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

Version 2.12.0

• 3.9.0 (latest)
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.0
• 3.3.0
• 3.2.0
• 3.1.0
• 3.0.0
• 2.28.0
• 2.27.0
• 2.26.0
• 2.25.0
• 2.24.0
• 2.23.0
• 2.22.0
• 2.21.0
• 2.20.0
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.0
• 2.15.0
• 2.14.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.9.0
• 2.8.0
• 2.7.0
• 2.6.0
• 2.5.0
• 2.4.0
• 2.3.0
• 2.2.0
• 2.1.0
• 2.0.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0

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

Inherited Members

ClientBase<TensorboardService.TensorboardServiceClient>.WithHost(string)

ClientBase.CallInvoker

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ToString()

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
Name	Description
callInvoker	CallInvoker The callInvoker to use to make remote calls.

TensorboardServiceClient(ChannelBase)

public TensorboardServiceClient(ChannelBase channel)

Creates a new client for TensorboardService

Parameter
Name	Description
channel	ChannelBase The channel to use to make remote calls.

TensorboardServiceClient(ClientBaseConfiguration)

protected TensorboardServiceClient(ClientBase.ClientBaseConfiguration configuration)

Protected constructor to allow creation of configured clients.

Parameter
Name	Description
configuration	ClientBaseClientBaseConfiguration The client configuration.

Methods

BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest, CallOptions)

public virtual BatchCreateTensorboardRunsResponse BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest request, CallOptions options)

Batch create TensorboardRuns.

Parameters
Name	Description
request	BatchCreateTensorboardRunsRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
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
Name	Description
request	BatchCreateTensorboardRunsRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	DateTime An optional deadline for the call. The call will be cancelled if deadline is hit.
cancellationToken	CancellationToken An optional token for canceling the call.

Returns
Type	Description
BatchCreateTensorboardRunsResponse	The response received from the server.

BatchCreateTensorboardRunsAsync(BatchCreateTensorboardRunsRequest, CallOptions)

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

Batch create TensorboardRuns.

Parameters
Name	Description
request	BatchCreateTensorboardRunsRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
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
Name	Description
request	BatchCreateTensorboardRunsRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	DateTime An optional deadline for the call. The call will be cancelled if deadline is hit.
cancellationToken	CancellationToken An optional token for canceling the call.

Returns
Type	Description
AsyncUnaryCallBatchCreateTensorboardRunsResponse	The call object.

BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest, CallOptions)

public virtual BatchCreateTensorboardTimeSeriesResponse BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request, CallOptions options)

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

Parameters
Name	Description
request	BatchCreateTensorboardTimeSeriesRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
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
Name	Description
request	BatchCreateTensorboardTimeSeriesRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	DateTime An optional deadline for the call. The call will be cancelled if deadline is hit.
cancellationToken	CancellationToken An optional token for canceling the call.

Returns
Type	Description
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
Name	Description
request	BatchCreateTensorboardTimeSeriesRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
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
Name	Description
request	BatchCreateTensorboardTimeSeriesRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	DateTime An optional deadline for the call. The call will be cancelled if deadline is hit.
cancellationToken	CancellationToken An optional token for canceling the call.

Returns
Type	Description
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
Name	Description
request	BatchReadTensorboardTimeSeriesDataRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
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
Name	Description
request	BatchReadTensorboardTimeSeriesDataRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	DateTime An optional deadline for the call. The call will be cancelled if deadline is hit.
cancellationToken	CancellationToken An optional token for canceling the call.

Returns
Type	Description
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
Name	Description
request	BatchReadTensorboardTimeSeriesDataRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
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
Name	Description
request	BatchReadTensorboardTimeSeriesDataRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	DateTime An optional deadline for the call. The call will be cancelled if deadline is hit.
cancellationToken	CancellationToken An optional token for canceling the call.

Returns
Type	Description
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
Type	Description
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
Type	Description
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
Type	Description
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
Name	Description
request	CreateTensorboardRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
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
Name	Description
request	CreateTensorboardRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	DateTime An optional deadline for the call. The call will be cancelled if deadline is hit.