FixedLenFeatureProto.Builder

kelas akhir statis publik FixedLenFeatureProto.Builder

Tipe protobuf tensorflow.FixedLenFeatureProto

Metode Publik

MemperbaikiLenFeatureProto.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
MemperbaikiLenFeatureProto	membangun ()
MemperbaikiLenFeatureProto	membangunPartial ()
MemperbaikiLenFeatureProto.Builder	jernih ()
MemperbaikiLenFeatureProto.Builder	hapusNilaiDefault () .tensorflow.TensorProto default_value = 3;
MemperbaikiLenFeatureProto.Builder	hapusDtype () .tensorflow.DataType dtype = 1;
MemperbaikiLenFeatureProto.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
MemperbaikiLenFeatureProto.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor salah satu)
MemperbaikiLenFeatureProto.Builder	bentuk jelas () .tensorflow.TensorShapeProto shape = 2;
MemperbaikiLenFeatureProto.Builder	clearValuesOutputTensorName () string values_output_tensor_name = 4;
MemperbaikiLenFeatureProto.Builder	klon ()
MemperbaikiLenFeatureProto	dapatkanDefaultInstanceForType ()
TensorProto	dapatkan Nilai Default () .tensorflow.TensorProto default_value = 3;
TensorProto.Builder	dapatkanDefaultValueBuilder () .tensorflow.TensorProto default_value = 3;
TensorProtoOrBuilder	dapatkanDefaultValueOrBuilder () .tensorflow.TensorProto default_value = 3;
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
Tipe data	dapatkan tipe D () .tensorflow.DataType dtype = 1;
ke dalam	dapatkanDtypeValue () .tensorflow.DataType dtype = 1;
TensorBentukProto	dapatkanBentuk () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProto.Builder	dapatkanShapeBuilder () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder	dapatkanBentukOrBuilder () .tensorflow.TensorShapeProto shape = 2;
Rangkaian	dapatkanValuesOutputTensorName () string values_output_tensor_name = 4;
com.google.protobuf.ByteString	getValuesOutputTensorNameBytes () string values_output_tensor_name = 4;
boolean	memilikiDefaultValue () .tensorflow.TensorProto default_value = 3;
boolean	memilikiBentuk () .tensorflow.TensorShapeProto shape = 2;
boolean terakhir	diinisialisasi ()
MemperbaikiLenFeatureProto.Builder	mergeDefaultValue (nilai TensorProto ) .tensorflow.TensorProto default_value = 3;
MemperbaikiLenFeatureProto.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
MemperbaikiLenFeatureProto.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
MemperbaikiLenFeatureProto.Builder	mergeShape (nilai TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
Final FixedLenFeatureProto.Builder	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
MemperbaikiLenFeatureProto.Builder	setDefaultValue (nilai TensorProto ) .tensorflow.TensorProto default_value = 3;
MemperbaikiLenFeatureProto.Builder	setDefaultValue ( TensorProto.Pembuat pembangunForValue) .tensorflow.TensorProto default_value = 3;
MemperbaikiLenFeatureProto.Builder	setDtype (nilai Tipe Data ) .tensorflow.DataType dtype = 1;
MemperbaikiLenFeatureProto.Builder	setDtypeValue (nilai int) .tensorflow.DataType dtype = 1;
MemperbaikiLenFeatureProto.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
MemperbaikiLenFeatureProto.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
MemperbaikiLenFeatureProto.Builder	setShape (nilai TensorShapeProto ) .tensorflow.TensorShapeProto shape = 2;
MemperbaikiLenFeatureProto.Builder	setShape ( TensorShapeProto.Pembuat pembangunForValue) .tensorflow.TensorShapeProto shape = 2;
Final FixedLenFeatureProto.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
MemperbaikiLenFeatureProto.Builder	setValuesOutputTensorName (Nilai string) string values_output_tensor_name = 4;
MemperbaikiLenFeatureProto.Builder	setValuesOutputTensorNameBytes (nilai com.google.protobuf.ByteString) string values_output_tensor_name = 4;

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	memberitahu ()
kekosongan terakhir	beri tahuSemua ()
Rangkaian	keString ()
kekosongan terakhir	tunggu (arg0 panjang, int arg1)
kekosongan terakhir	tunggu (argumen panjang0)
kekosongan terakhir	Tunggu ()

