SavedVariable

classe finale publique SavedVariable

 Represents a Variable that is initialized by loading the contents from the
 checkpoint.
 

tensorflow.SavedVariable de type Protobuf.SavedVariable

Classes imbriquées

classe

VariableEnregistrée.Builder

Represents a Variable that is initialized by loading the contents from the checkpoint.

Constantes

int	AGGREGATION_FIELD_NUMBER
int	DEVICE_FIELD_NUMBER
int	DTYPE_FIELD_NUMBER
int	EXPERIMENTAL_DISTRIBUTED_VARIABLE_COMPONENTS_FIELD_NUMBER
int	NAME_FIELD_NUMBER
int	SHAPE_FIELD_NUMBER
int	SYNCHRONIZATION_FIELD_NUMBER
int	TRAINABLE_FIELD_NUMBER

Méthodes publiques

booléen	est égal (Obj objet)
Agrégation de variables	getAgrégation () .tensorflow.VariableAggregation aggregation = 5;
int	getAggregationValue () .tensorflow.VariableAggregation aggregation = 5;
Variable enregistrée statique	getDefaultInstance ()
Variable enregistrée	getDefaultInstanceForType ()
final statique com.google.protobuf.Descriptors.Descriptor	getDescripteur ()
Chaîne	getDevice () string device = 7;
com.google.protobuf.ByteString	getDeviceBytes () string device = 7;
Type de données	getDtype () .tensorflow.DataType dtype = 1;
int	getDtypeValue () .tensorflow.DataType dtype = 1;
Variable enregistrée	getExperimentalDistributedVariableComponents (index int) List of component variables for a distributed variable.
int	getExperimentalDistributedVariableComponentsCount () List of component variables for a distributed variable.
Liste< VariableEnregistrée >	getExperimentalDistributedVariableComponentsList () List of component variables for a distributed variable.
VariableEnregistréeOuBuilder	getExperimentalDistributedVariableComponentsOrBuilder (index int) List of component variables for a distributed variable.
Liste<? étend SavedVariableOrBuilder >	getExperimentalDistributedVariableComponentsOrBuilderList () List of component variables for a distributed variable.
Chaîne	obtenirNom () string name = 6;
com.google.protobuf.ByteString	getNameBytes () string name = 6;
	getParserForType ()
int	getSerializedSize ()
TensorShapeProto	obtenirForme () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
Synchronisation des variables	getSynchronisation () .tensorflow.VariableSynchronization synchronization = 4;
int	getSynchronizationValue () .tensorflow.VariableSynchronization synchronization = 4;
booléen	obtenirTrainable () bool trainable = 3;
final com.google.protobuf.UnknownFieldSet	getUnknownFields ()
booléen	aForme () .tensorflow.TensorShapeProto shape = 2;
int	Code de hachage ()
booléen final	estInitialisé ()
statique SavedVariable.Builder	newBuilder (prototype SavedVariable )
statique SavedVariable.Builder	nouveauBuilder ()
VariableEnregistrée.Builder	nouveauBuilderForType ()
Variable enregistrée statique	parseDelimitedFrom (entrée InputStream)
Variable enregistrée statique	parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variable enregistrée statique	parseFrom (données ByteBuffer)
Variable enregistrée statique	parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variable enregistrée statique	parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variable enregistrée statique	parseFrom (entrée com.google.protobuf.CodedInputStream)
Variable enregistrée statique	parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variable enregistrée statique	parseFrom (données com.google.protobuf.ByteString)
Variable enregistrée statique	parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variable enregistrée statique	parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statique	analyseur ()
VariableEnregistrée.Builder	toBuilder ()
vide	writeTo (sortie com.google.protobuf.CodedOutputStream)

Méthodes héritées

De la classe java.lang.Object

booléen	est égal à (Objet arg0)
Classe finale<?>	obtenirClasse ()
int	Code de hachage ()
vide final	notifier ()
vide final	notifierTous ()
Chaîne	àChaîne ()
vide final	attendre (long arg0, int arg1)
vide final	attendez (long arg0)
vide final	attendez ()

