VariableDefOrBuilder

antarmuka publik VariableDefOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

VariabelAgregasi abstrak
dapatkanAgregasi ()
 Indicates how a distributed variable will be aggregated.
abstrak ke dalam
dapatkan Nilai Agregasi ()
 Indicates how a distributed variable will be aggregated.
Tali abstrak
dapatkanInitialValueName ()
 Name of the tensor holding the variable's initial value.
abstrak com.google.protobuf.ByteString
dapatkanInitialValueNameBytes ()
 Name of the tensor holding the variable's initial value.
Tali abstrak
dapatkanInisialisasiNama ()
 Name of the initializer op.
abstrak com.google.protobuf.ByteString
dapatkanInitializerNameBytes ()
 Name of the initializer op.
boolean abstrak
getIsResource ()
 Whether to represent this as a ResourceVariable.
abstrak SaveSliceInfoDef
dapatkanSaveSliceInfoDef ()
 Support for saving variables as slices of a larger variable.
abstrak SaveSliceInfoDefOrBuilder
dapatkanSaveSliceInfoDefOrBuilder ()
 Support for saving variables as slices of a larger variable.
Tali abstrak
dapatkan Nama Snapshot ()
 Name of the snapshot tensor.
abstrak com.google.protobuf.ByteString
dapatkanSnapshotNameBytes ()
 Name of the snapshot tensor.
Sinkronisasi Variabel abstrak
dapatkan Sinkronisasi ()
 Indicates when a distributed variable will be synced.
abstrak ke dalam
dapatkanNilai Sinkronisasi ()
 Indicates when a distributed variable will be synced.
boolean abstrak
dapatkan Dapat Dilatih ()
 Whether this variable should be trained.
Tali abstrak
dapatkan NamaVariabel ()
 Name of the variable tensor.
abstrak com.google.protobuf.ByteString
dapatkanVariableNameBytes ()
 Name of the variable tensor.
boolean abstrak
hasSaveSliceInfoDef ()
 Support for saving variables as slices of a larger variable.

Metode Publik

VariabelAgregasi abstrak publik getAgregasi () 

 Indicates how a distributed variable will be aggregated.
.tensorflow.VariableAggregation aggregation = 9;

abstrak publik int getAggregationValue () 

 Indicates how a distributed variable will be aggregated.
.tensorflow.VariableAggregation aggregation = 9;

String abstrak publik getInitialValueName () 

 Name of the tensor holding the variable's initial value.
string initial_value_name = 6;

abstrak publik com.google.protobuf.ByteString getInitialValueNameBytes () 

 Name of the tensor holding the variable's initial value.
string initial_value_name = 6;

String abstrak publik getInitializerName () 

 Name of the initializer op.
string initializer_name = 2;

abstrak publik com.google.protobuf.ByteString getInitializerNameBytes () 

 Name of the initializer op.
string initializer_name = 2;

boolean abstrak publik getIsResource () 

 Whether to represent this as a ResourceVariable.
bool is_resource = 5;

abstrak publik SaveSliceInfoDef getSaveSliceInfoDef () 

 Support for saving variables as slices of a larger variable.
.tensorflow.SaveSliceInfoDef save_slice_info_def = 4;

abstrak publik SaveSliceInfoOrBuilder getSaveSliceInfoDefOrBuilder () 

 Support for saving variables as slices of a larger variable.
.tensorflow.SaveSliceInfoDef save_slice_info_def = 4;

String abstrak publik getSnapshotName () 

 Name of the snapshot tensor.
string snapshot_name = 3;

abstrak publik com.google.protobuf.ByteString getSnapshotNameBytes () 

 Name of the snapshot tensor.
string snapshot_name = 3;

Sinkronisasi Variabel abstrak publik getSinkronisasi () 

 Indicates when a distributed variable will be synced.
.tensorflow.VariableSynchronization synchronization = 8;

abstrak publik int getSynchronizationValue () 

 Indicates when a distributed variable will be synced.
.tensorflow.VariableSynchronization synchronization = 8;

boolean abstrak publik getTrainable () 

 Whether this variable should be trained.
bool trainable = 7;

String abstrak publik getVariableName () 

 Name of the variable tensor.
string variable_name = 1;

abstrak publik com.google.protobuf.ByteString getVariableNameBytes () 

 Name of the variable tensor.
string variable_name = 1;

boolean abstrak publik hasSaveSliceInfoDef () 

 Support for saving variables as slices of a larger variable.
.tensorflow.SaveSliceInfoDef save_slice_info_def = 4;