AttrValue

AttrValue kelas akhir publik

 Protocol buffer representing the value for an attr used to configure an Op.
 Comment indicates the corresponding attr type.  Only the field matching the
 attr type may be filled.
 

Tipe protobuf tensorflow.AttrValue

Kelas Bersarang

kelas	AttrValue.Builder		Protocol buffer representing the value for an attr used to configure an Op.
kelas	NilaiAtribut.NilaiDaftar		LINT.IfChange Tipe protobuf tensorflow.AttrValue.ListValue
antarmuka	AttrValue.ListValueOrBuilder
enum	AttrValue.ValueCase

Konstanta

ke dalam	B_FIELD_NUMBER
ke dalam	FUNC_FIELD_NUMBER
ke dalam	F_FIELD_NUMBER
ke dalam	SAYA_FIELD_NUMBER
ke dalam	LIST_FIELD_NUMBER
ke dalam	PLACEHOLDER_FIELD_NUMBER
ke dalam	BENTUK_FIELD_NUMBER
ke dalam	S_FIELD_NUMBER
ke dalam	TENSOR_FIELD_NUMBER
ke dalam	TYPE_FIELD_NUMBER

Metode Publik

boolean	sama dengan (Objek objek)
boolean	dapatkanB () "bool" bool b = 5;
Nilai Atribut statis	dapatkanDefaultInstance ()
Nilai Attr	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
mengambang	dapatkanF () "float" float f = 4;
NamaAttrList	dapatkan Fungsi () "func" represents a function.
NamaAttrListOrBuilder	dapatkanFuncOrBuilder () "func" represents a function.
panjang	dapatkan saya () "int" int64 i = 3;
NilaiAtribut.NilaiDaftar	dapatkanDaftar () any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
AttrValue.ListValueOrBuilder	dapatkanListOrBuilder () any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
	dapatkanParserForType ()
Rangkaian	dapatkan Placeholder () This is a placeholder only used in nodes defined inside a function.
com.google.protobuf.ByteString	dapatkanPlaceholderBytes () This is a placeholder only used in nodes defined inside a function.
com.google.protobuf.ByteString	dapatkanS () "string" bytes s = 2;
ke dalam	dapatkanUkuranSerial ()
TensorBentukProto	dapatkanBentuk () "shape" .tensorflow.TensorShapeProto shape = 7;
TensorShapeProtoOrBuilder	dapatkanBentukOrBuilder () "shape" .tensorflow.TensorShapeProto shape = 7;
TensorProto	dapatkan Tensor () "tensor" .tensorflow.TensorProto tensor = 8;
TensorProtoOrBuilder	dapatkanTensorOrBuilder () "tensor" .tensorflow.TensorProto tensor = 8;
Tipe Data	dapatkan Tipe () "type" .tensorflow.DataType type = 6;
ke dalam	dapatkanTypeValue () "type" .tensorflow.DataType type = 6;
final com.google.protobuf.UnknownFieldSet	dapatkan Bidang Tidak Dikenal ()
AttrValue.ValueCase	dapatkanValueCase ()
boolean	memilikiFunc () "func" represents a function.
boolean	memilikiDaftar () any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
boolean	memilikiBentuk () "shape" .tensorflow.TensorShapeProto shape = 7;
boolean	memiliki Tensor () "tensor" .tensorflow.TensorProto tensor = 8;
ke dalam	Kode hash ()
boolean terakhir	diinisialisasi ()
AttrValue.Builder statis	newBuilder (prototipe AttrValue )
AttrValue.Builder statis	Pembangun baru ()
AttrValue.Builder	newBuilderForType ()
Nilai Atribut statis	parseDelimitedFrom (masukan Aliran Masukan)
Nilai Atribut statis	parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Nilai Atribut statis	parseFrom (data ByteBuffer)
Nilai Atribut statis	parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Nilai Atribut statis	parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Nilai Atribut statis	parseFrom (com.google.protobuf.CodedInputStream masukan)
Nilai Atribut statis	parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Nilai Atribut statis	parseFrom (com.google.protobuf.ByteString data)
Nilai Atribut statis	parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Nilai Atribut statis	parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis	pengurai ()
AttrValue.Builder	untukPembangun ()
ruang kosong	writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	beri tahu ()
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.framework.AttrValueOrBuilder

boolean abstrak	dapatkanB () "bool" bool b = 5;
pelampung abstrak	dapatkanF () "float" float f = 4;
abstrak NameAttrList	dapatkan Fungsi () "func" represents a function.
abstrak NameAttrListOrBuilder	dapatkanFuncOrBuilder () "func" represents a function.
abstrak panjang	dapatkan saya () "int" int64 i = 3;
abstrak AttrValue.ListValue	dapatkanDaftar () any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
abstrak AttrValue.ListValueOrBuilder	dapatkanListOrBuilder () any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
Tali abstrak	dapatkan Placeholder () This is a placeholder only used in nodes defined inside a function.
abstrak com.google.protobuf.ByteString	dapatkanPlaceholderBytes () This is a placeholder only used in nodes defined inside a function.
abstrak com.google.protobuf.ByteString	dapatkanS () "string" bytes s = 2;
TensorShapeProto abstrak	dapatkanBentuk () "shape" .tensorflow.TensorShapeProto shape = 7;
TensorShapeProtoOrBuilder abstrak	dapatkanBentukOrBuilder () "shape" .tensorflow.TensorShapeProto shape = 7;
TensorProto abstrak	dapatkan Tensor () "tensor" .tensorflow.TensorProto tensor = 8;
TensorProtoOrBuilder abstrak	dapatkanTensorOrBuilder () "tensor" .tensorflow.TensorProto tensor = 8;
Tipe Data abstrak	dapatkan Tipe () "type" .tensorflow.DataType type = 6;
abstrak ke dalam	dapatkanTypeValue () "type" .tensorflow.DataType type = 6;
abstrak AttrValue.ValueCase	dapatkanValueCase ()
boolean abstrak	memilikiFunc () "func" represents a function.
boolean abstrak	memilikiDaftar () any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
boolean abstrak	memilikiBentuk () "shape" .tensorflow.TensorShapeProto shape = 7;
boolean abstrak	memiliki Tensor () "tensor" .tensorflow.TensorProto tensor = 8;

