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public class TensorboardServiceClient implements BackgroundResource
Service Description: TensorboardService
This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardName name = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
Tensorboard response = tensorboardServiceClient.getTensorboard(name);
}
Note: close() needs to be called on the TensorboardServiceClient object to clean up resources such as threads. In the example above, try-with-resources is used, which automatically calls close().
The surface of this class includes several types of Java methods for each of the API's methods:
- A "flattened" method. With this type of method, the fields of the request type have been converted into function parameters. It may be the case that not all fields are available as parameters, and not every API method will have a flattened method entry point.
- A "request object" method. This type of method only takes one parameter, a request object, which must be constructed before the call. Not every API method will have a request object method.
- A "callable" method. This type of method takes no parameters and returns an immutable API callable object, which can be used to initiate calls to the service.
See the individual methods for example code.
Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parse method to extract the individual identifiers contained within names that are returned.
This class can be customized by passing in a custom instance of TensorboardServiceSettings to create(). For example:
To customize credentials:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
TensorboardServiceSettings tensorboardServiceSettings =
TensorboardServiceSettings.newBuilder()
.setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
.build();
TensorboardServiceClient tensorboardServiceClient =
TensorboardServiceClient.create(tensorboardServiceSettings);
To customize the endpoint:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
TensorboardServiceSettings tensorboardServiceSettings =
TensorboardServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
TensorboardServiceClient tensorboardServiceClient =
TensorboardServiceClient.create(tensorboardServiceSettings);
Please refer to the GitHub repository's samples for more quickstart code snippets.
Implements
BackgroundResourceStatic Methods
create()
public static final TensorboardServiceClient create()
Constructs an instance of TensorboardServiceClient with default settings.
Returns | |
---|---|
Type | Description |
TensorboardServiceClient |
Exceptions | |
---|---|
Type | Description |
IOException |
create(TensorboardServiceSettings settings)
public static final TensorboardServiceClient create(TensorboardServiceSettings settings)
Constructs an instance of TensorboardServiceClient, using the given settings. The channels are created based on the settings passed in, or defaults for any settings that are not set.
Parameter | |
---|---|
Name | Description |
settings | TensorboardServiceSettings |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient |
Exceptions | |
---|---|
Type | Description |
IOException |
create(TensorboardServiceStub stub)
public static final TensorboardServiceClient create(TensorboardServiceStub stub)
Constructs an instance of TensorboardServiceClient, using the given stub for making calls. This is for advanced usage - prefer using create(TensorboardServiceSettings).
Parameter | |
---|---|
Name | Description |
stub | TensorboardServiceStub |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient |
Constructors
TensorboardServiceClient(TensorboardServiceSettings settings)
protected TensorboardServiceClient(TensorboardServiceSettings settings)
Constructs an instance of TensorboardServiceClient, using the given settings. This is protected so that it is easy to make a subclass, but otherwise, the static factory methods should be preferred.
Parameter | |
---|---|
Name | Description |
settings | TensorboardServiceSettings |
TensorboardServiceClient(TensorboardServiceStub stub)
protected TensorboardServiceClient(TensorboardServiceStub stub)
Parameter | |
---|---|
Name | Description |
stub | TensorboardServiceStub |
Methods
awaitTermination(long duration, TimeUnit unit)
public boolean awaitTermination(long duration, TimeUnit unit)
Parameters | |
---|---|
Name | Description |
duration | long |
unit | TimeUnit |
Returns | |
---|---|
Type | Description |
boolean |
Exceptions | |
---|---|
Type | Description |
InterruptedException |
batchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest request)
public final BatchCreateTensorboardRunsResponse batchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest request)
Batch create TensorboardRuns.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
BatchCreateTensorboardRunsRequest request =
BatchCreateTensorboardRunsRequest.newBuilder()
.setParent(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.addAllRequests(new ArrayList<CreateTensorboardRunRequest>())
.build();
BatchCreateTensorboardRunsResponse response =
tensorboardServiceClient.batchCreateTensorboardRuns(request);
}
Parameter | |
---|---|
Name | Description |
request | BatchCreateTensorboardRunsRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
BatchCreateTensorboardRunsResponse |
batchCreateTensorboardRuns(TensorboardExperimentName parent, List<CreateTensorboardRunRequest> requests)
public final BatchCreateTensorboardRunsResponse batchCreateTensorboardRuns(TensorboardExperimentName parent, List<CreateTensorboardRunRequest> requests)
Batch create TensorboardRuns.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardExperimentName parent =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]");
List<CreateTensorboardRunRequest> requests = new ArrayList<>();
BatchCreateTensorboardRunsResponse response =
tensorboardServiceClient.batchCreateTensorboardRuns(parent, requests);
}
Parameters | |
---|---|
Name | Description |
parent | TensorboardExperimentName Required. The resource name of the TensorboardExperiment to create the
TensorboardRuns in. Format:
|
requests | List<CreateTensorboardRunRequest> Required. The request message specifying the TensorboardRuns to create. A maximum of 1000 TensorboardRuns can be created in a batch. |
Returns | |
---|---|
Type | Description |
BatchCreateTensorboardRunsResponse |
batchCreateTensorboardRuns(String parent, List<CreateTensorboardRunRequest> requests)
public final BatchCreateTensorboardRunsResponse batchCreateTensorboardRuns(String parent, List<CreateTensorboardRunRequest> requests)
Batch create TensorboardRuns.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString();
List<CreateTensorboardRunRequest> requests = new ArrayList<>();
BatchCreateTensorboardRunsResponse response =
tensorboardServiceClient.batchCreateTensorboardRuns(parent, requests);
}
Parameters | |
---|---|
Name | Description |
parent | String Required. The resource name of the TensorboardExperiment to create the
TensorboardRuns in. Format:
|
requests | List<CreateTensorboardRunRequest> Required. The request message specifying the TensorboardRuns to create. A maximum of 1000 TensorboardRuns can be created in a batch. |
Returns | |
---|---|
Type | Description |
BatchCreateTensorboardRunsResponse |
batchCreateTensorboardRunsCallable()
public final UnaryCallable<BatchCreateTensorboardRunsRequest,BatchCreateTensorboardRunsResponse> batchCreateTensorboardRunsCallable()
Batch create TensorboardRuns.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
BatchCreateTensorboardRunsRequest request =
BatchCreateTensorboardRunsRequest.newBuilder()
.setParent(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.addAllRequests(new ArrayList<CreateTensorboardRunRequest>())
.build();
ApiFuture<BatchCreateTensorboardRunsResponse> future =
tensorboardServiceClient.batchCreateTensorboardRunsCallable().futureCall(request);
// Do something.
BatchCreateTensorboardRunsResponse response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<BatchCreateTensorboardRunsRequest,BatchCreateTensorboardRunsResponse> |
batchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request)
public final BatchCreateTensorboardTimeSeriesResponse batchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest request)
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
BatchCreateTensorboardTimeSeriesRequest request =
BatchCreateTensorboardTimeSeriesRequest.newBuilder()
.setParent(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.addAllRequests(new ArrayList<CreateTensorboardTimeSeriesRequest>())
.build();
BatchCreateTensorboardTimeSeriesResponse response =
tensorboardServiceClient.batchCreateTensorboardTimeSeries(request);
}
Parameter | |
---|---|
Name | Description |
request | BatchCreateTensorboardTimeSeriesRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
BatchCreateTensorboardTimeSeriesResponse |
batchCreateTensorboardTimeSeries(TensorboardExperimentName parent, List<CreateTensorboardTimeSeriesRequest> requests)
public final BatchCreateTensorboardTimeSeriesResponse batchCreateTensorboardTimeSeries(TensorboardExperimentName parent, List<CreateTensorboardTimeSeriesRequest> requests)
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardExperimentName parent =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]");
List<CreateTensorboardTimeSeriesRequest> requests = new ArrayList<>();
BatchCreateTensorboardTimeSeriesResponse response =
tensorboardServiceClient.batchCreateTensorboardTimeSeries(parent, requests);
}
Parameters | |
---|---|
Name | Description |
parent | TensorboardExperimentName Required. The resource name of the TensorboardExperiment to create the
TensorboardTimeSeries in. Format:
|
requests | List<CreateTensorboardTimeSeriesRequest> Required. The request message specifying the TensorboardTimeSeries to create. A maximum of 1000 TensorboardTimeSeries can be created in a batch. |
Returns | |
---|---|
Type | Description |
BatchCreateTensorboardTimeSeriesResponse |
batchCreateTensorboardTimeSeries(String parent, List<CreateTensorboardTimeSeriesRequest> requests)
public final BatchCreateTensorboardTimeSeriesResponse batchCreateTensorboardTimeSeries(String parent, List<CreateTensorboardTimeSeriesRequest> requests)
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString();
List<CreateTensorboardTimeSeriesRequest> requests = new ArrayList<>();
BatchCreateTensorboardTimeSeriesResponse response =
tensorboardServiceClient.batchCreateTensorboardTimeSeries(parent, requests);
}
Parameters | |
---|---|
Name | Description |
parent | String Required. The resource name of the TensorboardExperiment to create the
TensorboardTimeSeries in. Format:
|
requests | List<CreateTensorboardTimeSeriesRequest> Required. The request message specifying the TensorboardTimeSeries to create. A maximum of 1000 TensorboardTimeSeries can be created in a batch. |
Returns | |
---|---|
Type | Description |
BatchCreateTensorboardTimeSeriesResponse |
batchCreateTensorboardTimeSeriesCallable()
public final UnaryCallable<BatchCreateTensorboardTimeSeriesRequest,BatchCreateTensorboardTimeSeriesResponse> batchCreateTensorboardTimeSeriesCallable()
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
BatchCreateTensorboardTimeSeriesRequest request =
BatchCreateTensorboardTimeSeriesRequest.newBuilder()
.setParent(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.addAllRequests(new ArrayList<CreateTensorboardTimeSeriesRequest>())
.build();
ApiFuture<BatchCreateTensorboardTimeSeriesResponse> future =
tensorboardServiceClient.batchCreateTensorboardTimeSeriesCallable().futureCall(request);
// Do something.
