Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class TensorboardServiceClient.
Service Description: TensorboardService
This class provides the ability to make remote calls to the backing service through method calls that map to API methods.
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 parseName method to extract the individual identifiers contained within formatted names that are returned by the API.
This class is currently experimental and may be subject to changes. See Google\Cloud\AIPlatform\V1\TensorboardServiceClient for the stable implementation
Namespace
Google \ Cloud \ AIPlatform \ V1 \ ClientMethods
__construct
Constructor.
Parameters | |
---|---|
Name | Description |
options |
array
Optional. Options for configuring the service API wrapper. |
↳ apiEndpoint |
string
The address of the API remote host. May optionally include the port, formatted as "
|
↳ credentials |
string|array|FetchAuthTokenInterface|CredentialsWrapper
The credentials to be used by the client to authorize API calls. This option accepts either a path to a credentials file, or a decoded credentials file as a PHP array. Advanced usage: In addition, this option can also accept a pre-constructed Google\Auth\FetchAuthTokenInterface object or Google\ApiCore\CredentialsWrapper object. Note that when one of these objects are provided, any settings in $credentialsConfig will be ignored. |
↳ credentialsConfig |
array
Options used to configure credentials, including auth token caching, for the client. For a full list of supporting configuration options, see Google\ApiCore\CredentialsWrapper::build() . |
↳ disableRetries |
bool
Determines whether or not retries defined by the client configuration should be disabled. Defaults to |
↳ clientConfig |
string|array
Client method configuration, including retry settings. This option can be either a path to a JSON file, or a PHP array containing the decoded JSON data. By default this settings points to the default client config file, which is provided in the resources folder. |
↳ transport |
string|TransportInterface
The transport used for executing network requests. May be either the string |
↳ transportConfig |
array
Configuration options that will be used to construct the transport. Options for each supported transport type should be passed in a key for that transport. For example: $transportConfig = [ 'grpc' => [...], 'rest' => [...], ]; See the Google\ApiCore\Transport\GrpcTransport::build() and Google\ApiCore\Transport\RestTransport::build() methods for the supported options. |
↳ clientCertSource |
callable
A callable which returns the client cert as a string. This can be used to provide a certificate and private key to the transport layer for mTLS. |
batchCreateTensorboardRuns
Batch create TensorboardRuns.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::batchCreateTensorboardRunsAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\BatchCreateTensorboardRunsRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\BatchCreateTensorboardRunsResponse |
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
);
}
batchCreateTensorboardTimeSeries
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::batchCreateTensorboardTimeSeriesAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\BatchCreateTensorboardTimeSeriesRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\BatchCreateTensorboardTimeSeriesResponse |
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
);
}
batchReadTensorboardTimeSeriesData
Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, 100 for tensors and blob references. If the number of data points stored is less than the limit, all data is returned.
Otherwise, the number limit of data points is randomly selected from this time series and returned.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::batchReadTensorboardTimeSeriesDataAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\BatchReadTensorboardTimeSeriesDataRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\BatchReadTensorboardTimeSeriesDataResponse |
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);
}
createTensorboard
Creates a Tensorboard.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::createTensorboardAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\CreateTensorboardRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\OperationResponse |
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);
}
createTensorboardExperiment
Creates a TensorboardExperiment.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::createTensorboardExperimentAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\CreateTensorboardExperimentRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\TensorboardExperiment |
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);
}
createTensorboardRun
Creates a TensorboardRun.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::createTensorboardRunAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\CreateTensorboardRunRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\TensorboardRun |
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);
}
createTensorboardTimeSeries
Creates a TensorboardTimeSeries.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::createTensorboardTimeSeriesAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\CreateTensorboardTimeSeriesRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\TensorboardTimeSeries |
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
);
}
deleteTensorboard
Deletes a Tensorboard.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::deleteTensorboardAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\DeleteTensorboardRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\OperationResponse |
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);
}
deleteTensorboardExperiment
Deletes a TensorboardExperiment.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::deleteTensorboardExperimentAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\DeleteTensorboardExperimentRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\OperationResponse |
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);
}
deleteTensorboardRun
Deletes a TensorboardRun.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::deleteTensorboardRunAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\DeleteTensorboardRunRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\OperationResponse |
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);
}
deleteTensorboardTimeSeries
Deletes a TensorboardTimeSeries.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::deleteTensorboardTimeSeriesAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\DeleteTensorboardTimeSeriesRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\OperationResponse |
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);
}
exportTensorboardTimeSeriesData
Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::exportTensorboardTimeSeriesDataAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ExportTensorboardTimeSeriesDataRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\PagedListResponse |
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);
}
getTensorboard
Gets a Tensorboard.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::getTensorboardAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\GetTensorboardRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\Tensorboard |
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);
}
getTensorboardExperiment
Gets a TensorboardExperiment.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::getTensorboardExperimentAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\GetTensorboardExperimentRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\TensorboardExperiment |
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);
}
getTensorboardRun
Gets a TensorboardRun.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::getTensorboardRunAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\GetTensorboardRunRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\TensorboardRun |
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);
}
getTensorboardTimeSeries
Gets a TensorboardTimeSeries.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::getTensorboardTimeSeriesAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\GetTensorboardTimeSeriesRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\TensorboardTimeSeries |
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);
}
listTensorboardExperiments
Lists TensorboardExperiments in a Location.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::listTensorboardExperimentsAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ListTensorboardExperimentsRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\PagedListResponse |
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);
}
listTensorboardRuns
Lists TensorboardRuns in a Location.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::listTensorboardRunsAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ListTensorboardRunsRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\PagedListResponse |
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);
}
listTensorboardTimeSeries
Lists TensorboardTimeSeries in a Location.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::listTensorboardTimeSeriesAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ListTensorboardTimeSeriesRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\PagedListResponse |
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);
}
listTensorboards
Lists Tensorboards in a Location.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::listTensorboardsAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ListTensorboardsRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\PagedListResponse |
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);
}
readTensorboardBlobData
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.
