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
MemperbaikiLenFeatureProto
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
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
com.google.protobuf.Descriptors.Descriptor
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
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

Metode Publik

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

publik FixedLenFeatureProto build ()

publik FixedLenFeatureProto buildPartial ()

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;

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;