Class VertexCustomConfig.Builder (0.2.0)

Version latest

• 0.2.0 (latest)
• 0.1.0

public static final class VertexCustomConfig.Builder extends GeneratedMessageV3.Builder<VertexCustomConfig.Builder> implements VertexCustomConfigOrBuilder

Message describing VertexCustomConfig.

Protobuf type google.cloud.visionai.v1.VertexCustomConfig

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > VertexCustomConfig.Builder

Implements

VertexCustomConfigOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public VertexCustomConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public VertexCustomConfig build()

Returns
Type	Description
VertexCustomConfig

buildPartial()

public VertexCustomConfig buildPartial()

Returns
Type	Description
VertexCustomConfig

clear()

public VertexCustomConfig.Builder clear()

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearAttachApplicationMetadata()

public VertexCustomConfig.Builder clearAttachApplicationMetadata()

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
VertexCustomConfig.Builder	This builder for chaining.

clearDedicatedResources()

public VertexCustomConfig.Builder clearDedicatedResources()

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
VertexCustomConfig.Builder

clearDynamicConfigInputTopic()

public VertexCustomConfig.Builder clearDynamicConfigInputTopic()

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
VertexCustomConfig.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public VertexCustomConfig.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearMaxPredictionFps()

public VertexCustomConfig.Builder clearMaxPredictionFps()

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
VertexCustomConfig.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public VertexCustomConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearPostProcessingCloudFunction()

public VertexCustomConfig.Builder clearPostProcessingCloudFunction()

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
VertexCustomConfig.Builder	This builder for chaining.

clone()

public VertexCustomConfig.Builder clone()

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getAttachApplicationMetadata()

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;

Returns
Type	Description
DedicatedResources	The dedicatedResources.

getDedicatedResourcesBuilder()

public DedicatedResources.Builder getDedicatedResourcesBuilder()

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
DedicatedResources.Builder

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;

Returns
Type	Description
DedicatedResourcesOrBuilder

getDefaultInstanceForType()

public VertexCustomConfig getDefaultInstanceForType()

Returns
Type	Description
VertexCustomConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDynamicConfigInputTopic()

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.

getDynamicConfigInputTopicBytes()

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.

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.

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.

hasDynamicConfigInputTopic()

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.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeDedicatedResources(DedicatedResources value)

public VertexCustomConfig.Builder mergeDedicatedResources(DedicatedResources value)

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;

Parameter
Name	Description
value	DedicatedResources

Returns
Type	Description
VertexCustomConfig.Builder

mergeFrom(VertexCustomConfig other)

public VertexCustomConfig.Builder mergeFrom(VertexCustomConfig other)

Parameter
Name	Description
other	VertexCustomConfig

Returns
Type	Description
VertexCustomConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public VertexCustomConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public VertexCustomConfig.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final VertexCustomConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setAttachApplicationMetadata(boolean value)

public VertexCustomConfig.Builder setAttachApplicationMetadata(boolean value)

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;

Parameter
Name	Description
value	boolean The attachApplicationMetadata to set.

Returns
Type	Description
VertexCustomConfig.Builder	This builder for chaining.

setDedicatedResources(DedicatedResources value)

public VertexCustomConfig.Builder setDedicatedResources(DedicatedResources value)

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;

Parameter
Name	Description
value	DedicatedResources

Returns
Type	Description
VertexCustomConfig.Builder

setDedicatedResources(DedicatedResources.Builder builderForValue)

public VertexCustomConfig.Builder setDedicatedResources(DedicatedResources.Builder builderForValue)

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;

Parameter
Name	Description
builderForValue	DedicatedResources.Builder

Returns
Type	Description
VertexCustomConfig.Builder

setDynamicConfigInputTopic(String value)

public VertexCustomConfig.Builder setDynamicConfigInputTopic(String value)

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];

Parameter
Name	Description
value	String The dynamicConfigInputTopic to set.

Returns
Type	Description
VertexCustomConfig.Builder	This builder for chaining.

setDynamicConfigInputTopicBytes(ByteString value)

public VertexCustomConfig.Builder setDynamicConfigInputTopicBytes(ByteString value)

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];

Parameter
Name	Description
value	ByteString The bytes for dynamicConfigInputTopic to set.

Returns
Type	Description
VertexCustomConfig.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public VertexCustomConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setMaxPredictionFps(int value)

public VertexCustomConfig.Builder setMaxPredictionFps(int value)

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;

Parameter
Name	Description
value	int The maxPredictionFps to set.

Returns
Type	Description
VertexCustomConfig.Builder	This builder for chaining.

setPostProcessingCloudFunction(String value)

public VertexCustomConfig.Builder setPostProcessingCloudFunction(String value)

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;

Parameter
Name	Description
value	String The postProcessingCloudFunction to set.

Returns
Type	Description
VertexCustomConfig.Builder	This builder for chaining.

setPostProcessingCloudFunctionBytes(ByteString value)

public VertexCustomConfig.Builder setPostProcessingCloudFunctionBytes(ByteString value)

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;

Parameter
Name	Description
value	ByteString The bytes for postProcessingCloudFunction to set.

Returns
Type	Description
VertexCustomConfig.Builder	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public VertexCustomConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final VertexCustomConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
VertexCustomConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)