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ReadTensorboardBlobDataRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ timeoutMillis |
int
Timeout to use for this call. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\ServerStream |
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);
}
readTensorboardSize
Returns the storage size for a given TensorBoard instance.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::readTensorboardSizeAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ReadTensorboardSizeRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\ReadTensorboardSizeResponse |
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);
}
readTensorboardTimeSeriesData
Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this time series and returned.
This value can be changed by changing max_data_points, which can't be greater than 10k.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::readTensorboardTimeSeriesDataAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ReadTensorboardTimeSeriesDataRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\ReadTensorboardTimeSeriesDataResponse |
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);
}
readTensorboardUsage
Returns a list of monthly active users for a given TensorBoard instance.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::readTensorboardUsageAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ReadTensorboardUsageRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\ReadTensorboardUsageResponse |
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);
}
updateTensorboard
Updates a Tensorboard.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::updateTensorboardAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\UpdateTensorboardRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\OperationResponse |
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);
}
updateTensorboardExperiment
Updates a TensorboardExperiment.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::updateTensorboardExperimentAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\UpdateTensorboardExperimentRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\TensorboardExperiment |
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());
}
}
updateTensorboardRun
Updates a TensorboardRun.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::updateTensorboardRunAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\UpdateTensorboardRunRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\TensorboardRun |
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);
}
updateTensorboardTimeSeries
Updates a TensorboardTimeSeries.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::updateTensorboardTimeSeriesAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\UpdateTensorboardTimeSeriesRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\TensorboardTimeSeries |
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
);
}
writeTensorboardExperimentData
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. If any data fail to be ingested, an error is returned.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::writeTensorboardExperimentDataAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\WriteTensorboardExperimentDataRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\WriteTensorboardExperimentDataResponse |
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
);
}
writeTensorboardRunData
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If any data fail to be ingested, an error is returned.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::writeTensorboardRunDataAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataResponse |
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
);
}
getLocation
Gets information about a location.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::getLocationAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Location\GetLocationRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\Location\Location |
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());
}
}
listLocations
Lists information about the supported locations for this service.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::listLocationsAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Location\ListLocationsRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\ApiCore\PagedListResponse |
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());
}
}
getIamPolicy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::getIamPolicyAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Iam\V1\GetIamPolicyRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\Iam\V1\Policy |
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);
}
setIamPolicy
Sets the access control policy on the specified resource. Replaces any existing policy.
Can return NOT_FOUND
, INVALID_ARGUMENT
, and PERMISSION_DENIED
errors.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::setIamPolicyAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Iam\V1\SetIamPolicyRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\Iam\V1\Policy |
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);
}
testIamPermissions
Returns permissions that a caller has on the specified resource. If the
resource does not exist, this will return an empty set of
permissions, not a NOT_FOUND
error.
Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
The async variant is Google\Cloud\AIPlatform\V1\Client\TensorboardServiceClient::testIamPermissionsAsync() .
