[jira] [Updated] (SUBMARINE-25) [Submarine] Manage submarine's docker image with docker hub

2020-01-15 Thread Zhankun Tang (Jira)


 [ 
https://issues.apache.org/jira/browse/SUBMARINE-25?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Zhankun Tang updated SUBMARINE-25:
--
Target Version: 0.4.0  (was: 0.3.0)

Bulk update due to releasing 0.3.0. Please change it back if you think this is 
a blocker.

> [Submarine] Manage submarine's docker image with docker hub
> ---
>
> Key: SUBMARINE-25
> URL: https://issues.apache.org/jira/browse/SUBMARINE-25
> Project: Apache Submarine
>  Issue Type: New Feature
>  Components: Mini Submarine
>Reporter: Xun Liu
>Assignee: Liu Xun
>Priority: Major
>
> Currently the deep learning algorithm file is packaged into the docker image 
> file.
> In the formal use of the deep learning system, the algorithm files are 
> generally divided into the following ways:
> 1. The fixed algorithm will be made into a separate docker image, which is 
> convenient for maintenance and testing. Image files with different algorithms 
> built in are managed by mirrored warehouse.
> 2. We also need to dynamically pass in algorithm scripts so that algorithm 
> developers can test and run algorithm scripts without packaging.
> 3. In addition, submarine needs to support different deep learning frameworks 
> in the future.
> We need to manage the image that submarine needs to use through the docker 
> hub. And we need to develop some specifications to manage these images.



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[jira] [Updated] (SUBMARINE-25) [Submarine] Manage submarine's docker image with docker hub

2019-12-16 Thread Zhankun Tang (Jira)


 [ 
https://issues.apache.org/jira/browse/SUBMARINE-25?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Zhankun Tang updated SUBMARINE-25:
--
   Component/s: Mini Submarine
Target Version: 0.3.0

> [Submarine] Manage submarine's docker image with docker hub
> ---
>
> Key: SUBMARINE-25
> URL: https://issues.apache.org/jira/browse/SUBMARINE-25
> Project: Apache Submarine
>  Issue Type: New Feature
>  Components: Mini Submarine
>Reporter: Xun Liu
>Assignee: Xun Liu
>Priority: Major
>
> Currently the deep learning algorithm file is packaged into the docker image 
> file.
> In the formal use of the deep learning system, the algorithm files are 
> generally divided into the following ways:
> 1. The fixed algorithm will be made into a separate docker image, which is 
> convenient for maintenance and testing. Image files with different algorithms 
> built in are managed by mirrored warehouse.
> 2. We also need to dynamically pass in algorithm scripts so that algorithm 
> developers can test and run algorithm scripts without packaging.
> 3. In addition, submarine needs to support different deep learning frameworks 
> in the future.
> We need to manage the image that submarine needs to use through the docker 
> hub. And we need to develop some specifications to manage these images.



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