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

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)
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()
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