BatchCreateTensorboardTimeSeriesResponse response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<BatchCreateTensorboardTimeSeriesRequest,BatchCreateTensorboardTimeSeriesResponse> |
batchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest request)
public final 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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
BatchReadTensorboardTimeSeriesDataRequest request =
BatchReadTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboard(
TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.addAllTimeSeries(new ArrayList<String>())
.build();
BatchReadTensorboardTimeSeriesDataResponse response =
tensorboardServiceClient.batchReadTensorboardTimeSeriesData(request);
}
Parameter | |
---|---|
Name | Description |
request | BatchReadTensorboardTimeSeriesDataRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
BatchReadTensorboardTimeSeriesDataResponse |
batchReadTensorboardTimeSeriesData(TensorboardName tensorboard)
public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTimeSeriesData(TensorboardName tensorboard)
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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardName tensorboard = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
BatchReadTensorboardTimeSeriesDataResponse response =
tensorboardServiceClient.batchReadTensorboardTimeSeriesData(tensorboard);
}
Parameter | |
---|---|
Name | Description |
tensorboard | TensorboardName Required. The resource name of the Tensorboard containing
TensorboardTimeSeries to read data from. Format:
|
Returns | |
---|---|
Type | Description |
BatchReadTensorboardTimeSeriesDataResponse |
batchReadTensorboardTimeSeriesData(String tensorboard)
public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTimeSeriesData(String tensorboard)
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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String tensorboard =
TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString();
BatchReadTensorboardTimeSeriesDataResponse response =
tensorboardServiceClient.batchReadTensorboardTimeSeriesData(tensorboard);
}
Parameter | |
---|---|
Name | Description |
tensorboard | String Required. The resource name of the Tensorboard containing
TensorboardTimeSeries to read data from. Format:
|
Returns | |
---|---|
Type | Description |
BatchReadTensorboardTimeSeriesDataResponse |
batchReadTensorboardTimeSeriesDataCallable()
public final UnaryCallable<BatchReadTensorboardTimeSeriesDataRequest,BatchReadTensorboardTimeSeriesDataResponse> batchReadTensorboardTimeSeriesDataCallable()
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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
BatchReadTensorboardTimeSeriesDataRequest request =
BatchReadTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboard(
TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.addAllTimeSeries(new ArrayList<String>())
.build();
ApiFuture<BatchReadTensorboardTimeSeriesDataResponse> future =
tensorboardServiceClient.batchReadTensorboardTimeSeriesDataCallable().futureCall(request);
// Do something.
BatchReadTensorboardTimeSeriesDataResponse response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<BatchReadTensorboardTimeSeriesDataRequest,BatchReadTensorboardTimeSeriesDataResponse> |
close()
public final void close()
createTensorboardAsync(CreateTensorboardRequest request)
public final OperationFuture<Tensorboard,CreateTensorboardOperationMetadata> createTensorboardAsync(CreateTensorboardRequest request)
Creates a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
CreateTensorboardRequest request =
CreateTensorboardRequest.newBuilder()
.setParent(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.setTensorboard(Tensorboard.newBuilder().build())
.build();
Tensorboard response = tensorboardServiceClient.createTensorboardAsync(request).get();
}
Parameter | |
---|---|
Name | Description |
request | CreateTensorboardRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
OperationFuture<Tensorboard,CreateTensorboardOperationMetadata> |
createTensorboardAsync(TensorboardName parent, Tensorboard tensorboard)
public final OperationFuture<Tensorboard,CreateTensorboardOperationMetadata> createTensorboardAsync(TensorboardName parent, Tensorboard tensorboard)
Creates a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardName parent = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
Tensorboard tensorboard = Tensorboard.newBuilder().build();
Tensorboard response =
tensorboardServiceClient.createTensorboardAsync(parent, tensorboard).get();
}
Parameters | |
---|---|
Name | Description |
parent | TensorboardName Required. The resource name of the Location to create the Tensorboard in. Format:
|
tensorboard | Tensorboard Required. The Tensorboard to create. |
Returns | |
---|---|
Type | Description |
OperationFuture<Tensorboard,CreateTensorboardOperationMetadata> |
createTensorboardAsync(String parent, Tensorboard tensorboard)
public final OperationFuture<Tensorboard,CreateTensorboardOperationMetadata> createTensorboardAsync(String parent, Tensorboard tensorboard)
Creates a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString();
Tensorboard tensorboard = Tensorboard.newBuilder().build();
Tensorboard response =
tensorboardServiceClient.createTensorboardAsync(parent, tensorboard).get();
}
Parameters | |
---|---|
Name | Description |
parent | String Required. The resource name of the Location to create the Tensorboard in. Format:
|
tensorboard | Tensorboard Required. The Tensorboard to create. |
Returns | |
---|---|
Type | Description |
OperationFuture<Tensorboard,CreateTensorboardOperationMetadata> |
createTensorboardCallable()
public final UnaryCallable<CreateTensorboardRequest,Operation> createTensorboardCallable()
Creates a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
CreateTensorboardRequest request =
CreateTensorboardRequest.newBuilder()
.setParent(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.setTensorboard(Tensorboard.newBuilder().build())
.build();
ApiFuture<Operation> future =
tensorboardServiceClient.createTensorboardCallable().futureCall(request);
// Do something.
Operation response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<CreateTensorboardRequest,Operation> |
createTensorboardExperiment(CreateTensorboardExperimentRequest request)
public final TensorboardExperiment createTensorboardExperiment(CreateTensorboardExperimentRequest request)
Creates a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
CreateTensorboardExperimentRequest request =
CreateTensorboardExperimentRequest.newBuilder()
.setParent(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.setTensorboardExperiment(TensorboardExperiment.newBuilder().build())
.setTensorboardExperimentId("tensorboardExperimentId1267328197")
.build();
TensorboardExperiment response =
tensorboardServiceClient.createTensorboardExperiment(request);
}
Parameter | |
---|---|
Name | Description |
request | CreateTensorboardExperimentRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardExperiment |
createTensorboardExperiment(TensorboardExperimentName parent, TensorboardExperiment tensorboardExperiment, String tensorboardExperimentId)
public final TensorboardExperiment createTensorboardExperiment(TensorboardExperimentName parent, TensorboardExperiment tensorboardExperiment, String tensorboardExperimentId)
Creates a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardExperimentName parent =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]");
TensorboardExperiment tensorboardExperiment = TensorboardExperiment.newBuilder().build();
String tensorboardExperimentId = "tensorboardExperimentId1267328197";
TensorboardExperiment response =
tensorboardServiceClient.createTensorboardExperiment(
parent, tensorboardExperiment, tensorboardExperimentId);
}
Parameters | |
---|---|
Name | Description |
parent | TensorboardExperimentName Required. The resource name of the Tensorboard to create the
TensorboardExperiment in. Format:
|
tensorboardExperiment | TensorboardExperiment The TensorboardExperiment to create. |
tensorboardExperimentId | String Required. The ID to use for the Tensorboard experiment, which becomes the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are /a-z-/. |
Returns | |
---|---|
Type | Description |
TensorboardExperiment |
createTensorboardExperiment(String parent, TensorboardExperiment tensorboardExperiment, String tensorboardExperimentId)
public final TensorboardExperiment createTensorboardExperiment(String parent, TensorboardExperiment tensorboardExperiment, String tensorboardExperimentId)
Creates a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString();
TensorboardExperiment tensorboardExperiment = TensorboardExperiment.newBuilder().build();
String tensorboardExperimentId = "tensorboardExperimentId1267328197";
TensorboardExperiment response =
tensorboardServiceClient.createTensorboardExperiment(
parent, tensorboardExperiment, tensorboardExperimentId);
}
Parameters | |
---|---|
Name | Description |
parent | String Required. The resource name of the Tensorboard to create the
TensorboardExperiment in. Format:
|
tensorboardExperiment | TensorboardExperiment The TensorboardExperiment to create. |
tensorboardExperimentId | String Required. The ID to use for the Tensorboard experiment, which becomes the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are /a-z-/. |
Returns | |
---|---|
Type | Description |
TensorboardExperiment |
createTensorboardExperimentCallable()
public final UnaryCallable<CreateTensorboardExperimentRequest,TensorboardExperiment> createTensorboardExperimentCallable()
Creates a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
CreateTensorboardExperimentRequest request =
CreateTensorboardExperimentRequest.newBuilder()
.setParent(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.setTensorboardExperiment(TensorboardExperiment.newBuilder().build())
.setTensorboardExperimentId("tensorboardExperimentId1267328197")
.build();
ApiFuture<TensorboardExperiment> future =
tensorboardServiceClient.createTensorboardExperimentCallable().futureCall(request);
// Do something.
TensorboardExperiment response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<CreateTensorboardExperimentRequest,TensorboardExperiment> |
createTensorboardOperationCallable()
public final OperationCallable<CreateTensorboardRequest,Tensorboard,CreateTensorboardOperationMetadata> createTensorboardOperationCallable()
Creates a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
CreateTensorboardRequest request =
CreateTensorboardRequest.newBuilder()
.setParent(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.setTensorboard(Tensorboard.newBuilder().build())
.build();
OperationFuture<Tensorboard, CreateTensorboardOperationMetadata> future =
tensorboardServiceClient.createTensorboardOperationCallable().futureCall(request);
// Do something.
Tensorboard response = future.get();
}
Returns | |
---|---|
Type | Description |
OperationCallable<CreateTensorboardRequest,Tensorboard,CreateTensorboardOperationMetadata> |
createTensorboardRun(CreateTensorboardRunRequest request)
public final TensorboardRun createTensorboardRun(CreateTensorboardRunRequest request)
Creates a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
CreateTensorboardRunRequest request =
CreateTensorboardRunRequest.newBuilder()
.setParent(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.setTensorboardRun(TensorboardRun.newBuilder().build())
.setTensorboardRunId("tensorboardRunId-407822631")
.build();
TensorboardRun response = tensorboardServiceClient.createTensorboardRun(request);
}
Parameter | |
---|---|
Name | Description |
request | CreateTensorboardRunRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardRun |
createTensorboardRun(TensorboardRunName parent, TensorboardRun tensorboardRun, String tensorboardRunId)
public final TensorboardRun createTensorboardRun(TensorboardRunName parent, TensorboardRun tensorboardRun, String tensorboardRunId)
Creates a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardRunName parent =
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]");
TensorboardRun tensorboardRun = TensorboardRun.newBuilder().build();
String tensorboardRunId = "tensorboardRunId-407822631";
TensorboardRun response =
tensorboardServiceClient.createTensorboardRun(parent, tensorboardRun, tensorboardRunId);
}
Parameters | |
---|---|
Name | Description |
parent | TensorboardRunName Required. The resource name of the TensorboardExperiment to create the
TensorboardRun in. Format:
|
tensorboardRun | TensorboardRun Required. The TensorboardRun to create. |
tensorboardRunId | String Required. The ID to use for the Tensorboard run, which becomes the final component of the Tensorboard run's resource name. This value should be 1-128 characters, and valid characters are /a-z-/. |
Returns | |
---|---|
Type | Description |
TensorboardRun |
createTensorboardRun(String parent, TensorboardRun tensorboardRun, String tensorboardRunId)
public final TensorboardRun createTensorboardRun(String parent, TensorboardRun tensorboardRun, String tensorboardRunId)
Creates a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent =
TensorboardRunName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString();
TensorboardRun tensorboardRun = TensorboardRun.newBuilder().build();
String tensorboardRunId = "tensorboardRunId-407822631";
TensorboardRun response =
tensorboardServiceClient.createTensorboardRun(parent, tensorboardRun, tensorboardRunId);
}
Parameters | |
---|---|
Name | Description |
parent | String Required. The resource name of the TensorboardExperiment to create the
TensorboardRun in. Format:
|
tensorboardRun | TensorboardRun Required. The TensorboardRun to create. |
tensorboardRunId | String Required. The ID to use for the Tensorboard run, which becomes the final component of the Tensorboard run's resource name. This value should be 1-128 characters, and valid characters are /a-z-/. |
Returns | |
---|---|
Type | Description |
TensorboardRun |
createTensorboardRunCallable()
public final UnaryCallable<CreateTensorboardRunRequest,TensorboardRun> createTensorboardRunCallable()
Creates a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
CreateTensorboardRunRequest request =
CreateTensorboardRunRequest.newBuilder()
.setParent(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.setTensorboardRun(TensorboardRun.newBuilder().build())
.setTensorboardRunId("tensorboardRunId-407822631")
.build();
ApiFuture<TensorboardRun> future =
tensorboardServiceClient.createTensorboardRunCallable().futureCall(request);
// Do something.
