Package com.google.cloud.aiplatform.v1

Class TensorboardServiceClient

  • All Implemented Interfaces:
    com.google.api.gax.core.BackgroundResource, AutoCloseable
    @Generated("by gapic-generator-java")
public class TensorboardServiceClient
extends Object
implements com.google.api.gax.core.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:

    1. 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.
    2. 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.
    3. 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.

    • Constructor Detail

      • TensorboardServiceClient

        protected TensorboardServiceClient​(TensorboardServiceSettings settings)
                            throws IOException
        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.
        Throws:
        IOException

    • Method Detail

      • create

        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).

      • getOperationsClient

        public final com.google.longrunning.OperationsClient getOperationsClient()
        Returns the OperationsClient that can be used to query the status of a long-running operation returned by another API method call.

      • createTensorboardAsync

        public final com.google.api.gax.longrunning.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:
        parent - Required. The resource name of the Location to create the Tensorboard in. Format: `projects/{project}/locations/{location}`
        tensorboard - Required. The Tensorboard to create.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardAsync

        public final com.google.api.gax.longrunning.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:
        parent - Required. The resource name of the Location to create the Tensorboard in. Format: `projects/{project}/locations/{location}`
        tensorboard - Required. The Tensorboard to create.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardAsync

        public final com.google.api.gax.longrunning.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();
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardOperationCallable

        public final com.google.api.gax.rpc.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();
 }

      • createTensorboardCallable

        public final com.google.api.gax.rpc.UnaryCallable<CreateTensorboardRequest,​com.google.longrunning.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();
 }

      • getTensorboard

        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);
 }
        Parameters:
        name - Required. The name of the Tensorboard resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboard

        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);
 }
        Parameters:
        name - Required. The name of the Tensorboard resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboard

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardCallable

        public final com.google.api.gax.rpc.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();
 }

      • updateTensorboardAsync

        public final com.google.api.gax.longrunning.OperationFuture<Tensorboard,​UpdateTensorboardOperationMetadata> updateTensorboardAsync​(Tensorboard tensorboard,
                                                                                                                                         com.google.protobuf.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:
        tensorboard - Required. The Tensorboard's `name` field is used to identify the Tensorboard to be updated. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        updateMask - 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.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateTensorboardAsync

        public final com.google.api.gax.longrunning.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();
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateTensorboardOperationCallable

        public final com.google.api.gax.rpc.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();
 }

      • updateTensorboardCallable

        public final com.google.api.gax.rpc.UnaryCallable<UpdateTensorboardRequest,​com.google.longrunning.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();
 }

      • listTensorboards

        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);
   }
 }
        Parameters:
        parent - Required. The resource name of the Location to list Tensorboards. Format: `projects/{project}/locations/{location}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboards

        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);
   }
 }
        Parameters:
        parent - Required. The resource name of the Location to list Tensorboards. Format: `projects/{project}/locations/{location}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboards

        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);
   }
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardsPagedCallable

        public final com.google.api.gax.rpc.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);
   }
 }

      • listTensorboardsCallable

        public final com.google.api.gax.rpc.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;
     }
   }
 }

      • deleteTensorboardAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        name - Required. The name of the Tensorboard to be deleted. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        name - Required. The name of the Tensorboard to be deleted. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardOperationCallable

        public final com.google.api.gax.rpc.OperationCallable<DeleteTensorboardRequest,​com.google.protobuf.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();
 }

      • deleteTensorboardCallable

        public final com.google.api.gax.rpc.UnaryCallable<DeleteTensorboardRequest,​com.google.longrunning.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();
 }

      • readTensorboardUsage

        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);
 }
        Parameters:
        tensorboard - Required. The name of the Tensorboard resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • readTensorboardUsage

        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);
 }
        Parameters:
        tensorboard - Required. The name of the Tensorboard resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • readTensorboardUsage

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • readTensorboardUsageCallable

        public final com.google.api.gax.rpc.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();
 }

