Class Model.ModelProto.OptimizationParams.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<Model.ModelProto.OptimizationParams.Builder>

com.google.protobuf.GeneratedMessage.Builder<Model.ModelProto.OptimizationParams.Builder>

org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder

All Implemented Interfaces:

Message.Builder, MessageLite.Builder, MessageLiteOrBuilder, MessageOrBuilder, Cloneable, Model.ModelProto.OptimizationParamsOrBuilder

Enclosing class:

Model.ModelProto.OptimizationParams

public static final class Model.ModelProto.OptimizationParams.Builder
extends GeneratedMessage.Builder<Model.ModelProto.OptimizationParams.Builder>
implements Model.ModelProto.OptimizationParamsOrBuilder

Contains parameters of the model autotuning optimization.

Protobuf type tensorflow.data.model.ModelProto.OptimizationParams

Method Summary

Modifier and Type	Method	Description
Model.ModelProto.OptimizationParams	build()
Model.ModelProto.OptimizationParams	buildPartial()
Model.ModelProto.OptimizationParams.Builder	clear()
Model.ModelProto.OptimizationParams.Builder	clearAlgorithm()	Algorithm used for autotuning optimization.
Model.ModelProto.OptimizationParams.Builder	clearCpuBudget()	Number of available logical threads.
Model.ModelProto.OptimizationParams.Builder	clearModelInputTime()	Time between two consecutive `GetNext` calls to the iterator represented by the output node.
Model.ModelProto.OptimizationParams.Builder	clearRamBudget()	Amount of available memory in bytes.
Model.AutotuneAlgorithm	getAlgorithm()	Algorithm used for autotuning optimization.
int	getAlgorithmValue()	Algorithm used for autotuning optimization.
long	getCpuBudget()	Number of available logical threads.
Model.ModelProto.OptimizationParams	getDefaultInstanceForType()
static final Descriptors.Descriptor	getDescriptor()
Descriptors.Descriptor	getDescriptorForType()
double	getModelInputTime()	Time between two consecutive `GetNext` calls to the iterator represented by the output node.
long	getRamBudget()	Amount of available memory in bytes.
protected GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
Model.ModelProto.OptimizationParams.Builder	mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Model.ModelProto.OptimizationParams.Builder	mergeFrom(Message other)
Model.ModelProto.OptimizationParams.Builder	mergeFrom(Model.ModelProto.OptimizationParams other)
Model.ModelProto.OptimizationParams.Builder	setAlgorithm(Model.AutotuneAlgorithm value)	Algorithm used for autotuning optimization.
Model.ModelProto.OptimizationParams.Builder	setAlgorithmValue(int value)	Algorithm used for autotuning optimization.
Model.ModelProto.OptimizationParams.Builder	setCpuBudget(long value)	Number of available logical threads.
Model.ModelProto.OptimizationParams.Builder	setModelInputTime(double value)	Time between two consecutive `GetNext` calls to the iterator represented by the output node.
Model.ModelProto.OptimizationParams.Builder	setRamBudget(long value)	Amount of available memory in bytes.

Methods inherited from class GeneratedMessage.Builder

addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Details

getDescriptor

public static final Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class GeneratedMessage.Builder<Model.ModelProto.OptimizationParams.Builder>

clear

public Model.ModelProto.OptimizationParams.Builder clear()

Specified by:

clear in interface Message.Builder

Specified by:

clear in interface MessageLite.Builder

Overrides:

clear in class GeneratedMessage.Builder<Model.ModelProto.OptimizationParams.Builder>

getDescriptorForType

public Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface Message.Builder

Specified by:

getDescriptorForType in interface MessageOrBuilder

Overrides:

getDescriptorForType in class GeneratedMessage.Builder<Model.ModelProto.OptimizationParams.Builder>

getDefaultInstanceForType

public Model.ModelProto.OptimizationParams getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface MessageOrBuilder

build

public Model.ModelProto.OptimizationParams build()

Specified by:

build in interface Message.Builder

Specified by:

build in interface MessageLite.Builder

buildPartial

public Model.ModelProto.OptimizationParams buildPartial()

Specified by:

buildPartial in interface Message.Builder

Specified by:

buildPartial in interface MessageLite.Builder

mergeFrom

public Model.ModelProto.OptimizationParams.Builder mergeFrom(Message other)

Specified by:

mergeFrom in interface Message.Builder

Overrides:

mergeFrom in class AbstractMessage.Builder<Model.ModelProto.OptimizationParams.Builder>

mergeFrom

public Model.ModelProto.OptimizationParams.Builder mergeFrom(Model.ModelProto.OptimizationParams other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface MessageLiteOrBuilder