TensorboardRun response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<CreateTensorboardRunRequest,TensorboardRun> |
createTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest request)
public final TensorboardTimeSeries createTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest request)
Creates a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
CreateTensorboardTimeSeriesRequest request =
CreateTensorboardTimeSeriesRequest.newBuilder()
.setParent(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.setTensorboardTimeSeriesId("tensorboardTimeSeriesId-913380692")
.setTensorboardTimeSeries(TensorboardTimeSeries.newBuilder().build())
.build();
TensorboardTimeSeries response =
tensorboardServiceClient.createTensorboardTimeSeries(request);
}
Parameter | |
---|---|
Name | Description |
request | CreateTensorboardTimeSeriesRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardTimeSeries |
createTensorboardTimeSeries(TensorboardTimeSeriesName parent, TensorboardTimeSeries tensorboardTimeSeries)
public final TensorboardTimeSeries createTensorboardTimeSeries(TensorboardTimeSeriesName parent, TensorboardTimeSeries tensorboardTimeSeries)
Creates a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardTimeSeriesName parent =
TensorboardTimeSeriesName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]", "[TIME_SERIES]");
TensorboardTimeSeries tensorboardTimeSeries = TensorboardTimeSeries.newBuilder().build();
TensorboardTimeSeries response =
tensorboardServiceClient.createTensorboardTimeSeries(parent, tensorboardTimeSeries);
}
Parameters | |
---|---|
Name | Description |
parent | TensorboardTimeSeriesName Required. The resource name of the TensorboardRun to create the
TensorboardTimeSeries in. Format:
|
tensorboardTimeSeries | TensorboardTimeSeries Required. The TensorboardTimeSeries to create. |
Returns | |
---|---|
Type | Description |
TensorboardTimeSeries |
createTensorboardTimeSeries(String parent, TensorboardTimeSeries tensorboardTimeSeries)
public final TensorboardTimeSeries createTensorboardTimeSeries(String parent, TensorboardTimeSeries tensorboardTimeSeries)
Creates a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent =
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString();
TensorboardTimeSeries tensorboardTimeSeries = TensorboardTimeSeries.newBuilder().build();
TensorboardTimeSeries response =
tensorboardServiceClient.createTensorboardTimeSeries(parent, tensorboardTimeSeries);
}
Parameters | |
---|---|
Name | Description |
parent | String Required. The resource name of the TensorboardRun to create the
TensorboardTimeSeries in. Format:
|
tensorboardTimeSeries | TensorboardTimeSeries Required. The TensorboardTimeSeries to create. |
Returns | |
---|---|
Type | Description |
TensorboardTimeSeries |
createTensorboardTimeSeriesCallable()
public final UnaryCallable<CreateTensorboardTimeSeriesRequest,TensorboardTimeSeries> createTensorboardTimeSeriesCallable()
Creates a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
CreateTensorboardTimeSeriesRequest request =
CreateTensorboardTimeSeriesRequest.newBuilder()
.setParent(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.setTensorboardTimeSeriesId("tensorboardTimeSeriesId-913380692")
.setTensorboardTimeSeries(TensorboardTimeSeries.newBuilder().build())
.build();
ApiFuture<TensorboardTimeSeries> future =
tensorboardServiceClient.createTensorboardTimeSeriesCallable().futureCall(request);
// Do something.
TensorboardTimeSeries response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<CreateTensorboardTimeSeriesRequest,TensorboardTimeSeries> |
deleteTensorboardAsync(DeleteTensorboardRequest request)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardAsync(DeleteTensorboardRequest request)
Deletes a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardRequest request =
DeleteTensorboardRequest.newBuilder()
.setName(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.build();
tensorboardServiceClient.deleteTensorboardAsync(request).get();
}
Parameter | |
---|---|
Name | Description |
request | DeleteTensorboardRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardAsync(TensorboardName name)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardAsync(TensorboardName name)
Deletes a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardName name = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
tensorboardServiceClient.deleteTensorboardAsync(name).get();
}
Parameter | |
---|---|
Name | Description |
name | TensorboardName Required. The name of the Tensorboard to be deleted. Format:
|
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardAsync(String name)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardAsync(String name)
Deletes a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String name = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString();
tensorboardServiceClient.deleteTensorboardAsync(name).get();
}
Parameter | |
---|---|
Name | Description |
name | String Required. The name of the Tensorboard to be deleted. Format:
|
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardCallable()
public final UnaryCallable<DeleteTensorboardRequest,Operation> deleteTensorboardCallable()
Deletes a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardRequest request =
DeleteTensorboardRequest.newBuilder()
.setName(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.build();
ApiFuture<Operation> future =
tensorboardServiceClient.deleteTensorboardCallable().futureCall(request);
// Do something.
future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<DeleteTensorboardRequest,Operation> |
deleteTensorboardExperimentAsync(DeleteTensorboardExperimentRequest request)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardExperimentAsync(DeleteTensorboardExperimentRequest request)
Deletes a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardExperimentRequest request =
DeleteTensorboardExperimentRequest.newBuilder()
.setName(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.build();
tensorboardServiceClient.deleteTensorboardExperimentAsync(request).get();
}
Parameter | |
---|---|
Name | Description |
request | DeleteTensorboardExperimentRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardExperimentAsync(TensorboardExperimentName name)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardExperimentAsync(TensorboardExperimentName name)
Deletes a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardExperimentName name =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]");
tensorboardServiceClient.deleteTensorboardExperimentAsync(name).get();
}
Parameter | |
---|---|
Name | Description |
name | TensorboardExperimentName Required. The name of the TensorboardExperiment to be deleted. Format:
|
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardExperimentAsync(String name)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardExperimentAsync(String name)
Deletes a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String name =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString();
tensorboardServiceClient.deleteTensorboardExperimentAsync(name).get();
}
Parameter | |
---|---|
Name | Description |
name | String Required. The name of the TensorboardExperiment to be deleted. Format:
|
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardExperimentCallable()
public final UnaryCallable<DeleteTensorboardExperimentRequest,Operation> deleteTensorboardExperimentCallable()
Deletes a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardExperimentRequest request =
DeleteTensorboardExperimentRequest.newBuilder()
.setName(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.build();
ApiFuture<Operation> future =
tensorboardServiceClient.deleteTensorboardExperimentCallable().futureCall(request);
// Do something.
future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<DeleteTensorboardExperimentRequest,Operation> |
deleteTensorboardExperimentOperationCallable()
public final OperationCallable<DeleteTensorboardExperimentRequest,Empty,DeleteOperationMetadata> deleteTensorboardExperimentOperationCallable()
Deletes a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardExperimentRequest request =
DeleteTensorboardExperimentRequest.newBuilder()
.setName(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.build();
OperationFuture<Empty, DeleteOperationMetadata> future =
tensorboardServiceClient
.deleteTensorboardExperimentOperationCallable()
.futureCall(request);
// Do something.
future.get();
}
Returns | |
---|---|
Type | Description |
OperationCallable<DeleteTensorboardExperimentRequest,Empty,DeleteOperationMetadata> |
deleteTensorboardOperationCallable()
public final OperationCallable<DeleteTensorboardRequest,Empty,DeleteOperationMetadata> deleteTensorboardOperationCallable()
Deletes a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardRequest request =
DeleteTensorboardRequest.newBuilder()
.setName(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.build();
OperationFuture<Empty, DeleteOperationMetadata> future =
tensorboardServiceClient.deleteTensorboardOperationCallable().futureCall(request);
// Do something.
future.get();
}
Returns | |
---|---|
Type | Description |
OperationCallable<DeleteTensorboardRequest,Empty,DeleteOperationMetadata> |
deleteTensorboardRunAsync(DeleteTensorboardRunRequest request)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardRunAsync(DeleteTensorboardRunRequest request)
Deletes a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardRunRequest request =
DeleteTensorboardRunRequest.newBuilder()
.setName(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.build();
tensorboardServiceClient.deleteTensorboardRunAsync(request).get();
}
Parameter | |
---|---|
Name | Description |
request | DeleteTensorboardRunRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardRunAsync(TensorboardRunName name)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardRunAsync(TensorboardRunName name)
Deletes a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardRunName name =
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]");
tensorboardServiceClient.deleteTensorboardRunAsync(name).get();
}
Parameter | |
---|---|
Name | Description |
name | TensorboardRunName Required. The name of the TensorboardRun to be deleted. Format:
|
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardRunAsync(String name)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardRunAsync(String name)
Deletes a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String name =
TensorboardRunName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString();
tensorboardServiceClient.deleteTensorboardRunAsync(name).get();
}
Parameter | |
---|---|
Name | Description |
name | String Required. The name of the TensorboardRun to be deleted. Format:
|
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardRunCallable()
public final UnaryCallable<DeleteTensorboardRunRequest,Operation> deleteTensorboardRunCallable()
Deletes a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardRunRequest request =
DeleteTensorboardRunRequest.newBuilder()
.setName(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.build();
ApiFuture<Operation> future =
tensorboardServiceClient.deleteTensorboardRunCallable().futureCall(request);
// Do something.
future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<DeleteTensorboardRunRequest,Operation> |
deleteTensorboardRunOperationCallable()
public final OperationCallable<DeleteTensorboardRunRequest,Empty,DeleteOperationMetadata> deleteTensorboardRunOperationCallable()
Deletes a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardRunRequest request =
DeleteTensorboardRunRequest.newBuilder()
.setName(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.build();
OperationFuture<Empty, DeleteOperationMetadata> future =
tensorboardServiceClient.deleteTensorboardRunOperationCallable().futureCall(request);
// Do something.
