TensorboardServiceClient.java
/*
* Copyright 2022 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.google.cloud.aiplatform.v1beta1;
import com.google.api.core.ApiFuture;
import com.google.api.core.ApiFutures;
import com.google.api.core.BetaApi;
import com.google.api.gax.core.BackgroundResource;
import com.google.api.gax.longrunning.OperationFuture;
import com.google.api.gax.paging.AbstractFixedSizeCollection;
import com.google.api.gax.paging.AbstractPage;
import com.google.api.gax.paging.AbstractPagedListResponse;
import com.google.api.gax.rpc.OperationCallable;
import com.google.api.gax.rpc.PageContext;
import com.google.api.gax.rpc.ServerStreamingCallable;
import com.google.api.gax.rpc.UnaryCallable;
import com.google.cloud.aiplatform.v1beta1.stub.TensorboardServiceStub;
import com.google.cloud.aiplatform.v1beta1.stub.TensorboardServiceStubSettings;
import com.google.cloud.location.GetLocationRequest;
import com.google.cloud.location.ListLocationsRequest;
import com.google.cloud.location.ListLocationsResponse;
import com.google.cloud.location.Location;
import com.google.common.util.concurrent.MoreExecutors;
import com.google.iam.v1.GetIamPolicyRequest;
import com.google.iam.v1.Policy;
import com.google.iam.v1.SetIamPolicyRequest;
import com.google.iam.v1.TestIamPermissionsRequest;
import com.google.iam.v1.TestIamPermissionsResponse;
import com.google.longrunning.Operation;
import com.google.longrunning.OperationsClient;
import com.google.protobuf.Empty;
import com.google.protobuf.FieldMask;
import java.io.IOException;
import java.util.List;
import java.util.concurrent.TimeUnit;
import javax.annotation.Generated;
// AUTO-GENERATED DOCUMENTATION AND CLASS.
/**
* Service Description: TensorboardService
*
* <p>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:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* <p>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().
*
* <p>The surface of this class includes several types of Java methods for each of the API's
* methods:
*
* <ol>
* <li>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.
* <li>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.
* <li>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.
* </ol>
*
* <p>See the individual methods for example code.
*
* <p>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.
*
* <p>This class can be customized by passing in a custom instance of TensorboardServiceSettings to
* create(). For example:
*
* <p>To customize credentials:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require 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);
* }</pre>
*
* <p>To customize the endpoint:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require 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);
* }</pre>
*
* <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
*/
@BetaApi
@Generated("by gapic-generator-java")
public class TensorboardServiceClient implements BackgroundResource {
private final TensorboardServiceSettings settings;
private final TensorboardServiceStub stub;
private final OperationsClient operationsClient;
/** Constructs an instance of TensorboardServiceClient with default settings. */
public static final TensorboardServiceClient create() throws IOException {
return create(TensorboardServiceSettings.newBuilder().build());
}
/**
* Constructs an instance of TensorboardServiceClient, using the given settings. The channels are
* created based on the settings passed in, or defaults for any settings that are not set.
*/
public static final TensorboardServiceClient create(TensorboardServiceSettings settings)
throws IOException {
return new TensorboardServiceClient(settings);
}
/**
* Constructs an instance of TensorboardServiceClient, using the given stub for making calls. This
* is for advanced usage - prefer using create(TensorboardServiceSettings).
*/
public static final TensorboardServiceClient create(TensorboardServiceStub stub) {
return new TensorboardServiceClient(stub);
}
/**
* 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.
*/
protected TensorboardServiceClient(TensorboardServiceSettings settings) throws IOException {
this.settings = settings;
this.stub = ((TensorboardServiceStubSettings) settings.getStubSettings()).createStub();
this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
}
protected TensorboardServiceClient(TensorboardServiceStub stub) {
this.settings = null;
this.stub = stub;
this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
}
public final TensorboardServiceSettings getSettings() {
return settings;
}
public TensorboardServiceStub getStub() {
return stub;
}
/**
* Returns the OperationsClient that can be used to query the status of a long-running operation
* returned by another API method call.
*/
public final OperationsClient getOperationsClient() {
return operationsClient;
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param parent Required. The resource name of the Location to create the Tensorboard in. Format:
* `projects/{project}/locations/{location}`
* @param tensorboard Required. The Tensorboard to create.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final OperationFuture<Tensorboard, CreateTensorboardOperationMetadata>
createTensorboardAsync(TensorboardName parent, Tensorboard tensorboard) {
CreateTensorboardRequest request =
CreateTensorboardRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.setTensorboard(tensorboard)
.build();
return createTensorboardAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param parent Required. The resource name of the Location to create the Tensorboard in. Format:
* `projects/{project}/locations/{location}`
* @param tensorboard Required. The Tensorboard to create.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final OperationFuture<Tensorboard, CreateTensorboardOperationMetadata>
createTensorboardAsync(String parent, Tensorboard tensorboard) {
CreateTensorboardRequest request =
CreateTensorboardRequest.newBuilder().setParent(parent).setTensorboard(tensorboard).build();
return createTensorboardAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Tensorboard, CreateTensorboardOperationMetadata>
createTensorboardAsync(CreateTensorboardRequest request) {
return createTensorboardOperationCallable().futureCall(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final OperationCallable<
CreateTensorboardRequest, Tensorboard, CreateTensorboardOperationMetadata>
createTensorboardOperationCallable() {
return stub.createTensorboardOperationCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<CreateTensorboardRequest, Operation> createTensorboardCallable() {
return stub.createTensorboardCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final Tensorboard getTensorboard(TensorboardName name) {
GetTensorboardRequest request =
GetTensorboardRequest.newBuilder().setName(name == null ? null : name.toString()).build();
return getTensorboard(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final Tensorboard getTensorboard(String name) {
GetTensorboardRequest request = GetTensorboardRequest.newBuilder().setName(name).build();
return getTensorboard(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final Tensorboard getTensorboard(GetTensorboardRequest request) {
return getTensorboardCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<GetTensorboardRequest, Tensorboard> getTensorboardCallable() {
return stub.getTensorboardCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param tensorboard Required. The Tensorboard's `name` field is used to identify the Tensorboard
* to be updated. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
* @param 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 will be overwritten if it is in the mask. If
* the user does not provide a mask then all fields will be overwritten if new values are
* specified.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final OperationFuture<Tensorboard, UpdateTensorboardOperationMetadata>
updateTensorboardAsync(Tensorboard tensorboard, FieldMask updateMask) {
UpdateTensorboardRequest request =
UpdateTensorboardRequest.newBuilder()
.setTensorboard(tensorboard)
.setUpdateMask(updateMask)
.build();
return updateTensorboardAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Tensorboard, UpdateTensorboardOperationMetadata>
updateTensorboardAsync(UpdateTensorboardRequest request) {
return updateTensorboardOperationCallable().futureCall(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final OperationCallable<
UpdateTensorboardRequest, Tensorboard, UpdateTensorboardOperationMetadata>
updateTensorboardOperationCallable() {
return stub.updateTensorboardOperationCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<UpdateTensorboardRequest, Operation> updateTensorboardCallable() {
return stub.updateTensorboardCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists Tensorboards in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardsPagedResponse listTensorboards(LocationName parent) {
ListTensorboardsRequest request =
ListTensorboardsRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.build();
return listTensorboards(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists Tensorboards in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardsPagedResponse listTensorboards(String parent) {
ListTensorboardsRequest request =
ListTensorboardsRequest.newBuilder().setParent(parent).build();
return listTensorboards(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists Tensorboards in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardsPagedResponse listTensorboards(ListTensorboardsRequest request) {
return listTensorboardsPagedCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists Tensorboards in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*/
public final UnaryCallable<ListTensorboardsRequest, ListTensorboardsPagedResponse>
listTensorboardsPagedCallable() {
return stub.listTensorboardsPagedCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists Tensorboards in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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;
* }
* }
* }
* }</pre>
*/
public final UnaryCallable<ListTensorboardsRequest, ListTensorboardsResponse>
listTensorboardsCallable() {
return stub.listTensorboardsCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardAsync(
TensorboardName name) {
DeleteTensorboardRequest request =
DeleteTensorboardRequest.newBuilder()
.setName(name == null ? null : name.toString())
.build();
return deleteTensorboardAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardAsync(String name) {
DeleteTensorboardRequest request = DeleteTensorboardRequest.newBuilder().setName(name).build();
return deleteTensorboardAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardAsync(
DeleteTensorboardRequest request) {
return deleteTensorboardOperationCallable().futureCall(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final OperationCallable<DeleteTensorboardRequest, Empty, DeleteOperationMetadata>
deleteTensorboardOperationCallable() {
return stub.deleteTensorboardOperationCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a Tensorboard.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<DeleteTensorboardRequest, Operation> deleteTensorboardCallable() {
return stub.deleteTensorboardCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param parent Required. The resource name of the Tensorboard to create the
* TensorboardExperiment in. Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
* @param tensorboardExperiment The TensorboardExperiment to create.
