Google Cloud Ai Platform V1 Client - Class TensorboardServiceClient (0.27.0)

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\BatchCreateTensorboardRunsRequest;
use Google\Cloud\AIPlatform\V1\BatchCreateTensorboardRunsResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\CreateTensorboardRunRequest;
use Google\Cloud\AIPlatform\V1\TensorboardRun;

/**
 * @param string $formattedParent                   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. Please see
 *                                                  {@see TensorboardServiceClient::tensorboardExperimentName()} for help formatting this field.
 * @param string $formattedRequestsParent           The resource name of the TensorboardExperiment to create the
 *                                                  TensorboardRun in. Format:
 *                                                  `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 *                                                  Please see {@see TensorboardServiceClient::tensorboardRunName()} for help formatting this field.
 * @param string $requestsTensorboardRunDisplayName User provided name of this TensorboardRun.
 *                                                  This value must be unique among all TensorboardRuns
 *                                                  belonging to the same parent TensorboardExperiment.
 * @param string $requestsTensorboardRunId          The ID to use for the Tensorboard run, which becomes the final
 *                                                  component of the Tensorboard run's resource name.
 *
 *                                                  This value should be 1-128 characters, and valid characters
 *                                                  are `/[a-z][0-9]-/`.
 */
function batch_create_tensorboard_runs_sample(
    string $formattedParent,
    string $formattedRequestsParent,
    string $requestsTensorboardRunDisplayName,
    string $requestsTensorboardRunId
): void {
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $requestsTensorboardRun = (new TensorboardRun())
        ->setDisplayName($requestsTensorboardRunDisplayName);
    $createTensorboardRunRequest = (new CreateTensorboardRunRequest())
        ->setParent($formattedRequestsParent)
        ->setTensorboardRun($requestsTensorboardRun)
        ->setTensorboardRunId($requestsTensorboardRunId);
    $requests = [$createTensorboardRunRequest,];
    $request = (new BatchCreateTensorboardRunsRequest())
        ->setParent($formattedParent)
        ->setRequests($requests);

    // Call the API and handle any network failures.
    try {
        /** @var BatchCreateTensorboardRunsResponse $response */
        $response = $tensorboardServiceClient->batchCreateTensorboardRuns($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::tensorboardExperimentName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]'
    );
    $formattedRequestsParent = TensorboardServiceClient::tensorboardRunName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]'
    );
    $requestsTensorboardRunDisplayName = '[DISPLAY_NAME]';
    $requestsTensorboardRunId = '[TENSORBOARD_RUN_ID]';

    batch_create_tensorboard_runs_sample(
        $formattedParent,
        $formattedRequestsParent,
        $requestsTensorboardRunDisplayName,
        $requestsTensorboardRunId
    );
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\BatchCreateTensorboardTimeSeriesRequest;
use Google\Cloud\AIPlatform\V1\BatchCreateTensorboardTimeSeriesResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\CreateTensorboardTimeSeriesRequest;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries\ValueType;

/**
 * @param string $formattedParent                          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. Please see
 *                                                         {@see TensorboardServiceClient::tensorboardExperimentName()} for help formatting this field.
 * @param string $formattedRequestsParent                  The resource name of the TensorboardRun to create the
 *                                                         TensorboardTimeSeries in.
 *                                                         Format:
 *                                                         `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 *                                                         Please see {@see TensorboardServiceClient::tensorboardTimeSeriesName()} for help formatting this field.
 * @param string $requestsTensorboardTimeSeriesDisplayName User provided name of this TensorboardTimeSeries.
 *                                                         This value should be unique among all TensorboardTimeSeries resources
 *                                                         belonging to the same TensorboardRun resource (parent resource).
 * @param int    $requestsTensorboardTimeSeriesValueType   Immutable. Type of TensorboardTimeSeries value.
 */
function batch_create_tensorboard_time_series_sample(
    string $formattedParent,
    string $formattedRequestsParent,
    string $requestsTensorboardTimeSeriesDisplayName,
    int $requestsTensorboardTimeSeriesValueType
): void {
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $requestsTensorboardTimeSeries = (new TensorboardTimeSeries())
        ->setDisplayName($requestsTensorboardTimeSeriesDisplayName)
        ->setValueType($requestsTensorboardTimeSeriesValueType);
    $createTensorboardTimeSeriesRequest = (new CreateTensorboardTimeSeriesRequest())
        ->setParent($formattedRequestsParent)
        ->setTensorboardTimeSeries($requestsTensorboardTimeSeries);
    $requests = [$createTensorboardTimeSeriesRequest,];
    $request = (new BatchCreateTensorboardTimeSeriesRequest())
        ->setParent($formattedParent)
        ->setRequests($requests);

