VertexCustomConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)Message describing VertexCustomConfig.
Attributes |
|
|---|---|
| Name | Description |
max_prediction_fps |
int
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. |
dedicated_resources |
google.cloud.visionai_v1alpha1.types.DedicatedResources
A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration. |
post_processing_cloud_function |
str
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. |
attach_application_metadata |
bool
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; } |