* @param tensorboardExperimentId Required. The ID to use for the Tensorboard experiment, which
* will become the final component of the Tensorboard experiment's resource name.
* <p>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
*/
public final TensorboardExperiment createTensorboardExperiment(
TensorboardExperimentName parent,
TensorboardExperiment tensorboardExperiment,
String tensorboardExperimentId) {
CreateTensorboardExperimentRequest request =
CreateTensorboardExperimentRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.setTensorboardExperiment(tensorboardExperiment)
.setTensorboardExperimentId(tensorboardExperimentId)
.build();
return createTensorboardExperiment(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param parent Required. The resource name of the Tensorboard to create the
* TensorboardExperiment in. Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
* @param tensorboardExperiment The TensorboardExperiment to create.
* @param tensorboardExperimentId Required. The ID to use for the Tensorboard experiment, which
* will become the final component of the Tensorboard experiment's resource name.
* <p>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
*/
public final TensorboardExperiment createTensorboardExperiment(
String parent, TensorboardExperiment tensorboardExperiment, String tensorboardExperimentId) {
CreateTensorboardExperimentRequest request =
CreateTensorboardExperimentRequest.newBuilder()
.setParent(parent)
.setTensorboardExperiment(tensorboardExperiment)
.setTensorboardExperimentId(tensorboardExperimentId)
.build();
return createTensorboardExperiment(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardExperiment createTensorboardExperiment(
CreateTensorboardExperimentRequest request) {
return createTensorboardExperimentCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<CreateTensorboardExperimentRequest, TensorboardExperiment>
createTensorboardExperimentCallable() {
return stub.createTensorboardExperimentCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardExperiment getTensorboardExperiment(TensorboardExperimentName name) {
GetTensorboardExperimentRequest request =
GetTensorboardExperimentRequest.newBuilder()
.setName(name == null ? null : name.toString())
.build();
return getTensorboardExperiment(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardExperiment getTensorboardExperiment(String name) {
GetTensorboardExperimentRequest request =
GetTensorboardExperimentRequest.newBuilder().setName(name).build();
return getTensorboardExperiment(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardExperiment getTensorboardExperiment(
GetTensorboardExperimentRequest request) {
return getTensorboardExperimentCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<GetTensorboardExperimentRequest, TensorboardExperiment>
getTensorboardExperimentCallable() {
return stub.getTensorboardExperimentCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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}`
* @param 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 will be overwritten if it is in the
* mask. If the user does not provide a mask then all fields will be overwritten if new values
* are specified.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final TensorboardExperiment updateTensorboardExperiment(
TensorboardExperiment tensorboardExperiment, FieldMask updateMask) {
UpdateTensorboardExperimentRequest request =
UpdateTensorboardExperimentRequest.newBuilder()
.setTensorboardExperiment(tensorboardExperiment)
.setUpdateMask(updateMask)
.build();
return updateTensorboardExperiment(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardExperiment updateTensorboardExperiment(
UpdateTensorboardExperimentRequest request) {
return updateTensorboardExperimentCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<UpdateTensorboardExperimentRequest, TensorboardExperiment>
updateTensorboardExperimentCallable() {
return stub.updateTensorboardExperimentCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardExperiments in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardExperimentsPagedResponse listTensorboardExperiments(
TensorboardName parent) {
ListTensorboardExperimentsRequest request =
ListTensorboardExperimentsRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.build();
return listTensorboardExperiments(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardExperiments in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardExperimentsPagedResponse listTensorboardExperiments(String parent) {
ListTensorboardExperimentsRequest request =
ListTensorboardExperimentsRequest.newBuilder().setParent(parent).build();
return listTensorboardExperiments(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardExperiments in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardExperimentsPagedResponse listTensorboardExperiments(
ListTensorboardExperimentsRequest request) {
return listTensorboardExperimentsPagedCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardExperiments in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*/
public final UnaryCallable<
ListTensorboardExperimentsRequest, ListTensorboardExperimentsPagedResponse>
listTensorboardExperimentsPagedCallable() {
return stub.listTensorboardExperimentsPagedCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardExperiments in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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;
* }
* }
* }
* }</pre>
*/
public final UnaryCallable<ListTensorboardExperimentsRequest, ListTensorboardExperimentsResponse>
listTensorboardExperimentsCallable() {
return stub.listTensorboardExperimentsCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardExperimentAsync(
TensorboardExperimentName name) {
DeleteTensorboardExperimentRequest request =
DeleteTensorboardExperimentRequest.newBuilder()
.setName(name == null ? null : name.toString())
.build();
return deleteTensorboardExperimentAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardExperimentAsync(
String name) {
DeleteTensorboardExperimentRequest request =
DeleteTensorboardExperimentRequest.newBuilder().setName(name).build();
return deleteTensorboardExperimentAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardExperimentAsync(
DeleteTensorboardExperimentRequest request) {
return deleteTensorboardExperimentOperationCallable().futureCall(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final OperationCallable<DeleteTensorboardExperimentRequest, Empty, DeleteOperationMetadata>
deleteTensorboardExperimentOperationCallable() {
return stub.deleteTensorboardExperimentOperationCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<DeleteTensorboardExperimentRequest, Operation>
deleteTensorboardExperimentCallable() {
return stub.deleteTensorboardExperimentCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param parent Required. The resource name of the TensorboardExperiment to create the
* TensorboardRun in. Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
* @param tensorboardRun Required. The TensorboardRun to create.
* @param tensorboardRunId Required. The ID to use for the Tensorboard run, which will become the
* final component of the Tensorboard run's resource name.
* <p>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
*/
public final TensorboardRun createTensorboardRun(
TensorboardRunName parent, TensorboardRun tensorboardRun, String tensorboardRunId) {
CreateTensorboardRunRequest request =
CreateTensorboardRunRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.setTensorboardRun(tensorboardRun)
.setTensorboardRunId(tensorboardRunId)
.build();
return createTensorboardRun(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param parent Required. The resource name of the TensorboardExperiment to create the
* TensorboardRun in. Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
* @param tensorboardRun Required. The TensorboardRun to create.