    // Call the API and handle any network failures.
    try {
        /** @var BatchCreateTensorboardTimeSeriesResponse $response */
        $response = $tensorboardServiceClient->batchCreateTensorboardTimeSeries($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::tensorboardExperimentName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]'
    );
    $formattedRequestsParent = TensorboardServiceClient::tensorboardTimeSeriesName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]',
        '[TIME_SERIES]'
    );
    $requestsTensorboardTimeSeriesDisplayName = '[DISPLAY_NAME]';
    $requestsTensorboardTimeSeriesValueType = ValueType::VALUE_TYPE_UNSPECIFIED;

    batch_create_tensorboard_time_series_sample(
        $formattedParent,
        $formattedRequestsParent,
        $requestsTensorboardTimeSeriesDisplayName,
        $requestsTensorboardTimeSeriesValueType
    );
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\BatchReadTensorboardTimeSeriesDataRequest;
use Google\Cloud\AIPlatform\V1\BatchReadTensorboardTimeSeriesDataResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;

/**
 * @param string $formattedTensorboard       The resource name of the Tensorboard containing
 *                                           TensorboardTimeSeries to read data from. Format:
 *                                           `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
 *                                           The TensorboardTimeSeries referenced by
 *                                           [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
 *                                           must be sub resources of this Tensorboard. Please see
 *                                           {@see TensorboardServiceClient::tensorboardName()} for help formatting this field.
 * @param string $formattedTimeSeriesElement The resource names of the TensorboardTimeSeries to read data
 *                                           from. Format:
 *                                           `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 *                                           Please see {@see TensorboardServiceClient::tensorboardTimeSeriesName()} for help formatting this field.
 */
function batch_read_tensorboard_time_series_data_sample(
    string $formattedTensorboard,
    string $formattedTimeSeriesElement
): void {
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $formattedTimeSeries = [$formattedTimeSeriesElement,];
    $request = (new BatchReadTensorboardTimeSeriesDataRequest())
        ->setTensorboard($formattedTensorboard)
        ->setTimeSeries($formattedTimeSeries);

    // Call the API and handle any network failures.
    try {
        /** @var BatchReadTensorboardTimeSeriesDataResponse $response */
        $response = $tensorboardServiceClient->batchReadTensorboardTimeSeriesData($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedTensorboard = TensorboardServiceClient::tensorboardName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]'
    );
    $formattedTimeSeriesElement = TensorboardServiceClient::tensorboardTimeSeriesName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]',
        '[TIME_SERIES]'
    );

    batch_read_tensorboard_time_series_data_sample($formattedTensorboard, $formattedTimeSeriesElement);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\CreateTensorboardRequest;
use Google\Cloud\AIPlatform\V1\Tensorboard;
use Google\Rpc\Status;

/**
 * @param string $formattedParent        The resource name of the Location to create the Tensorboard in.
 *                                       Format: `projects/{project}/locations/{location}`
 *                                       Please see {@see TensorboardServiceClient::tensorboardName()} for help formatting this field.
 * @param string $tensorboardDisplayName User provided name of this Tensorboard.
 */
function create_tensorboard_sample(string $formattedParent, string $tensorboardDisplayName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $tensorboard = (new Tensorboard())
        ->setDisplayName($tensorboardDisplayName);
    $request = (new CreateTensorboardRequest())
        ->setParent($formattedParent)
        ->setTensorboard($tensorboard);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $tensorboardServiceClient->createTensorboard($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            /** @var Tensorboard $result */
            $result = $response->getResult();
            printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::tensorboardName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]'
    );
    $tensorboardDisplayName = '[DISPLAY_NAME]';

    create_tensorboard_sample($formattedParent, $tensorboardDisplayName);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\CreateTensorboardExperimentRequest;
use Google\Cloud\AIPlatform\V1\TensorboardExperiment;

/**
 * @param string $formattedParent         The resource name of the Tensorboard to create the
 *                                        TensorboardExperiment in. Format:
 *                                        `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 *                                        Please see {@see TensorboardServiceClient::tensorboardExperimentName()} for help formatting this field.
 * @param string $tensorboardExperimentId The ID to use for the Tensorboard experiment, which becomes the
 *                                        final component of the Tensorboard experiment's resource name.
 *
 *                                        This value should be 1-128 characters, and valid characters
 *                                        are `/[a-z][0-9]-/`.
 */
function create_tensorboard_experiment_sample(
    string $formattedParent,
    string $tensorboardExperimentId
): void {
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new CreateTensorboardExperimentRequest())
        ->setParent($formattedParent)
        ->setTensorboardExperimentId($tensorboardExperimentId);

    // Call the API and handle any network failures.
    try {
        /** @var TensorboardExperiment $response */
        $response = $tensorboardServiceClient->createTensorboardExperiment($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::tensorboardExperimentName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]'
    );
    $tensorboardExperimentId = '[TENSORBOARD_EXPERIMENT_ID]';

    create_tensorboard_experiment_sample($formattedParent, $tensorboardExperimentId);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\CreateTensorboardRunRequest;
use Google\Cloud\AIPlatform\V1\TensorboardRun;

