Class Model.ModelProto.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

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

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

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

All Implemented Interfaces:

Message.Builder, MessageLite.Builder, MessageLiteOrBuilder, MessageOrBuilder, Cloneable, Model.ModelProtoOrBuilder

Enclosing class:

Model.ModelProto

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

Protocol buffer representing the data used by the autotuning modeling
framework.

Protobuf type tensorflow.data.model.ModelProto

Method Summary

Modifier and Type	Method	Description
Model.ModelProto.Builder	addAllGapTimes(Iterable<? extends Long> values)	repeated uint64 gap_times = 6;
Model.ModelProto.Builder	addGapTimes(long value)	repeated uint64 gap_times = 6;
Model.ModelProto	build()
Model.ModelProto	buildPartial()
Model.ModelProto.Builder	clear()
Model.ModelProto.Builder	clearDatasetName()	User-defined name for the dataset.
Model.ModelProto.Builder	clearGapTimes()	repeated uint64 gap_times = 6;
Model.ModelProto.Builder	clearIdCounter()	Counter for node IDs of this model.
Model.ModelProto.Builder	clearNodes()
Model.ModelProto.Builder	clearOptimizationParams()	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
Model.ModelProto.Builder	clearOutput()	ID of the output node of this model.
boolean	containsNodes(long key)	Map of node IDs to nodes of this model.
String	getDatasetName()	User-defined name for the dataset.
ByteString	getDatasetNameBytes()	User-defined name for the dataset.
Model.ModelProto	getDefaultInstanceForType()
static final Descriptors.Descriptor	getDescriptor()
Descriptors.Descriptor	getDescriptorForType()
long	getGapTimes(int index)	repeated uint64 gap_times = 6;
int	getGapTimesCount()	repeated uint64 gap_times = 6;
List<Long>	getGapTimesList()	repeated uint64 gap_times = 6;
long	getIdCounter()	Counter for node IDs of this model.
Map<Long, Model.ModelProto.Node>	getMutableNodes()	Deprecated.
Map<Long, Model.ModelProto.Node>	getNodes()	Deprecated.
int	getNodesCount()	Map of node IDs to nodes of this model.
Map<Long, Model.ModelProto.Node>	getNodesMap()	Map of node IDs to nodes of this model.
Model.ModelProto.Node	getNodesOrDefault(long key, Model.ModelProto.Node defaultValue)	Map of node IDs to nodes of this model.
Model.ModelProto.Node	getNodesOrThrow(long key)	Map of node IDs to nodes of this model.
Model.ModelProto.OptimizationParams	getOptimizationParams()	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
Model.ModelProto.OptimizationParams.Builder	getOptimizationParamsBuilder()	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
Model.ModelProto.OptimizationParamsOrBuilder	getOptimizationParamsOrBuilder()	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
long	getOutput()	ID of the output node of this model.
boolean	hasOptimizationParams()	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
protected GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
protected MapFieldReflectionAccessor	internalGetMapFieldReflection(int number)
protected MapFieldReflectionAccessor	internalGetMutableMapFieldReflection(int number)
final boolean	isInitialized()
Model.ModelProto.Builder	mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Model.ModelProto.Builder	mergeFrom(Message other)
Model.ModelProto.Builder	mergeFrom(Model.ModelProto other)
Model.ModelProto.Builder	mergeOptimizationParams(Model.ModelProto.OptimizationParams value)	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
Model.ModelProto.Builder	putAllNodes(Map<Long, Model.ModelProto.Node> values)	Map of node IDs to nodes of this model.
Model.ModelProto.Builder	putNodes(long key, Model.ModelProto.Node value)	Map of node IDs to nodes of this model.
Model.ModelProto.Node.Builder	putNodesBuilderIfAbsent(long key)	Map of node IDs to nodes of this model.
Model.ModelProto.Builder	removeNodes(long key)	Map of node IDs to nodes of this model.
Model.ModelProto.Builder	setDatasetName(String value)	User-defined name for the dataset.
Model.ModelProto.Builder	setDatasetNameBytes(ByteString value)	User-defined name for the dataset.
Model.ModelProto.Builder	setGapTimes(int index, long value)	repeated uint64 gap_times = 6;
Model.ModelProto.Builder	setIdCounter(long value)	Counter for node IDs of this model.
Model.ModelProto.Builder	setOptimizationParams(Model.ModelProto.OptimizationParams value)	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
Model.ModelProto.Builder	setOptimizationParams(Model.ModelProto.OptimizationParams.Builder builderForValue)	.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
Model.ModelProto.Builder	setOutput(long value)	ID of the output node of this model.

