Package com.google.cloud.aiplatform.v1

Class TensorboardServiceSettings

java.lang.Object
com.google.api.gax.rpc.ClientSettings<TensorboardServiceSettings>
com.google.cloud.aiplatform.v1.TensorboardServiceSettings
@Generated("by gapic-generator-java") public class TensorboardServiceSettings extends ClientSettings<TensorboardServiceSettings>
Settings class to configure an instance of TensorboardServiceClient.

The default instance has everything set to sensible defaults:

  • The default service address (aiplatform.googleapis.com) and default port (443) are used.
  • Credentials are acquired automatically through Application Default Credentials.
  • Retries are configured for idempotent methods but not for non-idempotent methods.

The builder of this class is recursive, so contained classes are themselves builders. When build() is called, the tree of builders is called to create the complete settings object.

For example, to set the [RetrySettings](https://cloud.google.com/java/docs/reference/gax/latest/com.google.api.gax.retrying.RetrySettings) of getTensorboard: 


 // 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.Builder tensorboardServiceSettingsBuilder =
     TensorboardServiceSettings.newBuilder();
 tensorboardServiceSettingsBuilder
     .getTensorboardSettings()
     .setRetrySettings(
         tensorboardServiceSettingsBuilder
             .getTensorboardSettings()
             .getRetrySettings()
             .toBuilder()
             .setInitialRetryDelayDuration(Duration.ofSeconds(1))
             .setInitialRpcTimeoutDuration(Duration.ofSeconds(5))
             .setMaxAttempts(5)
             .setMaxRetryDelayDuration(Duration.ofSeconds(30))
             .setMaxRpcTimeoutDuration(Duration.ofSeconds(60))
             .setRetryDelayMultiplier(1.3)
             .setRpcTimeoutMultiplier(1.5)
             .setTotalTimeoutDuration(Duration.ofSeconds(300))
             .build());
 TensorboardServiceSettings tensorboardServiceSettings =
     tensorboardServiceSettingsBuilder.build();
Please refer to the [Client Side Retry Guide](https://docs.cloud.google.com/java/docs/client-retries) for additional support in setting retries.

To configure the RetrySettings of a Long Running Operation method, create an OperationTimedPollAlgorithm object and update the RPC's polling algorithm. For example, to configure the RetrySettings for createTensorboard: 


 // 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.Builder tensorboardServiceSettingsBuilder =
     TensorboardServiceSettings.newBuilder();
 TimedRetryAlgorithm timedRetryAlgorithm =
     OperationalTimedPollAlgorithm.create(
         RetrySettings.newBuilder()
             .setInitialRetryDelayDuration(Duration.ofMillis(500))
             .setRetryDelayMultiplier(1.5)
             .setMaxRetryDelayDuration(Duration.ofMillis(5000))
             .setTotalTimeoutDuration(Duration.ofHours(24))
             .build());
 tensorboardServiceSettingsBuilder
     .createClusterOperationSettings()
     .setPollingAlgorithm(timedRetryAlgorithm)
     .build();