Cloud AI Platform v1 API - Class TensorboardService.TensorboardServiceClient (2.12.0)

public class TensorboardService.TensorboardServiceClient : ClientBase<TensorboardService.TensorboardServiceClient>

Reference documentation and code samples for the Cloud AI Platform v1 API class TensorboardService.TensorboardServiceClient.

Client for TensorboardService

Inheritance

object > ClientBase > ClientBaseTensorboardServiceTensorboardServiceClient > TensorboardService.TensorboardServiceClient

Namespace

GoogleCloudGoogle.Cloud.AIPlatformV1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

TensorboardServiceClient()

protected TensorboardServiceClient()

Protected parameterless constructor to allow creation of test doubles.

TensorboardServiceClient(CallInvoker)

public TensorboardServiceClient(CallInvoker callInvoker)

Creates a new client for TensorboardService that uses a custom CallInvoker.

Parameter
NameDescription
callInvokerCallInvoker

The callInvoker to use to make remote calls.

TensorboardServiceClient(ChannelBase)

public TensorboardServiceClient(ChannelBase channel)

Creates a new client for TensorboardService

Parameter
NameDescription
channelChannelBase

The channel to use to make remote calls.

TensorboardServiceClient(ClientBaseConfiguration)

protected TensorboardServiceClient(ClientBase.ClientBaseConfiguration configuration)

Protected constructor to allow creation of configured clients.

Parameter
NameDescription
configurationClientBaseClientBaseConfiguration

The client configuration.

Methods

BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest, CallOptions)

public virtual BatchCreateTensorboardRunsResponse BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest request, CallOptions options)

Batch create TensorboardRuns.

Parameters
NameDescription
requestBatchCreateTensorboardRunsRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
BatchCreateTensorboardRunsResponse

The response received from the server.

BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest, Metadata, DateTime?, CancellationToken)

public virtual BatchCreateTensorboardRunsResponse BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Batch create TensorboardRuns.

Parameters
NameDescription
requestBatchCreateTensorboardRunsRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineDateTime

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
BatchCreateTensorboardRunsResponse

The response received from the server.

BatchCreateTensorboardRunsAsync(BatchCreateTensorboardRunsRequest, CallOptions)

public virtual AsyncUnaryCall<BatchCreateTensorboardRunsResponse> BatchCreateTensorboardRunsAsync(BatchCreateTensorboardRunsRequest request, CallOptions options)

Batch create TensorboardRuns.

Parameters
NameDescription
requestBatchCreateTensorboardRunsRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
AsyncUnaryCallBatchCreateTensorboardRunsResponse

The call object.

BatchCreateTensorboardRunsAsync(BatchCreateTensorboardRunsRequest, Metadata, DateTime?, CancellationToken)

public virtual AsyncUnaryCall<BatchCreateTensorboardRunsResponse> BatchCreateTensorboardRunsAsync(BatchCreateTensorboardRunsRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Batch create TensorboardRuns.

Parameters
NameDescription
requestBatchCreateTensorboardRunsRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineDateTime

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
AsyncUnaryCallBatchCreateTensorboardRunsResponse

The call object.

BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest, CallOptions)

public virtual BatchCreateTensorboardTimeSeriesResponse BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request, CallOptions options)

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

Parameters
NameDescription
requestBatchCreateTensorboardTimeSeriesRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
BatchCreateTensorboardTimeSeriesResponse

The response received from the server.

BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest, Metadata, DateTime?, CancellationToken)

public virtual BatchCreateTensorboardTimeSeriesResponse BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

Parameters
NameDescription
requestBatchCreateTensorboardTimeSeriesRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineDateTime

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
BatchCreateTensorboardTimeSeriesResponse

The response received from the server.

BatchCreateTensorboardTimeSeriesAsync(BatchCreateTensorboardTimeSeriesRequest, CallOptions)

public virtual AsyncUnaryCall<BatchCreateTensorboardTimeSeriesResponse> BatchCreateTensorboardTimeSeriesAsync(BatchCreateTensorboardTimeSeriesRequest request, CallOptions options)

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

Parameters
NameDescription
requestBatchCreateTensorboardTimeSeriesRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
AsyncUnaryCallBatchCreateTensorboardTimeSeriesResponse

The call object.