* @param tensorboardRunId Required. The ID to use for the Tensorboard run, which will become the
* final component of the Tensorboard run's resource name.
* <p>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
*/
public final TensorboardRun createTensorboardRun(
String parent, TensorboardRun tensorboardRun, String tensorboardRunId) {
CreateTensorboardRunRequest request =
CreateTensorboardRunRequest.newBuilder()
.setParent(parent)
.setTensorboardRun(tensorboardRun)
.setTensorboardRunId(tensorboardRunId)
.build();
return createTensorboardRun(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardRun createTensorboardRun(CreateTensorboardRunRequest request) {
return createTensorboardRunCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<CreateTensorboardRunRequest, TensorboardRun>
createTensorboardRunCallable() {
return stub.createTensorboardRunCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Batch create TensorboardRuns.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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.
* @param 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
*/
public final BatchCreateTensorboardRunsResponse batchCreateTensorboardRuns(
TensorboardExperimentName parent, List<CreateTensorboardRunRequest> requests) {
BatchCreateTensorboardRunsRequest request =
BatchCreateTensorboardRunsRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.addAllRequests(requests)
.build();
return batchCreateTensorboardRuns(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Batch create TensorboardRuns.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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.
* @param 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
*/
public final BatchCreateTensorboardRunsResponse batchCreateTensorboardRuns(
String parent, List<CreateTensorboardRunRequest> requests) {
BatchCreateTensorboardRunsRequest request =
BatchCreateTensorboardRunsRequest.newBuilder()
.setParent(parent)
.addAllRequests(requests)
.build();
return batchCreateTensorboardRuns(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Batch create TensorboardRuns.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final BatchCreateTensorboardRunsResponse batchCreateTensorboardRuns(
BatchCreateTensorboardRunsRequest request) {
return batchCreateTensorboardRunsCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Batch create TensorboardRuns.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<BatchCreateTensorboardRunsRequest, BatchCreateTensorboardRunsResponse>
batchCreateTensorboardRunsCallable() {
return stub.batchCreateTensorboardRunsCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardRun getTensorboardRun(TensorboardRunName name) {
GetTensorboardRunRequest request =
GetTensorboardRunRequest.newBuilder()
.setName(name == null ? null : name.toString())
.build();
return getTensorboardRun(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardRun getTensorboardRun(String name) {
GetTensorboardRunRequest request = GetTensorboardRunRequest.newBuilder().setName(name).build();
return getTensorboardRun(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardRun getTensorboardRun(GetTensorboardRunRequest request) {
return getTensorboardRunCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<GetTensorboardRunRequest, TensorboardRun> getTensorboardRunCallable() {
return stub.getTensorboardRunCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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}`
* @param 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 will be overwritten if it is in the mask. If
* the user does not provide a mask then all fields will be overwritten if new values are
* specified.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final TensorboardRun updateTensorboardRun(
TensorboardRun tensorboardRun, FieldMask updateMask) {
UpdateTensorboardRunRequest request =
UpdateTensorboardRunRequest.newBuilder()
.setTensorboardRun(tensorboardRun)
.setUpdateMask(updateMask)
.build();
return updateTensorboardRun(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardRun updateTensorboardRun(UpdateTensorboardRunRequest request) {
return updateTensorboardRunCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<UpdateTensorboardRunRequest, TensorboardRun>
updateTensorboardRunCallable() {
return stub.updateTensorboardRunCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardRuns in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardRunsPagedResponse listTensorboardRuns(
TensorboardExperimentName parent) {
ListTensorboardRunsRequest request =
ListTensorboardRunsRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.build();
return listTensorboardRuns(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardRuns in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardRunsPagedResponse listTensorboardRuns(String parent) {
ListTensorboardRunsRequest request =
ListTensorboardRunsRequest.newBuilder().setParent(parent).build();
return listTensorboardRuns(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardRuns in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardRunsPagedResponse listTensorboardRuns(
ListTensorboardRunsRequest request) {
return listTensorboardRunsPagedCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardRuns in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*/
public final UnaryCallable<ListTensorboardRunsRequest, ListTensorboardRunsPagedResponse>
listTensorboardRunsPagedCallable() {
return stub.listTensorboardRunsPagedCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardRuns in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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;
* }
* }
* }
* }</pre>
*/
public final UnaryCallable<ListTensorboardRunsRequest, ListTensorboardRunsResponse>
listTensorboardRunsCallable() {
return stub.listTensorboardRunsCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardRunAsync(
TensorboardRunName name) {
DeleteTensorboardRunRequest request =
DeleteTensorboardRunRequest.newBuilder()
.setName(name == null ? null : name.toString())
.build();
return deleteTensorboardRunAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardRunAsync(
String name) {
DeleteTensorboardRunRequest request =
DeleteTensorboardRunRequest.newBuilder().setName(name).build();
return deleteTensorboardRunAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardRunAsync(
DeleteTensorboardRunRequest request) {
return deleteTensorboardRunOperationCallable().futureCall(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final OperationCallable<DeleteTensorboardRunRequest, Empty, DeleteOperationMetadata>
deleteTensorboardRunOperationCallable() {
return stub.deleteTensorboardRunOperationCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardRun.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<DeleteTensorboardRunRequest, Operation>
deleteTensorboardRunCallable() {
return stub.deleteTensorboardRunCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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.
* @param 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
*/
public final BatchCreateTensorboardTimeSeriesResponse batchCreateTensorboardTimeSeries(
TensorboardExperimentName parent, List<CreateTensorboardTimeSeriesRequest> requests) {
BatchCreateTensorboardTimeSeriesRequest request =
BatchCreateTensorboardTimeSeriesRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.addAllRequests(requests)
.build();
return batchCreateTensorboardTimeSeries(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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.