future.get();
}
Returns | |
---|---|
Type | Description |
OperationCallable<DeleteTensorboardRunRequest,Empty,DeleteOperationMetadata> |
deleteTensorboardTimeSeriesAsync(DeleteTensorboardTimeSeriesRequest request)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardTimeSeriesAsync(DeleteTensorboardTimeSeriesRequest request)
Deletes a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardTimeSeriesRequest request =
DeleteTensorboardTimeSeriesRequest.newBuilder()
.setName(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.build();
tensorboardServiceClient.deleteTensorboardTimeSeriesAsync(request).get();
}
Parameter | |
---|---|
Name | Description |
request | DeleteTensorboardTimeSeriesRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardTimeSeriesAsync(TensorboardTimeSeriesName name)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardTimeSeriesAsync(TensorboardTimeSeriesName name)
Deletes a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardTimeSeriesName name =
TensorboardTimeSeriesName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]", "[TIME_SERIES]");
tensorboardServiceClient.deleteTensorboardTimeSeriesAsync(name).get();
}
Parameter | |
---|---|
Name | Description |
name | TensorboardTimeSeriesName Required. The name of the TensorboardTimeSeries to be deleted. Format:
|
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardTimeSeriesAsync(String name)
public final OperationFuture<Empty,DeleteOperationMetadata> deleteTensorboardTimeSeriesAsync(String name)
Deletes a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String name =
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString();
tensorboardServiceClient.deleteTensorboardTimeSeriesAsync(name).get();
}
Parameter | |
---|---|
Name | Description |
name | String Required. The name of the TensorboardTimeSeries to be deleted. Format:
|
Returns | |
---|---|
Type | Description |
OperationFuture<Empty,DeleteOperationMetadata> |
deleteTensorboardTimeSeriesCallable()
public final UnaryCallable<DeleteTensorboardTimeSeriesRequest,Operation> deleteTensorboardTimeSeriesCallable()
Deletes a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardTimeSeriesRequest request =
DeleteTensorboardTimeSeriesRequest.newBuilder()
.setName(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.build();
ApiFuture<Operation> future =
tensorboardServiceClient.deleteTensorboardTimeSeriesCallable().futureCall(request);
// Do something.
future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<DeleteTensorboardTimeSeriesRequest,Operation> |
deleteTensorboardTimeSeriesOperationCallable()
public final OperationCallable<DeleteTensorboardTimeSeriesRequest,Empty,DeleteOperationMetadata> deleteTensorboardTimeSeriesOperationCallable()
Deletes a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
DeleteTensorboardTimeSeriesRequest request =
DeleteTensorboardTimeSeriesRequest.newBuilder()
.setName(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.build();
OperationFuture<Empty, DeleteOperationMetadata> future =
tensorboardServiceClient
.deleteTensorboardTimeSeriesOperationCallable()
.futureCall(request);
// Do something.
future.get();
}
Returns | |
---|---|
Type | Description |
OperationCallable<DeleteTensorboardTimeSeriesRequest,Empty,DeleteOperationMetadata> |
exportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest request)
public final TensorboardServiceClient.ExportTensorboardTimeSeriesDataPagedResponse exportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest request)
Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ExportTensorboardTimeSeriesDataRequest request =
ExportTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboardTimeSeries(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.build();
for (TimeSeriesDataPoint element :
tensorboardServiceClient.exportTensorboardTimeSeriesData(request).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
request | ExportTensorboardTimeSeriesDataRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ExportTensorboardTimeSeriesDataPagedResponse |
exportTensorboardTimeSeriesData(TensorboardTimeSeriesName tensorboardTimeSeries)
public final TensorboardServiceClient.ExportTensorboardTimeSeriesDataPagedResponse exportTensorboardTimeSeriesData(TensorboardTimeSeriesName tensorboardTimeSeries)
Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardTimeSeriesName tensorboardTimeSeries =
TensorboardTimeSeriesName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]", "[TIME_SERIES]");
for (TimeSeriesDataPoint element :
tensorboardServiceClient
.exportTensorboardTimeSeriesData(tensorboardTimeSeries)
.iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
tensorboardTimeSeries | TensorboardTimeSeriesName Required. The resource name of the TensorboardTimeSeries to export
data from. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ExportTensorboardTimeSeriesDataPagedResponse |
exportTensorboardTimeSeriesData(String tensorboardTimeSeries)
public final TensorboardServiceClient.ExportTensorboardTimeSeriesDataPagedResponse exportTensorboardTimeSeriesData(String tensorboardTimeSeries)
Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String tensorboardTimeSeries =
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString();
for (TimeSeriesDataPoint element :
tensorboardServiceClient
.exportTensorboardTimeSeriesData(tensorboardTimeSeries)
.iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
tensorboardTimeSeries | String Required. The resource name of the TensorboardTimeSeries to export
data from. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ExportTensorboardTimeSeriesDataPagedResponse |
exportTensorboardTimeSeriesDataCallable()
public final UnaryCallable<ExportTensorboardTimeSeriesDataRequest,ExportTensorboardTimeSeriesDataResponse> exportTensorboardTimeSeriesDataCallable()
Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ExportTensorboardTimeSeriesDataRequest request =
ExportTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboardTimeSeries(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.build();
while (true) {
ExportTensorboardTimeSeriesDataResponse response =
tensorboardServiceClient.exportTensorboardTimeSeriesDataCallable().call(request);
for (TimeSeriesDataPoint element : response.getTimeSeriesDataPointsList()) {
// doThingsWith(element);
}
String nextPageToken = response.getNextPageToken();
if (!Strings.isNullOrEmpty(nextPageToken)) {
request = request.toBuilder().setPageToken(nextPageToken).build();
} else {
break;
}
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ExportTensorboardTimeSeriesDataRequest,ExportTensorboardTimeSeriesDataResponse> |
exportTensorboardTimeSeriesDataPagedCallable()
public final UnaryCallable<ExportTensorboardTimeSeriesDataRequest,TensorboardServiceClient.ExportTensorboardTimeSeriesDataPagedResponse> exportTensorboardTimeSeriesDataPagedCallable()
Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ExportTensorboardTimeSeriesDataRequest request =
ExportTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboardTimeSeries(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.build();
ApiFuture<TimeSeriesDataPoint> future =
tensorboardServiceClient
.exportTensorboardTimeSeriesDataPagedCallable()
.futureCall(request);
// Do something.
for (TimeSeriesDataPoint element : future.get().iterateAll()) {
// doThingsWith(element);
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ExportTensorboardTimeSeriesDataRequest,ExportTensorboardTimeSeriesDataPagedResponse> |
getIamPolicy(GetIamPolicyRequest request)
public final Policy getIamPolicy(GetIamPolicyRequest request)
Gets the access control policy for a resource. Returns an empty policyif the resource exists and does not have a policy set.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetIamPolicyRequest request =
GetIamPolicyRequest.newBuilder()
.setResource(
EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
.toString())
.setOptions(GetPolicyOptions.newBuilder().build())
.build();
Policy response = tensorboardServiceClient.getIamPolicy(request);
}
Parameter | |
---|---|
Name | Description |
request | com.google.iam.v1.GetIamPolicyRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
com.google.iam.v1.Policy |
getIamPolicyCallable()
public final UnaryCallable<GetIamPolicyRequest,Policy> getIamPolicyCallable()
Gets the access control policy for a resource. Returns an empty policyif the resource exists and does not have a policy set.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetIamPolicyRequest request =
GetIamPolicyRequest.newBuilder()
.setResource(
EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
.toString())
.setOptions(GetPolicyOptions.newBuilder().build())
.build();
ApiFuture<Policy> future =
tensorboardServiceClient.getIamPolicyCallable().futureCall(request);
// Do something.
Policy response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<com.google.iam.v1.GetIamPolicyRequest,com.google.iam.v1.Policy> |
getLocation(GetLocationRequest request)
public final Location getLocation(GetLocationRequest request)
Gets information about a location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetLocationRequest request = GetLocationRequest.newBuilder().setName("name3373707").build();
Location response = tensorboardServiceClient.getLocation(request);
}
Parameter | |
---|---|
Name | Description |
request | com.google.cloud.location.GetLocationRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
com.google.cloud.location.Location |
getLocationCallable()
public final UnaryCallable<GetLocationRequest,Location> getLocationCallable()
Gets information about a location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetLocationRequest request = GetLocationRequest.newBuilder().setName("name3373707").build();
ApiFuture<Location> future =
tensorboardServiceClient.getLocationCallable().futureCall(request);
// Do something.
Location response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<com.google.cloud.location.GetLocationRequest,com.google.cloud.location.Location> |
getOperationsClient()
public final OperationsClient getOperationsClient()
Returns the OperationsClient that can be used to query the status of a long-running operation returned by another API method call.
Returns | |
---|---|
Type | Description |
OperationsClient |
getSettings()
public final TensorboardServiceSettings getSettings()
Returns | |
---|---|
Type | Description |
TensorboardServiceSettings |
getStub()
public TensorboardServiceStub getStub()
Returns | |
---|---|
Type | Description |
TensorboardServiceStub |
getTensorboard(GetTensorboardRequest request)
public final Tensorboard getTensorboard(GetTensorboardRequest request)
Gets a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetTensorboardRequest request =
GetTensorboardRequest.newBuilder()
.setName(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.build();
Tensorboard response = tensorboardServiceClient.getTensorboard(request);
}
Parameter | |
---|---|
Name | Description |
request | GetTensorboardRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
Tensorboard |
getTensorboard(TensorboardName name)
public final Tensorboard getTensorboard(TensorboardName name)
Gets a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardName name = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
Tensorboard response = tensorboardServiceClient.getTensorboard(name);
}
Parameter | |
---|---|
Name | Description |
name | TensorboardName Required. The name of the Tensorboard resource. Format:
|
Returns | |
---|---|
Type | Description |
Tensorboard |
getTensorboard(String name)
public final Tensorboard getTensorboard(String name)
Gets a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String name = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString();
Tensorboard response = tensorboardServiceClient.getTensorboard(name);
}
Parameter | |
---|---|
Name | Description |
name | String Required. The name of the Tensorboard resource. Format:
|
Returns | |
---|---|
Type | Description |
Tensorboard |
getTensorboardCallable()
public final UnaryCallable<GetTensorboardRequest,Tensorboard> getTensorboardCallable()
Gets a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetTensorboardRequest request =
GetTensorboardRequest.newBuilder()
.setName(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.build();
ApiFuture<Tensorboard> future =
tensorboardServiceClient.getTensorboardCallable().futureCall(request);
// Do something.
Tensorboard response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<GetTensorboardRequest,Tensorboard> |
getTensorboardExperiment(GetTensorboardExperimentRequest request)
public final TensorboardExperiment getTensorboardExperiment(GetTensorboardExperimentRequest request)
Gets a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetTensorboardExperimentRequest request =
GetTensorboardExperimentRequest.newBuilder()
.setName(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.build();
TensorboardExperiment response = tensorboardServiceClient.getTensorboardExperiment(request);
}
Parameter | |
---|---|
Name | Description |
request | GetTensorboardExperimentRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardExperiment |
getTensorboardExperiment(TensorboardExperimentName name)
public final TensorboardExperiment getTensorboardExperiment(TensorboardExperimentName name)
Gets a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardExperimentName name =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]");
TensorboardExperiment response = tensorboardServiceClient.getTensorboardExperiment(name);
}
Parameter | |
---|---|
Name | Description |
name | TensorboardExperimentName Required. The name of the TensorboardExperiment resource. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardExperiment |
getTensorboardExperiment(String name)
public final TensorboardExperiment getTensorboardExperiment(String name)
Gets a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String name =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString();
TensorboardExperiment response = tensorboardServiceClient.getTensorboardExperiment(name);
}
Parameter | |
---|---|
Name | Description |
name | String Required. The name of the TensorboardExperiment resource. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardExperiment |
getTensorboardExperimentCallable()
public final UnaryCallable<GetTensorboardExperimentRequest,TensorboardExperiment> getTensorboardExperimentCallable()
Gets a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetTensorboardExperimentRequest request =
GetTensorboardExperimentRequest.newBuilder()
.setName(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.build();
ApiFuture<TensorboardExperiment> future =
tensorboardServiceClient.getTensorboardExperimentCallable().futureCall(request);
// Do something.