/**
 * @param string $formattedParent           The resource name of the TensorboardExperiment to create the
 *                                          TensorboardRun in. Format:
 *                                          `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 *                                          Please see {@see TensorboardServiceClient::tensorboardRunName()} for help formatting this field.
 * @param string $tensorboardRunDisplayName User provided name of this TensorboardRun.
 *                                          This value must be unique among all TensorboardRuns
 *                                          belonging to the same parent TensorboardExperiment.
 * @param string $tensorboardRunId          The ID to use for the Tensorboard run, which becomes the final
 *                                          component of the Tensorboard run's resource name.
 *
 *                                          This value should be 1-128 characters, and valid characters
 *                                          are `/[a-z][0-9]-/`.
 */
function create_tensorboard_run_sample(
    string $formattedParent,
    string $tensorboardRunDisplayName,
    string $tensorboardRunId
): void {
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $tensorboardRun = (new TensorboardRun())
        ->setDisplayName($tensorboardRunDisplayName);
    $request = (new CreateTensorboardRunRequest())
        ->setParent($formattedParent)
        ->setTensorboardRun($tensorboardRun)
        ->setTensorboardRunId($tensorboardRunId);

    // Call the API and handle any network failures.
    try {
        /** @var TensorboardRun $response */
        $response = $tensorboardServiceClient->createTensorboardRun($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::tensorboardRunName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]'
    );
    $tensorboardRunDisplayName = '[DISPLAY_NAME]';
    $tensorboardRunId = '[TENSORBOARD_RUN_ID]';

    create_tensorboard_run_sample($formattedParent, $tensorboardRunDisplayName, $tensorboardRunId);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\CreateTensorboardTimeSeriesRequest;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries\ValueType;

/**
 * @param string $formattedParent                  The resource name of the TensorboardRun to create the
 *                                                 TensorboardTimeSeries in.
 *                                                 Format:
 *                                                 `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 *                                                 Please see {@see TensorboardServiceClient::tensorboardTimeSeriesName()} for help formatting this field.
 * @param string $tensorboardTimeSeriesDisplayName User provided name of this TensorboardTimeSeries.
 *                                                 This value should be unique among all TensorboardTimeSeries resources
 *                                                 belonging to the same TensorboardRun resource (parent resource).
 * @param int    $tensorboardTimeSeriesValueType   Immutable. Type of TensorboardTimeSeries value.
 */
function create_tensorboard_time_series_sample(
    string $formattedParent,
    string $tensorboardTimeSeriesDisplayName,
    int $tensorboardTimeSeriesValueType
): void {
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $tensorboardTimeSeries = (new TensorboardTimeSeries())
        ->setDisplayName($tensorboardTimeSeriesDisplayName)
        ->setValueType($tensorboardTimeSeriesValueType);
    $request = (new CreateTensorboardTimeSeriesRequest())
        ->setParent($formattedParent)
        ->setTensorboardTimeSeries($tensorboardTimeSeries);

    // Call the API and handle any network failures.
    try {
        /** @var TensorboardTimeSeries $response */
        $response = $tensorboardServiceClient->createTensorboardTimeSeries($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::tensorboardTimeSeriesName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]',
        '[TIME_SERIES]'
    );
    $tensorboardTimeSeriesDisplayName = '[DISPLAY_NAME]';
    $tensorboardTimeSeriesValueType = ValueType::VALUE_TYPE_UNSPECIFIED;

    create_tensorboard_time_series_sample(
        $formattedParent,
        $tensorboardTimeSeriesDisplayName,
        $tensorboardTimeSeriesValueType
    );
}

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteTensorboardRequest;
use Google\Rpc\Status;

/**
 * @param string $formattedName The name of the Tensorboard to be deleted.
 *                              Format:
 *                              `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 *                              Please see {@see TensorboardServiceClient::tensorboardName()} for help formatting this field.
 */
function delete_tensorboard_sample(string $formattedName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new DeleteTensorboardRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $tensorboardServiceClient->deleteTensorboard($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            printf('Operation completed successfully.' . PHP_EOL);
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = TensorboardServiceClient::tensorboardName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]'
    );

    delete_tensorboard_sample($formattedName);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteTensorboardExperimentRequest;
use Google\Rpc\Status;

/**
 * @param string $formattedName The name of the TensorboardExperiment to be deleted.
 *                              Format:
 *                              `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 *                              Please see {@see TensorboardServiceClient::tensorboardExperimentName()} for help formatting this field.
 */
function delete_tensorboard_experiment_sample(string $formattedName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new DeleteTensorboardExperimentRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $tensorboardServiceClient->deleteTensorboardExperiment($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            printf('Operation completed successfully.' . PHP_EOL);
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = TensorboardServiceClient::tensorboardExperimentName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]'
    );

    delete_tensorboard_experiment_sample($formattedName);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteTensorboardRunRequest;
use Google\Rpc\Status;

