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https://issues.apache.org/jira/browse/IGNITE-9034?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16563708#comment-16563708
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ASF GitHub Bot commented on IGNITE-9034:
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Github user asfgit closed the pull request at:
https://github.com/apache/ignite/pull/4402
> [ML] Add Estimator API support to TensorFlow cluster on top of Apache Ignite
> ----------------------------------------------------------------------------
>
> Key: IGNITE-9034
> URL: https://issues.apache.org/jira/browse/IGNITE-9034
> Project: Ignite
> Issue Type: Improvement
> Components: ml
> Reporter: Yury Babak
> Assignee: Anton Dmitriev
> Priority: Major
> Fix For: 2.7
>
> Attachments: TFI.pdf
>
>
> TensorFlow distributed training historically has been based on workers,
> parameter servers and manual assignments, but new TensorFlow API (Estimator
> API) allows to run distributed training with minimal changes compare to
> single device execution. Take a look [this
> presentation|https://www.youtube.com/watch?v=bRMGoPqsn20] for more
> information.
> Estimator API requires the following configuration:
> * TF_CONFIG environment variable that contains json with cluster description
> (see [this
> tutorial|https://cloud.google.com/ml-engine/docs/tensorflow/distributed-training-details]),
> * tf.contrib.distribute.MirroredStrategy(workers) that defines distribution
> strategy.
> The goal of this task is to allow:
> * to start and maintain TensorFlow cluster on top of Apache Ignite that
> contains workers and chief job,
> * submit job into such cluster using command line interface.
> Current architecture is in attachment (see [^TFI.pdf])
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