Konstanta

int akhir statis publik B_FIELD_NUMBER

Nilai Konstan: 5

int akhir statis publik FUNC_FIELD_NUMBER

Nilai Konstan: 10

int final statis publik F_FIELD_NUMBER

Nilai Konstan: 4

int akhir statis publik I_FIELD_NUMBER

Nilai Konstan: 3

int akhir statis publik LIST_FIELD_NUMBER

Nilai Konstan: 1

int final statis publik PLACEHOLDER_FIELD_NUMBER

Nilai Konstan: 9

int akhir statis publik SHAPE_FIELD_NUMBER

Nilai Konstan: 7

int akhir statis publik S_FIELD_NUMBER

Nilai Konstan: 2

int akhir statis publik TENSOR_FIELD_NUMBER

Nilai Konstan: 8

int akhir statis publik TYPE_FIELD_NUMBER

Nilai Konstan: 6

Metode Publik

boolean publik sama (Obj objek)

getB boolean publik ()

 "bool"
 

bool b = 5;

AttrValue statis publik getDefaultInstance ()

AttrValue publik getDefaultInstanceForType ()

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

getF pelampung publik ()

 "float"
 

float f = 4;

publik NameAttrList getFunc ()

 "func" represents a function. func.name is a function's name or
 a primitive op's name. func.attr.first is the name of an attr
 defined for that function. func.attr.second is the value for
 that attr in the instantiation.
 

.tensorflow.NameAttrList func = 10;

NameAttrListOrBuilder publik getFuncOrBuilder ()

 "func" represents a function. func.name is a function's name or
 a primitive op's name. func.attr.first is the name of an attr
 defined for that function. func.attr.second is the value for
 that attr in the instantiation.
 

.tensorflow.NameAttrList func = 10;

publik long getI ()

 "int"
 

int64 i = 3;

AttrValue publik.ListValue getList ()

 any "list(...)"
 

.tensorflow.AttrValue.ListValue list = 1;

AttrValue publik.ListValueOrBuilder getListOrBuilder ()

 any "list(...)"
 

.tensorflow.AttrValue.ListValue list = 1;

publik dapatkanParserForType ()

GetPlaceholder String publik ()

 This is a placeholder only used in nodes defined inside a
 function.  It indicates the attr value will be supplied when
 the function is instantiated.  For example, let us suppose a
 node "N" in function "FN". "N" has an attr "A" with value
 placeholder = "foo". When FN is instantiated with attr "foo"
 set to "bar", the instantiated node N's attr A will have been
 given the value "bar".
 

string placeholder = 9;

publik com.google.protobuf.ByteString getPlaceholderBytes ()

 This is a placeholder only used in nodes defined inside a
 function.  It indicates the attr value will be supplied when
 the function is instantiated.  For example, let us suppose a
 node "N" in function "FN". "N" has an attr "A" with value
 placeholder = "foo". When FN is instantiated with attr "foo"
 set to "bar", the instantiated node N's attr A will have been
 given the value "bar".
 

string placeholder = 9;

com.google.protobuf.ByteString publik getS ()

 "string"
 

bytes s = 2;

publik int getSerializedSize ()

TensorShapeProto getShape publik ()

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

TensorShapeProtoOrBuilder publik getShapeOrBuilder ()

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

TensorProto publik dapatkan Tensor ()

 "tensor"
 

.tensorflow.TensorProto tensor = 8;

TensorProtoOrBuilder publik getTensorOrBuilder ()

 "tensor"
 

.tensorflow.TensorProto tensor = 8;

Tipe Data publik getType ()

 "type"
 

.tensorflow.DataType type = 6;

publik int getTypeValue ()

 "type"
 

.tensorflow.DataType type = 6;

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

AttrValue.ValueCase publik getValueCase ()

boolean publik hasFunc ()

 "func" represents a function. func.name is a function's name or
 a primitive op's name. func.attr.first is the name of an attr
 defined for that function. func.attr.second is the value for
 that attr in the instantiation.
 

.tensorflow.NameAttrList func = 10;

hasList boolean publik ()

 any "list(...)"
 

.tensorflow.AttrValue.ListValue list = 1;

boolean publik hasShape ()

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

boolean publik hasTensor ()

 "tensor"
 

.tensorflow.TensorProto tensor = 8;

kode hash int publik ()

boolean akhir publik diinisialisasi ()

AttrValue.Builder newBuilder statis publik (prototipe AttrValue )

AttrValue.Builder statis publik newBuilder ()

AttrValue publik.Builder newBuilderForType ()

parseDelimitedFrom AttrValue statis publik (input InputStream)

Melempar

Pengecualian IO

parseDelimitedFrom AttrValue statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom AttrValue statis publik (data ByteBuffer)

Melempar

InvalidProtocolBufferException

parseFrom AttrValue statis publik (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom AttrValue statis publik (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

parseFrom AttrValue statis publik (com.google.protobuf.CodedInputStream input)

Melempar

Pengecualian IO

parseFrom AttrValue statis publik (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

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

Melempar

InvalidProtocolBufferException

parseFrom AttrValue statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom AttrValue statis publik (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

statis publik pengurai ()

AttrValue.Builder toBuilder publik ()

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

Melempar

Pengecualian IO