      • readTensorboardSize

        public final ReadTensorboardSizeResponse readTensorboardSize​(TensorboardName tensorboard)
        Returns the storage size 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]");
   ReadTensorboardSizeResponse response =
       tensorboardServiceClient.readTensorboardSize(tensorboard);
 }
        Parameters:
        tensorboard - Required. The name of the Tensorboard resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • readTensorboardSize

        public final ReadTensorboardSizeResponse readTensorboardSize​(String tensorboard)
        Returns the storage size 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();
   ReadTensorboardSizeResponse response =
       tensorboardServiceClient.readTensorboardSize(tensorboard);
 }
        Parameters:
        tensorboard - Required. The name of the Tensorboard resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • readTensorboardSize

        public final ReadTensorboardSizeResponse readTensorboardSize​(ReadTensorboardSizeRequest request)
        Returns the storage size 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()) {
   ReadTensorboardSizeRequest request =
       ReadTensorboardSizeRequest.newBuilder()
           .setTensorboard(
               TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
           .build();
   ReadTensorboardSizeResponse response = tensorboardServiceClient.readTensorboardSize(request);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • readTensorboardSizeCallable

        public final com.google.api.gax.rpc.UnaryCallable<ReadTensorboardSizeRequest,​ReadTensorboardSizeResponse> readTensorboardSizeCallable()
        Returns the storage size 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()) {
   ReadTensorboardSizeRequest request =
       ReadTensorboardSizeRequest.newBuilder()
           .setTensorboard(
               TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
           .build();
   ApiFuture<ReadTensorboardSizeResponse> future =
       tensorboardServiceClient.readTensorboardSizeCallable().futureCall(request);
   // Do something.
   ReadTensorboardSizeResponse response = future.get();
 }

      • createTensorboardExperiment

        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:
        parent - Required. The resource name of the Tensorboard to create the TensorboardExperiment in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        tensorboardExperiment - The TensorboardExperiment to create.
        tensorboardExperimentId - 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][0-9]-/.

        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardExperiment

        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:
        parent - Required. The resource name of the Tensorboard to create the TensorboardExperiment in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        tensorboardExperiment - The TensorboardExperiment to create.
        tensorboardExperimentId - 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][0-9]-/.

        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardExperiment

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardExperimentCallable

        public final com.google.api.gax.rpc.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();
 }

      • getTensorboardExperiment

        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);
 }
        Parameters:
        name - Required. The name of the TensorboardExperiment resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardExperiment

        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);
 }
        Parameters:
        name - Required. The name of the TensorboardExperiment resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardExperiment

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardExperimentCallable

        public final com.google.api.gax.rpc.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();
 }

      • updateTensorboardExperiment

        public final TensorboardExperiment updateTensorboardExperiment​(TensorboardExperiment tensorboardExperiment,
                                                               com.google.protobuf.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:
        tensorboardExperiment - Required. The TensorboardExperiment's `name` field is used to identify the TensorboardExperiment to be updated. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        updateMask - 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.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateTensorboardExperiment

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateTensorboardExperimentCallable

        public final com.google.api.gax.rpc.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();
 }

      • listTensorboardExperiments

        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);
   }
 }
        Parameters:
        parent - Required. The resource name of the Tensorboard to list TensorboardExperiments. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardExperiments

        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);
   }
 }
        Parameters:
        parent - Required. The resource name of the Tensorboard to list TensorboardExperiments. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardExperiments

        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);
   }
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardExperimentsPagedCallable

        public final com.google.api.gax.rpc.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);
   }
 }

      • listTensorboardExperimentsCallable

        public final com.google.api.gax.rpc.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;
     }
   }
 }

      • deleteTensorboardExperimentAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        name - Required. The name of the TensorboardExperiment to be deleted. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardExperimentAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        name - Required. The name of the TensorboardExperiment to be deleted. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardExperimentAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardExperimentOperationCallable

        public final com.google.api.gax.rpc.OperationCallable<DeleteTensorboardExperimentRequest,​com.google.protobuf.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();
 }

      • deleteTensorboardExperimentCallable

        public final com.google.api.gax.rpc.UnaryCallable<DeleteTensorboardExperimentRequest,​com.google.longrunning.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();
 }

      • createTensorboardRun

        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:
        parent - Required. The resource name of the TensorboardExperiment to create the TensorboardRun in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        tensorboardRun - Required. The TensorboardRun to create.
        tensorboardRunId - 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][0-9]-/.

        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardRun

        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:
        parent - Required. The resource name of the TensorboardExperiment to create the TensorboardRun in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        tensorboardRun - Required. The TensorboardRun to create.
        tensorboardRunId - 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][0-9]-/.