TensorboardExperiment response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<GetTensorboardExperimentRequest,TensorboardExperiment> |
getTensorboardRun(GetTensorboardRunRequest request)
public final TensorboardRun getTensorboardRun(GetTensorboardRunRequest request)
Gets a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetTensorboardRunRequest request =
GetTensorboardRunRequest.newBuilder()
.setName(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.build();
TensorboardRun response = tensorboardServiceClient.getTensorboardRun(request);
}
Parameter | |
---|---|
Name | Description |
request | GetTensorboardRunRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardRun |
getTensorboardRun(TensorboardRunName name)
public final TensorboardRun getTensorboardRun(TensorboardRunName name)
Gets a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardRunName name =
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]");
TensorboardRun response = tensorboardServiceClient.getTensorboardRun(name);
}
Parameter | |
---|---|
Name | Description |
name | TensorboardRunName Required. The name of the TensorboardRun resource. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardRun |
getTensorboardRun(String name)
public final TensorboardRun getTensorboardRun(String name)
Gets a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String name =
TensorboardRunName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString();
TensorboardRun response = tensorboardServiceClient.getTensorboardRun(name);
}
Parameter | |
---|---|
Name | Description |
name | String Required. The name of the TensorboardRun resource. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardRun |
getTensorboardRunCallable()
public final UnaryCallable<GetTensorboardRunRequest,TensorboardRun> getTensorboardRunCallable()
Gets a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetTensorboardRunRequest request =
GetTensorboardRunRequest.newBuilder()
.setName(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.build();
ApiFuture<TensorboardRun> future =
tensorboardServiceClient.getTensorboardRunCallable().futureCall(request);
// Do something.
TensorboardRun response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<GetTensorboardRunRequest,TensorboardRun> |
getTensorboardTimeSeries(GetTensorboardTimeSeriesRequest request)
public final TensorboardTimeSeries getTensorboardTimeSeries(GetTensorboardTimeSeriesRequest request)
Gets a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetTensorboardTimeSeriesRequest request =
GetTensorboardTimeSeriesRequest.newBuilder()
.setName(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.build();
TensorboardTimeSeries response = tensorboardServiceClient.getTensorboardTimeSeries(request);
}
Parameter | |
---|---|
Name | Description |
request | GetTensorboardTimeSeriesRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardTimeSeries |
getTensorboardTimeSeries(TensorboardTimeSeriesName name)
public final TensorboardTimeSeries getTensorboardTimeSeries(TensorboardTimeSeriesName name)
Gets a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardTimeSeriesName name =
TensorboardTimeSeriesName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]", "[TIME_SERIES]");
TensorboardTimeSeries response = tensorboardServiceClient.getTensorboardTimeSeries(name);
}
Parameter | |
---|---|
Name | Description |
name | TensorboardTimeSeriesName Required. The name of the TensorboardTimeSeries resource. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardTimeSeries |
getTensorboardTimeSeries(String name)
public final TensorboardTimeSeries getTensorboardTimeSeries(String name)
Gets a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String name =
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString();
TensorboardTimeSeries response = tensorboardServiceClient.getTensorboardTimeSeries(name);
}
Parameter | |
---|---|
Name | Description |
name | String Required. The name of the TensorboardTimeSeries resource. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardTimeSeries |
getTensorboardTimeSeriesCallable()
public final UnaryCallable<GetTensorboardTimeSeriesRequest,TensorboardTimeSeries> getTensorboardTimeSeriesCallable()
Gets a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
GetTensorboardTimeSeriesRequest request =
GetTensorboardTimeSeriesRequest.newBuilder()
.setName(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.build();
ApiFuture<TensorboardTimeSeries> future =
tensorboardServiceClient.getTensorboardTimeSeriesCallable().futureCall(request);
// Do something.
TensorboardTimeSeries response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<GetTensorboardTimeSeriesRequest,TensorboardTimeSeries> |
isShutdown()
public boolean isShutdown()
Returns | |
---|---|
Type | Description |
boolean |
isTerminated()
public boolean isTerminated()
Returns | |
---|---|
Type | Description |
boolean |
listLocations(ListLocationsRequest request)
public final TensorboardServiceClient.ListLocationsPagedResponse listLocations(ListLocationsRequest request)
Lists information about the supported locations for this service.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListLocationsRequest request =
ListLocationsRequest.newBuilder()
.setName("name3373707")
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.build();
for (Location element : tensorboardServiceClient.listLocations(request).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
request | com.google.cloud.location.ListLocationsRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListLocationsPagedResponse |
listLocationsCallable()
public final UnaryCallable<ListLocationsRequest,ListLocationsResponse> listLocationsCallable()
Lists information about the supported locations for this service.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListLocationsRequest request =
ListLocationsRequest.newBuilder()
.setName("name3373707")
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.build();
while (true) {
ListLocationsResponse response =
tensorboardServiceClient.listLocationsCallable().call(request);
for (Location element : response.getLocationsList()) {
// doThingsWith(element);
}
String nextPageToken = response.getNextPageToken();
if (!Strings.isNullOrEmpty(nextPageToken)) {
request = request.toBuilder().setPageToken(nextPageToken).build();
} else {
break;
}
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<com.google.cloud.location.ListLocationsRequest,com.google.cloud.location.ListLocationsResponse> |
listLocationsPagedCallable()
public final UnaryCallable<ListLocationsRequest,TensorboardServiceClient.ListLocationsPagedResponse> listLocationsPagedCallable()
Lists information about the supported locations for this service.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListLocationsRequest request =
ListLocationsRequest.newBuilder()
.setName("name3373707")
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.build();
ApiFuture<Location> future =
tensorboardServiceClient.listLocationsPagedCallable().futureCall(request);
// Do something.
for (Location element : future.get().iterateAll()) {
// doThingsWith(element);
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<com.google.cloud.location.ListLocationsRequest,ListLocationsPagedResponse> |
listTensorboardExperiments(ListTensorboardExperimentsRequest request)
public final TensorboardServiceClient.ListTensorboardExperimentsPagedResponse listTensorboardExperiments(ListTensorboardExperimentsRequest request)
Lists TensorboardExperiments in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardExperimentsRequest request =
ListTensorboardExperimentsRequest.newBuilder()
.setParent(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
for (TensorboardExperiment element :
tensorboardServiceClient.listTensorboardExperiments(request).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
request | ListTensorboardExperimentsRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardExperimentsPagedResponse |
listTensorboardExperiments(TensorboardName parent)
public final TensorboardServiceClient.ListTensorboardExperimentsPagedResponse listTensorboardExperiments(TensorboardName parent)
Lists TensorboardExperiments in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardName parent = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
for (TensorboardExperiment element :
tensorboardServiceClient.listTensorboardExperiments(parent).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
parent | TensorboardName Required. The resource name of the Tensorboard to list TensorboardExperiments.
Format: |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardExperimentsPagedResponse |
listTensorboardExperiments(String parent)
public final TensorboardServiceClient.ListTensorboardExperimentsPagedResponse listTensorboardExperiments(String parent)
Lists TensorboardExperiments in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString();
for (TensorboardExperiment element :
tensorboardServiceClient.listTensorboardExperiments(parent).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
parent | String Required. The resource name of the Tensorboard to list TensorboardExperiments.
Format: |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardExperimentsPagedResponse |
listTensorboardExperimentsCallable()
public final UnaryCallable<ListTensorboardExperimentsRequest,ListTensorboardExperimentsResponse> listTensorboardExperimentsCallable()
Lists TensorboardExperiments in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardExperimentsRequest request =
ListTensorboardExperimentsRequest.newBuilder()
.setParent(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
while (true) {
ListTensorboardExperimentsResponse response =
tensorboardServiceClient.listTensorboardExperimentsCallable().call(request);
for (TensorboardExperiment element : response.getTensorboardExperimentsList()) {
// doThingsWith(element);
}
String nextPageToken = response.getNextPageToken();
if (!Strings.isNullOrEmpty(nextPageToken)) {
request = request.toBuilder().setPageToken(nextPageToken).build();
} else {
break;
}
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ListTensorboardExperimentsRequest,ListTensorboardExperimentsResponse> |
listTensorboardExperimentsPagedCallable()
public final UnaryCallable<ListTensorboardExperimentsRequest,TensorboardServiceClient.ListTensorboardExperimentsPagedResponse> listTensorboardExperimentsPagedCallable()
Lists TensorboardExperiments in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardExperimentsRequest request =
ListTensorboardExperimentsRequest.newBuilder()
.setParent(TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
ApiFuture<TensorboardExperiment> future =
tensorboardServiceClient.listTensorboardExperimentsPagedCallable().futureCall(request);
// Do something.
for (TensorboardExperiment element : future.get().iterateAll()) {
// doThingsWith(element);
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ListTensorboardExperimentsRequest,ListTensorboardExperimentsPagedResponse> |
listTensorboardRuns(ListTensorboardRunsRequest request)
public final TensorboardServiceClient.ListTensorboardRunsPagedResponse listTensorboardRuns(ListTensorboardRunsRequest request)
Lists TensorboardRuns in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardRunsRequest request =
ListTensorboardRunsRequest.newBuilder()
.setParent(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
for (TensorboardRun element :
tensorboardServiceClient.listTensorboardRuns(request).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
request | ListTensorboardRunsRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardRunsPagedResponse |
listTensorboardRuns(TensorboardExperimentName parent)
public final TensorboardServiceClient.ListTensorboardRunsPagedResponse listTensorboardRuns(TensorboardExperimentName parent)
Lists TensorboardRuns in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardExperimentName parent =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]");
for (TensorboardRun element :
tensorboardServiceClient.listTensorboardRuns(parent).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
parent | TensorboardExperimentName Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
Format:
|
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardRunsPagedResponse |
listTensorboardRuns(String parent)
public final TensorboardServiceClient.ListTensorboardRunsPagedResponse listTensorboardRuns(String parent)
Lists TensorboardRuns in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString();
for (TensorboardRun element :
tensorboardServiceClient.listTensorboardRuns(parent).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
parent | String Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
Format:
|
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardRunsPagedResponse |
listTensorboardRunsCallable()
public final UnaryCallable<ListTensorboardRunsRequest,ListTensorboardRunsResponse> listTensorboardRunsCallable()
Lists TensorboardRuns in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardRunsRequest request =
ListTensorboardRunsRequest.newBuilder()
.setParent(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
while (true) {
ListTensorboardRunsResponse response =
tensorboardServiceClient.listTensorboardRunsCallable().call(request);
for (TensorboardRun element : response.getTensorboardRunsList()) {
// doThingsWith(element);
}
String nextPageToken = response.getNextPageToken();
if (!Strings.isNullOrEmpty(nextPageToken)) {
request = request.toBuilder().setPageToken(nextPageToken).build();
} else {
break;
}
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ListTensorboardRunsRequest,ListTensorboardRunsResponse> |
listTensorboardRunsPagedCallable()
public final UnaryCallable<ListTensorboardRunsRequest,TensorboardServiceClient.ListTensorboardRunsPagedResponse> listTensorboardRunsPagedCallable()
Lists TensorboardRuns in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardRunsRequest request =
ListTensorboardRunsRequest.newBuilder()
.setParent(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
ApiFuture<TensorboardRun> future =
tensorboardServiceClient.listTensorboardRunsPagedCallable().futureCall(request);
// Do something.