/**
 * @param string $formattedName The name of the TensorboardRun to be deleted.
 *                              Format:
 *                              `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 *                              Please see {@see TensorboardServiceClient::tensorboardRunName()} for help formatting this field.
 */
function delete_tensorboard_run_sample(string $formattedName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new DeleteTensorboardRunRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $tensorboardServiceClient->deleteTensorboardRun($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            printf('Operation completed successfully.' . PHP_EOL);
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = TensorboardServiceClient::tensorboardRunName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]'
    );

    delete_tensorboard_run_sample($formattedName);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteTensorboardTimeSeriesRequest;
use Google\Rpc\Status;

/**
 * @param string $formattedName The name of the TensorboardTimeSeries to be deleted.
 *                              Format:
 *                              `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 *                              Please see {@see TensorboardServiceClient::tensorboardTimeSeriesName()} for help formatting this field.
 */
function delete_tensorboard_time_series_sample(string $formattedName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new DeleteTensorboardTimeSeriesRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $tensorboardServiceClient->deleteTensorboardTimeSeries($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            printf('Operation completed successfully.' . PHP_EOL);
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = TensorboardServiceClient::tensorboardTimeSeriesName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]',
        '[TIME_SERIES]'
    );

    delete_tensorboard_time_series_sample($formattedName);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\ExportTensorboardTimeSeriesDataRequest;
use Google\Cloud\AIPlatform\V1\TimeSeriesDataPoint;

/**
 * @param string $formattedTensorboardTimeSeries The resource name of the TensorboardTimeSeries to export data
 *                                               from. Format:
 *                                               `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 *                                               Please see {@see TensorboardServiceClient::tensorboardTimeSeriesName()} for help formatting this field.
 */
function export_tensorboard_time_series_data_sample(string $formattedTensorboardTimeSeries): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new ExportTensorboardTimeSeriesDataRequest())
        ->setTensorboardTimeSeries($formattedTensorboardTimeSeries);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $tensorboardServiceClient->exportTensorboardTimeSeriesData($request);

        /** @var TimeSeriesDataPoint $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedTensorboardTimeSeries = TensorboardServiceClient::tensorboardTimeSeriesName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]',
        '[TIME_SERIES]'
    );

    export_tensorboard_time_series_data_sample($formattedTensorboardTimeSeries);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\GetTensorboardRequest;
use Google\Cloud\AIPlatform\V1\Tensorboard;

/**
 * @param string $formattedName The name of the Tensorboard resource.
 *                              Format:
 *                              `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 *                              Please see {@see TensorboardServiceClient::tensorboardName()} for help formatting this field.
 */
function get_tensorboard_sample(string $formattedName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new GetTensorboardRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var Tensorboard $response */
        $response = $tensorboardServiceClient->getTensorboard($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = TensorboardServiceClient::tensorboardName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]'
    );

    get_tensorboard_sample($formattedName);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\GetTensorboardExperimentRequest;
use Google\Cloud\AIPlatform\V1\TensorboardExperiment;

/**
 * @param string $formattedName The name of the TensorboardExperiment resource.
 *                              Format:
 *                              `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 *                              Please see {@see TensorboardServiceClient::tensorboardExperimentName()} for help formatting this field.
 */
function get_tensorboard_experiment_sample(string $formattedName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new GetTensorboardExperimentRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var TensorboardExperiment $response */
        $response = $tensorboardServiceClient->getTensorboardExperiment($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = TensorboardServiceClient::tensorboardExperimentName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]'
    );

    get_tensorboard_experiment_sample($formattedName);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\GetTensorboardRunRequest;
use Google\Cloud\AIPlatform\V1\TensorboardRun;

/**
 * @param string $formattedName The name of the TensorboardRun resource.
 *                              Format:
 *                              `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 *                              Please see {@see TensorboardServiceClient::tensorboardRunName()} for help formatting this field.
 */
function get_tensorboard_run_sample(string $formattedName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new GetTensorboardRunRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var TensorboardRun $response */
        $response = $tensorboardServiceClient->getTensorboardRun($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = TensorboardServiceClient::tensorboardRunName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]'
    );

    get_tensorboard_run_sample($formattedName);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\GetTensorboardTimeSeriesRequest;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries;

/**
 * @param string $formattedName The name of the TensorboardTimeSeries resource.
 *                              Format:
 *                              `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 *                              Please see {@see TensorboardServiceClient::tensorboardTimeSeriesName()} for help formatting this field.
 */
function get_tensorboard_time_series_sample(string $formattedName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new GetTensorboardTimeSeriesRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var TensorboardTimeSeries $response */
        $response = $tensorboardServiceClient->getTensorboardTimeSeries($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = TensorboardServiceClient::tensorboardTimeSeriesName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]',
        '[TIME_SERIES]'
    );

    get_tensorboard_time_series_sample($formattedName);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\ListTensorboardExperimentsRequest;
use Google\Cloud\AIPlatform\V1\TensorboardExperiment;