Depuis l'interface org.tensorflow.proto.framework.SavedVariableOrBuilder

agrégation de variables abstraite	getAgrégation () .tensorflow.VariableAggregation aggregation = 5;
entier abstrait	getAggregationValue () .tensorflow.VariableAggregation aggregation = 5;
Chaîne abstraite	getDevice () string device = 7;
résumé com.google.protobuf.ByteString	getDeviceBytes () string device = 7;
Type de données abstrait	getDtype () .tensorflow.DataType dtype = 1;
entier abstrait	getDtypeValue () .tensorflow.DataType dtype = 1;
résumé SavedVariable	getExperimentalDistributedVariableComponents (index int) List of component variables for a distributed variable.
entier abstrait	getExperimentalDistributedVariableComponentsCount () List of component variables for a distributed variable.
Liste abstraite < SavedVariable >	getExperimentalDistributedVariableComponentsList () List of component variables for a distributed variable.
résumé SavedVariableOrBuilder	getExperimentalDistributedVariableComponentsOrBuilder (index int) List of component variables for a distributed variable.
Liste abstraite <? étend SavedVariableOrBuilder >	getExperimentalDistributedVariableComponentsOrBuilderList () List of component variables for a distributed variable.
Chaîne abstraite	obtenirNom () string name = 6;
résumé com.google.protobuf.ByteString	getNameBytes () string name = 6;
TensorShapeProto abstrait	obtenirForme () .tensorflow.TensorShapeProto shape = 2;
abstrait TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
synchronisation variable abstraite	getSynchronisation () .tensorflow.VariableSynchronization synchronization = 4;
entier abstrait	getSynchronizationValue () .tensorflow.VariableSynchronization synchronization = 4;
booléen abstrait	obtenirTrainable () bool trainable = 3;
booléen abstrait	aForme () .tensorflow.TensorShapeProto shape = 2;

Constantes

public statique final int AGGREGATION_FIELD_NUMBER

Valeur constante : 5

public statique final int DEVICE_FIELD_NUMBER

Valeur constante : 7

public statique final int DTYPE_FIELD_NUMBER

Valeur constante : 1

public statique final int EXPERIMENTAL_DISTRIBUTED_VARIABLE_COMPONENTS_FIELD_NUMBER

Valeur constante : 8

public statique final entier NAME_FIELD_NUMBER

Valeur constante : 6

public statique final entier SHAPE_FIELD_NUMBER

Valeur constante : 2

public statique final int SYNCHRONIZATION_FIELD_NUMBER

Valeur constante : 4

public statique final int TRAINABLE_FIELD_NUMBER

Valeur constante : 3

Méthodes publiques

public booléen égal (Objet obj)

public VariableAggregation getAggregation ()

.tensorflow.VariableAggregation aggregation = 5;

public int getAggregationValue ()

.tensorflow.VariableAggregation aggregation = 5;

public statique SavedVariable getDefaultInstance ()

public SavedVariable getDefaultInstanceForType ()

public statique final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

chaîne publique getDevice ()

string device = 7;

public com.google.protobuf.ByteString getDeviceBytes ()

string device = 7;

Type de données public getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public SavedVariable getExperimentalDistributedVariableComponents (index int)

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

public int getExperimentalDistributedVariableComponentsCount ()

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

liste publique < SavedVariable > getExperimentalDistributedVariableComponentsList ()

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

public SavedVariableOrBuilder getExperimentalDistributedVariableComponentsOrBuilder (index int)

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

Liste publique <? étend SavedVariableOrBuilder > getExperimentalDistributedVariableComponentsOrBuilderList ()

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

chaîne publique getName ()

string name = 6;

public com.google.protobuf.ByteString getNameBytes ()

string name = 6;

publique getParserForType ()

public int getSerializedSize ()

public TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

public TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public VariableSynchronization getSynchronization ()

.tensorflow.VariableSynchronization synchronization = 4;

public int getSynchronizationValue ()

.tensorflow.VariableSynchronization synchronization = 4;

public booléen getTrainable ()

bool trainable = 3;

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public booléen hasShape ()

.tensorflow.TensorShapeProto shape = 2;

code de hachage int public ()

public final booléen isInitialized ()

public statique SavedVariable.Builder newBuilder (prototype SavedVariable )

public statique SavedVariable.Builder newBuilder ()

public SavedVariable.Builder newBuilderForType ()

public static SavedVariable parseDelimitedFrom (entrée InputStream)

Jetés

IOException

public static SavedVariable parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

IOException

public static SavedVariable parseFrom (données ByteBuffer)

Jetés

InvalidProtocolBufferException

public static SavedVariable parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

IOException

public static SavedVariable parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

InvalidProtocolBufferException

public static SavedVariable parseFrom (entrée com.google.protobuf.CodedInputStream)

Jetés

IOException

public static SavedVariable parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

InvalidProtocolBufferException

public statique SavedVariable parseFrom (données com.google.protobuf.ByteString)

Jetés

InvalidProtocolBufferException

public static SavedVariable parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

IOException

public static SavedVariable parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés

InvalidProtocolBufferException

public statique analyseur ()

public SavedVariable.Builder toBuilder ()

public void writeTo (sortie com.google.protobuf.CodedOutputStream)

Jetés

IOException