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

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

int final estático público 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 de 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