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Posted to issues@ignite.apache.org by "Anton Dmitriev (JIRA)" <ji...@apache.org> on 2018/08/15 16:30:00 UTC
[jira] [Assigned] (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:all-tabpanel ]
Anton Dmitriev reassigned IGNITE-9278:
--------------------------------------
Assignee: Anton Dmitriev
> 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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