* @param 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
*/
public final BatchCreateTensorboardTimeSeriesResponse batchCreateTensorboardTimeSeries(
String parent, List<CreateTensorboardTimeSeriesRequest> requests) {
BatchCreateTensorboardTimeSeriesRequest request =
BatchCreateTensorboardTimeSeriesRequest.newBuilder()
.setParent(parent)
.addAllRequests(requests)
.build();
return batchCreateTensorboardTimeSeries(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final BatchCreateTensorboardTimeSeriesResponse batchCreateTensorboardTimeSeries(
BatchCreateTensorboardTimeSeriesRequest request) {
return batchCreateTensorboardTimeSeriesCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<
BatchCreateTensorboardTimeSeriesRequest, BatchCreateTensorboardTimeSeriesResponse>
batchCreateTensorboardTimeSeriesCallable() {
return stub.batchCreateTensorboardTimeSeriesCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param parent Required. The resource name of the TensorboardRun to create the
* TensorboardTimeSeries in. Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
* @param tensorboardTimeSeries Required. The TensorboardTimeSeries to create.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final TensorboardTimeSeries createTensorboardTimeSeries(
TensorboardTimeSeriesName parent, TensorboardTimeSeries tensorboardTimeSeries) {
CreateTensorboardTimeSeriesRequest request =
CreateTensorboardTimeSeriesRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.setTensorboardTimeSeries(tensorboardTimeSeries)
.build();
return createTensorboardTimeSeries(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param parent Required. The resource name of the TensorboardRun to create the
* TensorboardTimeSeries in. Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
* @param tensorboardTimeSeries Required. The TensorboardTimeSeries to create.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final TensorboardTimeSeries createTensorboardTimeSeries(
String parent, TensorboardTimeSeries tensorboardTimeSeries) {
CreateTensorboardTimeSeriesRequest request =
CreateTensorboardTimeSeriesRequest.newBuilder()
.setParent(parent)
.setTensorboardTimeSeries(tensorboardTimeSeries)
.build();
return createTensorboardTimeSeries(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardTimeSeries createTensorboardTimeSeries(
CreateTensorboardTimeSeriesRequest request) {
return createTensorboardTimeSeriesCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Creates a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<CreateTensorboardTimeSeriesRequest, TensorboardTimeSeries>
createTensorboardTimeSeriesCallable() {
return stub.createTensorboardTimeSeriesCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardTimeSeries getTensorboardTimeSeries(TensorboardTimeSeriesName name) {
GetTensorboardTimeSeriesRequest request =
GetTensorboardTimeSeriesRequest.newBuilder()
.setName(name == null ? null : name.toString())
.build();
return getTensorboardTimeSeries(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardTimeSeries getTensorboardTimeSeries(String name) {
GetTensorboardTimeSeriesRequest request =
GetTensorboardTimeSeriesRequest.newBuilder().setName(name).build();
return getTensorboardTimeSeries(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardTimeSeries getTensorboardTimeSeries(
GetTensorboardTimeSeriesRequest request) {
return getTensorboardTimeSeriesCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<GetTensorboardTimeSeriesRequest, TensorboardTimeSeries>
getTensorboardTimeSeriesCallable() {
return stub.getTensorboardTimeSeriesCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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}`
* @param 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 will be overwritten if it is in the
* mask. If the user does not provide a mask then all fields will be overwritten if new values
* are specified.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final TensorboardTimeSeries updateTensorboardTimeSeries(
TensorboardTimeSeries tensorboardTimeSeries, FieldMask updateMask) {
UpdateTensorboardTimeSeriesRequest request =
UpdateTensorboardTimeSeriesRequest.newBuilder()
.setTensorboardTimeSeries(tensorboardTimeSeries)
.setUpdateMask(updateMask)
.build();
return updateTensorboardTimeSeries(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final TensorboardTimeSeries updateTensorboardTimeSeries(
UpdateTensorboardTimeSeriesRequest request) {
return updateTensorboardTimeSeriesCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Updates a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<UpdateTensorboardTimeSeriesRequest, TensorboardTimeSeries>
updateTensorboardTimeSeriesCallable() {
return stub.updateTensorboardTimeSeriesCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardTimeSeries in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardTimeSeriesPagedResponse listTensorboardTimeSeries(
TensorboardRunName parent) {
ListTensorboardTimeSeriesRequest request =
ListTensorboardTimeSeriesRequest.newBuilder()
.setParent(parent == null ? null : parent.toString())
.build();
return listTensorboardTimeSeries(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardTimeSeries in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardTimeSeriesPagedResponse listTensorboardTimeSeries(String parent) {
ListTensorboardTimeSeriesRequest request =
ListTensorboardTimeSeriesRequest.newBuilder().setParent(parent).build();
return listTensorboardTimeSeries(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardTimeSeries in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListTensorboardTimeSeriesPagedResponse listTensorboardTimeSeries(
ListTensorboardTimeSeriesRequest request) {
return listTensorboardTimeSeriesPagedCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardTimeSeries in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*/
public final UnaryCallable<
ListTensorboardTimeSeriesRequest, ListTensorboardTimeSeriesPagedResponse>
listTensorboardTimeSeriesPagedCallable() {
return stub.listTensorboardTimeSeriesPagedCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists TensorboardTimeSeries in a Location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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;
* }
* }
* }
* }</pre>
*/
public final UnaryCallable<ListTensorboardTimeSeriesRequest, ListTensorboardTimeSeriesResponse>
listTensorboardTimeSeriesCallable() {
return stub.listTensorboardTimeSeriesCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardTimeSeriesAsync(
TensorboardTimeSeriesName name) {
DeleteTensorboardTimeSeriesRequest request =
DeleteTensorboardTimeSeriesRequest.newBuilder()
.setName(name == null ? null : name.toString())
.build();
return deleteTensorboardTimeSeriesAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardTimeSeriesAsync(
String name) {
DeleteTensorboardTimeSeriesRequest request =
DeleteTensorboardTimeSeriesRequest.newBuilder().setName(name).build();
return deleteTensorboardTimeSeriesAsync(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*
* @param 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
*/
public final OperationFuture<Empty, DeleteOperationMetadata> deleteTensorboardTimeSeriesAsync(
DeleteTensorboardTimeSeriesRequest request) {
return deleteTensorboardTimeSeriesOperationCallable().futureCall(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final OperationCallable<DeleteTensorboardTimeSeriesRequest, Empty, DeleteOperationMetadata>
deleteTensorboardTimeSeriesOperationCallable() {
return stub.deleteTensorboardTimeSeriesOperationCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Deletes a TensorboardTimeSeries.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<DeleteTensorboardTimeSeriesRequest, Operation>
deleteTensorboardTimeSeriesCallable() {
return stub.deleteTensorboardTimeSeriesCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* 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 will be returned. Otherwise, that limit number of data points will be randomly
* selected from this time series and returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
* must be sub resources of this Tensorboard.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTimeSeriesData(
TensorboardName tensorboard) {
BatchReadTensorboardTimeSeriesDataRequest request =
BatchReadTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboard(tensorboard == null ? null : tensorboard.toString())
.build();
return batchReadTensorboardTimeSeriesData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* 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 will be returned. Otherwise, that limit number of data points will be randomly
* selected from this time series and returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
* must be sub resources of this Tensorboard.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTimeSeriesData(
String tensorboard) {
BatchReadTensorboardTimeSeriesDataRequest request =
BatchReadTensorboardTimeSeriesDataRequest.newBuilder().setTensorboard(tensorboard).build();
return batchReadTensorboardTimeSeriesData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* 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 will be returned. Otherwise, that limit number of data points will be randomly
* selected from this time series and returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTimeSeriesData(
BatchReadTensorboardTimeSeriesDataRequest request) {
return batchReadTensorboardTimeSeriesDataCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* 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 will be returned. Otherwise, that limit number of data points will be randomly
* selected from this time series and returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<
BatchReadTensorboardTimeSeriesDataRequest, BatchReadTensorboardTimeSeriesDataResponse>
batchReadTensorboardTimeSeriesDataCallable() {
return stub.batchReadTensorboardTimeSeriesDataCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less
* than 1000, all data will be returned. Otherwise, 1000 data points will be 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.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData(
TensorboardTimeSeriesName tensorboardTimeSeries) {
ReadTensorboardTimeSeriesDataRequest request =
ReadTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboardTimeSeries(
tensorboardTimeSeries == null ? null : tensorboardTimeSeries.toString())
.build();
return readTensorboardTimeSeriesData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less
* than 1000, all data will be returned. Otherwise, 1000 data points will be 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.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData(
String tensorboardTimeSeries) {
ReadTensorboardTimeSeriesDataRequest request =
ReadTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboardTimeSeries(tensorboardTimeSeries)
.build();
return readTensorboardTimeSeriesData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less
* than 1000, all data will be returned. Otherwise, 1000 data points will be 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.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData(
ReadTensorboardTimeSeriesDataRequest request) {
return readTensorboardTimeSeriesDataCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less
* than 1000, all data will be returned. Otherwise, 1000 data points will be 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.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<
ReadTensorboardTimeSeriesDataRequest, ReadTensorboardTimeSeriesDataResponse>
readTensorboardTimeSeriesDataCallable() {
return stub.readTensorboardTimeSeriesDataCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* 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.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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.
