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VarLenFeatureProto.Builder

kelas akhir statis publik VarLenFeatureProto.Builder

Tipe protobuf tensorflow.VarLenFeatureProto

Metode Publik

VarLenFeatureProto.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
VarLenFeatureProto	membangun ()
VarLenFeatureProto	membangunPartial ()
VarLenFeatureProto.Builder	jernih ()
VarLenFeatureProto.Builder	hapusDtype () `.tensorflow.DataType dtype = 1;`
VarLenFeatureProto.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
VarLenFeatureProto.Builder	clearIndicesOutputTensorName () `string indices_output_tensor_name = 3;`
VarLenFeatureProto.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
VarLenFeatureProto.Builder	clearShapesOutputTensorName () `string shapes_output_tensor_name = 4;`
VarLenFeatureProto.Builder	clearValuesOutputTensorName () `string values_output_tensor_name = 2;`
VarLenFeatureProto.Builder	klon ()
VarLenFeatureProto	dapatkanDefaultInstanceForType ()
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;`
Rangkaian	dapatkanIndicesOutputTensorName () `string indices_output_tensor_name = 3;`
com.google.protobuf.ByteString	dapatkanIndicesOutputTensorNameBytes () `string indices_output_tensor_name = 3;`
Rangkaian	dapatkanBentukOutputTensorName () `string shapes_output_tensor_name = 4;`
com.google.protobuf.ByteString	dapatkanBentukOutputTensorNameBytes () `string shapes_output_tensor_name = 4;`
Rangkaian	dapatkanValuesOutputTensorName () `string values_output_tensor_name = 2;`
com.google.protobuf.ByteString	getValuesOutputTensorNameBytes () `string values_output_tensor_name = 2;`
boolean terakhir	diinisialisasi ()
VarLenFeatureProto.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
VarLenFeatureProto.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
VarLenFeatureProto.Builder terakhir	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
VarLenFeatureProto.Builder	setDtype (nilai Tipe Data ) `.tensorflow.DataType dtype = 1;`
VarLenFeatureProto.Builder	setDtypeValue (nilai int) `.tensorflow.DataType dtype = 1;`
VarLenFeatureProto.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
VarLenFeatureProto.Builder	setIndicesOutputTensorName (Nilai string) `string indices_output_tensor_name = 3;`
VarLenFeatureProto.Builder	setIndicesOutputTensorNameBytes (nilai com.google.protobuf.ByteString) `string indices_output_tensor_name = 3;`
VarLenFeatureProto.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
VarLenFeatureProto.Builder	setShapesOutputTensorName (Nilai string) `string shapes_output_tensor_name = 4;`
VarLenFeatureProto.Builder	setShapesOutputTensorNameBytes (nilai com.google.protobuf.ByteString) `string shapes_output_tensor_name = 4;`
VarLenFeatureProto.Builder terakhir	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
VarLenFeatureProto.Builder	setValuesOutputTensorName (Nilai string) `string values_output_tensor_name = 2;`
VarLenFeatureProto.Builder	setValuesOutputTensorNameBytes (nilai com.google.protobuf.ByteString) `string values_output_tensor_name = 2;`

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.VarLenFeatureProtoOrBuilder

Tipe Data abstrak	dapatkan tipe D () `.tensorflow.DataType dtype = 1;`
abstrak ke dalam	dapatkanDtypeValue () `.tensorflow.DataType dtype = 1;`
Tali abstrak	dapatkanIndicesOutputTensorName () `string indices_output_tensor_name = 3;`
abstrak com.google.protobuf.ByteString	dapatkanIndicesOutputTensorNameBytes () `string indices_output_tensor_name = 3;`
Tali abstrak	dapatkanBentukOutputTensorName () `string shapes_output_tensor_name = 4;`
abstrak com.google.protobuf.ByteString	dapatkanBentukOutputTensorNameBytes () `string shapes_output_tensor_name = 4;`
Tali abstrak	dapatkanValuesOutputTensorName () `string values_output_tensor_name = 2;`
abstrak com.google.protobuf.ByteString	getValuesOutputTensorNameBytes () `string values_output_tensor_name = 2;`

Metode Publik

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

publik VarLenFeatureProto build ()

public VarLenFeatureProto buildPartial ()

publik VarLenFeatureProto.Builder jelas ()

publik VarLenFeatureProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

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

publik VarLenFeatureProto.Builder clearIndicesOutputTensorName ()

string indices_output_tensor_name = 3;

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

publik VarLenFeatureProto.Builder clearShapesOutputTensorName ()

string shapes_output_tensor_name = 4;

publik VarLenFeatureProto.Builder clearValuesOutputTensorName ()

string values_output_tensor_name = 2;

Klon VarLenFeatureProto.Builder publik ()

publik VarLenFeatureProto getDefaultInstanceForType ()

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;

String publik getIndicesOutputTensorName ()

string indices_output_tensor_name = 3;

publik com.google.protobuf.ByteString getIndicesOutputTensorNameBytes ()

string indices_output_tensor_name = 3;

String publik getShapesOutputTensorName ()

string shapes_output_tensor_name = 4;

publik com.google.protobuf.ByteString getShapesOutputTensorNameBytes ()

string shapes_output_tensor_name = 4;

String publik getValuesOutputTensorName ()

string values_output_tensor_name = 2;

publik com.google.protobuf.ByteString getValuesOutputTensorNameBytes ()

string values_output_tensor_name = 2;

boolean akhir publik diinisialisasi ()

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

Melempar

Pengecualian IO

public VarLenFeatureProto.Builder mergeFrom (com.google.protobuf.Pesan lainnya)

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

public VarLenFeatureProto.Builder setDtype (nilai Tipe Data )

.tensorflow.DataType dtype = 1;

publik VarLenFeatureProto.Builder setDtypeValue (nilai int)

.tensorflow.DataType dtype = 1;

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

public VarLenFeatureProto.Builder setIndicesOutputTensorName (Nilai string)

string indices_output_tensor_name = 3;

public VarLenFeatureProto.Builder setIndicesOutputTensorNameBytes (nilai com.google.protobuf.ByteString)

string indices_output_tensor_name = 3;

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

public VarLenFeatureProto.Builder setShapesOutputTensorName (Nilai string)

string shapes_output_tensor_name = 4;

public VarLenFeatureProto.Builder setShapesOutputTensorNameBytes (nilai com.google.protobuf.ByteString)

string shapes_output_tensor_name = 4;

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

public VarLenFeatureProto.Builder setValuesOutputTensorName (Nilai string)

string values_output_tensor_name = 2;

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

string values_output_tensor_name = 2;