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RewriterConfig.Toggle

public static final enum RewriterConfig.Toggle

tensorflow.RewriterConfig.Toggle enum tensorflow.RewriterConfig.Toggle

Constantes

int	AGGRESSIVE_VALUE	Enable some aggressive optimizations that use assumptions that TF graphs may break.
int	VALOR PADRÃO	`DEFAULT = 0;`
int	OFF_VALUE	`OFF = 2;`
int	ON_VALUE	`ON = 1;`

Métodos herdados

Da classe java.lang.Enum

final int	compareTo ( RewriterConfig.Toggle arg0)
int	compareTo (Object arg0)
final booleano	igual a (objeto arg0)
classe final < RewriterConfig.Toggle >	getDeclaringClass ()
final int	hashCode ()
corda final	nome ()
final int	ordinal ()
Fragmento	toString ()
static <T extends Enum <T>> T	valueOf (Classe <T> arg0, String arg1)

Da classe java.lang.Object

boleano	igual a (objeto arg0)
aula final <?>	getClass ()
int	hashCode ()
vazio final	notificar ()
vazio final	notificar tudo ()
Fragmento	toString ()
vazio final	espera (long arg0, int arg1)
vazio final	espera (long arg0)
vazio final	espera ()

Da interface java.lang.Comparable

int abstrato

compareTo ( RewriterConfig.Toggle arg0)

Valores Enum

public static final RewriterConfig.Toggle AGGRESSIVE

 Enable some aggressive optimizations that use assumptions that TF graphs
 may break. For example, assume the shape of a placeholder matches its
 actual feed.

AGGRESSIVE = 3;

public static final RewriterConfig.Toggle DEFAULT

DEFAULT = 0;

public static final RewriterConfig.Toggle OFF

OFF = 2;

public static final RewriterConfig.Toggle ON

ON = 1;

public static final RewriterConfig.Toggle UNRECOGNIZED

Constantes

public static final int AGGRESSIVE_VALUE

 Enable some aggressive optimizations that use assumptions that TF graphs
 may break. For example, assume the shape of a placeholder matches its
 actual feed.

AGGRESSIVE = 3;

Valor Constante: 3

public static final int DEFAULT_VALUE

DEFAULT = 0;

Valor constante: 0

public static final int OFF_VALUE

OFF = 2;

Valor constante: 2

public static final int ON_VALUE

ON = 1;

Valor Constante: 1