AttrValue.Builder

kelas akhir statis publik AttrValue.Builder

 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

Metode Publik

AttrValue.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Nilai Attr	membangun ()
Nilai Attr	membangunPartial ()
AttrValue.Builder	jernih ()
AttrValue.Builder	jelasB () "bool" bool b = 5;
AttrValue.Builder	jelasF () "float" float f = 4;
AttrValue.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
AttrValue.Builder	fungsi yang jelas () "func" represents a function.
AttrValue.Builder	jelas saya () "int" int64 i = 3;
AttrValue.Builder	daftar jelas () any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
AttrValue.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
AttrValue.Builder	hapus Placeholder () This is a placeholder only used in nodes defined inside a function.
AttrValue.Builder	hapusS () "string" bytes s = 2;
AttrValue.Builder	bentuk jelas () "shape" .tensorflow.TensorShapeProto shape = 7;
AttrValue.Builder	hapus Tensor () "tensor" .tensorflow.TensorProto tensor = 8;
AttrValue.Builder	tipe jelas () "type" .tensorflow.DataType type = 6;
AttrValue.Builder	nilai jelas ()
AttrValue.Builder	klon ()
boolean	dapatkanB () "bool" bool b = 5;
Nilai Attr	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
mengambang	dapatkanF () "float" float f = 4;
NamaAttrList	dapatkan Fungsi () "func" represents a function.
NamaAttrList.Builder	dapatkanFuncBuilder () "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.ListValue.Builder	dapatkanListBuilder () any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
AttrValue.ListValueOrBuilder	dapatkanListOrBuilder () any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
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;
TensorBentukProto	dapatkanBentuk () "shape" .tensorflow.TensorShapeProto shape = 7;
TensorShapeProto.Builder	dapatkanShapeBuilder () "shape" .tensorflow.TensorShapeProto shape = 7;
TensorShapeProtoOrBuilder	dapatkanBentukOrBuilder () "shape" .tensorflow.TensorShapeProto shape = 7;
TensorProto	dapatkan Tensor () "tensor" .tensorflow.TensorProto tensor = 8;
TensorProto.Builder	dapatkanTensorBuilder () "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;
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;
boolean terakhir	diinisialisasi ()
AttrValue.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
AttrValue.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
AttrValue.Builder	mergeFunc (nilai NameAttrList ) "func" represents a function.
AttrValue.Builder	mergeList (nilai AttrValue.ListValue ) any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
AttrValue.Builder	mergeShape (nilai TensorShapeProto ) "shape" .tensorflow.TensorShapeProto shape = 7;
AttrValue.Builder	mergeTensor (nilai TensorProto ) "tensor" .tensorflow.TensorProto tensor = 8;
AttrValue.Builder terakhir	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
AttrValue.Builder	setB (nilai boolean) "bool" bool b = 5;
AttrValue.Builder	setF (nilai mengambang) "float" float f = 4;
AttrValue.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
AttrValue.Builder	setFunc ( NameAttrList.Pembuat pembangunForValue) "func" represents a function.
AttrValue.Builder	setFunc (nilai NameAttrList ) "func" represents a function.
AttrValue.Builder	setI (nilai panjang) "int" int64 i = 3;
AttrValue.Builder	setList (nilai AttrValue.ListValue ) any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
AttrValue.Builder	setList ( AttrValue.ListValue.Builder pembangunForValue) any "list(...)" .tensorflow.AttrValue.ListValue list = 1;
AttrValue.Builder	setPlaceholder (Nilai string) This is a placeholder only used in nodes defined inside a function.
AttrValue.Builder	setPlaceholderBytes (nilai com.google.protobuf.ByteString) This is a placeholder only used in nodes defined inside a function.
AttrValue.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
AttrValue.Builder	setS (nilai com.google.protobuf.ByteString) "string" bytes s = 2;
AttrValue.Builder	setShape (nilai TensorShapeProto ) "shape" .tensorflow.TensorShapeProto shape = 7;
AttrValue.Builder	setShape ( TensorShapeProto.Pembuat pembangunForValue) "shape" .tensorflow.TensorShapeProto shape = 7;
AttrValue.Builder	setTensor ( TensorProto.Pembuat pembangunForValue) "tensor" .tensorflow.TensorProto tensor = 8;
AttrValue.Builder	setTensor (nilai TensorProto ) "tensor" .tensorflow.TensorProto tensor = 8;
AttrValue.Builder	setType (nilai Tipe Data ) "type" .tensorflow.DataType type = 6;
AttrValue.Builder	setTypeValue (nilai int) "type" .tensorflow.DataType type = 6;
AttrValue.Builder terakhir	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

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;

Metode Publik

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

build AttrValue publik ()

buildPartial AttrValue publik ()

AttrValue.Builder publik jelas ()

AttrValue publik.Builder clearB ()

 "bool"
 

bool b = 5;

AttrValue publik.Builder clearF ()

 "float"
 

float f = 4;

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

AttrValue publik.Builder clearFunc ()

 "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;

AttrValue publik.Builder clearI ()

 "int"
 

int64 i = 3;

AttrValue publik.Builder clearList ()

 any "list(...)"
 

