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Posted to issues@ignite.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/08/16 10:07:00 UTC

[jira] [Commented] (IGNITE-9278) ML TF integration: Can't find free ports in range

    [ https://issues.apache.org/jira/browse/IGNITE-9278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16582311#comment-16582311 ] 

ASF GitHub Bot commented on IGNITE-9278:
----------------------------------------

GitHub user dmitrievanthony opened a pull request:

    https://github.com/apache/ignite/pull/4557

    IGNITE-9278 Fix TensorFlow integration: Can't find free ports in range

    

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/gridgain/apache-ignite ignite-9278

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/ignite/pull/4557.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #4557
    
----
commit 51e9c026e447e120c1ff6f8fc76a2f3031036eee
Author: Anton Dmitriev <dm...@...>
Date:   2018-08-16T09:36:58Z

    IGNITE-9278 Add debug output and add save after update in cluster port
    manager.

commit c710424996685dfd1fe1c1c792e1c358a6c21df5
Author: Anton Dmitriev <dm...@...>
Date:   2018-08-16T10:04:16Z

    IGNITE-9278 Remove debug output.

----


> ML TF integration: Can't find free ports in range
> -------------------------------------------------
>
>                 Key: IGNITE-9278
>                 URL: https://issues.apache.org/jira/browse/IGNITE-9278
>             Project: Ignite
>          Issue Type: Bug
>          Components: ml
>    Affects Versions: 2.7
>         Environment: CentOS 7
> Java 8
> Python 3.6.3
> Ports in range 10000-11000 are free
>            Reporter: Stepan Pilschikov
>            Assignee: Anton Dmitriev
>            Priority: Major
>              Labels: tf-integration
>
>  - Running cluster
>  - Fill caches
>  - Start script
> Exception in nodes log
> {code:java}
> >>> >>> >>> >>> >>> ... ... ... ... ... ... ... >>> ... ... ... ... >>> >>> >>> 
> [15:27:50,295][SEVERE][service-#105][GridServiceProcessor] Service execution stopped with error [name=TF_SERVICE_2e3875d0-1471-4f58-b51a-28d6e2dc8497, execId=d40f3ffd-547c-4f26-867e-07c48b867bd5]
> java.lang.IllegalStateException: No free ports in range [from=10000, cnt=1000]
>         at org.apache.ignite.tensorflow.cluster.util.ClusterPortManager.acquirePort(ClusterPortManager.java:107)
>         at org.apache.ignite.tensorflow.cluster.util.TensorFlowClusterResolver.resolveAndAcquirePortsForWorkers(TensorFlowClusterResolver.java:103)
>         at org.apache.ignite.tensorflow.cluster.util.TensorFlowClusterResolver.resolveAndAcquirePorts(TensorFlowClusterResolver.java:67)
>         at org.apache.ignite.tensorflow.cluster.TensorFlowClusterManager.createCluster(TensorFlowClusterManager.java:116)
>         at org.apache.ignite.tensorflow.cluster.TensorFlowClusterMaintainer.execute(TensorFlowClusterMaintainer.java:138)
>         at org.apache.ignite.internal.processors.service.GridServiceProcessor$3.run(GridServiceProcessor.java:1396)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
>         at java.lang.Thread.run(Thread.java:748)
>  {code}



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