public final class VertexCustomConfig extends GeneratedMessageV3 implements VertexCustomConfigOrBuilder
Message describing VertexCustomConfig.
Protobuf type google.cloud.visionai.v1.VertexCustomConfig
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)
Static Fields
public static final int ATTACH_APPLICATION_METADATA_FIELD_NUMBER
| Field Value |
| Type |
Description |
int |
|
DEDICATED_RESOURCES_FIELD_NUMBER
public static final int DEDICATED_RESOURCES_FIELD_NUMBER
| Field Value |
| Type |
Description |
int |
|
public static final int DYNAMIC_CONFIG_INPUT_TOPIC_FIELD_NUMBER
| Field Value |
| Type |
Description |
int |
|
MAX_PREDICTION_FPS_FIELD_NUMBER
public static final int MAX_PREDICTION_FPS_FIELD_NUMBER
| Field Value |
| Type |
Description |
int |
|
POST_PROCESSING_CLOUD_FUNCTION_FIELD_NUMBER
public static final int POST_PROCESSING_CLOUD_FUNCTION_FIELD_NUMBER
| Field Value |
| Type |
Description |
int |
|
Static Methods
getDefaultInstance()
public static VertexCustomConfig getDefaultInstance()
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
newBuilder()
public static VertexCustomConfig.Builder newBuilder()
newBuilder(VertexCustomConfig prototype)
public static VertexCustomConfig.Builder newBuilder(VertexCustomConfig prototype)
public static VertexCustomConfig parseDelimitedFrom(InputStream input)
public static VertexCustomConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(byte[] data)
public static VertexCustomConfig parseFrom(byte[] data)
| Parameter |
| Name |
Description |
data |
byte[]
|
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static VertexCustomConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteString data)
public static VertexCustomConfig parseFrom(ByteString data)
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static VertexCustomConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static VertexCustomConfig parseFrom(CodedInputStream input)
public static VertexCustomConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static VertexCustomConfig parseFrom(InputStream input)
public static VertexCustomConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteBuffer data)
public static VertexCustomConfig parseFrom(ByteBuffer data)
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static VertexCustomConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
parser()
public static Parser<VertexCustomConfig> parser()
Methods
equals(Object obj)
public boolean equals(Object obj)
| Parameter |
| Name |
Description |
obj |
Object
|
Overrides
public 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 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;
getDedicatedResourcesOrBuilder()
public 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;
getDefaultInstanceForType()
public VertexCustomConfig getDefaultInstanceForType()
public 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 |
| Type |
Description |
String |
The dynamicConfigInputTopic.
|
public 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 |
| Type |
Description |
ByteString |
The bytes for dynamicConfigInputTopic.
|
getMaxPredictionFps()
public 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.
|
getParserForType()
public Parser<VertexCustomConfig> getParserForType()
Overrides
getPostProcessingCloudFunction()
public 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 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.
|
getSerializedSize()
public int getSerializedSize()
| Returns |
| Type |
Description |
int |
|
Overrides
hasDedicatedResources()
public 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 |
| Type |
Description |
boolean |
Whether the dedicatedResources field is set.
|
public 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 |
| Type |
Description |
boolean |
Whether the dynamicConfigInputTopic field is set.
|
hashCode()
| Returns |
| Type |
Description |
int |
|
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
isInitialized()
public final boolean isInitialized()
Overrides
newBuilderForType()
public VertexCustomConfig.Builder newBuilderForType()
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected VertexCustomConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
| Returns |
| Type |
Description |
Object |
|
Overrides
toBuilder()
public VertexCustomConfig.Builder toBuilder()
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Overrides
