RewriterConfig.Toggle

public static final enum RewriterConfig.Toggle

Protobuf enum tensorflow.RewriterConfig.Toggle

Constants

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

Inherited Methods

From class java.lang.Enum

final int	compareTo(RewriterConfig.Toggle arg0)
int	compareTo(Object arg0)
final boolean	equals(Object arg0)
final Class<RewriterConfig.Toggle>	getDeclaringClass()
final int	hashCode()
final String	name()
final int	ordinal()
String	toString()
static <T extends Enum<T>> T	valueOf(Class<T> arg0, String arg1)

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface java.lang.Comparable

abstract int

compareTo(RewriterConfig.Toggle arg0)

Enum Values

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

Constants

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;

Constant Value: 3

public static final int DEFAULT_VALUE

DEFAULT = 0;

Constant Value: 0

public static final int OFF_VALUE

OFF = 2;

Constant Value: 2

public static final int ON_VALUE

ON = 1;

Constant Value: 1