Package com.google.cloud.visionai.v1

Interface VertexCustomConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
VertexCustomConfig, VertexCustomConfig.Builder
@Generated public interface VertexCustomConfigOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    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; }
    DedicatedResources
    getDedicatedResources()
    A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
    DedicatedResourcesOrBuilder
    getDedicatedResourcesOrBuilder()
    A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
    String
    getDynamicConfigInputTopic()
    Optional.
    com.google.protobuf.ByteString
    getDynamicConfigInputTopicBytes()
    Optional.
    int
    getMaxPredictionFps()
    The max prediction frame per second.
    String
    getPostProcessingCloudFunction()
    If not empty, the prediction result will be sent to the specified cloud function for post processing
    com.google.protobuf.ByteString
    getPostProcessingCloudFunctionBytes()
    If not empty, the prediction result will be sent to the specified cloud function for post processing
    boolean
    hasDedicatedResources()
    A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
    boolean
    hasDynamicConfigInputTopic()
    Optional.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getMaxPredictionFps

      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:
      The maxPredictionFps.

    • hasDedicatedResources

      boolean hasDedicatedResources()
       A description of resources that are dedicated to the DeployedModel, and
 that need a higher degree of manual configuration.
      .google.cloud.visionai.v1.DedicatedResources dedicated_resources = 2;
      Returns:
      Whether the dedicatedResources field is set.

    • getDedicatedResources

      DedicatedResources getDedicatedResources()
       A description of resources that are dedicated to the DeployedModel, and
 that need a higher degree of manual configuration.
      .google.cloud.visionai.v1.DedicatedResources dedicated_resources = 2;
      Returns:
      The dedicatedResources.

    • getDedicatedResourcesOrBuilder

      DedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()
       A description of resources that are dedicated to the DeployedModel, and
 that need a higher degree of manual configuration.
      .google.cloud.visionai.v1.DedicatedResources dedicated_resources = 2;

    • getPostProcessingCloudFunction

      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:
      The postProcessingCloudFunction.

    • getPostProcessingCloudFunctionBytes

      com.google.protobuf.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:
      The bytes for postProcessingCloudFunction.

    • getAttachApplicationMetadata

      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:
      The attachApplicationMetadata.

    • hasDynamicConfigInputTopic

      boolean hasDynamicConfigInputTopic()
       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;
 }
      optional string dynamic_config_input_topic = 6 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the dynamicConfigInputTopic field is set.

    • getDynamicConfigInputTopic

      String 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;
 }
      optional string dynamic_config_input_topic = 6 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The dynamicConfigInputTopic.

    • getDynamicConfigInputTopicBytes

      com.google.protobuf.ByteString getDynamicConfigInputTopicBytes()
       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;
 }
      optional string dynamic_config_input_topic = 6 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for dynamicConfigInputTopic.