for (TensorboardRun element : future.get().iterateAll()) {
// doThingsWith(element);
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ListTensorboardRunsRequest,ListTensorboardRunsPagedResponse> |
listTensorboardTimeSeries(ListTensorboardTimeSeriesRequest request)
public final TensorboardServiceClient.ListTensorboardTimeSeriesPagedResponse listTensorboardTimeSeries(ListTensorboardTimeSeriesRequest request)
Lists TensorboardTimeSeries in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardTimeSeriesRequest request =
ListTensorboardTimeSeriesRequest.newBuilder()
.setParent(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
for (TensorboardTimeSeries element :
tensorboardServiceClient.listTensorboardTimeSeries(request).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
request | ListTensorboardTimeSeriesRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardTimeSeriesPagedResponse |
listTensorboardTimeSeries(TensorboardRunName parent)
public final TensorboardServiceClient.ListTensorboardTimeSeriesPagedResponse listTensorboardTimeSeries(TensorboardRunName parent)
Lists TensorboardTimeSeries in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardRunName parent =
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]");
for (TensorboardTimeSeries element :
tensorboardServiceClient.listTensorboardTimeSeries(parent).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
parent | TensorboardRunName Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
Format:
|
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardTimeSeriesPagedResponse |
listTensorboardTimeSeries(String parent)
public final TensorboardServiceClient.ListTensorboardTimeSeriesPagedResponse listTensorboardTimeSeries(String parent)
Lists TensorboardTimeSeries in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent =
TensorboardRunName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString();
for (TensorboardTimeSeries element :
tensorboardServiceClient.listTensorboardTimeSeries(parent).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
parent | String Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
Format:
|
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardTimeSeriesPagedResponse |
listTensorboardTimeSeriesCallable()
public final UnaryCallable<ListTensorboardTimeSeriesRequest,ListTensorboardTimeSeriesResponse> listTensorboardTimeSeriesCallable()
Lists TensorboardTimeSeries in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardTimeSeriesRequest request =
ListTensorboardTimeSeriesRequest.newBuilder()
.setParent(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
while (true) {
ListTensorboardTimeSeriesResponse response =
tensorboardServiceClient.listTensorboardTimeSeriesCallable().call(request);
for (TensorboardTimeSeries element : response.getTensorboardTimeSeriesList()) {
// doThingsWith(element);
}
String nextPageToken = response.getNextPageToken();
if (!Strings.isNullOrEmpty(nextPageToken)) {
request = request.toBuilder().setPageToken(nextPageToken).build();
} else {
break;
}
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ListTensorboardTimeSeriesRequest,ListTensorboardTimeSeriesResponse> |
listTensorboardTimeSeriesPagedCallable()
public final UnaryCallable<ListTensorboardTimeSeriesRequest,TensorboardServiceClient.ListTensorboardTimeSeriesPagedResponse> listTensorboardTimeSeriesPagedCallable()
Lists TensorboardTimeSeries in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardTimeSeriesRequest request =
ListTensorboardTimeSeriesRequest.newBuilder()
.setParent(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
ApiFuture<TensorboardTimeSeries> future =
tensorboardServiceClient.listTensorboardTimeSeriesPagedCallable().futureCall(request);
// Do something.
for (TensorboardTimeSeries element : future.get().iterateAll()) {
// doThingsWith(element);
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ListTensorboardTimeSeriesRequest,ListTensorboardTimeSeriesPagedResponse> |
listTensorboards(ListTensorboardsRequest request)
public final TensorboardServiceClient.ListTensorboardsPagedResponse listTensorboards(ListTensorboardsRequest request)
Lists Tensorboards in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardsRequest request =
ListTensorboardsRequest.newBuilder()
.setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
for (Tensorboard element : tensorboardServiceClient.listTensorboards(request).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
request | ListTensorboardsRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardsPagedResponse |
listTensorboards(LocationName parent)
public final TensorboardServiceClient.ListTensorboardsPagedResponse listTensorboards(LocationName parent)
Lists Tensorboards in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
for (Tensorboard element : tensorboardServiceClient.listTensorboards(parent).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
parent | LocationName Required. The resource name of the Location to list Tensorboards. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardsPagedResponse |
listTensorboards(String parent)
public final TensorboardServiceClient.ListTensorboardsPagedResponse listTensorboards(String parent)
Lists Tensorboards in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
for (Tensorboard element : tensorboardServiceClient.listTensorboards(parent).iterateAll()) {
// doThingsWith(element);
}
}
Parameter | |
---|---|
Name | Description |
parent | String Required. The resource name of the Location to list Tensorboards. Format:
|
Returns | |
---|---|
Type | Description |
TensorboardServiceClient.ListTensorboardsPagedResponse |
listTensorboardsCallable()
public final UnaryCallable<ListTensorboardsRequest,ListTensorboardsResponse> listTensorboardsCallable()
Lists Tensorboards in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardsRequest request =
ListTensorboardsRequest.newBuilder()
.setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
while (true) {
ListTensorboardsResponse response =
tensorboardServiceClient.listTensorboardsCallable().call(request);
for (Tensorboard element : response.getTensorboardsList()) {
// doThingsWith(element);
}
String nextPageToken = response.getNextPageToken();
if (!Strings.isNullOrEmpty(nextPageToken)) {
request = request.toBuilder().setPageToken(nextPageToken).build();
} else {
break;
}
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ListTensorboardsRequest,ListTensorboardsResponse> |
listTensorboardsPagedCallable()
public final UnaryCallable<ListTensorboardsRequest,TensorboardServiceClient.ListTensorboardsPagedResponse> listTensorboardsPagedCallable()
Lists Tensorboards in a Location.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ListTensorboardsRequest request =
ListTensorboardsRequest.newBuilder()
.setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
.setFilter("filter-1274492040")
.setPageSize(883849137)
.setPageToken("pageToken873572522")
.setOrderBy("orderBy-1207110587")
.setReadMask(FieldMask.newBuilder().build())
.build();
ApiFuture<Tensorboard> future =
tensorboardServiceClient.listTensorboardsPagedCallable().futureCall(request);
// Do something.
for (Tensorboard element : future.get().iterateAll()) {
// doThingsWith(element);
}
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ListTensorboardsRequest,ListTensorboardsPagedResponse> |
readTensorboardBlobDataCallable()
public final ServerStreamingCallable<ReadTensorboardBlobDataRequest,ReadTensorboardBlobDataResponse> readTensorboardBlobDataCallable()
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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ReadTensorboardBlobDataRequest request =
ReadTensorboardBlobDataRequest.newBuilder()
.setTimeSeries(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.addAllBlobIds(new ArrayList<String>())
.build();
ServerStream<ReadTensorboardBlobDataResponse> stream =
tensorboardServiceClient.readTensorboardBlobDataCallable().call(request);
for (ReadTensorboardBlobDataResponse response : stream) {
// Do something when a response is received.
}
}
Returns | |
---|---|
Type | Description |
ServerStreamingCallable<ReadTensorboardBlobDataRequest,ReadTensorboardBlobDataResponse> |
readTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest request)
public final 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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ReadTensorboardTimeSeriesDataRequest request =
ReadTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboardTimeSeries(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.setMaxDataPoints(724001981)
.setFilter("filter-1274492040")
.build();
ReadTensorboardTimeSeriesDataResponse response =
tensorboardServiceClient.readTensorboardTimeSeriesData(request);
}
Parameter | |
---|---|
Name | Description |
request | ReadTensorboardTimeSeriesDataRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
ReadTensorboardTimeSeriesDataResponse |
readTensorboardTimeSeriesData(TensorboardTimeSeriesName tensorboardTimeSeries)
public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData(TensorboardTimeSeriesName tensorboardTimeSeries)
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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardTimeSeriesName tensorboardTimeSeries =
TensorboardTimeSeriesName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]", "[TIME_SERIES]");
ReadTensorboardTimeSeriesDataResponse response =
tensorboardServiceClient.readTensorboardTimeSeriesData(tensorboardTimeSeries);
}
Parameter | |
---|---|
Name | Description |
tensorboardTimeSeries | TensorboardTimeSeriesName Required. The resource name of the TensorboardTimeSeries to read
data from. Format:
|
Returns | |
---|---|
Type | Description |
ReadTensorboardTimeSeriesDataResponse |
readTensorboardTimeSeriesData(String tensorboardTimeSeries)
public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData(String tensorboardTimeSeries)
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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String tensorboardTimeSeries =
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString();
ReadTensorboardTimeSeriesDataResponse response =
tensorboardServiceClient.readTensorboardTimeSeriesData(tensorboardTimeSeries);
}
Parameter | |
---|---|
Name | Description |
tensorboardTimeSeries | String Required. The resource name of the TensorboardTimeSeries to read
data from. Format:
|
Returns | |
---|---|
Type | Description |
ReadTensorboardTimeSeriesDataResponse |
readTensorboardTimeSeriesDataCallable()
public final UnaryCallable<ReadTensorboardTimeSeriesDataRequest,ReadTensorboardTimeSeriesDataResponse> readTensorboardTimeSeriesDataCallable()
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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ReadTensorboardTimeSeriesDataRequest request =
ReadTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboardTimeSeries(
TensorboardTimeSeriesName.of(
"[PROJECT]",
"[LOCATION]",
"[TENSORBOARD]",
"[EXPERIMENT]",
"[RUN]",
"[TIME_SERIES]")
.toString())
.setMaxDataPoints(724001981)
.setFilter("filter-1274492040")
.build();
ApiFuture<ReadTensorboardTimeSeriesDataResponse> future =
tensorboardServiceClient.readTensorboardTimeSeriesDataCallable().futureCall(request);
// Do something.