Dari antarmuka org.tensorflow.proto.example.FixedLenFeatureProtoOrBuilder

TensorProto abstrak	dapatkan Nilai Default () .tensorflow.TensorProto default_value = 3;
TensorProtoOrBuilder abstrak	dapatkanDefaultValueOrBuilder () .tensorflow.TensorProto default_value = 3;
Tipe Data abstrak	dapatkan tipe D () .tensorflow.DataType dtype = 1;
abstrak ke dalam	dapatkanDtypeValue () .tensorflow.DataType dtype = 1;
TensorShapeProto abstrak	dapatkanBentuk () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder abstrak	dapatkanBentukOrBuilder () .tensorflow.TensorShapeProto shape = 2;
Tali abstrak	dapatkanValuesOutputTensorName () string values_output_tensor_name = 4;
abstrak com.google.protobuf.ByteString	getValuesOutputTensorNameBytes () string values_output_tensor_name = 4;
boolean abstrak	memilikiDefaultValue () .tensorflow.TensorProto default_value = 3;
boolean abstrak	memilikiBentuk () .tensorflow.TensorShapeProto shape = 2;

Metode Publik

public FixedLenFeatureProto.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

publik FixedLenFeatureProto build ()

publik FixedLenFeatureProto buildPartial ()

publik FixedLenFeatureProto.Builder jelas ()

publik FixedLenFeatureProto.Builder clearDefaultValue ()

.tensorflow.TensorProto default_value = 3;

publik FixedLenFeatureProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

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

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

publik FixedLenFeatureProto.Builder clearShape ()

.tensorflow.TensorShapeProto shape = 2;

publik FixedLenFeatureProto.Builder clearValuesOutputTensorName ()

string values_output_tensor_name = 4;

Klon FixedLenFeatureProto.Builder publik ()

publik FixedLenFeatureProto getDefaultInstanceForType ()

TensorProto publik getDefaultValue ()

.tensorflow.TensorProto default_value = 3;

TensorProto.Builder publik getDefaultValueBuilder ()

.tensorflow.TensorProto default_value = 3;

TensorProtoOrBuilder publik getDefaultValueOrBuilder ()

.tensorflow.TensorProto default_value = 3;

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

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

Tipe Data publik getDtype ()

.tensorflow.DataType dtype = 1;

int publik getDtypeValue ()

.tensorflow.DataType dtype = 1;

TensorShapeProto getShape publik ()

.tensorflow.TensorShapeProto shape = 2;

TensorShapeProto.Builder publik getShapeBuilder ()

.tensorflow.TensorShapeProto shape = 2;

TensorShapeProtoOrBuilder publik getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

String publik getValuesOutputTensorName ()

string values_output_tensor_name = 4;

publik com.google.protobuf.ByteString getValuesOutputTensorNameBytes ()

string values_output_tensor_name = 4;

boolean publik hasDefaultValue ()

.tensorflow.TensorProto default_value = 3;

boolean publik hasShape ()

.tensorflow.TensorShapeProto shape = 2;

boolean akhir publik diinisialisasi ()

public FixedLenFeatureProto.Builder mergeDefaultValue (nilai TensorProto )

.tensorflow.TensorProto default_value = 3;

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

Melempar

Pengecualian IO

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

public FixedLenFeatureProto.Builder mergeShape (nilai TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

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

public FixedLenFeatureProto.Builder setDefaultValue (nilai TensorProto )

.tensorflow.TensorProto default_value = 3;

FixedLenFeatureProto.Builder setDefaultValue publik ( TensorProto.Builder builderForValue)

.tensorflow.TensorProto default_value = 3;

public FixedLenFeatureProto.Builder setDtype (nilai Tipe Data )

.tensorflow.DataType dtype = 1;

public FixedLenFeatureProto.Builder setDtypeValue (nilai int)

.tensorflow.DataType dtype = 1;

public FixedLenFeatureProto.Builder setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

public FixedLenFeatureProto.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

public FixedLenFeatureProto.Builder setShape (nilai TensorShapeProto )

.tensorflow.TensorShapeProto shape = 2;

FixedLenFeatureProto.Builder setShape publik ( TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 2;

public final FixedLenFeatureProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public FixedLenFeatureProto.Builder setValuesOutputTensorName (Nilai string)

string values_output_tensor_name = 4;

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

string values_output_tensor_name = 4;