public static final class TensorboardServiceGrpc.TensorboardServiceBlockingStub extends AbstractBlockingStub<TensorboardServiceGrpc.TensorboardServiceBlockingStub>
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractBlockingStub >
TensorboardServiceGrpc.TensorboardServiceBlockingStub
Inherited Members
io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractBlockingStub.<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 BatchCreateTensorboardRunsResponse batchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest request)
Batch create TensorboardRuns.
Parameter
Returns
public BatchCreateTensorboardTimeSeriesResponse batchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request)
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
Parameter
Returns
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.
Parameter
Returns
protected TensorboardServiceGrpc.TensorboardServiceBlockingStub build(Channel channel, CallOptions callOptions)
Parameters
Name | Description |
channel | io.grpc.Channel
|
callOptions | io.grpc.CallOptions
|
Returns
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
public Operation createTensorboard(CreateTensorboardRequest request)
Parameter
Returns
public TensorboardExperiment createTensorboardExperiment(CreateTensorboardExperimentRequest request)
Creates a TensorboardExperiment.
Parameter
Returns
public TensorboardRun createTensorboardRun(CreateTensorboardRunRequest request)
Creates a TensorboardRun.
Parameter
Returns
public TensorboardTimeSeries createTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest request)
Creates a TensorboardTimeSeries.
Parameter
Returns
public Operation deleteTensorboard(DeleteTensorboardRequest request)
Parameter
Returns
public Operation deleteTensorboardExperiment(DeleteTensorboardExperimentRequest request)
Deletes a TensorboardExperiment.
Parameter
Returns
public Operation deleteTensorboardRun(DeleteTensorboardRunRequest request)
Deletes a TensorboardRun.
Parameter
Returns
public Operation deleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest request)
Deletes a TensorboardTimeSeries.
Parameter
Returns
public ExportTensorboardTimeSeriesDataResponse exportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest request)
Exports a TensorboardTimeSeries' data. Data is returned in paginated
responses.
Parameter
Returns
public Tensorboard getTensorboard(GetTensorboardRequest request)
Parameter
Returns
public TensorboardExperiment getTensorboardExperiment(GetTensorboardExperimentRequest request)
Gets a TensorboardExperiment.
Parameter
Returns
public TensorboardRun getTensorboardRun(GetTensorboardRunRequest request)
Parameter
Returns
public TensorboardTimeSeries getTensorboardTimeSeries(GetTensorboardTimeSeriesRequest request)
Gets a TensorboardTimeSeries.
Parameter
Returns
public ListTensorboardExperimentsResponse listTensorboardExperiments(ListTensorboardExperimentsRequest request)
Lists TensorboardExperiments in a Location.
Parameter
Returns
public ListTensorboardRunsResponse listTensorboardRuns(ListTensorboardRunsRequest request)
Lists TensorboardRuns in a Location.
Parameter
Returns
public ListTensorboardTimeSeriesResponse listTensorboardTimeSeries(ListTensorboardTimeSeriesRequest request)
Lists TensorboardTimeSeries in a Location.
Parameter
Returns
public ListTensorboardsResponse listTensorboards(ListTensorboardsRequest request)
Lists Tensorboards in a Location.
Parameter
Returns
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.
Parameter
Returns
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.
Parameter
Returns
public ReadTensorboardUsageResponse readTensorboardUsage(ReadTensorboardUsageRequest request)
Returns a list of monthly active users for a given TensorBoard instance.
Parameter
Returns
public Operation updateTensorboard(UpdateTensorboardRequest request)
Parameter
Returns
public TensorboardExperiment updateTensorboardExperiment(UpdateTensorboardExperimentRequest request)
Updates a TensorboardExperiment.
Parameter
Returns
public TensorboardRun updateTensorboardRun(UpdateTensorboardRunRequest request)
Updates a TensorboardRun.
Parameter
Returns
public TensorboardTimeSeries updateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest request)
Updates a TensorboardTimeSeries.
Parameter
Returns
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.
Parameter
Returns
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.
Parameter
Returns