Interface VertexCustomConfigOrBuilder (0.14.1)

public interface VertexCustomConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAttachApplicationMetadata()

public abstract boolean getAttachApplicationMetadata()

If true, the prediction request received by custom model will also contain metadata with the following schema: 'appPlatformMetadata': { 'ingestionTime': DOUBLE; (UNIX timestamp) 'application': STRING; 'instanceId': STRING; 'node': STRING; 'processor': STRING; }

bool attach_application_metadata = 4;

Returns
Type	Description
`boolean`	The attachApplicationMetadata.

getDedicatedResources()

public abstract DedicatedResources getDedicatedResources()

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.events.cloud.visionai.v1.DedicatedResources dedicated_resources = 2;

Returns
Type	Description
`DedicatedResources`	The dedicatedResources.

getDedicatedResourcesOrBuilder()

public abstract DedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.events.cloud.visionai.v1.DedicatedResources dedicated_resources = 2;

Returns
Type	Description
`DedicatedResourcesOrBuilder`

getMaxPredictionFps()

public abstract int getMaxPredictionFps()

The max prediction frame per second. This attribute sets how fast the operator sends prediction requests to Vertex AI endpoint. Default value is 0, which means there is no max prediction fps limit. The operator sends prediction requests at input fps.

int32 max_prediction_fps = 1;

Returns
Type	Description
`int`	The maxPredictionFps.

getPostProcessingCloudFunction()

public abstract String getPostProcessingCloudFunction()

If not empty, the prediction result will be sent to the specified cloud function for post processing.

The cloud function will receive AppPlatformCloudFunctionRequest where the annotations field will be the json format of proto PredictResponse.
The cloud function should return AppPlatformCloudFunctionResponse with PredictResponse stored in the annotations field.
To drop the prediction output, simply clear the payload field in the returned AppPlatformCloudFunctionResponse.

string post_processing_cloud_function = 3;

Returns
Type	Description
`String`	The postProcessingCloudFunction.

getPostProcessingCloudFunctionBytes()

public abstract ByteString getPostProcessingCloudFunctionBytes()

If not empty, the prediction result will be sent to the specified cloud function for post processing.

The cloud function will receive AppPlatformCloudFunctionRequest where the annotations field will be the json format of proto PredictResponse.
The cloud function should return AppPlatformCloudFunctionResponse with PredictResponse stored in the annotations field.
To drop the prediction output, simply clear the payload field in the returned AppPlatformCloudFunctionResponse.

string post_processing_cloud_function = 3;

Returns
Type	Description
`ByteString`	The bytes for postProcessingCloudFunction.

hasDedicatedResources()

public abstract boolean hasDedicatedResources()

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.events.cloud.visionai.v1.DedicatedResources dedicated_resources = 2;

Returns
Type	Description
`boolean`	Whether the dedicatedResources field is set.