Uses of Class
tensorflow.serving.ModelManagement.ReloadConfigRequest
Packages that use ModelManagement.ReloadConfigRequest
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Uses of ModelManagement.ReloadConfigRequest in tensorflow.serving
Methods in tensorflow.serving that return ModelManagement.ReloadConfigRequestModifier and TypeMethodDescriptionModelManagement.ReloadConfigRequest.Builder.build()ModelManagement.ReloadConfigRequest.Builder.buildPartial()ModelManagement.ReloadConfigRequest.getDefaultInstance()ModelManagement.ReloadConfigRequest.Builder.getDefaultInstanceForType()ModelManagement.ReloadConfigRequest.getDefaultInstanceForType()ModelManagement.ReloadConfigRequest.parseDelimitedFrom(InputStream input) ModelManagement.ReloadConfigRequest.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelManagement.ReloadConfigRequest.parseFrom(byte[] data) ModelManagement.ReloadConfigRequest.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelManagement.ReloadConfigRequest.parseFrom(com.google.protobuf.ByteString data) ModelManagement.ReloadConfigRequest.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelManagement.ReloadConfigRequest.parseFrom(com.google.protobuf.CodedInputStream input) ModelManagement.ReloadConfigRequest.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelManagement.ReloadConfigRequest.parseFrom(InputStream input) ModelManagement.ReloadConfigRequest.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelManagement.ReloadConfigRequest.parseFrom(ByteBuffer data) ModelManagement.ReloadConfigRequest.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in tensorflow.serving that return types with arguments of type ModelManagement.ReloadConfigRequestModifier and TypeMethodDescriptionstatic io.grpc.MethodDescriptor<ModelManagement.ReloadConfigRequest, ModelManagement.ReloadConfigResponse> ModelServiceGrpc.getHandleReloadConfigRequestMethod()com.google.protobuf.Parser<ModelManagement.ReloadConfigRequest> ModelManagement.ReloadConfigRequest.getParserForType()static com.google.protobuf.Parser<ModelManagement.ReloadConfigRequest> ModelManagement.ReloadConfigRequest.parser()Methods in tensorflow.serving with parameters of type ModelManagement.ReloadConfigRequestModifier and TypeMethodDescriptiondefault voidModelServiceGrpc.AsyncService.handleReloadConfigRequest(ModelManagement.ReloadConfigRequest request, io.grpc.stub.StreamObserver<ModelManagement.ReloadConfigResponse> responseObserver) Reloads the set of served models.ModelServiceGrpc.ModelServiceBlockingStub.handleReloadConfigRequest(ModelManagement.ReloadConfigRequest request) Reloads the set of served models.ModelServiceGrpc.ModelServiceBlockingV2Stub.handleReloadConfigRequest(ModelManagement.ReloadConfigRequest request) Reloads the set of served models.com.google.common.util.concurrent.ListenableFuture<ModelManagement.ReloadConfigResponse> ModelServiceGrpc.ModelServiceFutureStub.handleReloadConfigRequest(ModelManagement.ReloadConfigRequest request) Reloads the set of served models.voidModelServiceGrpc.ModelServiceStub.handleReloadConfigRequest(ModelManagement.ReloadConfigRequest request, io.grpc.stub.StreamObserver<ModelManagement.ReloadConfigResponse> responseObserver) Reloads the set of served models.ModelManagement.ReloadConfigRequest.Builder.mergeFrom(ModelManagement.ReloadConfigRequest other) ModelManagement.ReloadConfigRequest.newBuilder(ModelManagement.ReloadConfigRequest prototype)