* }
* }
* }</pre>
*/
public final ServerStreamingCallable<
ReadTensorboardBlobDataRequest, ReadTensorboardBlobDataResponse>
readTensorboardBlobDataCallable() {
return stub.readTensorboardBlobDataCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
* If any data fail to be ingested, an error will be returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param tensorboardExperiment Required. The resource name of the TensorboardExperiment to write
* data to. Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
* @param writeRunDataRequests Required. Requests containing per-run TensorboardTimeSeries data to
* write.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentData(
TensorboardExperimentName tensorboardExperiment,
List<WriteTensorboardRunDataRequest> writeRunDataRequests) {
WriteTensorboardExperimentDataRequest request =
WriteTensorboardExperimentDataRequest.newBuilder()
.setTensorboardExperiment(
tensorboardExperiment == null ? null : tensorboardExperiment.toString())
.addAllWriteRunDataRequests(writeRunDataRequests)
.build();
return writeTensorboardExperimentData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
* If any data fail to be ingested, an error will be returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param tensorboardExperiment Required. The resource name of the TensorboardExperiment to write
* data to. Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
* @param writeRunDataRequests Required. Requests containing per-run TensorboardTimeSeries data to
* write.
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentData(
String tensorboardExperiment, List<WriteTensorboardRunDataRequest> writeRunDataRequests) {
WriteTensorboardExperimentDataRequest request =
WriteTensorboardExperimentDataRequest.newBuilder()
.setTensorboardExperiment(tensorboardExperiment)
.addAllWriteRunDataRequests(writeRunDataRequests)
.build();
return writeTensorboardExperimentData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
* If any data fail to be ingested, an error will be returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentData(
WriteTensorboardExperimentDataRequest request) {
return writeTensorboardExperimentDataCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
* If any data fail to be ingested, an error will be returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<
WriteTensorboardExperimentDataRequest, WriteTensorboardExperimentDataResponse>
writeTensorboardExperimentDataCallable() {
return stub.writeTensorboardExperimentDataCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If
* any data fail to be ingested, an error will be returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param tensorboardRun Required. The resource name of the TensorboardRun to write data to.
* Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
* @param 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
*/
public final WriteTensorboardRunDataResponse writeTensorboardRunData(
TensorboardRunName tensorboardRun, List<TimeSeriesData> timeSeriesData) {
WriteTensorboardRunDataRequest request =
WriteTensorboardRunDataRequest.newBuilder()
.setTensorboardRun(tensorboardRun == null ? null : tensorboardRun.toString())
.addAllTimeSeriesData(timeSeriesData)
.build();
return writeTensorboardRunData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If
* any data fail to be ingested, an error will be returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param tensorboardRun Required. The resource name of the TensorboardRun to write data to.
* Format:
* `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
* @param 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
*/
public final WriteTensorboardRunDataResponse writeTensorboardRunData(
String tensorboardRun, List<TimeSeriesData> timeSeriesData) {
WriteTensorboardRunDataRequest request =
WriteTensorboardRunDataRequest.newBuilder()
.setTensorboardRun(tensorboardRun)
.addAllTimeSeriesData(timeSeriesData)
.build();
return writeTensorboardRunData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If
* any data fail to be ingested, an error will be returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final WriteTensorboardRunDataResponse writeTensorboardRunData(
WriteTensorboardRunDataRequest request) {
return writeTensorboardRunDataCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If
* any data fail to be ingested, an error will be returned.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<WriteTensorboardRunDataRequest, WriteTensorboardRunDataResponse>
writeTensorboardRunDataCallable() {
return stub.writeTensorboardRunDataCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ExportTensorboardTimeSeriesDataPagedResponse exportTensorboardTimeSeriesData(
TensorboardTimeSeriesName tensorboardTimeSeries) {
ExportTensorboardTimeSeriesDataRequest request =
ExportTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboardTimeSeries(
tensorboardTimeSeries == null ? null : tensorboardTimeSeries.toString())
.build();
return exportTensorboardTimeSeriesData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ExportTensorboardTimeSeriesDataPagedResponse exportTensorboardTimeSeriesData(
String tensorboardTimeSeries) {
ExportTensorboardTimeSeriesDataRequest request =
ExportTensorboardTimeSeriesDataRequest.newBuilder()
.setTensorboardTimeSeries(tensorboardTimeSeries)
.build();
return exportTensorboardTimeSeriesData(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ExportTensorboardTimeSeriesDataPagedResponse exportTensorboardTimeSeriesData(
ExportTensorboardTimeSeriesDataRequest request) {
return exportTensorboardTimeSeriesDataPagedCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*/
public final UnaryCallable<
ExportTensorboardTimeSeriesDataRequest, ExportTensorboardTimeSeriesDataPagedResponse>
exportTensorboardTimeSeriesDataPagedCallable() {
return stub.exportTensorboardTimeSeriesDataPagedCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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;
* }
* }
* }
* }</pre>
*/
public final UnaryCallable<
ExportTensorboardTimeSeriesDataRequest, ExportTensorboardTimeSeriesDataResponse>
exportTensorboardTimeSeriesDataCallable() {
return stub.exportTensorboardTimeSeriesDataCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists information about the supported locations for this service.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*
* @param 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
*/
public final ListLocationsPagedResponse listLocations(ListLocationsRequest request) {
return listLocationsPagedCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists information about the supported locations for this service.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }
* }</pre>
*/
public final UnaryCallable<ListLocationsRequest, ListLocationsPagedResponse>
listLocationsPagedCallable() {
return stub.listLocationsPagedCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Lists information about the supported locations for this service.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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;
* }
* }
* }
* }</pre>
*/
public final UnaryCallable<ListLocationsRequest, ListLocationsResponse> listLocationsCallable() {
return stub.listLocationsCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets information about a location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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);
* }
* }</pre>
*
* @param 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
*/
public final Location getLocation(GetLocationRequest request) {
return getLocationCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets information about a location.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating 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();
* }
* }</pre>
*/
public final UnaryCallable<GetLocationRequest, Location> getLocationCallable() {
return stub.getLocationCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Sets the access control policy on the specified resource. Replacesany existing policy.
*
* <p>Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED`errors.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating the service client as shown in
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
* try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
* SetIamPolicyRequest request =
* SetIamPolicyRequest.newBuilder()
* .setResource(
* EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
* .toString())
* .setPolicy(Policy.newBuilder().build())
* .setUpdateMask(FieldMask.newBuilder().build())
* .build();
* Policy response = tensorboardServiceClient.setIamPolicy(request);
* }
* }</pre>
*
* @param 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
*/
public final Policy setIamPolicy(SetIamPolicyRequest request) {
return setIamPolicyCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Sets the access control policy on the specified resource. Replacesany existing policy.
*
* <p>Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED`errors.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating the service client as shown in
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
* try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
* SetIamPolicyRequest request =
* SetIamPolicyRequest.newBuilder()
* .setResource(
* EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
* .toString())
* .setPolicy(Policy.newBuilder().build())
* .setUpdateMask(FieldMask.newBuilder().build())
* .build();
* ApiFuture<Policy> future =
* tensorboardServiceClient.setIamPolicyCallable().futureCall(request);
* // Do something.