/**
 * @param string $formattedParent The resource name of the Tensorboard to list
 *                                TensorboardExperiments. Format:
 *                                `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 *                                Please see {@see TensorboardServiceClient::tensorboardName()} for help formatting this field.
 */
function list_tensorboard_experiments_sample(string $formattedParent): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new ListTensorboardExperimentsRequest())
        ->setParent($formattedParent);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $tensorboardServiceClient->listTensorboardExperiments($request);

        /** @var TensorboardExperiment $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::tensorboardName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]'
    );

    list_tensorboard_experiments_sample($formattedParent);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\ListTensorboardRunsRequest;
use Google\Cloud\AIPlatform\V1\TensorboardRun;

/**
 * @param string $formattedParent The resource name of the TensorboardExperiment to list
 *                                TensorboardRuns. Format:
 *                                `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 *                                Please see {@see TensorboardServiceClient::tensorboardExperimentName()} for help formatting this field.
 */
function list_tensorboard_runs_sample(string $formattedParent): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new ListTensorboardRunsRequest())
        ->setParent($formattedParent);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $tensorboardServiceClient->listTensorboardRuns($request);

        /** @var TensorboardRun $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::tensorboardExperimentName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]'
    );

    list_tensorboard_runs_sample($formattedParent);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\ListTensorboardTimeSeriesRequest;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries;

/**
 * @param string $formattedParent The resource name of the TensorboardRun to list
 *                                TensorboardTimeSeries. Format:
 *                                `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 *                                Please see {@see TensorboardServiceClient::tensorboardRunName()} for help formatting this field.
 */
function list_tensorboard_time_series_sample(string $formattedParent): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new ListTensorboardTimeSeriesRequest())
        ->setParent($formattedParent);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $tensorboardServiceClient->listTensorboardTimeSeries($request);

        /** @var TensorboardTimeSeries $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::tensorboardRunName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]'
    );

    list_tensorboard_time_series_sample($formattedParent);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\ListTensorboardsRequest;
use Google\Cloud\AIPlatform\V1\Tensorboard;

/**
 * @param string $formattedParent The resource name of the Location to list Tensorboards.
 *                                Format:
 *                                `projects/{project}/locations/{location}`
 *                                Please see {@see TensorboardServiceClient::locationName()} for help formatting this field.
 */
function list_tensorboards_sample(string $formattedParent): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new ListTensorboardsRequest())
        ->setParent($formattedParent);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $tensorboardServiceClient->listTensorboards($request);

        /** @var Tensorboard $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = TensorboardServiceClient::locationName('[PROJECT]', '[LOCATION]');

    list_tensorboards_sample($formattedParent);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\ServerStream;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\ReadTensorboardBlobDataRequest;
use Google\Cloud\AIPlatform\V1\ReadTensorboardBlobDataResponse;

/**
 * @param string $formattedTimeSeries The resource name of the TensorboardTimeSeries to list Blobs.
 *                                    Format:
 *                                    `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 *                                    Please see {@see TensorboardServiceClient::tensorboardTimeSeriesName()} for help formatting this field.
 */
function read_tensorboard_blob_data_sample(string $formattedTimeSeries): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new ReadTensorboardBlobDataRequest())
        ->setTimeSeries($formattedTimeSeries);

    // Call the API and handle any network failures.
    try {
        /** @var ServerStream $stream */
        $stream = $tensorboardServiceClient->readTensorboardBlobData($request);

        /** @var ReadTensorboardBlobDataResponse $element */
        foreach ($stream->readAll() as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedTimeSeries = TensorboardServiceClient::tensorboardTimeSeriesName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]',
        '[TIME_SERIES]'
    );

    read_tensorboard_blob_data_sample($formattedTimeSeries);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\ReadTensorboardSizeRequest;
use Google\Cloud\AIPlatform\V1\ReadTensorboardSizeResponse;

/**
 * @param string $formattedTensorboard The name of the Tensorboard resource.
 *                                     Format:
 *                                     `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 *                                     Please see {@see TensorboardServiceClient::tensorboardName()} for help formatting this field.
 */
function read_tensorboard_size_sample(string $formattedTensorboard): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new ReadTensorboardSizeRequest())
        ->setTensorboard($formattedTensorboard);

    // Call the API and handle any network failures.
    try {
        /** @var ReadTensorboardSizeResponse $response */
        $response = $tensorboardServiceClient->readTensorboardSize($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedTensorboard = TensorboardServiceClient::tensorboardName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]'
    );

    read_tensorboard_size_sample($formattedTensorboard);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\ReadTensorboardTimeSeriesDataRequest;
use Google\Cloud\AIPlatform\V1\ReadTensorboardTimeSeriesDataResponse;

