SaverDef.CheckpointFormatVersion

enumeración final estática pública SaverDef.CheckpointFormatVersion

 A version number that identifies a different on-disk checkpoint format.
 Usually, each subclass of BaseSaverBuilder works with a particular
 version/format.  However, it is possible that the same builder may be
 upgraded to support a newer checkpoint format in the future.
 

Protobuf enumeración tensorflow.SaverDef.CheckpointFormatVersion

Constantes

En t	LEGACY_VALUE	Internal legacy format.
En t	V1_VALUE	Deprecated format: tf.Saver() which works with tensorflow::table::Table.
En t	V2_VALUE	Current format: more efficient.

Métodos heredados

De la clase java.lang.Enum

int final	compareTo ( SaverDef.CheckpointFormatVersion arg0)
En t	compareTo (Objeto arg0)
booleano final	es igual a (Objeto arg0)
final Class < SaverDef.CheckpointFormatVersion >	getDeclaringClass ()
int final	hashCode ()
cadena final	nombre ()
int final	ordinal ()
Cuerda	toString ()
estática <T extiende Enum <T>> T	valueOf (Clase <T> arg0, String arg1)

De la clase java.lang.Object

booleano	es igual a (Objeto arg0)
Clase final <?>	getClass ()
En t	hashCode ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cuerda	toString ()
vacío final	esperar (largo arg0, int arg1)
vacío final	espera (largo arg0)
vacío final	esperar ()

Desde la interfaz java.lang.Comparable

int abstracto

compareTo ( SaverDef.CheckpointFormatVersion arg0)

Valores de enumeración

public static final SaverDef.CheckpointFormatVersion LEGACY

 Internal legacy format.
 

LEGACY = 0;

public static final SaverDef.CheckpointFormatVersion UNRECOGNIZED

public static final SaverDef.CheckpointFormatVersion V1

 Deprecated format: tf.Saver() which works with tensorflow::table::Table.
 

V1 = 1;

public static final SaverDef.CheckpointFormatVersion V2

 Current format: more efficient.
 

V2 = 2;

Constantes

public static final int LEGACY_VALUE

 Internal legacy format.
 

LEGACY = 0;

Valor constante: 0

public static final int V1_VALUE

 Deprecated format: tf.Saver() which works with tensorflow::table::Table.
 

V1 = 1;

Valor constante: 1

public static final int V2_VALUE

 Current format: more efficient.
 

V2 = 2;

Valor constante: 2