OpDef.Builder

OpDef.Builder kelas akhir statis publik

 Defines an operation. A NodeDef in a GraphDef specifies an Op by
 using the "op" field which should match the name of a OpDef.
 LINT.IfChange
 

Protobuf tipe tensorflow.OpDef

Metode Publik

OpDef.Builder	addAllAttr (Nilai Iterable<? extends OpDef.AttrDef >) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addAllControlOutput (nilai<String> yang dapat diubah) Named control outputs for this operation.
OpDef.Builder	addAllInputArg (Nilai Iterable<? extends OpDef.ArgDef >) Description of the input(s).
OpDef.Builder	addAllOutputArg (Nilai Iterable<? extends OpDef.ArgDef >) Description of the output(s).
OpDef.Builder	addAttr ( OpDef.AttrDef.Builder pembangunForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addAttr (indeks int, OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addAttr ( nilai OpDef.AttrDef ) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addAttr (indeks int, nilai OpDef.AttrDef ) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder	tambahkanAttrBuilder () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder	addAttrBuilder (indeks int) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addControlOutput (Nilai string) Named control outputs for this operation.
OpDef.Builder	addControlOutputBytes (nilai com.google.protobuf.ByteString) Named control outputs for this operation.
OpDef.Builder	addInputArg ( OpDef.ArgDef.Pembuat BuilderForValue) Description of the input(s).
OpDef.Builder	addInputArg (indeks int, nilai OpDef.ArgDef ) Description of the input(s).
OpDef.Builder	addInputArg ( nilai OpDef.ArgDef ) Description of the input(s).
OpDef.Builder	addInputArg (indeks int, OpDef.ArgDef.Builder builderForValue) Description of the input(s).
OpDef.ArgDef.Builder	tambahkanInputArgBuilder () Description of the input(s).
OpDef.ArgDef.Builder	addInputArgBuilder (indeks int) Description of the input(s).
OpDef.Builder	addOutputArg (indeks int, OpDef.ArgDef.Builder builderForValue) Description of the output(s).
OpDef.Builder	addOutputArg ( OpDef.ArgDef.Pembuat BuilderForValue) Description of the output(s).
OpDef.Builder	addOutputArg (indeks int, nilai OpDef.ArgDef ) Description of the output(s).
OpDef.Builder	addOutputArg ( nilai OpDef.ArgDef ) Description of the output(s).
OpDef.ArgDef.Builder	addOutputArgBuilder (indeks int) Description of the output(s).
OpDef.ArgDef.Builder	tambahkanOutputArgBuilder () Description of the output(s).
OpDef.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
OpDef	membangun ()
OpDef	membangunPartial ()
OpDef.Builder	jernih ()
OpDef.Builder	clearAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder	hapusAttr () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	hapusKontrolOutput () Named control outputs for this operation.
OpDef.Builder	penghapusan yang jelas () Optional deprecation based on GraphDef versions.
OpDef.Builder	jelasDeskripsi () Additional, longer human-readable description of what the Op does.
OpDef.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
OpDef.Builder	hapusInputArg () Description of the input(s).
OpDef.Builder	clearIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
OpDef.Builder	clearIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
OpDef.Builder	clearIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
OpDef.Builder	nama jelas () Op names starting with an underscore are reserved for internal use.
OpDef.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor salah satu)
OpDef.Builder	hapusOutputArg () Description of the output(s).
OpDef.Builder	jelasRingkasan () One-line human-readable description of what the Op does.
OpDef.Builder	klon ()
boolean	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef	getAttr (indeks int) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder	getAttrBuilder (indeks int) repeated .tensorflow.OpDef.AttrDef attr = 4;
Daftar< OpDef.AttrDef.Builder >	dapatkanAttrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
ke dalam	dapatkanAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4;
Daftar< OpDef.AttrDef >	dapatkanAttrList () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder	getAttrOrBuilder (indeks int) repeated .tensorflow.OpDef.AttrDef attr = 4;
Daftar<? memperluas OpDef.AttrDefOrBuilder >	dapatkanAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
Rangkaian	getControlOutput (indeks int) Named control outputs for this operation.
com.google.protobuf.ByteString	getControlOutputBytes (indeks int) Named control outputs for this operation.
ke dalam	dapatkanControlOutputCount () Named control outputs for this operation.
com.google.protobuf.ProtocolStringList	dapatkanControlOutputList () Named control outputs for this operation.
OpDef	dapatkanDefaultInstanceForType ()
Penghentian Op	dapatkan Penghentian () Optional deprecation based on GraphDef versions.
OpDeprecation.Builder	dapatkanDeprecationBuilder () Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder	dapatkanDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
Rangkaian	dapatkanDeskripsi () Additional, longer human-readable description of what the Op does.
com.google.protobuf.ByteString	dapatkanDeskripsiBytes () Additional, longer human-readable description of what the Op does.
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
OpDef.ArgDef	getInputArg (indeks int) Description of the input(s).
OpDef.ArgDef.Builder	getInputArgBuilder (indeks int) Description of the input(s).
Daftar< OpDef.ArgDef.Builder >	dapatkanInputArgBuilderList () Description of the input(s).
ke dalam	dapatkanInputArgCount () Description of the input(s).
Daftar< OpDef.ArgDef >	dapatkanInputArgList () Description of the input(s).
OpDef.ArgDefOrBuilder	getInputArgOrBuilder (indeks int) Description of the input(s).
Daftar<? memperluas OpDef.ArgDefOrBuilder >	dapatkanInputArgOrBuilderList () Description of the input(s).
boolean	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
boolean	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
boolean	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
Rangkaian	dapatkan Nama () Op names starting with an underscore are reserved for internal use.
com.google.protobuf.ByteString	dapatkanNamaBytes () Op names starting with an underscore are reserved for internal use.
OpDef.ArgDef	getOutputArg (indeks int) Description of the output(s).
OpDef.ArgDef.Builder	getOutputArgBuilder (indeks int) Description of the output(s).
Daftar< OpDef.ArgDef.Builder >	dapatkanOutputArgBuilderList () Description of the output(s).
ke dalam	dapatkanOutputArgCount () Description of the output(s).
Daftar< OpDef.ArgDef >	dapatkanOutputArgList () Description of the output(s).
OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (indeks int) Description of the output(s).
Daftar<? memperluas OpDef.ArgDefOrBuilder >	dapatkanOutputArgOrBuilderList () Description of the output(s).
Rangkaian	dapatkan Ringkasan () One-line human-readable description of what the Op does.
com.google.protobuf.ByteString	dapatkanSummaryBytes () One-line human-readable description of what the Op does.
boolean	sudah tidak digunakan lagi () Optional deprecation based on GraphDef versions.
boolean terakhir	diinisialisasi ()
OpDef.Builder	mergeDeprecation (nilai OpDeprecation ) Optional deprecation based on GraphDef versions.
OpDef.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
OpDef.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
OpDef.Builder terakhir	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
OpDef.Builder	hapusAttr (indeks int) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	hapusInputArg (indeks int) Description of the input(s).
OpDef.Builder	hapusOutputArg (indeks int) Description of the output(s).
OpDef.Builder	setAllowsUninitializedInput (nilai boolean) By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder	setAttr (indeks int, nilai OpDef.AttrDef ) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	setAttr (indeks int, OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	setControlOutput (indeks int, nilai String) Named control outputs for this operation.
OpDef.Builder	setDeprecation ( OpDeprecation.Pembuat pembangunForValue) Optional deprecation based on GraphDef versions.
OpDef.Builder	setDeprecation (nilai OpDeprecation ) Optional deprecation based on GraphDef versions.
OpDef.Builder	setDescription (Nilai string) Additional, longer human-readable description of what the Op does.
OpDef.Builder	setDescriptionBytes (nilai com.google.protobuf.ByteString) Additional, longer human-readable description of what the Op does.
OpDef.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
OpDef.Builder	setInputArg (indeks int, nilai OpDef.ArgDef ) Description of the input(s).
OpDef.Builder	setInputArg (indeks int, OpDef.ArgDef.Builder builderForValue) Description of the input(s).
OpDef.Builder	setIsAggregate (nilai boolean) If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
OpDef.Builder	setIsCommutative (nilai boolean) True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
OpDef.Builder	setIsStateful (nilai boolean) Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
OpDef.Builder	setName (Nilai string) Op names starting with an underscore are reserved for internal use.
OpDef.Builder	setNameBytes (nilai com.google.protobuf.ByteString) Op names starting with an underscore are reserved for internal use.
OpDef.Builder	setOutputArg (indeks int, nilai OpDef.ArgDef ) Description of the output(s).
OpDef.Builder	setOutputArg (indeks int, OpDef.ArgDef.Builder builderForValue) Description of the output(s).
OpDef.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
OpDef.Builder	setSummary (Nilai string) One-line human-readable description of what the Op does.
OpDef.Builder	setSummaryBytes (nilai com.google.protobuf.ByteString) One-line human-readable description of what the Op does.
OpDef.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	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.framework.OpDefOrBuilder

