RewriterConfig.MemOptType

enum akhir statis publik RewriterConfig.MemOptType

Protobuf termasuk tensorflow.RewriterConfig.MemOptType

Konstanta

ke dalam	DEFAULT_MEM_OPT_VALUE	The default setting (SCHEDULING and SWAPPING HEURISTICS only) DEFAULT_MEM_OPT = 0;
ke dalam	HEURISTICS_VALUE	Use any combination of swapping and recomputation heuristics.
ke dalam	MANUAL_VALUE	Driven by manual op-level annotations.
ke dalam	NO_MEM_OPT_VALUE	Disabled in the meta-optimizer.
ke dalam	RECOMPUTATION_HEURISTICS_VALUE	Recomputation heuristics will recompute ops (such as Relu activation) during backprop instead of storing them, reducing peak memory usage.
ke dalam	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.
ke dalam	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.

Metode Warisan

Dari kelas java.lang.Enum

int terakhir	bandingkanTo ( RewriterConfig.MemOptType arg0)
ke dalam	bandingkanTo (Objek arg0)
boolean terakhir	sama dengan (Objek arg0)
Kelas akhir< RewriterConfig.MemOptType >	dapatkanDeklarasiKelas ()
int terakhir	Kode hash ()
String terakhir	nama ()
int terakhir	ordinal ()
Rangkaian	keString ()
statis <T memperluas Enum<T>> T	valueOf (Kelas<T> arg0, String arg1)

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	memberitahu ()
kekosongan terakhir	beri tahuSemua ()
Rangkaian	keString ()
kekosongan terakhir	tunggu (arg0 panjang, int arg1)
kekosongan terakhir	tunggu (argumen panjang0)
kekosongan terakhir	Tunggu ()

Dari antarmuka java.lang.Comparable

abstrak ke dalam

bandingkanTo ( RewriterConfig.MemOptType arg0)

Nilai Enum

RewriterConfig.MemOptType DEFAULT_MEM_OPT final statis publik

 The default setting (SCHEDULING and SWAPPING HEURISTICS only)
 

DEFAULT_MEM_OPT = 0;

HEURISTICS RewriterConfig.MemOptType final statis publik

 Use any combination of swapping and recomputation heuristics.
 

HEURISTICS = 3;

MANUAL RewriterConfig.MemOptType final publik statis

 Driven by manual op-level annotations.
 

MANUAL = 2;

RewriterConfig.MemOptType NO_MEM_OPT final statis publik

 Disabled in the meta-optimizer.
 

NO_MEM_OPT = 1;

RewriterConfig.MemOptType RECOMPUTATION_HEURISTICS final statis publik

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

RECOMPUTATION_HEURISTICS = 5;

RewriterConfig.MemOptType SCHEDULING_HEURISTICS final statis publik

 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 = 6;

RewriterConfig.MemOptType SWAPPING_HEURISTICS final statis publik

 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;

RewriterConfig.MemOptType final statis publik TIDAK DIAKUI

Konstanta

int final statis publik DEFAULT_MEM_OPT_VALUE

 The default setting (SCHEDULING and SWAPPING HEURISTICS only)
 

DEFAULT_MEM_OPT = 0;

Nilai Konstan: 0

int akhir statis publik HEURISTICS_VALUE

 Use any combination of swapping and recomputation heuristics.
 

HEURISTICS = 3;

Nilai Konstan: 3

int akhir statis publik MANUAL_VALUE

 Driven by manual op-level annotations.
 

MANUAL = 2;

Nilai Konstan: 2

int akhir statis publik NO_MEM_OPT_VALUE

 Disabled in the meta-optimizer.
 

NO_MEM_OPT = 1;

Nilai Konstan: 1

int akhir statis publik 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;

Nilai Konstan: 5

int akhir statis publik 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 = 6;

Nilai Konstan: 6

int akhir statis publik 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;

Nilai Konstan: 4