        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardRun

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardRunCallable

        public final com.google.api.gax.rpc.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();
 }

      • batchCreateTensorboardRuns

        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:
        parent - Required. The resource name of the TensorboardExperiment to create the TensorboardRuns in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` The parent field in the CreateTensorboardRunRequest messages must match this field.
        requests - Required. The request message specifying the TensorboardRuns to create. A maximum of 1000 TensorboardRuns can be created in a batch.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchCreateTensorboardRuns

        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:
        parent - Required. The resource name of the TensorboardExperiment to create the TensorboardRuns in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` The parent field in the CreateTensorboardRunRequest messages must match this field.
        requests - Required. The request message specifying the TensorboardRuns to create. A maximum of 1000 TensorboardRuns can be created in a batch.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchCreateTensorboardRuns

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchCreateTensorboardRunsCallable

        public final com.google.api.gax.rpc.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();
 }

      • getTensorboardRun

        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);
 }
        Parameters:
        name - Required. The name of the TensorboardRun resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardRun

        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);
 }
        Parameters:
        name - Required. The name of the TensorboardRun resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardRun

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardRunCallable

        public final com.google.api.gax.rpc.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();
 }

      • updateTensorboardRun

        public final TensorboardRun updateTensorboardRun​(TensorboardRun tensorboardRun,
                                                 com.google.protobuf.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:
        tensorboardRun - Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to be updated. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        updateMask - 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.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateTensorboardRun

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateTensorboardRunCallable

        public final com.google.api.gax.rpc.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();
 }

      • listTensorboardRuns

        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);
   }
 }
        Parameters:
        parent - Required. The resource name of the TensorboardExperiment to list TensorboardRuns. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardRuns

        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);
   }
 }
        Parameters:
        parent - Required. The resource name of the TensorboardExperiment to list TensorboardRuns. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardRuns

        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);
   }
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardRunsPagedCallable

        public final com.google.api.gax.rpc.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);
   }
 }

      • listTensorboardRunsCallable

        public final com.google.api.gax.rpc.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;
     }
   }
 }

      • deleteTensorboardRunAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        name - Required. The name of the TensorboardRun to be deleted. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardRunAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        name - Required. The name of the TensorboardRun to be deleted. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardRunAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardRunOperationCallable

        public final com.google.api.gax.rpc.OperationCallable<DeleteTensorboardRunRequest,​com.google.protobuf.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();
 }

      • deleteTensorboardRunCallable

        public final com.google.api.gax.rpc.UnaryCallable<DeleteTensorboardRunRequest,​com.google.longrunning.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();
 }

      • batchCreateTensorboardTimeSeries

        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:
        parent - Required. The resource name of the TensorboardExperiment to create the TensorboardTimeSeries in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` The TensorboardRuns referenced by the parent fields in the CreateTensorboardTimeSeriesRequest messages must be sub resources of this TensorboardExperiment.
        requests - Required. The request message specifying the TensorboardTimeSeries to create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchCreateTensorboardTimeSeries

        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:
        parent - Required. The resource name of the TensorboardExperiment to create the TensorboardTimeSeries in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` The TensorboardRuns referenced by the parent fields in the CreateTensorboardTimeSeriesRequest messages must be sub resources of this TensorboardExperiment.
        requests - Required. The request message specifying the TensorboardTimeSeries to create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchCreateTensorboardTimeSeries

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchCreateTensorboardTimeSeriesCallable

        public final com.google.api.gax.rpc.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();
 }

      • createTensorboardTimeSeries

        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:
        parent - Required. The resource name of the TensorboardRun to create the TensorboardTimeSeries in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        tensorboardTimeSeries - Required. The TensorboardTimeSeries to create.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardTimeSeries

        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:
        parent - Required. The resource name of the TensorboardRun to create the TensorboardTimeSeries in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        tensorboardTimeSeries - Required. The TensorboardTimeSeries to create.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardTimeSeries

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • createTensorboardTimeSeriesCallable

        public final com.google.api.gax.rpc.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();
 }

      • getTensorboardTimeSeries

        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);
 }
        Parameters:
        name - Required. The name of the TensorboardTimeSeries resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardTimeSeries

        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);
 }
        Parameters:
        name - Required. The name of the TensorboardTimeSeries resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardTimeSeries

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getTensorboardTimeSeriesCallable

        public final com.google.api.gax.rpc.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();
 }

      • updateTensorboardTimeSeries

        public final TensorboardTimeSeries updateTensorboardTimeSeries​(TensorboardTimeSeries tensorboardTimeSeries,
                                                               com.google.protobuf.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:
        tensorboardTimeSeries - Required. The TensorboardTimeSeries' `name` field is used to identify the TensorboardTimeSeries to be updated. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
        updateMask - 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.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateTensorboardTimeSeries

