SavedVariable

clase final pública SavedVariable

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

tensorflow.SavedVariable tipo Protobuf.SavedVariable

Clases anidadas

clase

Variable guardada.Constructor

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

Constantes

entero	AGGREGATION_FIELD_NUMBER
entero	DEVICE_FIELD_NUMBER
entero	DTYPE_FIELD_NUMBER
entero	EXPERIMENTAL_DISTRIBUTED_VARIABLE_COMPONENTS_FIELD_NUMBER
entero	NOMBRE_CAMPO_NÚMERO
entero	SHAPE_FIELD_NUMBER
entero	SINCHRONIZACIÓN_CAMPO_NÚMERO
entero	TRAINABLE_FIELD_NUMBER

Métodos públicos

booleano	es igual (Objeto obj)
Agregación de variables	obtenerAgregación () .tensorflow.VariableAggregation aggregation = 5;
entero	obtenerValorAgregación () .tensorflow.VariableAggregation aggregation = 5;
Variable guardada estática	getDefaultInstancia ()
Variable guardada	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
Cadena	obtener dispositivo () string device = 7;
com.google.protobuf.ByteString	obtenerDeviceBytes () string device = 7;
Tipo de datos	obtener tipo D () .tensorflow.DataType dtype = 1;
entero	getDtypeValue () .tensorflow.DataType dtype = 1;
Variable guardada	getExperimentalDistributedVariableComponents (índice int) List of component variables for a distributed variable.
entero	getExperimentalDistributedVariableComponentsCount () List of component variables for a distributed variable.
Lista< Variable guardada >	getExperimentalDistributedVariableComponentsList () List of component variables for a distributed variable.
Variable guardada o constructor	getExperimentalDistributedVariableComponentsOrBuilder (índice int) List of component variables for a distributed variable.
Lista<? extiende SavedVariableOrBuilder >	getExperimentalDistributedVariableComponentsOrBuilderList () List of component variables for a distributed variable.
Cadena	obtenerNombre () string name = 6;
com.google.protobuf.ByteString	getNombreBytes () string name = 6;
	getParserForType ()
entero	getSerializedSize ()
TensorShapeProto	obtener forma () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
Sincronización de variables	obtener sincronización () .tensorflow.VariableSynchronization synchronization = 4;
entero	getSynchronizationValue () .tensorflow.VariableSynchronization synchronization = 4;
booleano	obtener entrenable () bool trainable = 3;
com.google.protobuf.UnknownFieldSet final	obtener campos desconocidos ()
booleano	tiene forma () .tensorflow.TensorShapeProto shape = 2;
entero	código hash ()
booleano final	está inicializado ()
Variable guardada estática.Builder	newBuilder (prototipo de variable guardada )
Variable guardada estática.Builder	nuevoConstructor ()
Variable guardada.Constructor	nuevoBuilderForType ()
Variable guardada estática	parseDelimitedFrom (entrada de InputStream)
Variable guardada estática	parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variable guardada estática	parseFrom (datos de ByteBuffer)
Variable guardada estática	parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
Variable guardada estática	parseFrom (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variable guardada estática	parseFrom (entrada com.google.protobuf.CodedInputStream)
Variable guardada estática	parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variable guardada estática	parseFrom (datos com.google.protobuf.ByteString)
Variable guardada estática	parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variable guardada estática	parseFrom (com.google.protobuf.ByteString datos, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
estático	analizador ()
Variable guardada.Constructor	al constructor ()
vacío	writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

De la clase java.lang.Object

booleano	es igual (Objeto arg0)
Clase final<?>	obtenerclase ()
entero	código hash ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cadena	a cadena ()
vacío final	esperar (arg0 largo, int arg1)
vacío final	espera (arg0 largo)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.SavedVariableOrBuilder

