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Posted to submarine-dev@hadoop.apache.org by "Zhankun Tang (Jira)" <ji...@apache.org> on 2019/10/23 06:14:00 UTC

[jira] [Updated] (SUBMARINE-258) [SS]Add k8s job submitter in submarine server to run TF job on k8s

     [ https://issues.apache.org/jira/browse/SUBMARINE-258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Zhankun Tang updated SUBMARINE-258:
-----------------------------------
    Description: 
As a PoC, we need several below steps to run the TF job on k8s.
 # The submarine server can run as an independent daemon
 # tf-operator deployed in a k8s cluster. Use kubeflow/tf-operator for now
 # REST API in submarine server to accept a generic TF job spec
 # submitter-k8s translate the spec into tf-operator format and use k8s client API to submit this to the cluster
 # REST API to get tf job status from k8s and parse it to a standard format to be consumed

  was:
As a PoC, we need several below steps to run the TF job on k8s.
 # The submarine server can run as an independent daemon
 # tf-operator deployed in a k8s cluster. Use kubeflow/tf-operator for now
 # REST API in submarine server to accept a generic TF job spec
 # submitter-k8s translate the spec into tf-operator format and use k8s client API to submit this to the cluster
 # REST API to get tf job status from k8s and parse it to a standard format


> [SS]Add k8s job submitter in submarine server to run TF job on k8s
> ------------------------------------------------------------------
>
>                 Key: SUBMARINE-258
>                 URL: https://issues.apache.org/jira/browse/SUBMARINE-258
>             Project: Hadoop Submarine
>          Issue Type: Sub-task
>            Reporter: Zhankun Tang
>            Priority: Major
>
> As a PoC, we need several below steps to run the TF job on k8s.
>  # The submarine server can run as an independent daemon
>  # tf-operator deployed in a k8s cluster. Use kubeflow/tf-operator for now
>  # REST API in submarine server to accept a generic TF job spec
>  # submitter-k8s translate the spec into tf-operator format and use k8s client API to submit this to the cluster
>  # REST API to get tf job status from k8s and parse it to a standard format to be consumed



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