* Policy response = future.get();
* }
* }</pre>
*/
public final UnaryCallable<SetIamPolicyRequest, Policy> setIamPolicyCallable() {
return stub.setIamPolicyCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets the access control policy for a resource. Returns an empty policyif the resource exists
* and does not have a policy set.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating the service client as shown in
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
* try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
* GetIamPolicyRequest request =
* GetIamPolicyRequest.newBuilder()
* .setResource(
* EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
* .toString())
* .setOptions(GetPolicyOptions.newBuilder().build())
* .build();
* Policy response = tensorboardServiceClient.getIamPolicy(request);
* }
* }</pre>
*
* @param 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
*/
public final Policy getIamPolicy(GetIamPolicyRequest request) {
return getIamPolicyCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* Gets the access control policy for a resource. Returns an empty policyif the resource exists
* and does not have a policy set.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating the service client as shown in
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
* try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
* GetIamPolicyRequest request =
* GetIamPolicyRequest.newBuilder()
* .setResource(
* EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
* .toString())
* .setOptions(GetPolicyOptions.newBuilder().build())
* .build();
* ApiFuture<Policy> future =
* tensorboardServiceClient.getIamPolicyCallable().futureCall(request);
* // Do something.
* Policy response = future.get();
* }
* }</pre>
*/
public final UnaryCallable<GetIamPolicyRequest, Policy> getIamPolicyCallable() {
return stub.getIamPolicyCallable();
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* 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.
*
* <p>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.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating the service client as shown in
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
* try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
* TestIamPermissionsRequest request =
* TestIamPermissionsRequest.newBuilder()
* .setResource(
* EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
* .toString())
* .addAllPermissions(new ArrayList<String>())
* .build();
* TestIamPermissionsResponse response = tensorboardServiceClient.testIamPermissions(request);
* }
* }</pre>
*
* @param 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
*/
public final TestIamPermissionsResponse testIamPermissions(TestIamPermissionsRequest request) {
return testIamPermissionsCallable().call(request);
}
// AUTO-GENERATED DOCUMENTATION AND METHOD.
/**
* 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.
*
* <p>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.
*
* <p>Sample code:
*
* <pre>{@code
* // This snippet has been automatically generated and should be regarded as a code template only.
* // It will require modifications to work:
* // - It may require correct/in-range values for request initialization.
* // - It may require specifying regional endpoints when creating the service client as shown in
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
* try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
* TestIamPermissionsRequest request =
* TestIamPermissionsRequest.newBuilder()
* .setResource(
* EntityTypeName.of("[PROJECT]", "[LOCATION]", "[FEATURESTORE]", "[ENTITY_TYPE]")
* .toString())
* .addAllPermissions(new ArrayList<String>())
* .build();
* ApiFuture<TestIamPermissionsResponse> future =
* tensorboardServiceClient.testIamPermissionsCallable().futureCall(request);
* // Do something.
* TestIamPermissionsResponse response = future.get();
* }
* }</pre>
*/
public final UnaryCallable<TestIamPermissionsRequest, TestIamPermissionsResponse>
testIamPermissionsCallable() {
return stub.testIamPermissionsCallable();
}
@Override
public final void close() {
stub.close();
}
@Override
public void shutdown() {
stub.shutdown();
}
@Override
public boolean isShutdown() {
return stub.isShutdown();
}
@Override
public boolean isTerminated() {
return stub.isTerminated();
}
@Override
public void shutdownNow() {
stub.shutdownNow();
}
@Override
public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
return stub.awaitTermination(duration, unit);
}
public static class ListTensorboardsPagedResponse
extends AbstractPagedListResponse<
ListTensorboardsRequest,
ListTensorboardsResponse,
Tensorboard,
ListTensorboardsPage,
ListTensorboardsFixedSizeCollection> {
public static ApiFuture<ListTensorboardsPagedResponse> createAsync(
PageContext<ListTensorboardsRequest, ListTensorboardsResponse, Tensorboard> context,
ApiFuture<ListTensorboardsResponse> futureResponse) {
ApiFuture<ListTensorboardsPage> futurePage =
ListTensorboardsPage.createEmptyPage().createPageAsync(context, futureResponse);
return ApiFutures.transform(
futurePage,
input -> new ListTensorboardsPagedResponse(input),
MoreExecutors.directExecutor());
}
private ListTensorboardsPagedResponse(ListTensorboardsPage page) {
super(page, ListTensorboardsFixedSizeCollection.createEmptyCollection());
}
}
public static class ListTensorboardsPage
extends AbstractPage<
ListTensorboardsRequest, ListTensorboardsResponse, Tensorboard, ListTensorboardsPage> {
private ListTensorboardsPage(
PageContext<ListTensorboardsRequest, ListTensorboardsResponse, Tensorboard> context,
ListTensorboardsResponse response) {
super(context, response);
}
private static ListTensorboardsPage createEmptyPage() {
return new ListTensorboardsPage(null, null);
}
@Override
protected ListTensorboardsPage createPage(
PageContext<ListTensorboardsRequest, ListTensorboardsResponse, Tensorboard> context,
ListTensorboardsResponse response) {
return new ListTensorboardsPage(context, response);
}
@Override
public ApiFuture<ListTensorboardsPage> createPageAsync(
PageContext<ListTensorboardsRequest, ListTensorboardsResponse, Tensorboard> context,
ApiFuture<ListTensorboardsResponse> futureResponse) {
return super.createPageAsync(context, futureResponse);
}
}
public static class ListTensorboardsFixedSizeCollection
extends AbstractFixedSizeCollection<
ListTensorboardsRequest,
ListTensorboardsResponse,
Tensorboard,
ListTensorboardsPage,
ListTensorboardsFixedSizeCollection> {
private ListTensorboardsFixedSizeCollection(
List<ListTensorboardsPage> pages, int collectionSize) {
super(pages, collectionSize);
}
private static ListTensorboardsFixedSizeCollection createEmptyCollection() {
return new ListTensorboardsFixedSizeCollection(null, 0);
}
@Override
protected ListTensorboardsFixedSizeCollection createCollection(
List<ListTensorboardsPage> pages, int collectionSize) {
return new ListTensorboardsFixedSizeCollection(pages, collectionSize);
}
}
public static class ListTensorboardExperimentsPagedResponse
