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From "Alexey Zinoviev (Jira)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-10292) ML: Replace IGFS by model storage for TensorFlow
Date Fri, 29 Nov 2019 09:37:00 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-10292?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16984851#comment-16984851

Alexey Zinoviev commented on IGNITE-10292:

[~dmagda] [~mmuzaf] Guys, I suggest to move this ticket to 2.9 or 3.0, no chance to finish
that release (need changes in Ignite Core, clients and ignite-tf integration and also merging
the changes to tensorflow).

I'll start the discussion with tensorflow community and prepare PR in February 2020

> ML: Replace IGFS by model storage for TensorFlow
> ------------------------------------------------
>                 Key: IGNITE-10292
>                 URL: https://issues.apache.org/jira/browse/IGNITE-10292
>             Project: Ignite
>          Issue Type: Improvement
>          Components: ml
>    Affects Versions: 2.8
>            Reporter: Anton Dmitriev
>            Assignee: Alexey Zinoviev
>            Priority: Major
>              Labels: await
>             Fix For: 2.8
> Currently we have a TensorFlow IGFS plugin that provides a file system functionality
(see https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/ignite). At the
same time IGFS is deprecated and would be great to replace it by a simple model storage based
on cache.

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