Methods inherited from class GeneratedMessage.Builder

addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, 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()

internalGetMapFieldReflection

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)

Overrides:

internalGetMapFieldReflection in class GeneratedMessage.Builder<Model.ModelProto.Builder>

internalGetMutableMapFieldReflection

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)

Overrides:

internalGetMutableMapFieldReflection in class GeneratedMessage.Builder<Model.ModelProto.Builder>

internalGetFieldAccessorTable

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

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

clear

public Model.ModelProto.Builder clear()

Specified by:

clear in interface Message.Builder

Specified by:

clear in interface MessageLite.Builder

Overrides:

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

getDefaultInstanceForType

public Model.ModelProto getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface MessageOrBuilder

build

public Model.ModelProto build()

Specified by:

build in interface Message.Builder

Specified by:

build in interface MessageLite.Builder

buildPartial

public Model.ModelProto buildPartial()

Specified by:

buildPartial in interface Message.Builder

Specified by:

buildPartial in interface MessageLite.Builder

mergeFrom

public Model.ModelProto.Builder mergeFrom(Message other)

Specified by:

mergeFrom in interface Message.Builder

Overrides:

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

mergeFrom

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

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface MessageLiteOrBuilder

Overrides:

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

mergeFrom

public Model.ModelProto.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.Builder>

Throws:

IOException

getDatasetName

public String getDatasetName()

User-defined name for the dataset. Empty if no name was set.

string dataset_name = 7;

Specified by:

getDatasetName in interface Model.ModelProtoOrBuilder

Returns:

The datasetName.

getDatasetNameBytes

public ByteString getDatasetNameBytes()

User-defined name for the dataset. Empty if no name was set.

string dataset_name = 7;

Specified by:

getDatasetNameBytes in interface Model.ModelProtoOrBuilder

Returns:

The bytes for datasetName.

setDatasetName

public Model.ModelProto.Builder setDatasetName(String value)

User-defined name for the dataset. Empty if no name was set.

string dataset_name = 7;

Parameters:

value - The datasetName to set.

Returns:

This builder for chaining.

clearDatasetName

public Model.ModelProto.Builder clearDatasetName()

User-defined name for the dataset. Empty if no name was set.

string dataset_name = 7;

Returns:

This builder for chaining.

setDatasetNameBytes

public Model.ModelProto.Builder setDatasetNameBytes(ByteString value)

User-defined name for the dataset. Empty if no name was set.

string dataset_name = 7;

Parameters:

value - The bytes for datasetName to set.

Returns:

This builder for chaining.

getNodesCount

public int getNodesCount()

Description copied from interface: Model.ModelProtoOrBuilder

Map of node IDs to nodes of this model.

map<int64, .tensorflow.data.model.ModelProto.Node> nodes = 1;

Specified by:

getNodesCount in interface Model.ModelProtoOrBuilder

containsNodes

public boolean containsNodes(long key)

Map of node IDs to nodes of this model.

map<int64, .tensorflow.data.model.ModelProto.Node> nodes = 1;

Specified by:

containsNodes in interface Model.ModelProtoOrBuilder

getNodes

@Deprecated
public Map<Long, Model.ModelProto.Node> getNodes()

Deprecated.

Use getNodesMap() instead.

Specified by:

getNodes in interface Model.ModelProtoOrBuilder

getNodesMap

public Map<Long, Model.ModelProto.Node> getNodesMap()

Map of node IDs to nodes of this model.

map<int64, .tensorflow.data.model.ModelProto.Node> nodes = 1;

Specified by:

getNodesMap in interface Model.ModelProtoOrBuilder

getNodesOrDefault

public Model.ModelProto.Node getNodesOrDefault(long key,
 Model.ModelProto.Node defaultValue)

Map of node IDs to nodes of this model.

map<int64, .tensorflow.data.model.ModelProto.Node> nodes = 1;

Specified by:

getNodesOrDefault in interface Model.ModelProtoOrBuilder

getNodesOrThrow

public Model.ModelProto.Node getNodesOrThrow(long key)

Map of node IDs to nodes of this model.

map<int64, .tensorflow.data.model.ModelProto.Node> nodes = 1;

Specified by:

getNodesOrThrow in interface Model.ModelProtoOrBuilder

clearNodes

public Model.ModelProto.Builder clearNodes()

removeNodes

public Model.ModelProto.Builder removeNodes(long key)

Map of node IDs to nodes of this model.

map<int64, .tensorflow.data.model.ModelProto.Node> nodes = 1;

getMutableNodes

@Deprecated
public Map<Long, Model.ModelProto.Node> getMutableNodes()

Deprecated.

