Uses of Class
tensorflow.CoordinationConfig.CoordinationServiceConfig
Packages that use CoordinationConfig.CoordinationServiceConfig
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Uses of CoordinationConfig.CoordinationServiceConfig in org.tensorflow.framework
Methods in org.tensorflow.framework that return CoordinationConfig.CoordinationServiceConfigModifier and TypeMethodDescriptionConfigProto.Experimental.Builder.getCoordinationConfig()Distributed coordination service configurations.ConfigProto.Experimental.getCoordinationConfig()Distributed coordination service configurations.ConfigProto.ExperimentalOrBuilder.getCoordinationConfig()Distributed coordination service configurations.Methods in org.tensorflow.framework with parameters of type CoordinationConfig.CoordinationServiceConfigModifier and TypeMethodDescriptionConfigProto.Experimental.Builder.mergeCoordinationConfig(CoordinationConfig.CoordinationServiceConfig value) Distributed coordination service configurations.ConfigProto.Experimental.Builder.setCoordinationConfig(CoordinationConfig.CoordinationServiceConfig value) Distributed coordination service configurations. -
Uses of CoordinationConfig.CoordinationServiceConfig in tensorflow
Methods in tensorflow that return CoordinationConfig.CoordinationServiceConfigModifier and TypeMethodDescriptionCoordinationConfig.CoordinationServiceConfig.Builder.build()CoordinationConfig.CoordinationServiceConfig.Builder.buildPartial()CoordinationConfig.CoordinationServiceConfig.getDefaultInstance()CoordinationConfig.CoordinationServiceConfig.Builder.getDefaultInstanceForType()CoordinationConfig.CoordinationServiceConfig.getDefaultInstanceForType()CoordinationConfig.CoordinationServiceConfig.parseDelimitedFrom(InputStream input) CoordinationConfig.CoordinationServiceConfig.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) CoordinationConfig.CoordinationServiceConfig.parseFrom(byte[] data) CoordinationConfig.CoordinationServiceConfig.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) CoordinationConfig.CoordinationServiceConfig.parseFrom(com.google.protobuf.ByteString data) CoordinationConfig.CoordinationServiceConfig.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) CoordinationConfig.CoordinationServiceConfig.parseFrom(com.google.protobuf.CodedInputStream input) CoordinationConfig.CoordinationServiceConfig.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) CoordinationConfig.CoordinationServiceConfig.parseFrom(InputStream input) CoordinationConfig.CoordinationServiceConfig.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) CoordinationConfig.CoordinationServiceConfig.parseFrom(ByteBuffer data) CoordinationConfig.CoordinationServiceConfig.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in tensorflow that return types with arguments of type CoordinationConfig.CoordinationServiceConfigModifier and TypeMethodDescriptioncom.google.protobuf.Parser<CoordinationConfig.CoordinationServiceConfig> CoordinationConfig.CoordinationServiceConfig.getParserForType()static com.google.protobuf.Parser<CoordinationConfig.CoordinationServiceConfig> CoordinationConfig.CoordinationServiceConfig.parser()Methods in tensorflow with parameters of type CoordinationConfig.CoordinationServiceConfigModifier and TypeMethodDescriptionCoordinationConfig.CoordinationServiceConfig.Builder.mergeFrom(CoordinationConfig.CoordinationServiceConfig other) CoordinationConfig.CoordinationServiceConfig.newBuilder(CoordinationConfig.CoordinationServiceConfig prototype)