/**
 * @param string $formattedTensorboardTimeSeries The resource name of the TensorboardTimeSeries to read data from.
 *                                               Format:
 *                                               `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 *                                               Please see {@see TensorboardServiceClient::tensorboardTimeSeriesName()} for help formatting this field.
 */
function read_tensorboard_time_series_data_sample(string $formattedTensorboardTimeSeries): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new ReadTensorboardTimeSeriesDataRequest())
        ->setTensorboardTimeSeries($formattedTensorboardTimeSeries);

    // Call the API and handle any network failures.
    try {
        /** @var ReadTensorboardTimeSeriesDataResponse $response */
        $response = $tensorboardServiceClient->readTensorboardTimeSeriesData($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedTensorboardTimeSeries = TensorboardServiceClient::tensorboardTimeSeriesName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]',
        '[TIME_SERIES]'
    );

    read_tensorboard_time_series_data_sample($formattedTensorboardTimeSeries);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\ReadTensorboardUsageRequest;
use Google\Cloud\AIPlatform\V1\ReadTensorboardUsageResponse;

/**
 * @param string $formattedTensorboard The name of the Tensorboard resource.
 *                                     Format:
 *                                     `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 *                                     Please see {@see TensorboardServiceClient::tensorboardName()} for help formatting this field.
 */
function read_tensorboard_usage_sample(string $formattedTensorboard): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new ReadTensorboardUsageRequest())
        ->setTensorboard($formattedTensorboard);

    // Call the API and handle any network failures.
    try {
        /** @var ReadTensorboardUsageResponse $response */
        $response = $tensorboardServiceClient->readTensorboardUsage($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedTensorboard = TensorboardServiceClient::tensorboardName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]'
    );

    read_tensorboard_usage_sample($formattedTensorboard);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\Tensorboard;
use Google\Cloud\AIPlatform\V1\UpdateTensorboardRequest;
use Google\Protobuf\FieldMask;
use Google\Rpc\Status;

/**
 * @param string $tensorboardDisplayName User provided name of this Tensorboard.
 */
function update_tensorboard_sample(string $tensorboardDisplayName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $updateMask = new FieldMask();
    $tensorboard = (new Tensorboard())
        ->setDisplayName($tensorboardDisplayName);
    $request = (new UpdateTensorboardRequest())
        ->setUpdateMask($updateMask)
        ->setTensorboard($tensorboard);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $tensorboardServiceClient->updateTensorboard($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            /** @var Tensorboard $result */
            $result = $response->getResult();
            printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $tensorboardDisplayName = '[DISPLAY_NAME]';

    update_tensorboard_sample($tensorboardDisplayName);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\TensorboardExperiment;
use Google\Cloud\AIPlatform\V1\UpdateTensorboardExperimentRequest;
use Google\Protobuf\FieldMask;

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function update_tensorboard_experiment_sample(): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $updateMask = new FieldMask();
    $tensorboardExperiment = new TensorboardExperiment();
    $request = (new UpdateTensorboardExperimentRequest())
        ->setUpdateMask($updateMask)
        ->setTensorboardExperiment($tensorboardExperiment);

    // Call the API and handle any network failures.
    try {
        /** @var TensorboardExperiment $response */
        $response = $tensorboardServiceClient->updateTensorboardExperiment($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\TensorboardRun;
use Google\Cloud\AIPlatform\V1\UpdateTensorboardRunRequest;
use Google\Protobuf\FieldMask;

/**
 * @param string $tensorboardRunDisplayName User provided name of this TensorboardRun.
 *                                          This value must be unique among all TensorboardRuns
 *                                          belonging to the same parent TensorboardExperiment.
 */
function update_tensorboard_run_sample(string $tensorboardRunDisplayName): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $updateMask = new FieldMask();
    $tensorboardRun = (new TensorboardRun())
        ->setDisplayName($tensorboardRunDisplayName);
    $request = (new UpdateTensorboardRunRequest())
        ->setUpdateMask($updateMask)
        ->setTensorboardRun($tensorboardRun);

    // Call the API and handle any network failures.
    try {
        /** @var TensorboardRun $response */
        $response = $tensorboardServiceClient->updateTensorboardRun($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $tensorboardRunDisplayName = '[DISPLAY_NAME]';

    update_tensorboard_run_sample($tensorboardRunDisplayName);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries\ValueType;
use Google\Cloud\AIPlatform\V1\UpdateTensorboardTimeSeriesRequest;
use Google\Protobuf\FieldMask;

/**
 * @param string $tensorboardTimeSeriesDisplayName User provided name of this TensorboardTimeSeries.
 *                                                 This value should be unique among all TensorboardTimeSeries resources
 *                                                 belonging to the same TensorboardRun resource (parent resource).
 * @param int    $tensorboardTimeSeriesValueType   Immutable. Type of TensorboardTimeSeries value.
 */
function update_tensorboard_time_series_sample(
    string $tensorboardTimeSeriesDisplayName,
    int $tensorboardTimeSeriesValueType
): void {
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $updateMask = new FieldMask();
    $tensorboardTimeSeries = (new TensorboardTimeSeries())
        ->setDisplayName($tensorboardTimeSeriesDisplayName)
        ->setValueType($tensorboardTimeSeriesValueType);
    $request = (new UpdateTensorboardTimeSeriesRequest())
        ->setUpdateMask($updateMask)
        ->setTensorboardTimeSeries($tensorboardTimeSeries);

