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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/12/21 01:27:00 UTC

[jira] [Assigned] (SPARK-41589) PyTorch Distributor

     [ https://issues.apache.org/jira/browse/SPARK-41589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-41589:
------------------------------------

    Assignee: Apache Spark

> PyTorch Distributor
> -------------------
>
>                 Key: SPARK-41589
>                 URL: https://issues.apache.org/jira/browse/SPARK-41589
>             Project: Spark
>          Issue Type: Umbrella
>          Components: ML, PySpark
>    Affects Versions: 3.4.0
>            Reporter: Rithwik Ediga Lakhamsani
>            Assignee: Apache Spark
>            Priority: Major
>
> This is a project to make it easier for PySpark users to distribute PyTorch code using PySpark. The corresponding [Design Document|https://docs.google.com/document/d/1QPO1Ly8WteL6aIPvVcR7Xne9qVtJiB3fdrRn7NwBcpA/edit?usp=sharing] can give more context. This was a project determined by the Databricks ML Training Team; please reach out to [~gurwls223] (Spark-side) or [~erithwik] for more context.



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