Package tensorflow.serving
Class ModelServiceGrpc.ModelServiceImplBase
java.lang.Object
tensorflow.serving.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.
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Constructor Summary
Constructors Constructor Description ModelServiceImplBase() -
Method Summary
Modifier and Type Method Description io.grpc.ServerServiceDefinitionbindService()voidgetModelStatus(GetModelStatus.GetModelStatusRequest request, io.grpc.stub.StreamObserver<GetModelStatus.GetModelStatusResponse> responseObserver)Gets status of model.voidhandleReloadConfigRequest(ModelManagement.ReloadConfigRequest request, io.grpc.stub.StreamObserver<ModelManagement.ReloadConfigResponse> responseObserver)Reloads the set of served models.
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Constructor Details
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ModelServiceImplBase
public ModelServiceImplBase()
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Method Details
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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.
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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.
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bindService
public final io.grpc.ServerServiceDefinition bindService()- Specified by:
bindServicein interfaceio.grpc.BindableService
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