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.
Parameters
public void batchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request, StreamObserver<BatchCreateTensorboardTimeSeriesResponse> responseObserver)
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
Parameters
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 will be returned.
Otherwise, that limit number of data points will be randomly selected from
this time series and returned.
Parameters
protected TensorboardServiceGrpc.TensorboardServiceStub 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 void createTensorboard(CreateTensorboardRequest request, StreamObserver<Operation> responseObserver)
Parameters
public void createTensorboardExperiment(CreateTensorboardExperimentRequest request, StreamObserver<TensorboardExperiment> responseObserver)
Creates a TensorboardExperiment.
Parameters
public void createTensorboardRun(CreateTensorboardRunRequest request, StreamObserver<TensorboardRun> responseObserver)
Creates a TensorboardRun.
Parameters
public void createTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest request, StreamObserver<TensorboardTimeSeries> responseObserver)
Creates a TensorboardTimeSeries.
Parameters
public void deleteTensorboard(DeleteTensorboardRequest request, StreamObserver<Operation> responseObserver)
Parameters
public void deleteTensorboardExperiment(DeleteTensorboardExperimentRequest request, StreamObserver<Operation> responseObserver)
Deletes a TensorboardExperiment.
Parameters
public void deleteTensorboardRun(DeleteTensorboardRunRequest request, StreamObserver<Operation> responseObserver)
Deletes a TensorboardRun.
Parameters
public void deleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest request, StreamObserver<Operation> responseObserver)
Deletes a TensorboardTimeSeries.
Parameters
public void exportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest request, StreamObserver<ExportTensorboardTimeSeriesDataResponse> responseObserver)
Exports a TensorboardTimeSeries' data. Data is returned in paginated
responses.
Parameters
public void getTensorboard(GetTensorboardRequest request, StreamObserver<Tensorboard> responseObserver)
Parameters
public void getTensorboardExperiment(GetTensorboardExperimentRequest request, StreamObserver<TensorboardExperiment> responseObserver)
Gets a TensorboardExperiment.
Parameters
public void getTensorboardRun(GetTensorboardRunRequest request, StreamObserver<TensorboardRun> responseObserver)
Parameters
public void getTensorboardTimeSeries(GetTensorboardTimeSeriesRequest request, StreamObserver<TensorboardTimeSeries> responseObserver)
Gets a TensorboardTimeSeries.
Parameters
public void listTensorboardExperiments(ListTensorboardExperimentsRequest request, StreamObserver<ListTensorboardExperimentsResponse> responseObserver)
Lists TensorboardExperiments in a Location.
Parameters
public void listTensorboardRuns(ListTensorboardRunsRequest request, StreamObserver<ListTensorboardRunsResponse> responseObserver)
Lists TensorboardRuns in a Location.
Parameters
public void listTensorboardTimeSeries(ListTensorboardTimeSeriesRequest request, StreamObserver<ListTensorboardTimeSeriesResponse> responseObserver)
Lists TensorboardTimeSeries in a Location.
Parameters
public void listTensorboards(ListTensorboardsRequest request, StreamObserver<ListTensorboardsResponse> responseObserver)
Lists Tensorboards in a Location.
Parameters
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.
Parameters
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 will be returned. Otherwise, 1000
data points will be 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.
Parameters
public void updateTensorboard(UpdateTensorboardRequest request, StreamObserver<Operation> responseObserver)
Parameters
public void updateTensorboardExperiment(UpdateTensorboardExperimentRequest request, StreamObserver<TensorboardExperiment> responseObserver)
Updates a TensorboardExperiment.
Parameters
public void updateTensorboardRun(UpdateTensorboardRunRequest request, StreamObserver<TensorboardRun> responseObserver)
Updates a TensorboardRun.
Parameters
public void updateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest request, StreamObserver<TensorboardTimeSeries> responseObserver)
Updates a TensorboardTimeSeries.
Parameters
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 will be
returned.
Parameters
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 will be
returned.
Parameters