agregación de variables abstracta	obtenerAgregación () .tensorflow.VariableAggregation aggregation = 5;
resumen entero	obtenerValorAgregación () .tensorflow.VariableAggregation aggregation = 5;
cadena abstracta	obtener dispositivo () string device = 7;
resumen com.google.protobuf.ByteString	obtenerDeviceBytes () string device = 7;
tipo de datos abstracto	obtener tipo D () .tensorflow.DataType dtype = 1;
resumen entero	getDtypeValue () .tensorflow.DataType dtype = 1;
variable guardada abstracta	getExperimentalDistributedVariableComponents (índice int) List of component variables for a distributed variable.
resumen entero	getExperimentalDistributedVariableComponentsCount () List of component variables for a distributed variable.
Lista abstracta< Variable guardada >	getExperimentalDistributedVariableComponentsList () List of component variables for a distributed variable.
resumen SavedVariableOrBuilder	getExperimentalDistributedVariableComponentsOrBuilder (índice int) List of component variables for a distributed variable.
Lista abstracta<? extiende SavedVariableOrBuilder >	getExperimentalDistributedVariableComponentsOrBuilderList () List of component variables for a distributed variable.
cadena abstracta	obtenerNombre () string name = 6;
resumen com.google.protobuf.ByteString	getNombreBytes () string name = 6;
resumen TensorShapeProto	obtener forma () .tensorflow.TensorShapeProto shape = 2;
abstracto TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
sincronización de variables abstractas	obtener sincronización () .tensorflow.VariableSynchronization synchronization = 4;
resumen entero	getSynchronizationValue () .tensorflow.VariableSynchronization synchronization = 4;
booleano abstracto	obtener entrenable () bool trainable = 3;
booleano abstracto	tiene forma () .tensorflow.TensorShapeProto shape = 2;

Constantes

int final estático público AGGREGATION_FIELD_NUMBER

Valor constante: 5

int final estático público DEVICE_FIELD_NUMBER

Valor constante: 7

int final estático público DTYPE_FIELD_NUMBER

Valor constante: 1

público estático final int EXPERIMENTAL_DISTRIBUTED_VARIABLE_COMPONENTS_FIELD_NUMBER

Valor constante: 8

público estático final int NAME_FIELD_NUMBER

Valor constante: 6

int final estático público SHAPE_FIELD_NUMBER

Valor constante: 2

int final estático público SYNCHRONIZATION_FIELD_NUMBER

Valor constante: 4

int final estático público TRAINABLE_FIELD_NUMBER

Valor constante: 3

Métodos públicos

público booleano es igual (Objeto obj)

agregación de variables pública getAggregation ()

.tensorflow.VariableAggregation aggregation = 5;

público int getAggregationValue ()

.tensorflow.VariableAggregation aggregation = 5;

variable guardada estática pública getDefaultInstance ()

variable guardada pública getDefaultInstanceForType ()

público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

cadena pública getDevice ()

string device = 7;

público com.google.protobuf.ByteString getDeviceBytes ()

string device = 7;

tipo de datos público getDtype ()

.tensorflow.DataType dtype = 1;

público int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public SavedVariable getExperimentalDistributedVariableComponents (índice 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;

Lista pública< Variable guardada > 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;

público SavedVariableOrBuilder getExperimentalDistributedVariableComponentsOrBuilder (índice 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;

Lista pública<? extiende 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;

cadena pública getName ()

string name = 6;

público com.google.protobuf.ByteString getNameBytes ()

string name = 6;

público getParserForType ()

público int getSerializedSize ()

público TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

público TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

sincronización de variables públicas getSynchronization ()

.tensorflow.VariableSynchronization synchronization = 4;

público int getSynchronizationValue ()

.tensorflow.VariableSynchronization synchronization = 4;

getTrainable público booleano ()

bool trainable = 3;

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

hasShape booleano público ()

.tensorflow.TensorShapeProto shape = 2;

código hash int público ()

público final booleano isInitialized ()

pública estática SavedVariable.Builder newBuilder (prototipo SavedVariable )

public static SavedVariable.Builder newBuilder ()

public SavedVariable.Builder newBuilderForType ()

parseDelimitedFrom (entrada de InputStream) estática pública SavedVariable

Lanza

IOExcepción

pública estática SavedVariable parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

análisis público estático de variable guardada desde (datos de ByteBuffer)

Lanza

Excepción de buffer de protocolo no válido

ParseFrom público estático SavedVariable (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza

IOExcepción

análisis público estático de la variable guardada (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

ParseFrom público estático SavedVariable (entrada com.google.protobuf.CodedInputStream)

Lanza

IOExcepción

análisis público estático de variable guardada desde (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

ParseFrom público estático SavedVariable (datos com.google.protobuf.ByteString)

Lanza

Excepción de buffer de protocolo no válido

parseFrom público estático de SavedVariable (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

IOExcepción

ParseFrom público estático de SavedVariable (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza

Excepción de buffer de protocolo no válido

estática pública analizador ()

public SavedVariable.Builder toBuilder ()

escritura vacía pública (salida de com.google.protobuf.CodedOutputStream)

Lanza

IOExcepción