ReadTensorboardTimeSeriesDataResponse response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ReadTensorboardTimeSeriesDataRequest,ReadTensorboardTimeSeriesDataResponse> |
readTensorboardUsage(ReadTensorboardUsageRequest request)
public final ReadTensorboardUsageResponse readTensorboardUsage(ReadTensorboardUsageRequest request)
Returns a list of monthly active users for a given TensorBoard instance.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ReadTensorboardUsageRequest request =
ReadTensorboardUsageRequest.newBuilder()
.setTensorboard(
TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.build();
ReadTensorboardUsageResponse response =
tensorboardServiceClient.readTensorboardUsage(request);
}
Parameter | |
---|---|
Name | Description |
request | ReadTensorboardUsageRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
ReadTensorboardUsageResponse |
readTensorboardUsage(TensorboardName tensorboard)
public final ReadTensorboardUsageResponse readTensorboardUsage(TensorboardName tensorboard)
Returns a list of monthly active users for a given TensorBoard instance.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardName tensorboard = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
ReadTensorboardUsageResponse response =
tensorboardServiceClient.readTensorboardUsage(tensorboard);
}
Parameter | |
---|---|
Name | Description |
tensorboard | TensorboardName Required. The name of the Tensorboard resource. Format:
|
Returns | |
---|---|
Type | Description |
ReadTensorboardUsageResponse |
readTensorboardUsage(String tensorboard)
public final ReadTensorboardUsageResponse readTensorboardUsage(String tensorboard)
Returns a list of monthly active users for a given TensorBoard instance.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String tensorboard =
TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString();
ReadTensorboardUsageResponse response =
tensorboardServiceClient.readTensorboardUsage(tensorboard);
}
Parameter | |
---|---|
Name | Description |
tensorboard | String Required. The name of the Tensorboard resource. Format:
|
Returns | |
---|---|
Type | Description |
ReadTensorboardUsageResponse |
readTensorboardUsageCallable()
public final UnaryCallable<ReadTensorboardUsageRequest,ReadTensorboardUsageResponse> readTensorboardUsageCallable()
Returns a list of monthly active users for a given TensorBoard instance.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
ReadTensorboardUsageRequest request =
ReadTensorboardUsageRequest.newBuilder()
.setTensorboard(
TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
.build();
ApiFuture<ReadTensorboardUsageResponse> future =
tensorboardServiceClient.readTensorboardUsageCallable().futureCall(request);
// Do something.
ReadTensorboardUsageResponse response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<ReadTensorboardUsageRequest,ReadTensorboardUsageResponse> |
setIamPolicy(SetIamPolicyRequest request)
public final Policy setIamPolicy(SetIamPolicyRequest request)
Sets the access control policy on the specified resource. Replacesany existing policy.
Can return NOT_FOUND
, INVALID_ARGUMENT
, and PERMISSION_DENIED
errors.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
SetIamPolicyRequest request =
SetIamPolicyRequest.newBuilder()
.setResource(
EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
.toString())
.setPolicy(Policy.newBuilder().build())
.setUpdateMask(FieldMask.newBuilder().build())
.build();
Policy response = tensorboardServiceClient.setIamPolicy(request);
}
Parameter | |
---|---|
Name | Description |
request | com.google.iam.v1.SetIamPolicyRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
com.google.iam.v1.Policy |
setIamPolicyCallable()
public final UnaryCallable<SetIamPolicyRequest,Policy> setIamPolicyCallable()
Sets the access control policy on the specified resource. Replacesany existing policy.
Can return NOT_FOUND
, INVALID_ARGUMENT
, and PERMISSION_DENIED
errors.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
SetIamPolicyRequest request =
SetIamPolicyRequest.newBuilder()
.setResource(
EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
.toString())
.setPolicy(Policy.newBuilder().build())
.setUpdateMask(FieldMask.newBuilder().build())
.build();
ApiFuture<Policy> future =
tensorboardServiceClient.setIamPolicyCallable().futureCall(request);
// Do something.
Policy response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<com.google.iam.v1.SetIamPolicyRequest,com.google.iam.v1.Policy> |
shutdown()
public void shutdown()
shutdownNow()
public void shutdownNow()
testIamPermissions(TestIamPermissionsRequest request)
public final TestIamPermissionsResponse testIamPermissions(TestIamPermissionsRequest request)
Returns permissions that a caller has on the specified resource. If theresource does not exist,
this will return an empty set ofpermissions, not a NOT_FOUND
error.
Note: This operation is designed to be used for buildingpermission-aware UIs and command-line tools, not for authorizationchecking. This operation may "fail open" without warning.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TestIamPermissionsRequest request =
TestIamPermissionsRequest.newBuilder()
.setResource(
EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
.toString())
.addAllPermissions(new ArrayList<String>())
.build();
TestIamPermissionsResponse response = tensorboardServiceClient.testIamPermissions(request);
}
Parameter | |
---|---|
Name | Description |
request | com.google.iam.v1.TestIamPermissionsRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
com.google.iam.v1.TestIamPermissionsResponse |
testIamPermissionsCallable()
public final UnaryCallable<TestIamPermissionsRequest,TestIamPermissionsResponse> testIamPermissionsCallable()
Returns permissions that a caller has on the specified resource. If theresource does not exist,
this will return an empty set ofpermissions, not a NOT_FOUND
error.
Note: This operation is designed to be used for buildingpermission-aware UIs and command-line tools, not for authorizationchecking. This operation may "fail open" without warning.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TestIamPermissionsRequest request =
TestIamPermissionsRequest.newBuilder()
.setResource(
EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
.toString())
.addAllPermissions(new ArrayList<String>())
.build();
ApiFuture<TestIamPermissionsResponse> future =
tensorboardServiceClient.testIamPermissionsCallable().futureCall(request);
// Do something.
TestIamPermissionsResponse response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<com.google.iam.v1.TestIamPermissionsRequest,com.google.iam.v1.TestIamPermissionsResponse> |
updateTensorboardAsync(Tensorboard tensorboard, FieldMask updateMask)
public final OperationFuture<Tensorboard,UpdateTensorboardOperationMetadata> updateTensorboardAsync(Tensorboard tensorboard, FieldMask updateMask)
Updates a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
Tensorboard tensorboard = Tensorboard.newBuilder().build();
FieldMask updateMask = FieldMask.newBuilder().build();
Tensorboard response =
tensorboardServiceClient.updateTensorboardAsync(tensorboard, updateMask).get();
}
Parameters | |
---|---|
Name | Description |
tensorboard | Tensorboard Required. The Tensorboard's |
updateMask | FieldMask Required. Field mask is used to specify the fields to be overwritten in the Tensorboard resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified. |
Returns | |
---|---|
Type | Description |
OperationFuture<Tensorboard,UpdateTensorboardOperationMetadata> |
updateTensorboardAsync(UpdateTensorboardRequest request)
public final OperationFuture<Tensorboard,UpdateTensorboardOperationMetadata> updateTensorboardAsync(UpdateTensorboardRequest request)
Updates a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
UpdateTensorboardRequest request =
UpdateTensorboardRequest.newBuilder()
.setUpdateMask(FieldMask.newBuilder().build())
.setTensorboard(Tensorboard.newBuilder().build())
.build();
Tensorboard response = tensorboardServiceClient.updateTensorboardAsync(request).get();
}
Parameter | |
---|---|
Name | Description |
request | UpdateTensorboardRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
OperationFuture<Tensorboard,UpdateTensorboardOperationMetadata> |
updateTensorboardCallable()
public final UnaryCallable<UpdateTensorboardRequest,Operation> updateTensorboardCallable()
Updates a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
UpdateTensorboardRequest request =
UpdateTensorboardRequest.newBuilder()
.setUpdateMask(FieldMask.newBuilder().build())
.setTensorboard(Tensorboard.newBuilder().build())
.build();
ApiFuture<Operation> future =
tensorboardServiceClient.updateTensorboardCallable().futureCall(request);
// Do something.
Operation response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<UpdateTensorboardRequest,Operation> |
updateTensorboardExperiment(TensorboardExperiment tensorboardExperiment, FieldMask updateMask)
public final TensorboardExperiment updateTensorboardExperiment(TensorboardExperiment tensorboardExperiment, FieldMask updateMask)
Updates a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardExperiment tensorboardExperiment = TensorboardExperiment.newBuilder().build();
FieldMask updateMask = FieldMask.newBuilder().build();
TensorboardExperiment response =
tensorboardServiceClient.updateTensorboardExperiment(tensorboardExperiment, updateMask);
}
Parameters | |
---|---|
Name | Description |
tensorboardExperiment | TensorboardExperiment Required. The TensorboardExperiment's |
updateMask | FieldMask Required. Field mask is used to specify the fields to be overwritten in the TensorboardExperiment resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified. |
Returns | |
---|---|
Type | Description |
TensorboardExperiment |
updateTensorboardExperiment(UpdateTensorboardExperimentRequest request)
public final TensorboardExperiment updateTensorboardExperiment(UpdateTensorboardExperimentRequest request)
Updates a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
UpdateTensorboardExperimentRequest request =
UpdateTensorboardExperimentRequest.newBuilder()
.setUpdateMask(FieldMask.newBuilder().build())
.setTensorboardExperiment(TensorboardExperiment.newBuilder().build())
.build();
TensorboardExperiment response =
tensorboardServiceClient.updateTensorboardExperiment(request);
}
Parameter | |
---|---|
Name | Description |
request | UpdateTensorboardExperimentRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardExperiment |
updateTensorboardExperimentCallable()
public final UnaryCallable<UpdateTensorboardExperimentRequest,TensorboardExperiment> updateTensorboardExperimentCallable()
Updates a TensorboardExperiment.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
UpdateTensorboardExperimentRequest request =
UpdateTensorboardExperimentRequest.newBuilder()
.setUpdateMask(FieldMask.newBuilder().build())
.setTensorboardExperiment(TensorboardExperiment.newBuilder().build())
.build();
ApiFuture<TensorboardExperiment> future =
tensorboardServiceClient.updateTensorboardExperimentCallable().futureCall(request);
// Do something.
TensorboardExperiment response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<UpdateTensorboardExperimentRequest,TensorboardExperiment> |
updateTensorboardOperationCallable()
public final OperationCallable<UpdateTensorboardRequest,Tensorboard,UpdateTensorboardOperationMetadata> updateTensorboardOperationCallable()
Updates a Tensorboard.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
UpdateTensorboardRequest request =
UpdateTensorboardRequest.newBuilder()
.setUpdateMask(FieldMask.newBuilder().build())
.setTensorboard(Tensorboard.newBuilder().build())
.build();
OperationFuture<Tensorboard, UpdateTensorboardOperationMetadata> future =
tensorboardServiceClient.updateTensorboardOperationCallable().futureCall(request);
// Do something.
