Package tensorflow.serving
Interface ModelServiceGrpc.AsyncService
- All Known Implementing Classes:
ModelServiceGrpc.ModelServiceImplBase
- Enclosing class:
ModelServiceGrpc
public static interface ModelServiceGrpc.AsyncService
ModelService provides methods to query and update the state of the server, e.g. which models/versions are being served.
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Method Summary
Modifier and TypeMethodDescriptiondefault voidgetModelStatus(GetModelStatus.GetModelStatusRequest request, io.grpc.stub.StreamObserver<GetModelStatus.GetModelStatusResponse> responseObserver) Gets status of model.default voidhandleReloadConfigRequest(ModelManagement.ReloadConfigRequest request, io.grpc.stub.StreamObserver<ModelManagement.ReloadConfigResponse> responseObserver) Reloads the set of served models.
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Method Details
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getModelStatus
default 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
default 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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