extends AbstractPagedListResponse<
ListTensorboardExperimentsRequest,
ListTensorboardExperimentsResponse,
TensorboardExperiment,
ListTensorboardExperimentsPage,
ListTensorboardExperimentsFixedSizeCollection> {
public static ApiFuture<ListTensorboardExperimentsPagedResponse> createAsync(
PageContext<
ListTensorboardExperimentsRequest,
ListTensorboardExperimentsResponse,
TensorboardExperiment>
context,
ApiFuture<ListTensorboardExperimentsResponse> futureResponse) {
ApiFuture<ListTensorboardExperimentsPage> futurePage =
ListTensorboardExperimentsPage.createEmptyPage().createPageAsync(context, futureResponse);
return ApiFutures.transform(
futurePage,
input -> new ListTensorboardExperimentsPagedResponse(input),
MoreExecutors.directExecutor());
}
private ListTensorboardExperimentsPagedResponse(ListTensorboardExperimentsPage page) {
super(page, ListTensorboardExperimentsFixedSizeCollection.createEmptyCollection());
}
}
public static class ListTensorboardExperimentsPage
extends AbstractPage<
ListTensorboardExperimentsRequest,
ListTensorboardExperimentsResponse,
TensorboardExperiment,
ListTensorboardExperimentsPage> {
private ListTensorboardExperimentsPage(
PageContext<
ListTensorboardExperimentsRequest,
ListTensorboardExperimentsResponse,
TensorboardExperiment>
context,
ListTensorboardExperimentsResponse response) {
super(context, response);
}
private static ListTensorboardExperimentsPage createEmptyPage() {
return new ListTensorboardExperimentsPage(null, null);
}
@Override
protected ListTensorboardExperimentsPage createPage(
PageContext<
ListTensorboardExperimentsRequest,
ListTensorboardExperimentsResponse,
TensorboardExperiment>
context,
ListTensorboardExperimentsResponse response) {
return new ListTensorboardExperimentsPage(context, response);
}
@Override
public ApiFuture<ListTensorboardExperimentsPage> createPageAsync(
PageContext<
ListTensorboardExperimentsRequest,
ListTensorboardExperimentsResponse,
TensorboardExperiment>
context,
ApiFuture<ListTensorboardExperimentsResponse> futureResponse) {
return super.createPageAsync(context, futureResponse);
}
}
public static class ListTensorboardExperimentsFixedSizeCollection
extends AbstractFixedSizeCollection<
ListTensorboardExperimentsRequest,
ListTensorboardExperimentsResponse,
TensorboardExperiment,
ListTensorboardExperimentsPage,
ListTensorboardExperimentsFixedSizeCollection> {
private ListTensorboardExperimentsFixedSizeCollection(
List<ListTensorboardExperimentsPage> pages, int collectionSize) {
super(pages, collectionSize);
}
private static ListTensorboardExperimentsFixedSizeCollection createEmptyCollection() {
return new ListTensorboardExperimentsFixedSizeCollection(null, 0);
}
@Override
protected ListTensorboardExperimentsFixedSizeCollection createCollection(
List<ListTensorboardExperimentsPage> pages, int collectionSize) {
return new ListTensorboardExperimentsFixedSizeCollection(pages, collectionSize);
}
}
public static class ListTensorboardRunsPagedResponse
extends AbstractPagedListResponse<
ListTensorboardRunsRequest,
ListTensorboardRunsResponse,
TensorboardRun,
ListTensorboardRunsPage,
ListTensorboardRunsFixedSizeCollection> {
public static ApiFuture<ListTensorboardRunsPagedResponse> createAsync(
PageContext<ListTensorboardRunsRequest, ListTensorboardRunsResponse, TensorboardRun>
context,
ApiFuture<ListTensorboardRunsResponse> futureResponse) {
ApiFuture<ListTensorboardRunsPage> futurePage =
ListTensorboardRunsPage.createEmptyPage().createPageAsync(context, futureResponse);
return ApiFutures.transform(
futurePage,
input -> new ListTensorboardRunsPagedResponse(input),
MoreExecutors.directExecutor());
}
private ListTensorboardRunsPagedResponse(ListTensorboardRunsPage page) {
super(page, ListTensorboardRunsFixedSizeCollection.createEmptyCollection());
}
}
public static class ListTensorboardRunsPage
extends AbstractPage<
ListTensorboardRunsRequest,
ListTensorboardRunsResponse,
TensorboardRun,
ListTensorboardRunsPage> {
private ListTensorboardRunsPage(
PageContext<ListTensorboardRunsRequest, ListTensorboardRunsResponse, TensorboardRun>
context,
ListTensorboardRunsResponse response) {
super(context, response);
}
private static ListTensorboardRunsPage createEmptyPage() {
return new ListTensorboardRunsPage(null, null);
}
@Override
protected ListTensorboardRunsPage createPage(
PageContext<ListTensorboardRunsRequest, ListTensorboardRunsResponse, TensorboardRun>
context,
ListTensorboardRunsResponse response) {
return new ListTensorboardRunsPage(context, response);
}
@Override
public ApiFuture<ListTensorboardRunsPage> createPageAsync(
PageContext<ListTensorboardRunsRequest, ListTensorboardRunsResponse, TensorboardRun>
context,
ApiFuture<ListTensorboardRunsResponse> futureResponse) {
return super.createPageAsync(context, futureResponse);
}
}
public static class ListTensorboardRunsFixedSizeCollection
extends AbstractFixedSizeCollection<
ListTensorboardRunsRequest,
ListTensorboardRunsResponse,
TensorboardRun,
ListTensorboardRunsPage,
ListTensorboardRunsFixedSizeCollection> {
private ListTensorboardRunsFixedSizeCollection(
List<ListTensorboardRunsPage> pages, int collectionSize) {
super(pages, collectionSize);
}
private static ListTensorboardRunsFixedSizeCollection createEmptyCollection() {
return new ListTensorboardRunsFixedSizeCollection(null, 0);
}
@Override
protected ListTensorboardRunsFixedSizeCollection createCollection(
List<ListTensorboardRunsPage> pages, int collectionSize) {
return new ListTensorboardRunsFixedSizeCollection(pages, collectionSize);
}
}
public static class ListTensorboardTimeSeriesPagedResponse
extends AbstractPagedListResponse<
ListTensorboardTimeSeriesRequest,
ListTensorboardTimeSeriesResponse,
TensorboardTimeSeries,
ListTensorboardTimeSeriesPage,
ListTensorboardTimeSeriesFixedSizeCollection> {
public static ApiFuture<ListTensorboardTimeSeriesPagedResponse> createAsync(
PageContext<
ListTensorboardTimeSeriesRequest,
ListTensorboardTimeSeriesResponse,
TensorboardTimeSeries>
context,
ApiFuture<ListTensorboardTimeSeriesResponse> futureResponse) {
ApiFuture<ListTensorboardTimeSeriesPage> futurePage =
ListTensorboardTimeSeriesPage.createEmptyPage().createPageAsync(context, futureResponse);
return ApiFutures.transform(
futurePage,
input -> new ListTensorboardTimeSeriesPagedResponse(input),
MoreExecutors.directExecutor());
}
private ListTensorboardTimeSeriesPagedResponse(ListTensorboardTimeSeriesPage page) {
super(page, ListTensorboardTimeSeriesFixedSizeCollection.createEmptyCollection());
}
}
public static class ListTensorboardTimeSeriesPage
extends AbstractPage<
ListTensorboardTimeSeriesRequest,
ListTensorboardTimeSeriesResponse,
TensorboardTimeSeries,
ListTensorboardTimeSeriesPage> {
private ListTensorboardTimeSeriesPage(
PageContext<
ListTensorboardTimeSeriesRequest,
ListTensorboardTimeSeriesResponse,
TensorboardTimeSeries>
context,
ListTensorboardTimeSeriesResponse response) {
super(context, response);
}
private static ListTensorboardTimeSeriesPage createEmptyPage() {