BatchCreateTensorboardTimeSeriesAsync(BatchCreateTensorboardTimeSeriesRequest, Metadata, DateTime?, CancellationToken)

public virtual AsyncUnaryCall<BatchCreateTensorboardTimeSeriesResponse> BatchCreateTensorboardTimeSeriesAsync(BatchCreateTensorboardTimeSeriesRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

Parameters
NameDescription
requestBatchCreateTensorboardTimeSeriesRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineDateTime

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
AsyncUnaryCallBatchCreateTensorboardTimeSeriesResponse

The call object.

BatchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest, CallOptions)

public virtual BatchReadTensorboardTimeSeriesDataResponse BatchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest request, CallOptions options)

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.

Parameters
NameDescription
requestBatchReadTensorboardTimeSeriesDataRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
BatchReadTensorboardTimeSeriesDataResponse

The response received from the server.

BatchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest, Metadata, DateTime?, CancellationToken)

public virtual BatchReadTensorboardTimeSeriesDataResponse BatchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

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.

Parameters
NameDescription
requestBatchReadTensorboardTimeSeriesDataRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineDateTime

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
BatchReadTensorboardTimeSeriesDataResponse

The response received from the server.

BatchReadTensorboardTimeSeriesDataAsync(BatchReadTensorboardTimeSeriesDataRequest, CallOptions)

public virtual AsyncUnaryCall<BatchReadTensorboardTimeSeriesDataResponse> BatchReadTensorboardTimeSeriesDataAsync(BatchReadTensorboardTimeSeriesDataRequest request, CallOptions options)

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.

Parameters
NameDescription
requestBatchReadTensorboardTimeSeriesDataRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
AsyncUnaryCallBatchReadTensorboardTimeSeriesDataResponse

The call object.

BatchReadTensorboardTimeSeriesDataAsync(BatchReadTensorboardTimeSeriesDataRequest, Metadata, DateTime?, CancellationToken)

public virtual AsyncUnaryCall<BatchReadTensorboardTimeSeriesDataResponse> BatchReadTensorboardTimeSeriesDataAsync(BatchReadTensorboardTimeSeriesDataRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

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.

Parameters
NameDescription
requestBatchReadTensorboardTimeSeriesDataRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineDateTime

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
AsyncUnaryCallBatchReadTensorboardTimeSeriesDataResponse

The call object.

CreateIAMPolicyClient()

public virtual IAMPolicy.IAMPolicyClient CreateIAMPolicyClient()

Creates a new instance of IAMPolicy.IAMPolicyClient using the same call invoker as this client.

Returns
TypeDescription
IAMPolicyIAMPolicyClient

A new IAMPolicy.IAMPolicyClient for the same target as this client.

CreateLocationsClient()

public virtual Locations.LocationsClient CreateLocationsClient()

Creates a new instance of Locations.LocationsClient using the same call invoker as this client.

Returns
TypeDescription
LocationsLocationsClient

A new Locations.LocationsClient for the same target as this client.

CreateOperationsClient()

public virtual Operations.OperationsClient CreateOperationsClient()

Creates a new instance of Operations.OperationsClient using the same call invoker as this client.

Returns
TypeDescription
OperationsOperationsClient

A new Operations client for the same target as this client.

CreateTensorboard(CreateTensorboardRequest, CallOptions)

public virtual Operation CreateTensorboard(CreateTensorboardRequest request, CallOptions options)

Creates a Tensorboard.

Parameters
NameDescription
requestCreateTensorboardRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
Operation

The response received from the server.

CreateTensorboard(CreateTensorboardRequest, Metadata, DateTime?, CancellationToken)

public virtual Operation CreateTensorboard(CreateTensorboardRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Creates a Tensorboard.

Parameters
NameDescription
requestCreateTensorboardRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineDateTime

An optional deadline for the call. The call will be cancelled if deadline is hit.