public static final class TensorboardServiceGrpc.TensorboardServiceStub extends AbstractAsyncStub<TensorboardServiceGrpc.TensorboardServiceStub>
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractAsyncStub >
TensorboardServiceGrpc.TensorboardServiceStub
Inherited Members
io.grpc.stub.AbstractAsyncStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractAsyncStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.<T>withOption(io.grpc.CallOptions.Key<T>,T)
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.getCallOptions()
io.grpc.stub.AbstractStub.getChannel()
io.grpc.stub.AbstractStub.withCallCredentials(io.grpc.CallCredentials)
io.grpc.stub.AbstractStub.withChannel(io.grpc.Channel)
io.grpc.stub.AbstractStub.withCompression(java.lang.String)
io.grpc.stub.AbstractStub.withDeadline(io.grpc.Deadline)
io.grpc.stub.AbstractStub.withDeadlineAfter(long,java.util.concurrent.TimeUnit)
io.grpc.stub.AbstractStub.withExecutor(java.util.concurrent.Executor)
io.grpc.stub.AbstractStub.withInterceptors(io.grpc.ClientInterceptor...)
io.grpc.stub.AbstractStub.withMaxInboundMessageSize(int)
io.grpc.stub.AbstractStub.withMaxOutboundMessageSize(int)
io.grpc.stub.AbstractStub.withWaitForReady()
Methods
public void batchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest request, StreamObserver<BatchCreateTensorboardRunsResponse> responseObserver)
Batch create TensorboardRuns.
public void batchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request, StreamObserver<BatchCreateTensorboardTimeSeriesResponse> responseObserver)
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
public void batchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest request, StreamObserver<BatchReadTensorboardTimeSeriesDataResponse> responseObserver)
Reads multiple TensorboardTimeSeries' data. The data point number limit is
1000 for scalars, 100 for tensors and blob references. If the number of
data points stored is less than the limit, all data is returned.
Otherwise, the number limit of data points is randomly selected from
this time series and returned.
protected TensorboardServiceGrpc.TensorboardServiceStub build(Channel channel, CallOptions callOptions)
Parameters |
---|
Name | Description |
channel | io.grpc.Channel
|
callOptions | io.grpc.CallOptions
|
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
public void createTensorboard(CreateTensorboardRequest request, StreamObserver<Operation> responseObserver)
public void createTensorboardExperiment(CreateTensorboardExperimentRequest request, StreamObserver<TensorboardExperiment> responseObserver)
Creates a TensorboardExperiment.
public void createTensorboardRun(CreateTensorboardRunRequest request, StreamObserver<TensorboardRun> responseObserver)
Creates a TensorboardRun.
public void createTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest request, StreamObserver<TensorboardTimeSeries> responseObserver)
Creates a TensorboardTimeSeries.
public void deleteTensorboard(DeleteTensorboardRequest request, StreamObserver<Operation> responseObserver)
public void deleteTensorboardExperiment(DeleteTensorboardExperimentRequest request, StreamObserver<Operation> responseObserver)
Deletes a TensorboardExperiment.
public void deleteTensorboardRun(DeleteTensorboardRunRequest request, StreamObserver<Operation> responseObserver)
Deletes a TensorboardRun.
public void deleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest request, StreamObserver<Operation> responseObserver)
Deletes a TensorboardTimeSeries.
public void exportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest request, StreamObserver<ExportTensorboardTimeSeriesDataResponse> responseObserver)
Exports a TensorboardTimeSeries' data. Data is returned in paginated
responses.
public void getTensorboard(GetTensorboardRequest request, StreamObserver<Tensorboard> responseObserver)
public void getTensorboardExperiment(GetTensorboardExperimentRequest request, StreamObserver<TensorboardExperiment> responseObserver)
Gets a TensorboardExperiment.
public void getTensorboardRun(GetTensorboardRunRequest request, StreamObserver<TensorboardRun> responseObserver)
public void getTensorboardTimeSeries(GetTensorboardTimeSeriesRequest request, StreamObserver<TensorboardTimeSeries> responseObserver)
Gets a TensorboardTimeSeries.
public void listTensorboardExperiments(ListTensorboardExperimentsRequest request, StreamObserver<ListTensorboardExperimentsResponse> responseObserver)
Lists TensorboardExperiments in a Location.
public void listTensorboardRuns(ListTensorboardRunsRequest request, StreamObserver<ListTensorboardRunsResponse> responseObserver)
Lists TensorboardRuns in a Location.
public void listTensorboardTimeSeries(ListTensorboardTimeSeriesRequest request, StreamObserver<ListTensorboardTimeSeriesResponse> responseObserver)
Lists TensorboardTimeSeries in a Location.
public void listTensorboards(ListTensorboardsRequest request, StreamObserver<ListTensorboardsResponse> responseObserver)
Lists Tensorboards in a Location.
public void readTensorboardBlobData(ReadTensorboardBlobDataRequest request, StreamObserver<ReadTensorboardBlobDataResponse> responseObserver)
Gets bytes of TensorboardBlobs.
This is to allow reading blob data stored in consumer project's Cloud
Storage bucket without users having to obtain Cloud Storage access
permission.
public void readTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest request, StreamObserver<ReadTensorboardTimeSeriesDataResponse> responseObserver)
Reads a TensorboardTimeSeries' data. By default, if the number of data
points stored is less than 1000, all data is returned. Otherwise, 1000
data points is randomly selected from this time series and returned.
This value can be changed by changing max_data_points, which can't be
greater than 10k.
public void readTensorboardUsage(ReadTensorboardUsageRequest request, StreamObserver<ReadTensorboardUsageResponse> responseObserver)
Returns a list of monthly active users for a given TensorBoard instance.
public void updateTensorboard(UpdateTensorboardRequest request, StreamObserver<Operation> responseObserver)
public void updateTensorboardExperiment(UpdateTensorboardExperimentRequest request, StreamObserver<TensorboardExperiment> responseObserver)
Updates a TensorboardExperiment.
public void updateTensorboardRun(UpdateTensorboardRunRequest request, StreamObserver<TensorboardRun> responseObserver)
Updates a TensorboardRun.
public void updateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest request, StreamObserver<TensorboardTimeSeries> responseObserver)
Updates a TensorboardTimeSeries.
public void writeTensorboardExperimentData(WriteTensorboardExperimentDataRequest request, StreamObserver<WriteTensorboardExperimentDataResponse> responseObserver)
Write time series data points of multiple TensorboardTimeSeries in multiple
TensorboardRun's. If any data fail to be ingested, an error is returned.
public void writeTensorboardRunData(WriteTensorboardRunDataRequest request, StreamObserver<WriteTensorboardRunDataResponse> responseObserver)
Write time series data points into multiple TensorboardTimeSeries under
a TensorboardRun. If any data fail to be ingested, an error is returned.