FixedLenFeatureProto.Builder

classe finale statica pubblica FixedLenFeatureProto.Builder

Tipo di protobuf tensorflow.FixedLenFeatureProto

Metodi pubblici

FixedLenFeatureProto.Builder	addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
FixedLenFeatureProto	costruire ()
FixedLenFeatureProto	buildPartial ()
FixedLenFeatureProto.Builder	chiaro ()
FixedLenFeatureProto.Builder	clearDefaultValue () .tensorflow.TensorProto default_value = 3;
FixedLenFeatureProto.Builder	clearDtype () .tensorflow.DataType dtype = 1;
FixedLenFeatureProto.Builder	clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
FixedLenFeatureProto.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
FixedLenFeatureProto.Builder	chiara forma () .tensorflow.TensorShapeProto shape = 2;
FixedLenFeatureProto.Builder	clearValuesOutputTensorName () string values_output_tensor_name = 4;
FixedLenFeatureProto.Builder	clone ()
FixedLenFeatureProto	getDefaultInstanceForType ()
TensoreProto	getDefaultValue () .tensorflow.TensorProto default_value = 3;
TensorProto.Builder	getDefaultValueBuilder () .tensorflow.TensorProto default_value = 3;
TensorProtoOrBuilder	getDefaultValueOrBuilder () .tensorflow.TensorProto default_value = 3;
com.google.protobuf.Descriptors.Descriptor statico finale	getDescrittore ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
Tipo di dati	getDtipo () .tensorflow.DataType dtype = 1;
int	getDtipoValore () .tensorflow.DataType dtype = 1;
TensorShapeProto	ottieni forma () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder	getShapeBuilder () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
Corda	getValuesOutputTensorName () string values_output_tensor_name = 4;
com.google.protobuf.ByteString	getValuesOutputTensorNameBytes () string values_output_tensor_name = 4;
booleano	hasDefaultValue () .tensorflow.TensorProto default_value = 3;
booleano	haForma () .tensorflow.TensorShapeProto shape = 2;
booleano finale	èinizializzato ()
FixedLenFeatureProto.Builder	mergeDefaultValue (valore TensorProto ) .tensorflow.TensorProto default_value = 3;
FixedLenFeatureProto.Builder	mergeFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
FixedLenFeatureProto.Builder	mergeFrom (com.google.protobuf.Message altro)
FixedLenFeatureProto.Builder	mergeShape (valore TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
finale FixedLenFeatureProto.Builder	mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
FixedLenFeatureProto.Builder	setDefaultValue (valore TensorProto ) .tensorflow.TensorProto default_value = 3;
FixedLenFeatureProto.Builder	setDefaultValue ( TensorProto.Builder builderForValue) .tensorflow.TensorProto default_value = 3;
FixedLenFeatureProto.Builder	setDtype (valore del tipo di dati ) .tensorflow.DataType dtype = 1;
FixedLenFeatureProto.Builder	setDtypeValue (valore int) .tensorflow.DataType dtype = 1;
FixedLenFeatureProto.Builder	setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
FixedLenFeatureProto.Builder	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)
FixedLenFeatureProto.Builder	setShape (valore TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
FixedLenFeatureProto.Builder	setShape ( TensorShapeProto.BuilderbuilderForValue ) .tensorflow.TensorShapeProto shape = 2;
finale FixedLenFeatureProto.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
FixedLenFeatureProto.Builder	setValuesOutputTensorName (valore stringa) string values_output_tensor_name = 4;
FixedLenFeatureProto.Builder	setValuesOutputTensorNameBytes (valore com.google.protobuf.ByteString) string values_output_tensor_name = 4;

Metodi ereditati

Dalla classe java.lang.Object

booleano	è uguale a (Oggetto arg0)
Classe finale<?>	getClass ()
int	codice hash ()
vuoto finale	notificare ()
vuoto finale	notificaTutti ()
Corda	accordare ()
vuoto finale	attendere (lungo arg0, int arg1)
vuoto finale	aspetta (lungo arg0)
vuoto finale	Aspettare ()