Overrides:

isInitialized in class GeneratedMessage.Builder<Model.ModelProto.OptimizationParams.Builder>

mergeFrom

public Model.ModelProto.OptimizationParams.Builder mergeFrom(CodedInputStream input,
 ExtensionRegistryLite extensionRegistry)
                                                      throws IOException

Specified by:

mergeFrom in interface Message.Builder

Specified by:

mergeFrom in interface MessageLite.Builder

Overrides:

mergeFrom in class AbstractMessage.Builder<Model.ModelProto.OptimizationParams.Builder>

Throws:

IOException

getAlgorithmValue

public int getAlgorithmValue()

Algorithm used for autotuning optimization.

.tensorflow.data.model.AutotuneAlgorithm algorithm = 1;

Specified by:

getAlgorithmValue in interface Model.ModelProto.OptimizationParamsOrBuilder

Returns:

The enum numeric value on the wire for algorithm.

setAlgorithmValue

public Model.ModelProto.OptimizationParams.Builder setAlgorithmValue(int value)

Algorithm used for autotuning optimization.

.tensorflow.data.model.AutotuneAlgorithm algorithm = 1;

Parameters:

value - The enum numeric value on the wire for algorithm to set.

Returns:

This builder for chaining.

getAlgorithm

public Model.AutotuneAlgorithm getAlgorithm()

Algorithm used for autotuning optimization.

.tensorflow.data.model.AutotuneAlgorithm algorithm = 1;

Specified by:

getAlgorithm in interface Model.ModelProto.OptimizationParamsOrBuilder

Returns:

The algorithm.

setAlgorithm

public Model.ModelProto.OptimizationParams.Builder setAlgorithm(Model.AutotuneAlgorithm value)

Algorithm used for autotuning optimization.

.tensorflow.data.model.AutotuneAlgorithm algorithm = 1;

Parameters:

value - The algorithm to set.

Returns:

This builder for chaining.

clearAlgorithm

public Model.ModelProto.OptimizationParams.Builder clearAlgorithm()

Algorithm used for autotuning optimization.

.tensorflow.data.model.AutotuneAlgorithm algorithm = 1;

Returns:

This builder for chaining.

getCpuBudget

public long getCpuBudget()

Number of available logical threads.

int64 cpu_budget = 2;

Specified by:

getCpuBudget in interface Model.ModelProto.OptimizationParamsOrBuilder

Returns:

The cpuBudget.

setCpuBudget

public Model.ModelProto.OptimizationParams.Builder setCpuBudget(long value)

Number of available logical threads.

int64 cpu_budget = 2;

Parameters:

value - The cpuBudget to set.

Returns:

This builder for chaining.

clearCpuBudget

public Model.ModelProto.OptimizationParams.Builder clearCpuBudget()

Number of available logical threads.

int64 cpu_budget = 2;

Returns:

This builder for chaining.

getRamBudget

public long getRamBudget()

Amount of available memory in bytes.

int64 ram_budget = 3;

Specified by:

getRamBudget in interface Model.ModelProto.OptimizationParamsOrBuilder

Returns:

The ramBudget.

setRamBudget

public Model.ModelProto.OptimizationParams.Builder setRamBudget(long value)

Amount of available memory in bytes.

int64 ram_budget = 3;

Parameters:

value - The ramBudget to set.

Returns:

This builder for chaining.

clearRamBudget

public Model.ModelProto.OptimizationParams.Builder clearRamBudget()

Amount of available memory in bytes.

int64 ram_budget = 3;

Returns:

This builder for chaining.

getModelInputTime

public double getModelInputTime()

Time between two consecutive `GetNext` calls to the iterator represented
by the output node.

double model_input_time = 4;

Specified by:

getModelInputTime in interface Model.ModelProto.OptimizationParamsOrBuilder

Returns:

The modelInputTime.

setModelInputTime

public Model.ModelProto.OptimizationParams.Builder setModelInputTime(double value)

Time between two consecutive `GetNext` calls to the iterator represented
by the output node.

double model_input_time = 4;

Parameters:

value - The modelInputTime to set.

Returns:

This builder for chaining.

clearModelInputTime

public Model.ModelProto.OptimizationParams.Builder clearModelInputTime()

Time between two consecutive `GetNext` calls to the iterator represented
by the output node.

double model_input_time = 4;

Returns:

This builder for chaining.