Tensorboard response = future.get();
}
Returns | |
---|---|
Type | Description |
OperationCallable<UpdateTensorboardRequest,Tensorboard,UpdateTensorboardOperationMetadata> |
updateTensorboardRun(TensorboardRun tensorboardRun, FieldMask updateMask)
public final TensorboardRun updateTensorboardRun(TensorboardRun tensorboardRun, FieldMask updateMask)
Updates a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardRun tensorboardRun = TensorboardRun.newBuilder().build();
FieldMask updateMask = FieldMask.newBuilder().build();
TensorboardRun response =
tensorboardServiceClient.updateTensorboardRun(tensorboardRun, updateMask);
}
Parameters | |
---|---|
Name | Description |
tensorboardRun | TensorboardRun Required. The TensorboardRun's |
updateMask | FieldMask Required. Field mask is used to specify the fields to be overwritten in the TensorboardRun resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified. |
Returns | |
---|---|
Type | Description |
TensorboardRun |
updateTensorboardRun(UpdateTensorboardRunRequest request)
public final TensorboardRun updateTensorboardRun(UpdateTensorboardRunRequest request)
Updates a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
UpdateTensorboardRunRequest request =
UpdateTensorboardRunRequest.newBuilder()
.setUpdateMask(FieldMask.newBuilder().build())
.setTensorboardRun(TensorboardRun.newBuilder().build())
.build();
TensorboardRun response = tensorboardServiceClient.updateTensorboardRun(request);
}
Parameter | |
---|---|
Name | Description |
request | UpdateTensorboardRunRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardRun |
updateTensorboardRunCallable()
public final UnaryCallable<UpdateTensorboardRunRequest,TensorboardRun> updateTensorboardRunCallable()
Updates a TensorboardRun.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
UpdateTensorboardRunRequest request =
UpdateTensorboardRunRequest.newBuilder()
.setUpdateMask(FieldMask.newBuilder().build())
.setTensorboardRun(TensorboardRun.newBuilder().build())
.build();
ApiFuture<TensorboardRun> future =
tensorboardServiceClient.updateTensorboardRunCallable().futureCall(request);
// Do something.
TensorboardRun response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<UpdateTensorboardRunRequest,TensorboardRun> |
updateTensorboardTimeSeries(TensorboardTimeSeries tensorboardTimeSeries, FieldMask updateMask)
public final TensorboardTimeSeries updateTensorboardTimeSeries(TensorboardTimeSeries tensorboardTimeSeries, FieldMask updateMask)
Updates a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardTimeSeries tensorboardTimeSeries = TensorboardTimeSeries.newBuilder().build();
FieldMask updateMask = FieldMask.newBuilder().build();
TensorboardTimeSeries response =
tensorboardServiceClient.updateTensorboardTimeSeries(tensorboardTimeSeries, updateMask);
}
Parameters | |
---|---|
Name | Description |
tensorboardTimeSeries | TensorboardTimeSeries Required. The TensorboardTimeSeries' |
updateMask | FieldMask Required. Field mask is used to specify the fields to be overwritten in the TensorboardTimeSeries resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified. |
Returns | |
---|---|
Type | Description |
TensorboardTimeSeries |
updateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest request)
public final TensorboardTimeSeries updateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest request)
Updates a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
UpdateTensorboardTimeSeriesRequest request =
UpdateTensorboardTimeSeriesRequest.newBuilder()
.setUpdateMask(FieldMask.newBuilder().build())
.setTensorboardTimeSeries(TensorboardTimeSeries.newBuilder().build())
.build();
TensorboardTimeSeries response =
tensorboardServiceClient.updateTensorboardTimeSeries(request);
}
Parameter | |
---|---|
Name | Description |
request | UpdateTensorboardTimeSeriesRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
TensorboardTimeSeries |
updateTensorboardTimeSeriesCallable()
public final UnaryCallable<UpdateTensorboardTimeSeriesRequest,TensorboardTimeSeries> updateTensorboardTimeSeriesCallable()
Updates a TensorboardTimeSeries.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
UpdateTensorboardTimeSeriesRequest request =
UpdateTensorboardTimeSeriesRequest.newBuilder()
.setUpdateMask(FieldMask.newBuilder().build())
.setTensorboardTimeSeries(TensorboardTimeSeries.newBuilder().build())
.build();
ApiFuture<TensorboardTimeSeries> future =
tensorboardServiceClient.updateTensorboardTimeSeriesCallable().futureCall(request);
// Do something.
TensorboardTimeSeries response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<UpdateTensorboardTimeSeriesRequest,TensorboardTimeSeries> |
writeTensorboardExperimentData(TensorboardExperimentName tensorboardExperiment, List<WriteTensorboardRunDataRequest> writeRunDataRequests)
public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentData(TensorboardExperimentName tensorboardExperiment, List<WriteTensorboardRunDataRequest> writeRunDataRequests)
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. If any data fail to be ingested, an error is returned.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardExperimentName tensorboardExperiment =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]");
List<WriteTensorboardRunDataRequest> writeRunDataRequests = new ArrayList<>();
WriteTensorboardExperimentDataResponse response =
tensorboardServiceClient.writeTensorboardExperimentData(
tensorboardExperiment, writeRunDataRequests);
}
Parameters | |
---|---|
Name | Description |
tensorboardExperiment | TensorboardExperimentName Required. The resource name of the TensorboardExperiment to write
data to. Format:
|
writeRunDataRequests | List<WriteTensorboardRunDataRequest> Required. Requests containing per-run TensorboardTimeSeries data to write. |
Returns | |
---|---|
Type | Description |
WriteTensorboardExperimentDataResponse |
writeTensorboardExperimentData(WriteTensorboardExperimentDataRequest request)
public final 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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
WriteTensorboardExperimentDataRequest request =
WriteTensorboardExperimentDataRequest.newBuilder()
.setTensorboardExperiment(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.addAllWriteRunDataRequests(new ArrayList<WriteTensorboardRunDataRequest>())
.build();
WriteTensorboardExperimentDataResponse response =
tensorboardServiceClient.writeTensorboardExperimentData(request);
}
Parameter | |
---|---|
Name | Description |
request | WriteTensorboardExperimentDataRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
WriteTensorboardExperimentDataResponse |
writeTensorboardExperimentData(String tensorboardExperiment, List<WriteTensorboardRunDataRequest> writeRunDataRequests)
public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentData(String tensorboardExperiment, List<WriteTensorboardRunDataRequest> writeRunDataRequests)
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. If any data fail to be ingested, an error is returned.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String tensorboardExperiment =
TensorboardExperimentName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString();
List<WriteTensorboardRunDataRequest> writeRunDataRequests = new ArrayList<>();
WriteTensorboardExperimentDataResponse response =
tensorboardServiceClient.writeTensorboardExperimentData(
tensorboardExperiment, writeRunDataRequests);
}
Parameters | |
---|---|
Name | Description |
tensorboardExperiment | String Required. The resource name of the TensorboardExperiment to write
data to. Format:
|
writeRunDataRequests | List<WriteTensorboardRunDataRequest> Required. Requests containing per-run TensorboardTimeSeries data to write. |
Returns | |
---|---|
Type | Description |
WriteTensorboardExperimentDataResponse |
writeTensorboardExperimentDataCallable()
public final UnaryCallable<WriteTensorboardExperimentDataRequest,WriteTensorboardExperimentDataResponse> writeTensorboardExperimentDataCallable()
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. If any data fail to be ingested, an error is returned.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
WriteTensorboardExperimentDataRequest request =
WriteTensorboardExperimentDataRequest.newBuilder()
.setTensorboardExperiment(
TensorboardExperimentName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]")
.toString())
.addAllWriteRunDataRequests(new ArrayList<WriteTensorboardRunDataRequest>())
.build();
ApiFuture<WriteTensorboardExperimentDataResponse> future =
tensorboardServiceClient.writeTensorboardExperimentDataCallable().futureCall(request);
// Do something.
WriteTensorboardExperimentDataResponse response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<WriteTensorboardExperimentDataRequest,WriteTensorboardExperimentDataResponse> |
writeTensorboardRunData(TensorboardRunName tensorboardRun, List<TimeSeriesData> timeSeriesData)
public final WriteTensorboardRunDataResponse writeTensorboardRunData(TensorboardRunName tensorboardRun, List<TimeSeriesData> timeSeriesData)
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If any data fail to be ingested, an error is returned.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
TensorboardRunName tensorboardRun =
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]");
List<TimeSeriesData> timeSeriesData = new ArrayList<>();
WriteTensorboardRunDataResponse response =
tensorboardServiceClient.writeTensorboardRunData(tensorboardRun, timeSeriesData);
}
Parameters | |
---|---|
Name | Description |
tensorboardRun | TensorboardRunName Required. The resource name of the TensorboardRun to write data to.
Format:
|
timeSeriesData | List<TimeSeriesData> Required. The TensorboardTimeSeries data to write. Values with in a time series are indexed by their step value. Repeated writes to the same step will overwrite the existing value for that step. The upper limit of data points per write request is 5000. |
Returns | |
---|---|
Type | Description |
WriteTensorboardRunDataResponse |
writeTensorboardRunData(WriteTensorboardRunDataRequest request)
public final 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.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
WriteTensorboardRunDataRequest request =
WriteTensorboardRunDataRequest.newBuilder()
.setTensorboardRun(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.addAllTimeSeriesData(new ArrayList<TimeSeriesData>())
.build();
WriteTensorboardRunDataResponse response =
tensorboardServiceClient.writeTensorboardRunData(request);
}
Parameter | |
---|---|
Name | Description |
request | WriteTensorboardRunDataRequest The request object containing all of the parameters for the API call. |
Returns | |
---|---|
Type | Description |
WriteTensorboardRunDataResponse |
writeTensorboardRunData(String tensorboardRun, List<TimeSeriesData> timeSeriesData)
public final WriteTensorboardRunDataResponse writeTensorboardRunData(String tensorboardRun, List<TimeSeriesData> timeSeriesData)
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If any data fail to be ingested, an error is returned.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
String tensorboardRun =
TensorboardRunName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString();
List<TimeSeriesData> timeSeriesData = new ArrayList<>();
WriteTensorboardRunDataResponse response =
tensorboardServiceClient.writeTensorboardRunData(tensorboardRun, timeSeriesData);
}
Parameters | |
---|---|
Name | Description |
tensorboardRun | String Required. The resource name of the TensorboardRun to write data to.
Format:
|
timeSeriesData | List<TimeSeriesData> Required. The TensorboardTimeSeries data to write. Values with in a time series are indexed by their step value. Repeated writes to the same step will overwrite the existing value for that step. The upper limit of data points per write request is 5000. |
Returns | |
---|---|
Type | Description |
WriteTensorboardRunDataResponse |
writeTensorboardRunDataCallable()
public final UnaryCallable<WriteTensorboardRunDataRequest,WriteTensorboardRunDataResponse> writeTensorboardRunDataCallable()
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If any data fail to be ingested, an error is returned.
Sample code:
// This snippet has been automatically generated and should be regarded as a code template only.
// It will require modifications to work:
// - It may require correct/in-range values for request initialization.
// - It may require specifying regional endpoints when creating the service client as shown in
// https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
WriteTensorboardRunDataRequest request =
WriteTensorboardRunDataRequest.newBuilder()
.setTensorboardRun(
TensorboardRunName.of(
"[PROJECT]", "[LOCATION]", "[TENSORBOARD]", "[EXPERIMENT]", "[RUN]")
.toString())
.addAllTimeSeriesData(new ArrayList<TimeSeriesData>())
.build();
ApiFuture<WriteTensorboardRunDataResponse> future =
tensorboardServiceClient.writeTensorboardRunDataCallable().futureCall(request);
// Do something.
WriteTensorboardRunDataResponse response = future.get();
}
Returns | |
---|---|
Type | Description |
UnaryCallable<WriteTensorboardRunDataRequest,WriteTensorboardRunDataResponse> |