Class FetchBenchmarkingDataRequest.Builder (0.5.0)

Version latest

• 0.5.0 (latest)
• 0.3.0
• 0.2.0
• 0.1.0

public static final class FetchBenchmarkingDataRequest.Builder extends GeneratedMessage.Builder<FetchBenchmarkingDataRequest.Builder> implements FetchBenchmarkingDataRequestOrBuilder

Request message for GkeInferenceQuickstart.FetchBenchmarkingData.

Protobuf type google.cloud.gkerecommender.v1.FetchBenchmarkingDataRequest

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > FetchBenchmarkingDataRequest.Builder

Implements

FetchBenchmarkingDataRequestOrBuilder

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)

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

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

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

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

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

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

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

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

GeneratedMessage.Builder.internalGetMutableMapField(int)

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

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

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

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

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

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

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

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

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

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.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

build()

public FetchBenchmarkingDataRequest build()

Returns
Type	Description
FetchBenchmarkingDataRequest

buildPartial()

public FetchBenchmarkingDataRequest buildPartial()

Returns
Type	Description
FetchBenchmarkingDataRequest

clear()

public FetchBenchmarkingDataRequest.Builder clear()

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearInstanceType()

public FetchBenchmarkingDataRequest.Builder clearInstanceType()

Optional. The instance type to filter benchmarking data. Instance types are in the format a2-highgpu-1g. If not provided, all instance types for the given profile's model_server_info will be returned. Use GkeInferenceQuickstart.FetchProfiles to find available instance types.

string instance_type = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder	This builder for chaining.

clearModelServerInfo()

public FetchBenchmarkingDataRequest.Builder clearModelServerInfo()

Required. The model server configuration to get benchmarking data for. Use GkeInferenceQuickstart.FetchProfiles to find valid configurations.

.google.cloud.gkerecommender.v1.ModelServerInfo model_server_info = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder

clearPricingModel()

public FetchBenchmarkingDataRequest.Builder clearPricingModel()

Optional. The pricing model to use for the benchmarking data. Defaults to spot.

string pricing_model = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder	This builder for chaining.

getDefaultInstanceForType()

public FetchBenchmarkingDataRequest getDefaultInstanceForType()

Returns
Type	Description
FetchBenchmarkingDataRequest

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getInstanceType()

public String getInstanceType()

Optional. The instance type to filter benchmarking data. Instance types are in the format a2-highgpu-1g. If not provided, all instance types for the given profile's model_server_info will be returned. Use GkeInferenceQuickstart.FetchProfiles to find available instance types.

string instance_type = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The instanceType.

getInstanceTypeBytes()

public ByteString getInstanceTypeBytes()

Optional. The instance type to filter benchmarking data. Instance types are in the format a2-highgpu-1g. If not provided, all instance types for the given profile's model_server_info will be returned. Use GkeInferenceQuickstart.FetchProfiles to find available instance types.

string instance_type = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for instanceType.

getModelServerInfo()

public ModelServerInfo getModelServerInfo()

Required. The model server configuration to get benchmarking data for. Use GkeInferenceQuickstart.FetchProfiles to find valid configurations.

.google.cloud.gkerecommender.v1.ModelServerInfo model_server_info = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ModelServerInfo	The modelServerInfo.

getModelServerInfoBuilder()

public ModelServerInfo.Builder getModelServerInfoBuilder()

Required. The model server configuration to get benchmarking data for. Use GkeInferenceQuickstart.FetchProfiles to find valid configurations.

.google.cloud.gkerecommender.v1.ModelServerInfo model_server_info = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ModelServerInfo.Builder

getModelServerInfoOrBuilder()

public ModelServerInfoOrBuilder getModelServerInfoOrBuilder()

Required. The model server configuration to get benchmarking data for. Use GkeInferenceQuickstart.FetchProfiles to find valid configurations.

.google.cloud.gkerecommender.v1.ModelServerInfo model_server_info = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ModelServerInfoOrBuilder

getPricingModel()

public String getPricingModel()

Optional. The pricing model to use for the benchmarking data. Defaults to spot.

string pricing_model = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The pricingModel.

getPricingModelBytes()

public ByteString getPricingModelBytes()

Optional. The pricing model to use for the benchmarking data. Defaults to spot.

string pricing_model = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for pricingModel.

hasModelServerInfo()

public boolean hasModelServerInfo()

Required. The model server configuration to get benchmarking data for. Use GkeInferenceQuickstart.FetchProfiles to find valid configurations.

.google.cloud.gkerecommender.v1.ModelServerInfo model_server_info = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
boolean	Whether the modelServerInfo field is set.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeFrom(FetchBenchmarkingDataRequest other)

public FetchBenchmarkingDataRequest.Builder mergeFrom(FetchBenchmarkingDataRequest other)

Parameter
Name	Description
other	FetchBenchmarkingDataRequest

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public FetchBenchmarkingDataRequest.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder

Overrides

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

mergeModelServerInfo(ModelServerInfo value)

public FetchBenchmarkingDataRequest.Builder mergeModelServerInfo(ModelServerInfo value)

Required. The model server configuration to get benchmarking data for. Use GkeInferenceQuickstart.FetchProfiles to find valid configurations.

.google.cloud.gkerecommender.v1.ModelServerInfo model_server_info = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	ModelServerInfo

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder

setInstanceType(String value)

public FetchBenchmarkingDataRequest.Builder setInstanceType(String value)

Optional. The instance type to filter benchmarking data. Instance types are in the format a2-highgpu-1g. If not provided, all instance types for the given profile's model_server_info will be returned. Use GkeInferenceQuickstart.FetchProfiles to find available instance types.

string instance_type = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	String The instanceType to set.

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder	This builder for chaining.

setInstanceTypeBytes(ByteString value)

public FetchBenchmarkingDataRequest.Builder setInstanceTypeBytes(ByteString value)

Optional. The instance type to filter benchmarking data. Instance types are in the format a2-highgpu-1g. If not provided, all instance types for the given profile's model_server_info will be returned. Use GkeInferenceQuickstart.FetchProfiles to find available instance types.

string instance_type = 3 [(.google.api.field_behavior) = OPTIONAL];

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

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder	This builder for chaining.

setModelServerInfo(ModelServerInfo value)

public FetchBenchmarkingDataRequest.Builder setModelServerInfo(ModelServerInfo value)

Required. The model server configuration to get benchmarking data for. Use GkeInferenceQuickstart.FetchProfiles to find valid configurations.

.google.cloud.gkerecommender.v1.ModelServerInfo model_server_info = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	ModelServerInfo

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder

setModelServerInfo(ModelServerInfo.Builder builderForValue)

public FetchBenchmarkingDataRequest.Builder setModelServerInfo(ModelServerInfo.Builder builderForValue)

Required. The model server configuration to get benchmarking data for. Use GkeInferenceQuickstart.FetchProfiles to find valid configurations.

.google.cloud.gkerecommender.v1.ModelServerInfo model_server_info = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	ModelServerInfo.Builder

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder

setPricingModel(String value)

public FetchBenchmarkingDataRequest.Builder setPricingModel(String value)

Optional. The pricing model to use for the benchmarking data. Defaults to spot.

string pricing_model = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	String The pricingModel to set.

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder	This builder for chaining.

setPricingModelBytes(ByteString value)

public FetchBenchmarkingDataRequest.Builder setPricingModelBytes(ByteString value)

Optional. The pricing model to use for the benchmarking data. Defaults to spot.

string pricing_model = 4 [(.google.api.field_behavior) = OPTIONAL];

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

Returns
Type	Description
FetchBenchmarkingDataRequest.Builder	This builder for chaining.