Dall'interfaccia org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder

TensoreProto astratto	getDefaultValue () .tensorflow.TensorProto default_value = 3;
astratto TensorProtoOrBuilder	getDefaultValueOrBuilder () .tensorflow.TensorProto default_value = 3;
tipo di dati astratto	getDtipo () .tensorflow.DataType dtype = 1;
astratto int	getDtipoValore () .tensorflow.DataType dtype = 1;
astratto TensorShapeProto	ottieni forma () .tensorflow.TensorShapeProto shape = 2;
astratto TensorShapeProtoOrBuilder	getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2;
stringa astratta	getValuesOutputTensorName () string values_output_tensor_name = 4;
astratto com.google.protobuf.ByteString	getValuesOutputTensorNameBytes () string values_output_tensor_name = 4;
booleano astratto	hasDefaultValue () .tensorflow.TensorProto default_value = 3;
booleano astratto	haForma () .tensorflow.TensorShapeProto shape = 2;

Metodi pubblici

public FixedLenFeatureProto.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)

build pubblica FixedLenFeatureProto ()

public FixedLenFeatureProto buildPartial ()

pubblico FixedLenFeatureProto.Builder chiaro ()

public FixedLenFeatureProto.Builder clearDefaultValue ()

.tensorflow.TensorProto default_value = 3;

public FixedLenFeatureProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

public FixedLenFeatureProto.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

public FixedLenFeatureProto.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

public FixedLenFeatureProto.Builder clearShape ()

.tensorflow.TensorShapeProto shape = 2;

public FixedLenFeatureProto.Builder clearValuesOutputTensorName ()

string values_output_tensor_name = 4;

clone pubblico FixedLenFeatureProto.Builder ()

public FixedLenFeatureProto getDefaultInstanceForType ()

pubblico TensorProto getDefaultValue ()

.tensorflow.TensorProto default_value = 3;

public TensorProto.Builder getDefaultValueBuilder ()

.tensorflow.TensorProto default_value = 3;

public TensorProtoOrBuilder getDefaultValueOrBuilder ()

.tensorflow.TensorProto default_value = 3;

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

pubblico com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

public DataType getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public TensorShapeProto getShape ()

.tensorflow.TensorShapeProto shape = 2;

public TensorShapeProto.Builder getShapeBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public TensorShapeProtoOrBuilder getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public String getValuesOutputTensorName ()

string values_output_tensor_name = 4;

pubblico com.google.protobuf.ByteString getValuesOutputTensorNameBytes ()

string values_output_tensor_name = 4;

pubblico booleano hasDefaultValue ()

.tensorflow.TensorProto default_value = 3;

hasShape booleano pubblico ()

.tensorflow.TensorShapeProto shape = 2;

public final booleano isInitialized ()

public FixedLenFeatureProto.Builder mergeDefaultValue (valore TensorProto )

.tensorflow.TensorProto default_value = 3;

public FixedLenFeatureProto.Builder mergeFrom (input com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia

IOException

public FixedLenFeatureProto.Builder mergeFrom (com.google.protobuf.Message altro)

public FixedLenFeatureProto.Builder mergeShape (valore TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

public final FixedLenFeatureProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

public FixedLenFeatureProto.Builder setDefaultValue (valore TensorProto )

.tensorflow.TensorProto default_value = 3;

public FixedLenFeatureProto.Builder setDefaultValue ( TensorProto.Builder builderForValue)

.tensorflow.TensorProto default_value = 3;

public FixedLenFeatureProto.Builder setDtype (valore DataType )

.tensorflow.DataType dtype = 1;

public FixedLenFeatureProto.Builder setDtypeValue (valore int)

.tensorflow.DataType dtype = 1;

public FixedLenFeatureProto.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)

public FixedLenFeatureProto.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)

public FixedLenFeatureProto.Builder setShape (valore TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

public FixedLenFeatureProto.Builder setShape ( TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 2;

public final FixedLenFeatureProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public FixedLenFeatureProto.Builder setValuesOutputTensorName (valore stringa)

string values_output_tensor_name = 4;

public FixedLenFeatureProto.Builder setValuesOutputTensorNameBytes (valore com.google.protobuf.ByteString)

string values_output_tensor_name = 4;