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RewriterConfig.MemOptType

enumeración final estática pública RewriterConfig.MemOptType

Protobuf enumeración tensorflow.RewriterConfig.MemOptType

Constantes

En t	DEFAULT_MEM_OPT_VALUE	The default setting (SCHEDULING and SWAPPING HEURISTICS only) `DEFAULT_MEM_OPT = 0;`
En t	HEURISTICS_VALUE	Use any combination of swapping and recomputation heuristics.
En t	VALOR_MANUAL	Driven by manual op-level annotations.
En t	NO_MEM_OPT_VALUE	Disabled in the meta-optimizer.
En t	RECOMPUTATION_HEURISTICS_VALUE	Recomputation heuristics will recompute ops (such as Relu activation) during backprop instead of storing them, reducing peak memory usage.
En t	SCHEDULING_HEURISTICS_VALUE	Scheduling will split big ops such as AddN and try to enforce a schedule of the new computations that decreases peak memory usage.
En t	SWAPPING_HEURISTICS_VALUE	Swapping heuristic will move a tensor from the GPU to the CPU and move it back when needed to reduce peak memory usage.

Métodos heredados

De la clase java.lang.Enum

int final	compareTo ( RewriterConfig.MemOptType arg0)
En t	compareTo (Objeto arg0)
booleano final	es igual a (Objeto arg0)
Clase final < RewriterConfig.MemOptType >	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 ( RewriterConfig.MemOptType arg0)

Valores de enumeración

public static final RewriterConfig.MemOptType DEFAULT_MEM_OPT

 The default setting (SCHEDULING and SWAPPING HEURISTICS only)

DEFAULT_MEM_OPT = 0;

public static final RewriterConfig.MemOptType HEURISTICS

 Use any combination of swapping and recomputation heuristics.

HEURISTICS = 3;

public static final RewriterConfig.MemOptType MANUAL

 Driven by manual op-level annotations.

MANUAL = 2;

public static final RewriterConfig.MemOptType NO_MEM_OPT

 Disabled in the meta-optimizer.

NO_MEM_OPT = 1;

public static final RewriterConfig.MemOptType RECOMPUTATION_HEURISTICS

 Recomputation heuristics will recompute ops (such as Relu activation)
 during backprop instead of storing them, reducing peak memory usage.

RECOMPUTATION_HEURISTICS = 5;

public static final RewriterConfig.MemOptType SCHEDULING_HEURISTICS

 Scheduling will split big ops such as AddN and try to enforce a schedule
 of the new computations that decreases peak memory usage.

SCHEDULING_HEURISTICS SCHEDULING_HEURISTICS = 6;

public static final RewriterConfig.MemOptType SWAPPING_HEURISTICS

 Swapping heuristic will move a tensor from the GPU to the CPU and move
 it back when needed to reduce peak memory usage.

SWAPPING_HEURISTICS = 4;

public static final RewriterConfig.MemOptType UNRECOGNIZED

Constantes

public static final int DEFAULT_MEM_OPT_VALUE

 The default setting (SCHEDULING and SWAPPING HEURISTICS only)

DEFAULT_MEM_OPT = 0;

Valor constante: 0

public static final int HEURISTICS_VALUE

 Use any combination of swapping and recomputation heuristics.

HEURISTICS = 3;

Valor constante: 3

public static final int MANUAL_VALUE

 Driven by manual op-level annotations.

MANUAL = 2;

Valor constante: 2

public static final int NO_MEM_OPT_VALUE

 Disabled in the meta-optimizer.

NO_MEM_OPT = 1;

Valor constante: 1

public static final int RECOMPUTATION_HEURISTICS_VALUE

 Recomputation heuristics will recompute ops (such as Relu activation)
 during backprop instead of storing them, reducing peak memory usage.

RECOMPUTATION_HEURISTICS = 5;

Valor constante: 5

public static final int SCHEDULING_HEURISTICS_VALUE

 Scheduling will split big ops such as AddN and try to enforce a schedule
 of the new computations that decreases peak memory usage.

SCHEDULING_HEURISTICS SCHEDULING_HEURISTICS = 6;

Valor constante: 6

public static final int SWAPPING_HEURISTICS_VALUE

 Swapping heuristic will move a tensor from the GPU to the CPU and move
 it back when needed to reduce peak memory usage.

SWAPPING_HEURISTICS = 4;

Valor constante: 4