Package tensorflow.serving

Class ModelServiceGrpc.ModelServiceImplBase

  • All Implemented Interfaces:
    io.grpc.BindableService
    Enclosing class:
    ModelServiceGrpc
    public abstract static class ModelServiceGrpc.ModelServiceImplBase
extends java.lang.Object
implements io.grpc.BindableService
     ModelService provides methods to query and update the state of the server,
 e.g. which models/versions are being served.

    • Constructor Detail

      • ModelServiceImplBase

        public ModelServiceImplBase()

    • Method Detail

      • getModelStatus

        public void getModelStatus​(GetModelStatus.GetModelStatusRequest request,
                           io.grpc.stub.StreamObserver<GetModelStatus.GetModelStatusResponse> responseObserver)
         Gets status of model. If the ModelSpec in the request does not specify
 version, information about all versions of the model will be returned. If
 the ModelSpec in the request does specify a version, the status of only
 that version will be returned.

      • handleReloadConfigRequest

        public void handleReloadConfigRequest​(ModelManagement.ReloadConfigRequest request,
                                      io.grpc.stub.StreamObserver<ModelManagement.ReloadConfigResponse> responseObserver)
         Reloads the set of served models. The new config supersedes the old one,
 so if a model is omitted from the new config it will be unloaded and no
 longer served.

      • bindService

        public final io.grpc.ServerServiceDefinition bindService()
        Specified by:
        bindService in interface io.grpc.BindableService