    // Call the API and handle any network failures.
    try {
        /** @var TensorboardTimeSeries $response */
        $response = $tensorboardServiceClient->updateTensorboardTimeSeries($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $tensorboardTimeSeriesDisplayName = '[DISPLAY_NAME]';
    $tensorboardTimeSeriesValueType = ValueType::VALUE_TYPE_UNSPECIFIED;

    update_tensorboard_time_series_sample(
        $tensorboardTimeSeriesDisplayName,
        $tensorboardTimeSeriesValueType
    );
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries\ValueType;
use Google\Cloud\AIPlatform\V1\TimeSeriesData;
use Google\Cloud\AIPlatform\V1\TimeSeriesDataPoint;
use Google\Cloud\AIPlatform\V1\WriteTensorboardExperimentDataRequest;
use Google\Cloud\AIPlatform\V1\WriteTensorboardExperimentDataResponse;
use Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataRequest;

/**
 * @param string $formattedTensorboardExperiment                            The resource name of the TensorboardExperiment to write data to.
 *                                                                          Format:
 *                                                                          `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 *                                                                          Please see {@see TensorboardServiceClient::tensorboardExperimentName()} for help formatting this field.
 * @param string $formattedWriteRunDataRequestsTensorboardRun               The resource name of the TensorboardRun to write data to.
 *                                                                          Format:
 *                                                                          `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 *                                                                          Please see {@see TensorboardServiceClient::tensorboardRunName()} for help formatting this field.
 * @param string $writeRunDataRequestsTimeSeriesDataTensorboardTimeSeriesId The ID of the TensorboardTimeSeries, which will become the final
 *                                                                          component of the TensorboardTimeSeries' resource name
 * @param int    $writeRunDataRequestsTimeSeriesDataValueType               Immutable. The value type of this time series. All the values in
 *                                                                          this time series data must match this value type.
 */
function write_tensorboard_experiment_data_sample(
    string $formattedTensorboardExperiment,
    string $formattedWriteRunDataRequestsTensorboardRun,
    string $writeRunDataRequestsTimeSeriesDataTensorboardTimeSeriesId,
    int $writeRunDataRequestsTimeSeriesDataValueType
): void {
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $writeRunDataRequestsTimeSeriesDataValues = [new TimeSeriesDataPoint()];
    $timeSeriesData = (new TimeSeriesData())
        ->setTensorboardTimeSeriesId($writeRunDataRequestsTimeSeriesDataTensorboardTimeSeriesId)
        ->setValueType($writeRunDataRequestsTimeSeriesDataValueType)
        ->setValues($writeRunDataRequestsTimeSeriesDataValues);
    $writeRunDataRequestsTimeSeriesData = [$timeSeriesData,];
    $writeTensorboardRunDataRequest = (new WriteTensorboardRunDataRequest())
        ->setTensorboardRun($formattedWriteRunDataRequestsTensorboardRun)
        ->setTimeSeriesData($writeRunDataRequestsTimeSeriesData);
    $writeRunDataRequests = [$writeTensorboardRunDataRequest,];
    $request = (new WriteTensorboardExperimentDataRequest())
        ->setTensorboardExperiment($formattedTensorboardExperiment)
        ->setWriteRunDataRequests($writeRunDataRequests);

    // Call the API and handle any network failures.
    try {
        /** @var WriteTensorboardExperimentDataResponse $response */
        $response = $tensorboardServiceClient->writeTensorboardExperimentData($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedTensorboardExperiment = TensorboardServiceClient::tensorboardExperimentName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]'
    );
    $formattedWriteRunDataRequestsTensorboardRun = TensorboardServiceClient::tensorboardRunName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]'
    );
    $writeRunDataRequestsTimeSeriesDataTensorboardTimeSeriesId = '[TENSORBOARD_TIME_SERIES_ID]';
    $writeRunDataRequestsTimeSeriesDataValueType = ValueType::VALUE_TYPE_UNSPECIFIED;

    write_tensorboard_experiment_data_sample(
        $formattedTensorboardExperiment,
        $formattedWriteRunDataRequestsTensorboardRun,
        $writeRunDataRequestsTimeSeriesDataTensorboardTimeSeriesId,
        $writeRunDataRequestsTimeSeriesDataValueType
    );
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\AIPlatform\V1\TensorboardTimeSeries\ValueType;
use Google\Cloud\AIPlatform\V1\TimeSeriesData;
use Google\Cloud\AIPlatform\V1\TimeSeriesDataPoint;
use Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataRequest;
use Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataResponse;

