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. Sample code to get started:
$tensorboardServiceClient = new TensorboardServiceClient();
try {
$formattedParent = $tensorboardServiceClient->tensorboardExperimentName('[PROJECT]', '[LOCATION]', '[TENSORBOARD]', '[EXPERIMENT]');
$requests = [];
$response = $tensorboardServiceClient->batchCreateTensorboardRuns($formattedParent, $requests);
} finally {
$tensorboardServiceClient->close();
}
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.
Methods
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. |
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. |
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. |
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. |
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. |
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. |
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 | |
__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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the TensorboardExperiment to create the
TensorboardRuns in. Format:
|
requests |
array<Google\Cloud\AIPlatform\V1\CreateTensorboardRunRequest>
Required. The request message specifying the TensorboardRuns to create. A maximum of 1000 TensorboardRuns can be created in a batch. |
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the TensorboardExperiment to create the
TensorboardTimeSeries in.
Format:
|
requests |
array<Google\Cloud\AIPlatform\V1\CreateTensorboardTimeSeriesRequest>
Required. The request message specifying the TensorboardTimeSeries to create. A maximum of 1000 TensorboardTimeSeries can be created in a batch. |
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
tensorboard |
string
Required. The resource name of the Tensorboard containing
TensorboardTimeSeries to read data from. Format:
|
timeSeries |
string[]
Required. The resource names of the TensorboardTimeSeries to read data
from. Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the Location to create the Tensorboard in.
Format: |
tensorboard |
Google\Cloud\AIPlatform\V1\Tensorboard
Required. The Tensorboard to create. |
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the Tensorboard to create the
TensorboardExperiment in. Format:
|
tensorboardExperimentId |
string
Required. The ID to use for the Tensorboard experiment, which becomes the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. |
optionalArgs |
array
Optional. |
↳ tensorboardExperiment |
TensorboardExperiment
The TensorboardExperiment to create. |
↳ 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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the TensorboardExperiment to create the
TensorboardRun in. Format:
|
tensorboardRun |
Google\Cloud\AIPlatform\V1\TensorboardRun
Required. The TensorboardRun to create. |
tensorboardRunId |
string
Required. The ID to use for the Tensorboard run, which becomes the final component of the Tensorboard run's resource name. This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. |
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the TensorboardRun to create the
TensorboardTimeSeries in.
Format:
|
tensorboardTimeSeries |
Google\Cloud\AIPlatform\V1\TensorboardTimeSeries
Required. The TensorboardTimeSeries to create. |
optionalArgs |
array
Optional. |
↳ tensorboardTimeSeriesId |
string
Optional. The user specified unique ID to use for the TensorboardTimeSeries, which becomes the final component of the TensorboardTimeSeries's resource name. This value should match "[a-z0-9][a-z0-9-]{0, 127}" |
↳ 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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. The name of the Tensorboard to be deleted.
Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. The name of the TensorboardExperiment to be deleted.
Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. The name of the TensorboardRun to be deleted.
Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. The name of the TensorboardTimeSeries to be deleted.
Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
tensorboardTimeSeries |
string
Required. The resource name of the TensorboardTimeSeries to export data
from. Format:
|
optionalArgs |
array
Optional. |
↳ filter |
string
Exports the TensorboardTimeSeries' data that match the filter expression. |
↳ pageSize |
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved. |
↳ pageToken |
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API. |
↳ orderBy |
string
Field to use to sort the TensorboardTimeSeries' data. By default, TensorboardTimeSeries' data is returned in a pseudo random order. |
↳ 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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. The name of the Tensorboard resource.
Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. The name of the TensorboardExperiment resource.
Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. The name of the TensorboardRun resource.
Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. The name of the TensorboardTimeSeries resource.
Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the Tensorboard to list
TensorboardExperiments. Format:
|
optionalArgs |
array
Optional. |
↳ filter |
string
Lists the TensorboardExperiments that match the filter expression. |
↳ pageSize |
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved. |
↳ pageToken |
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API. |
↳ orderBy |
string
Field to use to sort the list. |
↳ readMask |
FieldMask
Mask specifying which fields to read. |
↳ 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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the TensorboardExperiment to list
TensorboardRuns. Format:
|
optionalArgs |
array
Optional. |
↳ filter |
string
Lists the TensorboardRuns that match the filter expression. |
↳ pageSize |
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved. |
↳ pageToken |
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API. |
↳ orderBy |
string
Field to use to sort the list. |
↳ readMask |
FieldMask
Mask specifying which fields to read. |
↳ 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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the TensorboardRun to list
TensorboardTimeSeries. Format:
|
optionalArgs |
array
Optional. |
↳ filter |
string
Lists the TensorboardTimeSeries that match the filter expression. |
↳ pageSize |
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved. |
↳ pageToken |
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API. |
↳ orderBy |
string
Field to use to sort the list. |
↳ readMask |
FieldMask
Mask specifying which fields to read. |
↳ 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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
parent |
string
Required. The resource name of the Location to list Tensorboards.