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Iam\V1\TestIamPermissionsRequest
A request to house fields associated with the call. |
callOptions |
array
Optional. |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
Returns | |
---|---|
Type | Description |
Google\Cloud\Iam\V1\TestIamPermissionsResponse |
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);
}
batchCreateTensorboardRunsAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\BatchCreateTensorboardRunsRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
batchCreateTensorboardTimeSeriesAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\BatchCreateTensorboardTimeSeriesRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
batchReadTensorboardTimeSeriesDataAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\BatchReadTensorboardTimeSeriesDataRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
createTensorboardAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\CreateTensorboardRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
createTensorboardExperimentAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\CreateTensorboardExperimentRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
createTensorboardRunAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\CreateTensorboardRunRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
createTensorboardTimeSeriesAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\CreateTensorboardTimeSeriesRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
deleteTensorboardAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\DeleteTensorboardRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
deleteTensorboardExperimentAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\DeleteTensorboardExperimentRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
deleteTensorboardRunAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\DeleteTensorboardRunRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
deleteTensorboardTimeSeriesAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\DeleteTensorboardTimeSeriesRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
exportTensorboardTimeSeriesDataAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ExportTensorboardTimeSeriesDataRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
getTensorboardAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\GetTensorboardRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
getTensorboardExperimentAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\GetTensorboardExperimentRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
getTensorboardRunAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\GetTensorboardRunRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
getTensorboardTimeSeriesAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\GetTensorboardTimeSeriesRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
listTensorboardExperimentsAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ListTensorboardExperimentsRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
listTensorboardRunsAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ListTensorboardRunsRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
listTensorboardTimeSeriesAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ListTensorboardTimeSeriesRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
listTensorboardsAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ListTensorboardsRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
readTensorboardSizeAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ReadTensorboardSizeRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
readTensorboardTimeSeriesDataAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ReadTensorboardTimeSeriesDataRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
readTensorboardUsageAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\ReadTensorboardUsageRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
updateTensorboardAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\UpdateTensorboardRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
updateTensorboardExperimentAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\UpdateTensorboardExperimentRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
updateTensorboardRunAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\UpdateTensorboardRunRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
updateTensorboardTimeSeriesAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\UpdateTensorboardTimeSeriesRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
writeTensorboardExperimentDataAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\WriteTensorboardExperimentDataRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
writeTensorboardRunDataAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
getLocationAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Location\GetLocationRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
listLocationsAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Location\ListLocationsRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
getIamPolicyAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Iam\V1\GetIamPolicyRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
setIamPolicyAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Iam\V1\SetIamPolicyRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
testIamPermissionsAsync
Parameters | |
---|---|
Name | Description |
request |
Google\Cloud\Iam\V1\TestIamPermissionsRequest
|
optionalArgs = [] |
array
|
Returns | |
---|---|
Type | Description |
GuzzleHttp\Promise\PromiseInterface |
getOperationsClient
Return an OperationsClient object with the same endpoint as $this.
Returns | |
---|---|
Type | Description |
Google\ApiCore\LongRunning\OperationsClient |
resumeOperation
Resume an existing long running operation that was previously started by a long running API method. If $methodName is not provided, or does not match a long running API method, then the operation can still be resumed, but the OperationResponse object will not deserialize the final response.
Parameters | |
---|---|
Name | Description |
operationName |
string
The name of the long running operation |
methodName |
string
The name of the method used to start the operation |
Returns | |
---|---|
Type | Description |
Google\ApiCore\OperationResponse |
static::locationName
Formats a string containing the fully-qualified path to represent a location resource.
Parameters | |
---|---|
Name | Description |
project |
string
|
location |
string
|
Returns | |
---|---|
Type | Description |
string | The formatted location resource. |
static::tensorboardName
Formats a string containing the fully-qualified path to represent a tensorboard resource.
Parameters | |
---|---|
Name | Description |
project |
string
|
location |
string
|
tensorboard |
string
|
Returns | |
---|---|
Type | Description |
string | The formatted tensorboard resource. |
static::tensorboardExperimentName
Formats a string containing the fully-qualified path to represent a tensorboard_experiment resource.
Parameters | |
---|---|
Name | Description |
project |
string
|
location |
string
|
tensorboard |
string
|
experiment |
string
|
Returns | |
---|---|
Type | Description |
string | The formatted tensorboard_experiment resource. |
static::tensorboardRunName
Formats a string containing the fully-qualified path to represent a tensorboard_run resource.
Parameters | |
---|---|
Name | Description |
project |
string
|
location |
string
|
tensorboard |
string
|
experiment |
string
|
run |
string
|
Returns | |
---|---|
Type | Description |
string | The formatted tensorboard_run resource. |
static::tensorboardTimeSeriesName
Formats a string containing the fully-qualified path to represent a tensorboard_time_series resource.
Parameters | |
---|---|
Name | Description |
project |
string
|
location |
string
|
tensorboard |
string
|
experiment |
string
|
run |
string
|
timeSeries |
string
|
Returns | |
---|---|
Type | Description |
string | The formatted tensorboard_time_series resource. |
static::parseName
Parses a formatted name string and returns an associative array of the components in the name.
The following name formats are supported: Template: Pattern
- location: projects/{project}/locations/{location}
- tensorboard: projects/{project}/locations/{location}/tensorboards/{tensorboard}
- tensorboardExperiment: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
- tensorboardRun: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
- tensorboardTimeSeries: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}
The optional $template argument can be supplied to specify a particular pattern, and must match one of the templates listed above. If no $template argument is provided, or if the $template argument does not match one of the templates listed, then parseName will check each of the supported templates, and return the first match.
Parameters | |
---|---|
Name | Description |
formattedName |
string
The formatted name string |
template |
string
Optional name of template to match |
Returns | |
---|---|
Type | Description |
array | An associative array from name component IDs to component values. |