doker上运行tensorflow

我就是我 2022-07-11 06:50 138阅读 0赞

# 1>下载 #

docker pull tensorflow/tensorflow

注:对应的为docker.io/tensorflow/tensorflow

# 2>运行jupyter #

## 2.1运行 ##

docker run -p 8888:8888 -p 6006:6006 tensorflow/tensorflow

启动后显示信息：

\[I 06:36:59.777 NotebookApp\] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook\_cookie\_secret  
\[W 06:36:59.816 NotebookApp\] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.  
\[I 06:36:59.827 NotebookApp\] Serving notebooks from local directory: /notebooks  
\[I 06:36:59.827 NotebookApp\] 0 active kernels  
\[I 06:36:59.827 NotebookApp\] The Jupyter Notebook is running at: [ http://\[all][http_all] ip addresses on your system\]:8888/?token=12d770087a7668b5b0a4aecf12c437069a617bcde42de9b9  
\[I 06:36:59.827 NotebookApp\] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).  
\[C 06:36:59.827 NotebookApp\]  
     
    Copy/paste this URL into your browser when you connect for the first time,  
    to login with a token:  
        [ http://localhost:8888/?token=12d770087a7668b5b0a4aecf12c437069a617bcde42de9b9][http_localhost_8888_token_12d770087a7668b5b0a4aecf12c437069a617bcde42de9b9]

说明：

1、使用http://localhost:8888/?token=12d770087a7668b5b0a4aecf12c437069a617bcde42de9b9可以进行访问，因为宿主主机进行了映射端口，可以直接在8888上进行操作。

2、启动以后已经是后台服务，关闭终端后，仍然可以进行操作

交互启动

docker run -it -p 8888:8888 -p 6006:6006 tensorflow/tensorflow

后台启动

docker run –d -p 8888:8888 -p 6006:6006 tensorflow/tensorflow

注：启动后在8888端口上监听

## 2.2通过宿主主机或者本地的浏览器访问tensorflow并测试 ##

版本说明：

见：http://stackoverflow.com/questions/34694701/tensorflow-which-docker-image-to-use

There are four images:

1.  b.gcr.io/tensorflow/tensorflow: TensorFlow CPU binary image.
2.  b.gcr.io/tensorflow/tensorflow:latest-devel: CPU Binary image plus source code.
3.  b.gcr.io/tensorflow/tensorflow:latest-gpu: TensorFlow GPU binary image.
4.  gcr.io/tensorflow/tensorflow:latest-devel-gpu: GPU Binary image plus source code.

查看容器ip：

\[root@bogon ~\]\# docker inspect 5eb16eb805c3 | grep IPAddress  
            "SecondaryIPAddresses": null,  
            "IPAddress": "172.17.0.2",  
                    "IPAddress": "172.17.0.2",

查看容器端口：

\[root@bogon ~\]\# docker port 5eb16eb805c3  
6006/tcp -> 0.0.0.0:6006  
8888/tcp -> 0.0.0.0:8888

## 2.3查看相关日志 ##

\[root@bogon ~\]\# docker logs --help

Usage:  docker logs \[OPTIONS\] CONTAINER

Fetch the logs of a container

-f, --follow        Follow log output  
  --help              Print usage  
  --since             Show logs since timestamp  
  -t, --timestamps    Show timestamps  
  --tail=all          Number of lines to show from the end of the logs

docker logs -f f2b4c9bb53dd

同tail -f的用途

docker logs – t 2b4c9bb53dd

显示日志包括所有的时间戳

# 3>运行TensorBoard #

## 3.1运行 ##

docker run   -p 6006:6006 tensorflow/tensorflow tensorboard --logdir=/opt/tensor

## 3.2浏览器访问： ##

[http://localhost:6006/][http_localhost_6006]

[![image][]][image 1]

## 3.3进入tensorboard容器中运行相关代码 ##

[![image][image 2]][image_image 2]

**说明：**docker中运行外部数据需要挂载外部卷来操作

# 4>启动脚本 #

#!/bin/bash
    setenforce 0
    ifconfig | grep -w inet
    docker ps -l
    echo 按任意键继续
    read -n 1
    docker run -it  -p 8888:8888 -p 6006:6006 -v /data/article:/article docker.io/tensorflow/tensorflow

绑定一个文件夹启动

# 5>参考文档 #

scikit.官方例子： [ http://scikit-learn.org/stable/auto\_examples/index.html][http_scikit-learn.org_stable_auto_examples_index.html]

### TensorBoard简介(docker可以启动可视化界面)  [ http://www.cnblogs.com/lienhua34/p/5998885.html][http_www.cnblogs.com_lienhua34_p_5998885.html] ###

tensorflow例子教程 [ http://wiki.jikexueyuan.com/project/tensorflow-zh/][http_wiki.jikexueyuan.com_project_tensorflow-zh]

github上tensorflow例子 [ https://github.com/aymericdamien/TensorFlow-Examples][https_github.com_aymericdamien_TensorFlow-Examples]

#### 使用GBDT选取特征    [ http://www.letiantian.me/2015-03-31-use-gbdt-to-select-features/][http_www.letiantian.me_2015-03-31-use-gbdt-to-select-features] ####

scikit官方api  [ http://scikit-learn.org/stable/][http_scikit-learn.org_stable]

机器学习之用Python从零实现贝叶斯分类器  [ http://python.jobbole.com/81019/][http_python.jobbole.com_81019]

机器学习算法一般步骤 [ http://www.cnblogs.com/chaoren399/p/4851658.html][http_www.cnblogs.com_chaoren399_p_4851658.html]

基于机器学习方法的POI品类推荐算法   [ http://tech.meituan.com/category-recommend-base-ml.html][http_tech.meituan.com_category-recommend-base-ml.html]

Tensorflow学习笔记3：TensorBoard可视化学习  [ http://www.cnblogs.com/lienhua34/p/5998885.html][http_www.cnblogs.com_lienhua34_p_5998885.html]

[http_all]: http://[all
[http_localhost_8888_token_12d770087a7668b5b0a4aecf12c437069a617bcde42de9b9]: http://localhost:8888/?token=12d770087a7668b5b0a4aecf12c437069a617bcde42de9b9
[http_localhost_6006]: http://localhost:6006/
[image]: /images/20220711/5fe99e709daa40cdb241edb791c62a13.png
[image 1]: https://img-blog.csdn.net/20170124215750688
[image 2]: https://img-blog.csdn.net/20170124215754874
[image_image 2]: /images/20220711/d31036560c4f467ca941f31b6efd6916.png
[http_scikit-learn.org_stable_auto_examples_index.html]: http://scikit-learn.org/stable/auto_examples/index.html
[http_www.cnblogs.com_lienhua34_p_5998885.html]: http://www.cnblogs.com/lienhua34/p/5998885.html
[http_wiki.jikexueyuan.com_project_tensorflow-zh]: http://wiki.jikexueyuan.com/project/tensorflow-zh/
[https_github.com_aymericdamien_TensorFlow-Examples]: https://github.com/aymericdamien/TensorFlow-Examples
[http_www.letiantian.me_2015-03-31-use-gbdt-to-select-features]: http://www.letiantian.me/2015-03-31-use-gbdt-to-select-features/
[http_scikit-learn.org_stable]: http://scikit-learn.org/stable/
[http_python.jobbole.com_81019]: http://python.jobbole.com/81019/
[http_www.cnblogs.com_chaoren399_p_4851658.html]: http://www.cnblogs.com/chaoren399/p/4851658.html
[http_tech.meituan.com_category-recommend-base-ml.html]: http://tech.meituan.com/category-recommend-base-ml.html