.tensorflow.AttrValue.ListValue list = 1;

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

AttrValue.Builder publik clearPlaceholder ()

 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;

AttrValue publik.Builder clearS ()

 "string"
 

bytes s = 2;

AttrValue publik.Builder clearShape ()

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

AttrValue publik.Builder clearTensor ()

 "tensor"
 

.tensorflow.TensorProto tensor = 8;

AttrValue publik.Builder clearType ()

 "type"
 

.tensorflow.DataType type = 6;

AttrValue publik.Builder clearValue ()

klon AttrValue.Builder publik ()

getB boolean publik ()

 "bool"
 

bool b = 5;

AttrValue publik getDefaultInstanceForType ()

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

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

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;

NameAttrList.Builder publik getFuncBuilder ()

 "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.ListValue.Builder publik getListBuilder ()

 any "list(...)"
 

.tensorflow.AttrValue.ListValue list = 1;

AttrValue publik.ListValueOrBuilder getListOrBuilder ()

 any "list(...)"
 

.tensorflow.AttrValue.ListValue list = 1;

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;

TensorShapeProto getShape publik ()

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

TensorShapeProto.Builder publik getShapeBuilder ()

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

TensorShapeProtoOrBuilder publik getShapeOrBuilder ()

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

TensorProto publik dapatkan Tensor ()

 "tensor"
 

.tensorflow.TensorProto tensor = 8;

TensorProto.Builder publik getTensorBuilder ()

 "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;

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;

boolean akhir publik diinisialisasi ()

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

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

Melempar

Pengecualian IO

AttrValue.Builder mergeFunc publik (nilai NameAttrList )

 "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;

AttrValue.Builder mergeList publik (nilai AttrValue.ListValue )

 any "list(...)"
 

.tensorflow.AttrValue.ListValue list = 1;

public AttrValue.Builder mergeShape (nilai TensorShapeProto )

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

AttrValue.Builder mergeTensor publik (nilai TensorProto )

 "tensor"
 

.tensorflow.TensorProto tensor = 8;

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

public AttrValue.Builder setB (nilai boolean)

 "bool"
 

bool b = 5;

public AttrValue.Builder setF (nilai float)

 "float"
 

float f = 4;

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

AttrValue publik.Builder setFunc ( NameAttrList.Builder builderForValue)

 "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;

AttrValue.Builder setFunc publik (nilai NameAttrList )

 "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;

public AttrValue.Builder setI (nilai panjang)

 "int"
 

int64 i = 3;

AttrValue.Builder setList publik (nilai AttrValue.ListValue )

 any "list(...)"
 

.tensorflow.AttrValue.ListValue list = 1;

AttrValue.Builder setList publik ( AttrValue.ListValue.Builder builderForValue)

 any "list(...)"
 

.tensorflow.AttrValue.ListValue list = 1;

public AttrValue.Builder setPlaceholder (Nilai string)

 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;

AttrValue.Builder setPlaceholderBytes publik (nilai com.google.protobuf.ByteString)

 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;

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

set AttrValue.Builder publikS (nilai com.google.protobuf.ByteString)

 "string"
 

bytes s = 2;

AttrValue.Builder setShape publik (nilai TensorShapeProto )

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

AttrValue.Builder setShape publik ( TensorShapeProto.Builder builderForValue)

 "shape"
 

.tensorflow.TensorShapeProto shape = 7;

AttrValue.Builder setTensor publik ( TensorProto.Builder builderForValue)

 "tensor"
 

.tensorflow.TensorProto tensor = 8;

AttrValue.Builder setTensor publik (nilai TensorProto )

 "tensor"
 

.tensorflow.TensorProto tensor = 8;

AttrValue.Builder setType publik (nilai Tipe Data )

 "type"
 

.tensorflow.DataType type = 6;

AttrValue.Builder setTypeValue publik (nilai int)

 "type"
 

.tensorflow.DataType type = 6;

AttrValue.Builder setUnknownFields final publik (com.google.protobuf.UnknownFieldSet unknownFields)