Format:
|
optionalArgs |
array
Optional. |
↳ filter |
string
Lists the Tensorboards that match the filter expression. |
↳ pageSize |
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved. |
↳ pageToken |
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API. |
↳ orderBy |
string
Field to use to sort the list. |
↳ readMask |
FieldMask
Mask specifying which fields to read. |
↳ 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());
}
}
/**
* 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 |
timeSeries |
string
Required. The resource name of the TensorboardTimeSeries to list Blobs.
Format:
|
optionalArgs |
array
Optional. |
↳ blobIds |
string[]
IDs of the blobs to read. |
↳ 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());
}
}
/**
* 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);
}
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.
| Parameters | |
|---|---|
| Name | Description |
tensorboardTimeSeries |
string
Required. The resource name of the TensorboardTimeSeries to read data from.
Format:
|
optionalArgs |
array
Optional. |
↳ maxDataPoints |
int
The maximum number of TensorboardTimeSeries' data to return. This value should be a positive integer. This value can be set to -1 to return all data. |
↳ filter |
string
Reads the TensorboardTimeSeries' data that match the filter expression. |
↳ 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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
tensorboard |
string
Required. The name of the Tensorboard resource.
Format:
|
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
updateMask |
Google\Protobuf\FieldMask
Required. Field mask is used to specify the fields to be overwritten in the Tensorboard resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified. |
tensorboard |
Google\Cloud\AIPlatform\V1\Tensorboard
Required. The Tensorboard's |
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
updateMask |
Google\Protobuf\FieldMask
Required. Field mask is used to specify the fields to be overwritten in the TensorboardExperiment resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified. |
tensorboardExperiment |
Google\Cloud\AIPlatform\V1\TensorboardExperiment
Required. The TensorboardExperiment's |
optionalArgs |
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.
| Parameters | |
|---|---|
| Name | Description |
updateMask |
Google\Protobuf\FieldMask
Required. Field mask is used to specify the fields to be overwritten in the TensorboardRun resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified. |
tensorboardRun |
Google\Cloud\AIPlatform\V1\TensorboardRun
Required. The TensorboardRun's |
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
updateMask |
Google\Protobuf\FieldMask
Required. Field mask is used to specify the fields to be overwritten in the TensorboardTimeSeries resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified. |
tensorboardTimeSeries |
Google\Cloud\AIPlatform\V1\TensorboardTimeSeries
Required. The TensorboardTimeSeries' |
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
tensorboardExperiment |
string
Required. The resource name of the TensorboardExperiment to write data to.
Format:
|
writeRunDataRequests |
array<Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataRequest>
Required. Requests containing per-run TensorboardTimeSeries data to write. |
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
tensorboardRun |
string
Required. The resource name of the TensorboardRun to write data to.
Format:
|
timeSeriesData |
array<Google\Cloud\AIPlatform\V1\TimeSeriesData>
Required. The TensorboardTimeSeries data to write. Values with in a time series are indexed by their step value. Repeated writes to the same step will overwrite the existing value for that step. The upper limit of data points per write request is 5000. |
optionalArgs |
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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
optionalArgs |
array
Optional. |
↳ name |
string
Resource name for the location. |
↳ 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.
| Parameters | |
|---|---|
| Name | Description |
optionalArgs |
array
Optional. |
↳ name |
string
The resource that owns the locations collection, if applicable. |
↳ filter |
string
The standard list filter. |
↳ pageSize |
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved. |
↳ pageToken |
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API. |
↳ 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.
| Parameters | |
|---|---|
| Name | Description |
resource |
string
REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field. |
optionalArgs |
array
Optional. |
↳ options |
GetPolicyOptions
OPTIONAL: A |
↳ 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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
resource |
string
REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field. |
policy |
Google\Cloud\Iam\V1\Policy
REQUIRED: The complete policy to be applied to the |
optionalArgs |
array
Optional. |
↳ updateMask |
FieldMask
OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only the fields in the mask will be modified. If no mask is provided, the following default mask is used: |
↳ 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());
}
}
/**
* 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.
| Parameters | |
|---|---|
| Name | Description |
resource |
string
REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field. |
permissions |
string[]
The set of permissions to check for the |
optionalArgs |
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());
}
}
/**
* 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);
}
Constants
SERVICE_NAME
Value: 'google.cloud.aiplatform.v1.TensorboardService'The name of the service.
SERVICE_ADDRESS
Value: 'aiplatform.googleapis.com'The default address of the service.
DEFAULT_SERVICE_PORT
Value: 443The default port of the service.
CODEGEN_NAME
Value: 'gapic'The name of the code generator, to be included in the agent header.