VariableAggregation

VariableAggregation enum akhir publik

 Indicates how a distributed variable will be aggregated.
 

Protobuf enum tensorflow.VariableAggregation

Konstanta

ke dalam	VARIABLE_AGGREGATION_MEAN_VALUE	`MEAN`: Take the arithmetic mean ("average") of the updates across replicas.
ke dalam	VARIABLE_AGGREGATION_NONE_VALUE	`NONE`: This is the default, giving an error if you use a variable-update operation with multiple replicas.
ke dalam	VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA_VALUE	`ONLY_FIRST_REPLICA`: This is for when every replica is performing the same update, but we only want to perform the update once.
ke dalam	VARIABLE_AGGREGATION_SUM_VALUE	`SUM`: Add the updates across replicas.

Metode Warisan

Dari kelas java.lang.Enum

int terakhir	bandingkanTo ( VariableAggregation arg0)
ke dalam	bandingkanTo (Objek arg0)
boolean terakhir	sama dengan (Objek arg0)
Kelas akhir< VariableAggregation >	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	beri tahu ()
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 ( VariableAggregation arg0)

Nilai Enum

VariableAggregation final statis publik TIDAK DIAKUI

VariableAggregation final statis publik VARIABLE_AGGREGATION_MEAN

 `MEAN`: Take the arithmetic mean ("average") of the updates across
 replicas.
 

VARIABLE_AGGREGATION_MEAN = 2;

VariableAggregation final statis publik VARIABLE_AGGREGATION_NONE

 `NONE`: This is the default, giving an error if you use a
 variable-update operation with multiple replicas.
 

VARIABLE_AGGREGATION_NONE = 0;

VariableAggregation final statis publik VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA

 `ONLY_FIRST_REPLICA`: This is for when every replica is performing the same
 update, but we only want to perform the update once. Used, e.g., for the
 global step counter.
 

VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA = 3;

VariableAggregation final statis publik VARIABLE_AGGREGATION_SUM

 `SUM`: Add the updates across replicas.
 

VARIABLE_AGGREGATION_SUM = 1;

Konstanta

int akhir statis publik VARIABLE_AGGREGATION_MEAN_VALUE

 `MEAN`: Take the arithmetic mean ("average") of the updates across
 replicas.
 

VARIABLE_AGGREGATION_MEAN = 2;

Nilai Konstan: 2

int final statis publik VARIABLE_AGGREGATION_NONE_VALUE

 `NONE`: This is the default, giving an error if you use a
 variable-update operation with multiple replicas.
 

VARIABLE_AGGREGATION_NONE = 0;

Nilai Konstan: 0

int final statis publik VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA_VALUE

 `ONLY_FIRST_REPLICA`: This is for when every replica is performing the same
 update, but we only want to perform the update once. Used, e.g., for the
 global step counter.
 

VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA = 3;

Nilai Konstan: 3

int akhir statis publik VARIABLE_AGGREGATION_SUM_VALUE

 `SUM`: Add the updates across replicas.
 

VARIABLE_AGGREGATION_SUM = 1;

Nilai Konstan: 1