public static final class TensorboardServiceGrpc.TensorboardServiceBlockingStub extends io.grpc.stub.AbstractBlockingStub<TensorboardServiceGrpc.TensorboardServiceBlockingStub>
TensorboardService
protected TensorboardServiceGrpc.TensorboardServiceBlockingStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions)
build in class io.grpc.stub.AbstractStub<TensorboardServiceGrpc.TensorboardServiceBlockingStub>public com.google.longrunning.Operation createTensorboard(CreateTensorboardRequest request)
Creates a Tensorboard.
public Tensorboard getTensorboard(GetTensorboardRequest request)
Gets a Tensorboard.
public com.google.longrunning.Operation updateTensorboard(UpdateTensorboardRequest request)
Updates a Tensorboard.
public ListTensorboardsResponse listTensorboards(ListTensorboardsRequest request)
Lists Tensorboards in a Location.
public com.google.longrunning.Operation deleteTensorboard(DeleteTensorboardRequest request)
Deletes a Tensorboard.
public ReadTensorboardUsageResponse readTensorboardUsage(ReadTensorboardUsageRequest request)
Returns a list of monthly active users for a given TensorBoard instance.
public ReadTensorboardSizeResponse readTensorboardSize(ReadTensorboardSizeRequest request)
Returns the storage size for a given TensorBoard instance.
public TensorboardExperiment createTensorboardExperiment(CreateTensorboardExperimentRequest request)
Creates a TensorboardExperiment.
public TensorboardExperiment getTensorboardExperiment(GetTensorboardExperimentRequest request)
Gets a TensorboardExperiment.
public TensorboardExperiment updateTensorboardExperiment(UpdateTensorboardExperimentRequest request)
Updates a TensorboardExperiment.
public ListTensorboardExperimentsResponse listTensorboardExperiments(ListTensorboardExperimentsRequest request)
Lists TensorboardExperiments in a Location.
public com.google.longrunning.Operation deleteTensorboardExperiment(DeleteTensorboardExperimentRequest request)
Deletes a TensorboardExperiment.
public TensorboardRun createTensorboardRun(CreateTensorboardRunRequest request)
Creates a TensorboardRun.
public BatchCreateTensorboardRunsResponse batchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest request)
Batch create TensorboardRuns.
public TensorboardRun getTensorboardRun(GetTensorboardRunRequest request)
Gets a TensorboardRun.
public TensorboardRun updateTensorboardRun(UpdateTensorboardRunRequest request)
Updates a TensorboardRun.
public ListTensorboardRunsResponse listTensorboardRuns(ListTensorboardRunsRequest request)
Lists TensorboardRuns in a Location.
public com.google.longrunning.Operation deleteTensorboardRun(DeleteTensorboardRunRequest request)
Deletes a TensorboardRun.
public BatchCreateTensorboardTimeSeriesResponse batchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request)
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
public TensorboardTimeSeries createTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest request)
Creates a TensorboardTimeSeries.
public TensorboardTimeSeries getTensorboardTimeSeries(GetTensorboardTimeSeriesRequest request)
Gets a TensorboardTimeSeries.
public TensorboardTimeSeries updateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest request)
Updates a TensorboardTimeSeries.
public ListTensorboardTimeSeriesResponse listTensorboardTimeSeries(ListTensorboardTimeSeriesRequest request)
Lists TensorboardTimeSeries in a Location.
public com.google.longrunning.Operation deleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest request)
Deletes a TensorboardTimeSeries.
public BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest request)
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.
public ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest request)
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 Iterator<ReadTensorboardBlobDataResponse> readTensorboardBlobData(ReadTensorboardBlobDataRequest request)
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 WriteTensorboardExperimentDataResponse writeTensorboardExperimentData(WriteTensorboardExperimentDataRequest request)
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. If any data fail to be ingested, an error is returned.
public WriteTensorboardRunDataResponse writeTensorboardRunData(WriteTensorboardRunDataRequest request)
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If any data fail to be ingested, an error is returned.
public ExportTensorboardTimeSeriesDataResponse exportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest request)
Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
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