Reference documentation and code samples for the Google Cloud Vision Ai V1 Client class VertexCustomConfig.
Message describing VertexCustomConfig.
Generated from protobuf message google.cloud.visionai.v1.VertexCustomConfig
Namespace
Google \ Cloud \ VisionAI \ V1Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ 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 |
DedicatedResources
A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration. |
↳ post_processing_cloud_function |
string
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; } |
↳ dynamic_config_input_topic |
string
Optional. By setting the configuration_input_topic, processor will subscribe to given topic, only pub/sub topic is supported now. Example channel: //pubsub.googleapis.com/projects/visionai-testing-stable/topics/test-topic message schema should be: message Message { // The ID of the stream that associates with the application instance. string stream_id = 1; // The target fps. By default, the custom processor will not send any data to the Vertex Prediction container. Note that once the dynamic_config_input_topic is set, max_prediction_fps will not work and be preceded by the fps set inside the topic. int32 fps = 2; } |
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.
| Returns | |
|---|---|
| Type | Description |
int |
|
setMaxPredictionFps
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.
| Parameter | |
|---|---|
| Name | Description |
var |
int
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
getDedicatedResources
A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
| Returns | |
|---|---|
| Type | Description |
DedicatedResources|null |
|
hasDedicatedResources
clearDedicatedResources
setDedicatedResources
A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
| Parameter | |
|---|---|
| Name | Description |
var |
DedicatedResources
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
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.
| Returns | |
|---|---|
| Type | Description |
string |
|
setPostProcessingCloudFunction
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.
| Parameter | |
|---|---|
| Name | Description |
var |
string
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
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; }
| Returns | |
|---|---|
| Type | Description |
bool |
|
setAttachApplicationMetadata
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; }
| Parameter | |
|---|---|
| Name | Description |
var |
bool
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
getDynamicConfigInputTopic
Optional. By setting the configuration_input_topic, processor will subscribe to given topic, only pub/sub topic is supported now. Example channel: //pubsub.googleapis.com/projects/visionai-testing-stable/topics/test-topic message schema should be: message Message { // The ID of the stream that associates with the application instance.
string stream_id = 1; // The target fps. By default, the custom processor will not send any data to the Vertex Prediction container. Note that once the dynamic_config_input_topic is set, max_prediction_fps will not work and be preceded by the fps set inside the topic. int32 fps = 2; }
| Returns | |
|---|---|
| Type | Description |
string |
|
hasDynamicConfigInputTopic
clearDynamicConfigInputTopic
setDynamicConfigInputTopic
Optional. By setting the configuration_input_topic, processor will subscribe to given topic, only pub/sub topic is supported now. Example channel: //pubsub.googleapis.com/projects/visionai-testing-stable/topics/test-topic message schema should be: message Message { // The ID of the stream that associates with the application instance.
string stream_id = 1; // The target fps. By default, the custom processor will not send any data to the Vertex Prediction container. Note that once the dynamic_config_input_topic is set, max_prediction_fps will not work and be preceded by the fps set inside the topic. int32 fps = 2; }
| Parameter | |
|---|---|
| Name | Description |
var |
string
|
| Returns | |
|---|---|
| Type | Description |
$this |
|