FixedLenFeatureProto

kelas akhir publik FixedLenFeatureProto

Tipe protobuf tensorflow.FixedLenFeatureProto

Kelas Bersarang

kelas MemperbaikiLenFeatureProto.Builder Tipe protobuf tensorflow.FixedLenFeatureProto

Konstanta

ke dalam DEFAULT_VALUE_FIELD_NUMBER
ke dalam DTYPE_FIELD_NUMBER
ke dalam BENTUK_FIELD_NUMBER
ke dalam VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER

Metode Publik

boolean
sama dengan (Objek objek)
FixedLenFeatureProto statis
MemperbaikiLenFeatureProto
TensorProto
dapatkan Nilai Default ()
.tensorflow.TensorProto default_value = 3;
TensorProtoOrBuilder
dapatkanDefaultValueOrBuilder ()
.tensorflow.TensorProto default_value = 3;
com.google.protobuf.Descriptors.Descriptor statis terakhir
Tipe data
dapatkan tipe D ()
.tensorflow.DataType dtype = 1;
ke dalam
dapatkanDtypeValue ()
.tensorflow.DataType dtype = 1;
ke dalam
TensorBentukProto
dapatkanBentuk ()
.tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder
dapatkanBentukOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
final com.google.protobuf.UnknownFieldSet
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;
ke dalam
boolean terakhir
FixedLenFeatureProto.Builder statis
FixedLenFeatureProto.Builder statis
MemperbaikiLenFeatureProto.Builder
FixedLenFeatureProto statis
parseDelimitedFrom (masukan Aliran Masukan)
FixedLenFeatureProto statis
parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
FixedLenFeatureProto statis
parseFrom (data ByteBuffer)
FixedLenFeatureProto statis
parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
FixedLenFeatureProto statis
parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
FixedLenFeatureProto statis
parseFrom (com.google.protobuf.CodedInputStream masukan)
FixedLenFeatureProto statis
parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
FixedLenFeatureProto statis
parseFrom (com.google.protobuf.ByteString data)
FixedLenFeatureProto statis
parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
FixedLenFeatureProto statis
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis
MemperbaikiLenFeatureProto.Builder
ruang kosong
writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Konstanta

int final statis publik DEFAULT_VALUE_FIELD_NUMBER

Nilai Konstan: 3

int akhir statis publik DTYPE_FIELD_NUMBER

Nilai Konstan: 1

int akhir statis publik SHAPE_FIELD_NUMBER

Nilai Konstan: 2

int akhir statis publik VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER

Nilai Konstan: 4

Metode Publik

boolean publik sama (Obj objek)

FixedLenFeatureProto getDefaultInstance statis publik ()

publik FixedLenFeatureProto getDefaultInstanceForType ()

TensorProto publik getDefaultValue ()

.tensorflow.TensorProto default_value = 3;

TensorProtoOrBuilder publik getDefaultValueOrBuilder ()

.tensorflow.TensorProto default_value = 3;

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

Tipe Data publik getDtype ()

.tensorflow.DataType dtype = 1;

int publik getDtypeValue ()

.tensorflow.DataType dtype = 1;

publik dapatkanParserForType ()

publik int getSerializedSize ()

TensorShapeProto getShape publik ()

.tensorflow.TensorShapeProto shape = 2;

TensorShapeProtoOrBuilder publik getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

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;

kode hash int publik ()

boolean akhir publik diinisialisasi ()

FixedLenFeatureProto.Builder statis publik newBuilder ()

public static FixedLenFeatureProto.Builder newBuilder (prototipe FixedLenFeatureProto )

publik FixedLenFeatureProto.Builder newBuilderForType ()

fixedLenFeatureProto parseDelimitedFrom statis publik (input InputStream)

Melempar
Pengecualian IO

public static FixedLenFeatureProto parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

fixedLenFeatureProto parseFrom statis publik (data ByteBuffer)

Melempar
InvalidProtocolBufferException

public static FixedLenFeatureProto parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

public static FixedLenFeatureProto parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

fixedLenFeatureProto parseFrom statis publik (com.google.protobuf.CodedInputStream masukan)

Melempar
Pengecualian IO

public static FixedLenFeatureProto parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

fixedLenFeatureProto parseFrom statis publik (com.google.protobuf.ByteString data)

Melempar
InvalidProtocolBufferException

public static FixedLenFeatureProto parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

public static FixedLenFeatureProto parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

statis publik pengurai ()

publik FixedLenFeatureProto.Builder toBuilder ()

public void writeTo (com.google.protobuf.CodedOutputStream keluaran)

Melempar
Pengecualian IO