Uses of Class
org.apache.ignite.tensorflow.cluster.spec.TensorFlowClusterSpec

Packages that use TensorFlowClusterSpec

Package	Description
org.apache.ignite.tensorflow.cluster	TensorFlow integration API that allows to start and maintain TensorFlow cluster using infrastructure tools from package org.apache.ignite.tensorflow.core.
org.apache.ignite.tensorflow.cluster.spec	Contains specifications that describes TensorFlow cluster configuration.
org.apache.ignite.tensorflow.cluster.tfrunning	Additional "running" layer on top of Python running layer of infrastructure.
org.apache.ignite.tensorflow.cluster.util	Util components that are used in TensorFlow cluster package.

Uses of TensorFlowClusterSpec in org.apache.ignite.tensorflow.cluster

Methods in org.apache.ignite.tensorflow.cluster that return TensorFlowClusterSpec

Modifier and Type	Method and Description
TensorFlowClusterSpec	TensorFlowCluster.getSpec()

Constructors in org.apache.ignite.tensorflow.cluster with parameters of type TensorFlowClusterSpec

Constructor and Description
TensorFlowCluster(TensorFlowClusterSpec spec, Map<UUID,List<UUID>> processes) Constructs a new instance of TensorFlow cluster.

Uses of TensorFlowClusterSpec in org.apache.ignite.tensorflow.cluster.spec

Methods in org.apache.ignite.tensorflow.cluster.spec that return TensorFlowClusterSpec

Modifier and Type	Method and Description
TensorFlowClusterSpec	TensorFlowClusterSpec.addTask(String jobName, UUID nodeId, int port) Adds new task to the cluster specification.

Uses of TensorFlowClusterSpec in org.apache.ignite.tensorflow.cluster.tfrunning

Methods in org.apache.ignite.tensorflow.cluster.tfrunning that return TensorFlowClusterSpec

Modifier and Type	Method and Description
TensorFlowClusterSpec	TensorFlowServer.getClusterSpec()

Constructors in org.apache.ignite.tensorflow.cluster.tfrunning with parameters of type TensorFlowClusterSpec

Constructor and Description
TensorFlowServer(TensorFlowClusterSpec clusterSpec, String jobName) Constructs a new instance of TensorFlow server specification.
TensorFlowServer(TensorFlowClusterSpec clusterSpec, String jobName, Integer taskIdx) Constructs a new instance of TensorFlow server specification.
TensorFlowServer(TensorFlowClusterSpec clusterSpec, String jobName, Integer taskIdx, String proto) Constructs a new instance of TensorFlow server specification.

Uses of TensorFlowClusterSpec in org.apache.ignite.tensorflow.cluster.util

Methods in org.apache.ignite.tensorflow.cluster.util that return TensorFlowClusterSpec

Modifier and Type	Method and Description
TensorFlowClusterSpec	TensorFlowClusterResolver.resolveAndAcquirePorts(String upstreamCacheName) Resolves TensorFlow cluster and acquires required ports.

Methods in org.apache.ignite.tensorflow.cluster.util with parameters of type TensorFlowClusterSpec

Modifier and Type	Method and Description
void	TensorFlowClusterResolver.releasePorts(TensorFlowClusterSpec spec) Releases ports acquired for the given cluster specification.

Constructors in org.apache.ignite.tensorflow.cluster.util with parameters of type TensorFlowClusterSpec

Constructor and Description
TensorFlowChiefRunner(Ignite ignite, ExecutorService executor, TensorFlowClusterSpec spec, Consumer<String> out, Consumer<String> err) Constructs a new instance of TensorFlow chief runner.
TensorFlowUserScriptRunner(Ignite ignite, ExecutorService executor, TensorFlowJobArchive jobArchive, TensorFlowClusterSpec clusterSpec, Consumer<String> out, Consumer<String> err) Constructs a new instance of TensorFlow user script runner.