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • updateTensorboardTimeSeriesCallable

        public final com.google.api.gax.rpc.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();
 }

      • listTensorboardTimeSeries

        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);
   }
 }
        Parameters:
        parent - Required. The resource name of the TensorboardRun to list TensorboardTimeSeries. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardTimeSeries

        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);
   }
 }
        Parameters:
        parent - Required. The resource name of the TensorboardRun to list TensorboardTimeSeries. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardTimeSeries

        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);
   }
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listTensorboardTimeSeriesPagedCallable

        public final com.google.api.gax.rpc.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);
   }
 }

      • listTensorboardTimeSeriesCallable

        public final com.google.api.gax.rpc.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;
     }
   }
 }

      • deleteTensorboardTimeSeriesAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        name - Required. The name of the TensorboardTimeSeries to be deleted. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardTimeSeriesAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        name - Required. The name of the TensorboardTimeSeries to be deleted. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardTimeSeriesAsync

        public final com.google.api.gax.longrunning.OperationFuture<com.google.protobuf.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();
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • deleteTensorboardTimeSeriesOperationCallable

        public final com.google.api.gax.rpc.OperationCallable<DeleteTensorboardTimeSeriesRequest,​com.google.protobuf.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();
 }

      • deleteTensorboardTimeSeriesCallable

        public final com.google.api.gax.rpc.UnaryCallable<DeleteTensorboardTimeSeriesRequest,​com.google.longrunning.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();
 }

      • batchReadTensorboardTimeSeriesData

        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);
 }
        Parameters:
        tensorboard - Required. The resource name of the Tensorboard containing TensorboardTimeSeries to read data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`. The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub resources of this Tensorboard.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchReadTensorboardTimeSeriesData

        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);
 }
        Parameters:
        tensorboard - Required. The resource name of the Tensorboard containing TensorboardTimeSeries to read data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`. The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub resources of this Tensorboard.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchReadTensorboardTimeSeriesData

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • batchReadTensorboardTimeSeriesDataCallable

        public final com.google.api.gax.rpc.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();
 }

      • readTensorboardTimeSeriesData

        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);
 }
        Parameters:
        tensorboardTimeSeries - Required. The resource name of the TensorboardTimeSeries to read data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • readTensorboardTimeSeriesData

        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);
 }
        Parameters:
        tensorboardTimeSeries - Required. The resource name of the TensorboardTimeSeries to read data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • readTensorboardTimeSeriesData

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • readTensorboardTimeSeriesDataCallable

        public final com.google.api.gax.rpc.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();
 }

      • readTensorboardBlobDataCallable

        public final com.google.api.gax.rpc.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.
   }
 }

      • writeTensorboardExperimentData

        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:
        tensorboardExperiment - Required. The resource name of the TensorboardExperiment to write data to. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        writeRunDataRequests - Required. Requests containing per-run TensorboardTimeSeries data to write.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • writeTensorboardExperimentData

        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:
        tensorboardExperiment - Required. The resource name of the TensorboardExperiment to write data to. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
        writeRunDataRequests - Required. Requests containing per-run TensorboardTimeSeries data to write.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • writeTensorboardExperimentData

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • writeTensorboardExperimentDataCallable

        public final com.google.api.gax.rpc.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();
 }

      • writeTensorboardRunData

        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:
        tensorboardRun - Required. The resource name of the TensorboardRun to write data to. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        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.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • writeTensorboardRunData

        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:
        tensorboardRun - Required. The resource name of the TensorboardRun to write data to. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
        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.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • writeTensorboardRunData

        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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • writeTensorboardRunDataCallable

        public final com.google.api.gax.rpc.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();
 }

      • exportTensorboardTimeSeriesData

        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);
   }
 }
        Parameters:
        tensorboardTimeSeries - Required. The resource name of the TensorboardTimeSeries to export data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • exportTensorboardTimeSeriesData

        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);
   }
 }
        Parameters:
        tensorboardTimeSeries - Required. The resource name of the TensorboardTimeSeries to export data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • exportTensorboardTimeSeriesData

        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);
   }
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • exportTensorboardTimeSeriesDataPagedCallable

        public final com.google.api.gax.rpc.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);
   }
 }

      • exportTensorboardTimeSeriesDataCallable

        public final com.google.api.gax.rpc.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;
     }
   }
 }

