daily Programming: 從 tendorflow 官網 小改一個 tensorflow image 變成自己的兒~ XDD

一個風和日麗即將過年的星期一早晨　

想到上禮拜的快樂 AI 分享，如果要快速建置一個 ml‵ 環境，用 docker 是很完美的解決方案。

耶～

tensorflow 官網，有很多詳細介紹使用。

我用 jupyter notebbok 的版本。

docker run -it -p 8888:8888 tensorflow/tensorflow:nightly-py3-jupyter

大致上是這樣

• 抓官方的 image
  • run image
    • docker container run --name yuting-tf -p 8888:8888 tensorflow/tensorflow:nightly-py3-jupyter
  • exec 進 container
    • docker container exec -it yuting-tf bash
  • 安裝 pandas, seaborn, sklearn (官方沒有)
    • pip install pandas seaborn skleran
  • 讓此狀態 (官方tensorflow image + pip install pandas, seaborn, skleran) 下的 container 變成一image
    • docker commit
      • docker commit <container-id/name>
• build 新的 tag
  • 查看剛剛　docker commit
    • docker image ls 會看到一個剛新建只有 IMAGE ID 的

      • PS E:\> docker image ls
        REPOSITORY                 TAG                   IMAGE ID            CREATED             SIZE
        <none>                     <none>                9d651abad0b1        6 seconds ago       2.97GB
        ... 
        

  • docker image tag <source-id/name> <target-image-name>
    • 把剛剛 commit image id 當成 source 來源 新build 一個 image
      • docker iamge tag 9d651abad0b1 yuting-tensorflow
  • 看現在 image list 情況

    • PS E:\> docker image ls
      REPOSITORY                 TAG                   IMAGE ID            CREATED             SIZE
      yuting-tensorflow          latest                9d651abad0b1        2 minutes ago       2.97GB
      

• 上傳至 Docker Hub

  • 把剛剛已經 build 好的 image 照 Docker Hub 規則 <usr>/<repo>:<tag> 新 build 一個 image

    • docker image tag yuting-tensorflow tim23656/tensorflow:yuting-v1

    • 可以清楚看到 IMAGE ID 是一模一樣的唷～

      •  PS E:\> docker image tag yuting-tensorflow tim23656/tensorflow:yuting-v1
         PS E:\> docker image ls
         REPOSITORY                 TAG                   IMAGE ID            CREATED             SIZE
         yuting-tensorflow          latest                9d651abad0b1        4 minutes ago       2.97GB
         tim23656/tensorflow        yuting-v1             9d651abad0b1        4 minutes ago       2.97GB
        

  • push 上 Docker Hub

      PS E:\> docker image push tim23656/tensorflow:yuting-v1
      The push refers to repository [docker.io/tim23656/tensorflow]
      39cf1631e553: Pushed                                                                                                    
      96ae1e489cb8: Mounted from tensorflow/tensorflow                                                                        
      dd29d83dc0e3: Mounted from tensorflow/tensorflow                                                                        
      33fa6610ad9f: Mounted from tensorflow/tensorflow                                                                        
      aee8200659e9: Mounted from tensorflow/tensorflow                                                                        
      30e6f3b975fd: Mounted from tensorflow/tensorflow                                                                        
      fdd7eaf8fa52: Mounted from tensorflow/tensorflow                                                                        
      a3390fe65a10: Mounted from tensorflow/tensorflow                                                                        
      cbb1460d1298: Mounted from tensorflow/tensorflow                                                                        
      9fd8ecc50338: Mounted from tensorflow/tensorflow                                                                        
      f6f58c106474: Mounted from tensorflow/tensorflow                                                                        
      8c797d8ac223: Mounted from tensorflow/tensorflow                                                                        
      334ca2803159: Mounted from tensorflow/tensorflow                                                                        
      e443f5e673a6: Mounted from tensorflow/tensorflow                                                                        
      b97be3bb8a66: Mounted from tensorflow/tensorflow                                                                        
      f7753afc08bb: Mounted from tensorflow/tensorflow                                                                        
      2141677d99ae: Mounted from tensorflow/tensorflow                                                                        
      204d46de2d69: Mounted from tensorflow/tensorflow                                                                        
      5e10c362b98c: Mounted from tensorflow/tensorflow                                                                        
      1f21658a9230: Mounted from tensorflow/tensorflow                                                                        
      d89d90ba791e: Mounted from tensorflow/tensorflow                                                                        
      caf9b8f602b4: Mounted from tensorflow/tensorflow                                                                        
      f851662e7833: Mounted from tensorflow/tensorflow                                                                        
      918efb8f161b: Mounted from tensorflow/tensorflow                                                                        
      27dd43ea46a8: Mounted from tensorflow/tensorflow                                                                        
      9f3bfcc4a1a8: Mounted from tensorflow/tensorflow                                                                        
      2dc9f76fb25b: Mounted from tensorflow/tensorflow                                                                        
      yuting-v1: digest: sha256:87c2d98f22efc603ef5db2b65c7eb29bde27b9d1a55dfe40d721fea565134e49 size: 5964
    

• 我的 Docker Hub

  • https://hub.docker.com/r/tim23656/tensorflow

其他

• 如果想要讓 container ml 的環境 (PYTHON: jupyter notebbok) 吃到本機的資料夾？

  • docker container run -v $PWD:/tf -w /tf -p 8888:8888 tim23656/tensorflow:yuting-v1
    • -v: volume bind mounting
    • -w: -w, –workdir string Working directory inside the container