VariableDefOrBuilder

interface publique VariableDefOrBuilder
Sous-classes indirectes connues

Méthodes publiques

agrégation de variables abstraite
getAgrégation ()
 Indicates how a distributed variable will be aggregated.
entier abstrait
getAggregationValue ()
 Indicates how a distributed variable will be aggregated.
Chaîne abstraite
getInitialValueName ()
 Name of the tensor holding the variable's initial value.
résumé com.google.protobuf.ByteString
getInitialValueNameBytes ()
 Name of the tensor holding the variable's initial value.
Chaîne abstraite
getInitializerName ()
 Name of the initializer op.
résumé com.google.protobuf.ByteString
getInitializerNameBytes ()
 Name of the initializer op.
booléen abstrait
getIsResource ()
 Whether to represent this as a ResourceVariable.
résumé SaveSliceInfoDef
getSaveSliceInfoDef ()
 Support for saving variables as slices of a larger variable.
résumé SaveSliceInfoDefOrBuilder
getSaveSliceInfoDefOrBuilder ()
 Support for saving variables as slices of a larger variable.
Chaîne abstraite
getSnapshotName ()
 Name of the snapshot tensor.
résumé com.google.protobuf.ByteString
getSnapshotNameBytes ()
 Name of the snapshot tensor.
synchronisation variable abstraite
getSynchronisation ()
 Indicates when a distributed variable will be synced.
entier abstrait
getSynchronizationValue ()
 Indicates when a distributed variable will be synced.
booléen abstrait
obtenirTrainable ()
 Whether this variable should be trained.
Chaîne abstraite
getVariableName ()
 Name of the variable tensor.
résumé com.google.protobuf.ByteString
getVariableNameBytes ()
 Name of the variable tensor.
booléen abstrait
hasSaveSliceInfoDef ()
 Support for saving variables as slices of a larger variable.

Méthodes publiques

public abstrait VariableAggregation getAggregation ()

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

public abstrait int getAggregationValue ()

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

chaîne abstraite publique getInitialValueName ()

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

résumé public com.google.protobuf.ByteString getInitialValueNameBytes ()

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

chaîne abstraite publique getInitializerName ()

 Name of the initializer op.
 
string initializer_name = 2;

résumé public com.google.protobuf.ByteString getInitializerNameBytes ()

 Name of the initializer op.
 
string initializer_name = 2;

public abstrait booléen getIsResource ()

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

résumé public SaveSliceInfoDef getSaveSliceInfoDef ()

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

résumé public SaveSliceInfoDefOrBuilder getSaveSliceInfoDefOrBuilder ()

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

chaîne abstraite publique getSnapshotName ()

 Name of the snapshot tensor.
 
string snapshot_name = 3;

résumé public com.google.protobuf.ByteString getSnapshotNameBytes ()

 Name of the snapshot tensor.
 
string snapshot_name = 3;

public abstrait VariableSynchronization getSynchronization ()

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

public abstrait int getSynchronizationValue ()

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

public abstrait booléen getTrainable ()

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

chaîne abstraite publique getVariableName ()

 Name of the variable tensor.
 
string variable_name = 1;

résumé public com.google.protobuf.ByteString getVariableNameBytes ()

 Name of the variable tensor.
 
string variable_name = 1;

public abstrait booléen hasSaveSliceInfoDef ()

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