      • listLocations

        public final TensorboardServiceClient.ListLocationsPagedResponse listLocations​(com.google.cloud.location.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);
   }
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • listLocationsPagedCallable

        public final com.google.api.gax.rpc.UnaryCallable<com.google.cloud.location.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);
   }
 }

      • listLocationsCallable

        public final com.google.api.gax.rpc.UnaryCallable<com.google.cloud.location.ListLocationsRequest,​com.google.cloud.location.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;
     }
   }
 }

      • getLocation

        public final com.google.cloud.location.Location getLocation​(com.google.cloud.location.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);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getLocationCallable

        public final com.google.api.gax.rpc.UnaryCallable<com.google.cloud.location.GetLocationRequest,​com.google.cloud.location.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();
 }

      • setIamPolicy

        public final com.google.iam.v1.Policy setIamPolicy​(com.google.iam.v1.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(
               EndpointName.ofProjectLocationEndpointName(
                       "[PROJECT]", "[LOCATION]", "[ENDPOINT]")
                   .toString())
           .setPolicy(Policy.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   Policy response = tensorboardServiceClient.setIamPolicy(request);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • setIamPolicyCallable

        public final com.google.api.gax.rpc.UnaryCallable<com.google.iam.v1.SetIamPolicyRequest,​com.google.iam.v1.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(
               EndpointName.ofProjectLocationEndpointName(
                       "[PROJECT]", "[LOCATION]", "[ENDPOINT]")
                   .toString())
           .setPolicy(Policy.newBuilder().build())
           .setUpdateMask(FieldMask.newBuilder().build())
           .build();
   ApiFuture<Policy> future =
       tensorboardServiceClient.setIamPolicyCallable().futureCall(request);
   // Do something.
   Policy response = future.get();
 }

      • getIamPolicy

        public final com.google.iam.v1.Policy getIamPolicy​(com.google.iam.v1.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(
               EndpointName.ofProjectLocationEndpointName(
                       "[PROJECT]", "[LOCATION]", "[ENDPOINT]")
                   .toString())
           .setOptions(GetPolicyOptions.newBuilder().build())
           .build();
   Policy response = tensorboardServiceClient.getIamPolicy(request);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • getIamPolicyCallable

        public final com.google.api.gax.rpc.UnaryCallable<com.google.iam.v1.GetIamPolicyRequest,​com.google.iam.v1.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(
               EndpointName.ofProjectLocationEndpointName(
                       "[PROJECT]", "[LOCATION]", "[ENDPOINT]")
                   .toString())
           .setOptions(GetPolicyOptions.newBuilder().build())
           .build();
   ApiFuture<Policy> future =
       tensorboardServiceClient.getIamPolicyCallable().futureCall(request);
   // Do something.
   Policy response = future.get();
 }

      • testIamPermissions

        public final com.google.iam.v1.TestIamPermissionsResponse testIamPermissions​(com.google.iam.v1.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(
               EndpointName.ofProjectLocationEndpointName(
                       "[PROJECT]", "[LOCATION]", "[ENDPOINT]")
                   .toString())
           .addAllPermissions(new ArrayList<String>())
           .build();
   TestIamPermissionsResponse response = tensorboardServiceClient.testIamPermissions(request);
 }
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails

      • testIamPermissionsCallable

        public final com.google.api.gax.rpc.UnaryCallable<com.google.iam.v1.TestIamPermissionsRequest,​com.google.iam.v1.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(
               EndpointName.ofProjectLocationEndpointName(
                       "[PROJECT]", "[LOCATION]", "[ENDPOINT]")
                   .toString())
           .addAllPermissions(new ArrayList<String>())
           .build();
   ApiFuture<TestIamPermissionsResponse> future =
       tensorboardServiceClient.testIamPermissionsCallable().futureCall(request);
   // Do something.
   TestIamPermissionsResponse response = future.get();
 }

      • shutdown

        public void shutdown()
        Specified by:
        shutdown in interface com.google.api.gax.core.BackgroundResource

      • isShutdown

        public boolean isShutdown()
        Specified by:
        isShutdown in interface com.google.api.gax.core.BackgroundResource

      • isTerminated

        public boolean isTerminated()
        Specified by:
        isTerminated in interface com.google.api.gax.core.BackgroundResource

      • shutdownNow

        public void shutdownNow()
        Specified by:
        shutdownNow in interface com.google.api.gax.core.BackgroundResource