/**
 * @param string $formattedTensorboardRun               The resource name of the TensorboardRun to write data to.
 *                                                      Format:
 *                                                      `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 *                                                      Please see {@see TensorboardServiceClient::tensorboardRunName()} for help formatting this field.
 * @param string $timeSeriesDataTensorboardTimeSeriesId The ID of the TensorboardTimeSeries, which will become the final
 *                                                      component of the TensorboardTimeSeries' resource name
 * @param int    $timeSeriesDataValueType               Immutable. The value type of this time series. All the values in
 *                                                      this time series data must match this value type.
 */
function write_tensorboard_run_data_sample(
    string $formattedTensorboardRun,
    string $timeSeriesDataTensorboardTimeSeriesId,
    int $timeSeriesDataValueType
): void {
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $timeSeriesDataValues = [new TimeSeriesDataPoint()];
    $timeSeriesData = (new TimeSeriesData())
        ->setTensorboardTimeSeriesId($timeSeriesDataTensorboardTimeSeriesId)
        ->setValueType($timeSeriesDataValueType)
        ->setValues($timeSeriesDataValues);
    $timeSeriesData = [$timeSeriesData,];
    $request = (new WriteTensorboardRunDataRequest())
        ->setTensorboardRun($formattedTensorboardRun)
        ->setTimeSeriesData($timeSeriesData);

    // Call the API and handle any network failures.
    try {
        /** @var WriteTensorboardRunDataResponse $response */
        $response = $tensorboardServiceClient->writeTensorboardRunData($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedTensorboardRun = TensorboardServiceClient::tensorboardRunName(
        '[PROJECT]',
        '[LOCATION]',
        '[TENSORBOARD]',
        '[EXPERIMENT]',
        '[RUN]'
    );
    $timeSeriesDataTensorboardTimeSeriesId = '[TENSORBOARD_TIME_SERIES_ID]';
    $timeSeriesDataValueType = ValueType::VALUE_TYPE_UNSPECIFIED;

    write_tensorboard_run_data_sample(
        $formattedTensorboardRun,
        $timeSeriesDataTensorboardTimeSeriesId,
        $timeSeriesDataValueType
    );
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\Location\GetLocationRequest;
use Google\Cloud\Location\Location;

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function get_location_sample(): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = new GetLocationRequest();

    // Call the API and handle any network failures.
    try {
        /** @var Location $response */
        $response = $tensorboardServiceClient->getLocation($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\Location\ListLocationsRequest;
use Google\Cloud\Location\Location;

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function list_locations_sample(): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = new ListLocationsRequest();

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $tensorboardServiceClient->listLocations($request);

        /** @var Location $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\Iam\V1\GetIamPolicyRequest;
use Google\Cloud\Iam\V1\Policy;

/**
 * @param string $resource REQUIRED: The resource for which the policy is being requested.
 *                         See the operation documentation for the appropriate value for this field.
 */
function get_iam_policy_sample(string $resource): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $request = (new GetIamPolicyRequest())
        ->setResource($resource);

    // Call the API and handle any network failures.
    try {
        /** @var Policy $response */
        $response = $tensorboardServiceClient->getIamPolicy($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $resource = '[RESOURCE]';

    get_iam_policy_sample($resource);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\Iam\V1\Policy;
use Google\Cloud\Iam\V1\SetIamPolicyRequest;

/**
 * @param string $resource REQUIRED: The resource for which the policy is being specified.
 *                         See the operation documentation for the appropriate value for this field.
 */
function set_iam_policy_sample(string $resource): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $policy = new Policy();
    $request = (new SetIamPolicyRequest())
        ->setResource($resource)
        ->setPolicy($policy);

    // Call the API and handle any network failures.
    try {
        /** @var Policy $response */
        $response = $tensorboardServiceClient->setIamPolicy($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $resource = '[RESOURCE]';

    set_iam_policy_sample($resource);
}

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient;
use Google\Cloud\Iam\V1\TestIamPermissionsRequest;
use Google\Cloud\Iam\V1\TestIamPermissionsResponse;

/**
 * @param string $resource           REQUIRED: The resource for which the policy detail is being requested.
 *                                   See the operation documentation for the appropriate value for this field.
 * @param string $permissionsElement The set of permissions to check for the `resource`. Permissions with
 *                                   wildcards (such as '*' or 'storage.*') are not allowed. For more
 *                                   information see
 *                                   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
 */
function test_iam_permissions_sample(string $resource, string $permissionsElement): void
{
    // Create a client.
    $tensorboardServiceClient = new TensorboardServiceClient();

    // Prepare the request message.
    $permissions = [$permissionsElement,];
    $request = (new TestIamPermissionsRequest())
        ->setResource($resource)
        ->setPermissions($permissions);

    // Call the API and handle any network failures.
    try {
        /** @var TestIamPermissionsResponse $response */
        $response = $tensorboardServiceClient->testIamPermissions($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $resource = '[RESOURCE]';
    $permissionsElement = '[PERMISSIONS]';

    test_iam_permissions_sample($resource, $permissionsElement);
}