public static final class TensorboardServiceGrpc.TensorboardServiceFutureStub extends AbstractFutureStub<TensorboardServiceGrpc.TensorboardServiceFutureStub>
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractFutureStub >
TensorboardServiceGrpc.TensorboardServiceFutureStub
Inherited Members
io.grpc.stub.AbstractFutureStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractFutureStub.<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 ListenableFuture<BatchCreateTensorboardRunsResponse> batchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest request)
Batch create TensorboardRuns.
Parameter
Returns
public ListenableFuture<BatchCreateTensorboardTimeSeriesResponse> batchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request)
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
Parameter
Returns
public ListenableFuture<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 will be returned.
Otherwise, that limit number of data points will be randomly selected from
this time series and returned.
Parameter
Returns
protected TensorboardServiceGrpc.TensorboardServiceFutureStub 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 ListenableFuture<Operation> createTensorboard(CreateTensorboardRequest request)
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<Operation> | |
public ListenableFuture<TensorboardExperiment> createTensorboardExperiment(CreateTensorboardExperimentRequest request)
Creates a TensorboardExperiment.
Parameter
Returns
public ListenableFuture<TensorboardRun> createTensorboardRun(CreateTensorboardRunRequest request)
Creates a TensorboardRun.
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<TensorboardRun> | |
public ListenableFuture<TensorboardTimeSeries> createTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest request)
Creates a TensorboardTimeSeries.
Parameter
Returns
public ListenableFuture<Operation> deleteTensorboard(DeleteTensorboardRequest request)
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<Operation> | |
public ListenableFuture<Operation> deleteTensorboardExperiment(DeleteTensorboardExperimentRequest request)
Deletes a TensorboardExperiment.
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<Operation> | |
public ListenableFuture<Operation> deleteTensorboardRun(DeleteTensorboardRunRequest request)
Deletes a TensorboardRun.
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<Operation> | |
public ListenableFuture<Operation> deleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest request)
Deletes a TensorboardTimeSeries.
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<Operation> | |
public ListenableFuture<ExportTensorboardTimeSeriesDataResponse> exportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest request)
Exports a TensorboardTimeSeries' data. Data is returned in paginated
responses.
Parameter
Returns
public ListenableFuture<Tensorboard> getTensorboard(GetTensorboardRequest request)
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<Tensorboard> | |
public ListenableFuture<TensorboardExperiment> getTensorboardExperiment(GetTensorboardExperimentRequest request)
Gets a TensorboardExperiment.
Parameter
Returns
public ListenableFuture<TensorboardRun> getTensorboardRun(GetTensorboardRunRequest request)
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<TensorboardRun> | |
public ListenableFuture<TensorboardTimeSeries> getTensorboardTimeSeries(GetTensorboardTimeSeriesRequest request)
Gets a TensorboardTimeSeries.
Parameter
Returns
public ListenableFuture<ListTensorboardExperimentsResponse> listTensorboardExperiments(ListTensorboardExperimentsRequest request)
Lists TensorboardExperiments in a Location.
Parameter
Returns
public ListenableFuture<ListTensorboardRunsResponse> listTensorboardRuns(ListTensorboardRunsRequest request)
Lists TensorboardRuns in a Location.
Parameter
Returns
public ListenableFuture<ListTensorboardTimeSeriesResponse> listTensorboardTimeSeries(ListTensorboardTimeSeriesRequest request)
Lists TensorboardTimeSeries in a Location.
Parameter
Returns
public ListenableFuture<ListTensorboardsResponse> listTensorboards(ListTensorboardsRequest request)
Lists Tensorboards in a Location.
Parameter
Returns
public ListenableFuture<ReadTensorboardTimeSeriesDataResponse> readTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest request)
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.
Parameter
Returns
public ListenableFuture<Operation> updateTensorboard(UpdateTensorboardRequest request)
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<Operation> | |
public ListenableFuture<TensorboardExperiment> updateTensorboardExperiment(UpdateTensorboardExperimentRequest request)
Updates a TensorboardExperiment.
Parameter
Returns
public ListenableFuture<TensorboardRun> updateTensorboardRun(UpdateTensorboardRunRequest request)
Updates a TensorboardRun.
Parameter
Returns
Type | Description |
com.google.common.util.concurrent.ListenableFuture<TensorboardRun> | |
public ListenableFuture<TensorboardTimeSeries> updateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest request)
Updates a TensorboardTimeSeries.
Parameter
Returns
public ListenableFuture<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 will be
returned.
Parameter
Returns
public ListenableFuture<WriteTensorboardRunDataResponse> writeTensorboardRunData(WriteTensorboardRunDataRequest request)
Write time series data points into multiple TensorboardTimeSeries under
a TensorboardRun. If any data fail to be ingested, an error will be
returned.
Parameter
Returns