VariableDefOrBuilder

interface pública VariableDefOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

agregação de variável abstrata
getAgregação ()
 Indicates how a distributed variable will be aggregated.
abstrato int
getAggregationValue ()
 Indicates how a distributed variable will be aggregated.
cadeia abstrata
getInitialValueName ()
 Name of the tensor holding the variable's initial value.
abstrato com.google.protobuf.ByteString
getInitialValueNameBytes ()
 Name of the tensor holding the variable's initial value.
cadeia abstrata
getInitializerName ()
 Name of the initializer op.
abstrato com.google.protobuf.ByteString
getInitializerNameBytes ()
 Name of the initializer op.
booleano abstrato
getIsResource ()
 Whether to represent this as a ResourceVariable.
resumo SaveSliceInfoDef
getSaveSliceInfoDef ()
 Support for saving variables as slices of a larger variable.
resumo SaveSliceInfoDefOrBuilder
getSaveSliceInfoDefOrBuilder ()
 Support for saving variables as slices of a larger variable.
cadeia abstrata
getSnapshotName ()
 Name of the snapshot tensor.
abstrato com.google.protobuf.ByteString
getSnapshotNameBytes ()
 Name of the snapshot tensor.
sincronização de variável abstrata
getSincronização ()
 Indicates when a distributed variable will be synced.
abstrato int
getSynchronizationValue ()
 Indicates when a distributed variable will be synced.
booleano abstrato
getTrainável ()
 Whether this variable should be trained.
cadeia abstrata
getNomeVariável ()
 Name of the variable tensor.
abstrato com.google.protobuf.ByteString
getVariableNameBytes ()
 Name of the variable tensor.
booleano abstrato
hasSaveSliceInfoDef ()
 Support for saving variables as slices of a larger variable.

Métodos Públicos

público abstrato VariableAggregation getAggregation () 

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

resumo público int getAggregationValue () 

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

String abstrata pública getInitialValueName () 

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

resumo público com.google.protobuf.ByteString getInitialValueNameBytes () 

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

String abstrata pública getInitializerName () 

 Name of the initializer op.
string initializer_name = 2;

resumo público com.google.protobuf.ByteString getInitializerNameBytes () 

 Name of the initializer op.
string initializer_name = 2;

público abstrato booleano getIsResource () 

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

resumo público SaveSliceInfoDef getSaveSliceInfoDef () 

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

público abstrato SaveSliceInfoDefOrBuilder getSaveSliceInfoDefOrBuilder () 

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

string abstrata pública getSnapshotName () 

 Name of the snapshot tensor.
string snapshot_name = 3;

resumo público com.google.protobuf.ByteString getSnapshotNameBytes () 

 Name of the snapshot tensor.
string snapshot_name = 3;

público abstrato VariableSynchronization getSynchronization () 

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

resumo público int getSynchronizationValue () 

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

público abstrato booleano getTrainable () 

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

String abstrata pública getVariableName () 

 Name of the variable tensor.
string variable_name = 1;

resumo público com.google.protobuf.ByteString getVariableNameBytes () 

 Name of the variable tensor.
string variable_name = 1;

público abstrato booleano hasSaveSliceInfoDef () 

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