return new ListTensorboardTimeSeriesPage(null, null);
}
@Override
protected ListTensorboardTimeSeriesPage createPage(
PageContext<
ListTensorboardTimeSeriesRequest,
ListTensorboardTimeSeriesResponse,
TensorboardTimeSeries>
context,
ListTensorboardTimeSeriesResponse response) {
return new ListTensorboardTimeSeriesPage(context, response);
}
@Override
public ApiFuture<ListTensorboardTimeSeriesPage> createPageAsync(
PageContext<
ListTensorboardTimeSeriesRequest,
ListTensorboardTimeSeriesResponse,
TensorboardTimeSeries>
context,
ApiFuture<ListTensorboardTimeSeriesResponse> futureResponse) {
return super.createPageAsync(context, futureResponse);
}
}
public static class ListTensorboardTimeSeriesFixedSizeCollection
extends AbstractFixedSizeCollection<
ListTensorboardTimeSeriesRequest,
ListTensorboardTimeSeriesResponse,
TensorboardTimeSeries,
ListTensorboardTimeSeriesPage,
ListTensorboardTimeSeriesFixedSizeCollection> {
private ListTensorboardTimeSeriesFixedSizeCollection(
List<ListTensorboardTimeSeriesPage> pages, int collectionSize) {
super(pages, collectionSize);
}
private static ListTensorboardTimeSeriesFixedSizeCollection createEmptyCollection() {
return new ListTensorboardTimeSeriesFixedSizeCollection(null, 0);
}
@Override
protected ListTensorboardTimeSeriesFixedSizeCollection createCollection(
List<ListTensorboardTimeSeriesPage> pages, int collectionSize) {
return new ListTensorboardTimeSeriesFixedSizeCollection(pages, collectionSize);
}
}
public static class ExportTensorboardTimeSeriesDataPagedResponse
extends AbstractPagedListResponse<
ExportTensorboardTimeSeriesDataRequest,
ExportTensorboardTimeSeriesDataResponse,
TimeSeriesDataPoint,
ExportTensorboardTimeSeriesDataPage,
ExportTensorboardTimeSeriesDataFixedSizeCollection> {
public static ApiFuture<ExportTensorboardTimeSeriesDataPagedResponse> createAsync(
PageContext<
ExportTensorboardTimeSeriesDataRequest,
ExportTensorboardTimeSeriesDataResponse,
TimeSeriesDataPoint>
context,
ApiFuture<ExportTensorboardTimeSeriesDataResponse> futureResponse) {
ApiFuture<ExportTensorboardTimeSeriesDataPage> futurePage =
ExportTensorboardTimeSeriesDataPage.createEmptyPage()
.createPageAsync(context, futureResponse);
return ApiFutures.transform(
futurePage,
input -> new ExportTensorboardTimeSeriesDataPagedResponse(input),
MoreExecutors.directExecutor());
}
private ExportTensorboardTimeSeriesDataPagedResponse(ExportTensorboardTimeSeriesDataPage page) {
super(page, ExportTensorboardTimeSeriesDataFixedSizeCollection.createEmptyCollection());
}
}
public static class ExportTensorboardTimeSeriesDataPage
extends AbstractPage<
ExportTensorboardTimeSeriesDataRequest,
ExportTensorboardTimeSeriesDataResponse,
TimeSeriesDataPoint,
ExportTensorboardTimeSeriesDataPage> {
private ExportTensorboardTimeSeriesDataPage(
PageContext<
ExportTensorboardTimeSeriesDataRequest,
ExportTensorboardTimeSeriesDataResponse,
TimeSeriesDataPoint>
context,
ExportTensorboardTimeSeriesDataResponse response) {
super(context, response);
}
private static ExportTensorboardTimeSeriesDataPage createEmptyPage() {
return new ExportTensorboardTimeSeriesDataPage(null, null);
}
@Override
protected ExportTensorboardTimeSeriesDataPage createPage(
PageContext<
ExportTensorboardTimeSeriesDataRequest,
ExportTensorboardTimeSeriesDataResponse,
TimeSeriesDataPoint>
context,
ExportTensorboardTimeSeriesDataResponse response) {
return new ExportTensorboardTimeSeriesDataPage(context, response);
}
@Override
public ApiFuture<ExportTensorboardTimeSeriesDataPage> createPageAsync(
PageContext<
ExportTensorboardTimeSeriesDataRequest,
ExportTensorboardTimeSeriesDataResponse,
TimeSeriesDataPoint>
context,
ApiFuture<ExportTensorboardTimeSeriesDataResponse> futureResponse) {
return super.createPageAsync(context, futureResponse);
}
}
public static class ExportTensorboardTimeSeriesDataFixedSizeCollection
extends AbstractFixedSizeCollection<
ExportTensorboardTimeSeriesDataRequest,
ExportTensorboardTimeSeriesDataResponse,
TimeSeriesDataPoint,
ExportTensorboardTimeSeriesDataPage,
ExportTensorboardTimeSeriesDataFixedSizeCollection> {
private ExportTensorboardTimeSeriesDataFixedSizeCollection(
List<ExportTensorboardTimeSeriesDataPage> pages, int collectionSize) {
super(pages, collectionSize);
}
private static ExportTensorboardTimeSeriesDataFixedSizeCollection createEmptyCollection() {
return new ExportTensorboardTimeSeriesDataFixedSizeCollection(null, 0);
}
@Override
protected ExportTensorboardTimeSeriesDataFixedSizeCollection createCollection(
List<ExportTensorboardTimeSeriesDataPage> pages, int collectionSize) {
return new ExportTensorboardTimeSeriesDataFixedSizeCollection(pages, collectionSize);
}
}
public static class ListLocationsPagedResponse
extends AbstractPagedListResponse<
ListLocationsRequest,
ListLocationsResponse,
Location,
ListLocationsPage,
ListLocationsFixedSizeCollection> {
public static ApiFuture<ListLocationsPagedResponse> createAsync(
PageContext<ListLocationsRequest, ListLocationsResponse, Location> context,
ApiFuture<ListLocationsResponse> futureResponse) {
ApiFuture<ListLocationsPage> futurePage =
ListLocationsPage.createEmptyPage().createPageAsync(context, futureResponse);
return ApiFutures.transform(
futurePage,
input -> new ListLocationsPagedResponse(input),
MoreExecutors.directExecutor());
}
private ListLocationsPagedResponse(ListLocationsPage page) {
super(page, ListLocationsFixedSizeCollection.createEmptyCollection());
}
}
public static class ListLocationsPage
extends AbstractPage<
ListLocationsRequest, ListLocationsResponse, Location, ListLocationsPage> {
private ListLocationsPage(
PageContext<ListLocationsRequest, ListLocationsResponse, Location> context,
ListLocationsResponse response) {
super(context, response);
}
private static ListLocationsPage createEmptyPage() {
return new ListLocationsPage(null, null);
}
@Override
protected ListLocationsPage createPage(
PageContext<ListLocationsRequest, ListLocationsResponse, Location> context,
ListLocationsResponse response) {
return new ListLocationsPage(context, response);
}
@Override
public ApiFuture<ListLocationsPage> createPageAsync(
PageContext<ListLocationsRequest, ListLocationsResponse, Location> context,
ApiFuture<ListLocationsResponse> futureResponse) {
return super.createPageAsync(context, futureResponse);
}
}
public static class ListLocationsFixedSizeCollection
extends AbstractFixedSizeCollection<
ListLocationsRequest,
ListLocationsResponse,
Location,
ListLocationsPage,
ListLocationsFixedSizeCollection> {
private ListLocationsFixedSizeCollection(List<ListLocationsPage> pages, int collectionSize) {
super(pages, collectionSize);
}
private static ListLocationsFixedSizeCollection createEmptyCollection() {
return new ListLocationsFixedSizeCollection(null, 0);
}
@Override
protected ListLocationsFixedSizeCollection createCollection(
List<ListLocationsPage> pages, int collectionSize) {
return new ListLocationsFixedSizeCollection(pages, collectionSize);
}
}
}