Use alternate mutation accessors instead.

putNodes

public Model.ModelProto.Builder putNodes(long key,
 Model.ModelProto.Node value)

Map of node IDs to nodes of this model.

map<int64, .tensorflow.data.model.ModelProto.Node> nodes = 1;

putAllNodes

public Model.ModelProto.Builder putAllNodes(Map<Long, Model.ModelProto.Node> values)

Map of node IDs to nodes of this model.

map<int64, .tensorflow.data.model.ModelProto.Node> nodes = 1;

putNodesBuilderIfAbsent

public Model.ModelProto.Node.Builder putNodesBuilderIfAbsent(long key)

Map of node IDs to nodes of this model.

map<int64, .tensorflow.data.model.ModelProto.Node> nodes = 1;

getOutput

public long getOutput()

ID of the output node of this model.

int64 output = 2;

Specified by:

getOutput in interface Model.ModelProtoOrBuilder

Returns:

The output.

setOutput

public Model.ModelProto.Builder setOutput(long value)

ID of the output node of this model.

int64 output = 2;

Parameters:

value - The output to set.

Returns:

This builder for chaining.

clearOutput

public Model.ModelProto.Builder clearOutput()

ID of the output node of this model.

int64 output = 2;

Returns:

This builder for chaining.

getIdCounter

public long getIdCounter()

Counter for node IDs of this model.

int64 id_counter = 3;

Specified by:

getIdCounter in interface Model.ModelProtoOrBuilder

Returns:

The idCounter.

setIdCounter

public Model.ModelProto.Builder setIdCounter(long value)

Counter for node IDs of this model.

int64 id_counter = 3;

Parameters:

value - The idCounter to set.

Returns:

This builder for chaining.

clearIdCounter

public Model.ModelProto.Builder clearIdCounter()

Counter for node IDs of this model.

int64 id_counter = 3;

Returns:

This builder for chaining.

hasOptimizationParams

public boolean hasOptimizationParams()

.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;

Specified by:

hasOptimizationParams in interface Model.ModelProtoOrBuilder

Returns:

Whether the optimizationParams field is set.

getOptimizationParams

public Model.ModelProto.OptimizationParams getOptimizationParams()

.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;

Specified by:

getOptimizationParams in interface Model.ModelProtoOrBuilder

Returns:

The optimizationParams.

setOptimizationParams

public Model.ModelProto.Builder setOptimizationParams(Model.ModelProto.OptimizationParams value)

.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;

setOptimizationParams

public Model.ModelProto.Builder setOptimizationParams(Model.ModelProto.OptimizationParams.Builder builderForValue)

.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;

mergeOptimizationParams

public Model.ModelProto.Builder mergeOptimizationParams(Model.ModelProto.OptimizationParams value)

.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;

clearOptimizationParams

public Model.ModelProto.Builder clearOptimizationParams()

.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;

getOptimizationParamsBuilder

public Model.ModelProto.OptimizationParams.Builder getOptimizationParamsBuilder()

.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;

getOptimizationParamsOrBuilder

public Model.ModelProto.OptimizationParamsOrBuilder getOptimizationParamsOrBuilder()

.tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;

Specified by:

getOptimizationParamsOrBuilder in interface Model.ModelProtoOrBuilder

getGapTimesList

public List<Long> getGapTimesList()

repeated uint64 gap_times = 6;

Specified by:

getGapTimesList in interface Model.ModelProtoOrBuilder

Returns:

A list containing the gapTimes.

getGapTimesCount

public int getGapTimesCount()

repeated uint64 gap_times = 6;

Specified by:

getGapTimesCount in interface Model.ModelProtoOrBuilder

Returns:

The count of gapTimes.

getGapTimes

public long getGapTimes(int index)

repeated uint64 gap_times = 6;

Specified by:

getGapTimes in interface Model.ModelProtoOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The gapTimes at the given index.

setGapTimes

public Model.ModelProto.Builder setGapTimes(int index,
 long value)

repeated uint64 gap_times = 6;

Parameters:

index - The index to set the value at.

value - The gapTimes to set.

Returns:

This builder for chaining.

addGapTimes

public Model.ModelProto.Builder addGapTimes(long value)

repeated uint64 gap_times = 6;

Parameters:

value - The gapTimes to add.

Returns:

This builder for chaining.

addAllGapTimes

public Model.ModelProto.Builder addAllGapTimes(Iterable<? extends Long> values)

repeated uint64 gap_times = 6;

Parameters:

values - The gapTimes to add.

Returns:

This builder for chaining.

clearGapTimes

public Model.ModelProto.Builder clearGapTimes()

repeated uint64 gap_times = 6;

Returns:

This builder for chaining.