器ID;


在终端键入命令,查看停止状态的容器:


$ docker ps -a
CONTAINER IDIMAGE COMMANDCREATEDSTATUS PORTS NAMES
541c3842db3btensorflow/tensorflow"/run_jupyter.sh --a…"20 minutes ago Exited (137) 2 minutes ago clever_goldberg

在终端键入命令,启动停止状态的容器:


$ docker start 541c3842db3b
541c3842db3b

参考资料: https://www.tensorflow.org/install/install_mac#ValidateYourInstallation https://docs.docker.com/engine/reference/commandline/run/ https://www.jianshu.com/p/f3f1e6cefda0

最新文章

123

最新摄影

闪念基因

微信扫一扫

第七城市微信公众平台