boolean abstrak	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
abstrak OpDef.AttrDef	getAttr (indeks int) repeated .tensorflow.OpDef.AttrDef attr = 4;
abstrak ke dalam	dapatkanAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4;
Daftar abstrak< OpDef.AttrDef >	dapatkanAttrList () repeated .tensorflow.OpDef.AttrDef attr = 4;
abstrak OpDef.AttrDefOrBuilder	getAttrOrBuilder (indeks int) repeated .tensorflow.OpDef.AttrDef attr = 4;
Daftar abstrak<? memperluas OpDef.AttrDefOrBuilder >	dapatkanAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
Tali abstrak	getControlOutput (indeks int) Named control outputs for this operation.
abstrak com.google.protobuf.ByteString	getControlOutputBytes (indeks int) Named control outputs for this operation.
abstrak ke dalam	dapatkanControlOutputCount () Named control outputs for this operation.
Daftar abstrak<String>	dapatkanControlOutputList () Named control outputs for this operation.
OpDeprecation abstrak	dapatkan Penghentian () Optional deprecation based on GraphDef versions.
abstrak OpDeprecationOrBuilder	dapatkanDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
Tali abstrak	dapatkanDeskripsi () Additional, longer human-readable description of what the Op does.
abstrak com.google.protobuf.ByteString	dapatkanDeskripsiBytes () Additional, longer human-readable description of what the Op does.
abstrak OpDef.ArgDef	getInputArg (indeks int) Description of the input(s).
abstrak ke dalam	dapatkanInputArgCount () Description of the input(s).
Daftar abstrak< OpDef.ArgDef >	dapatkanInputArgList () Description of the input(s).
abstrak OpDef.ArgDefOrBuilder	getInputArgOrBuilder (indeks int) Description of the input(s).
Daftar abstrak<? memperluas OpDef.ArgDefOrBuilder >	dapatkanInputArgOrBuilderList () Description of the input(s).
boolean abstrak	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
boolean abstrak	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
boolean abstrak	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
Tali abstrak	dapatkan Nama () Op names starting with an underscore are reserved for internal use.
abstrak com.google.protobuf.ByteString	dapatkanNamaBytes () Op names starting with an underscore are reserved for internal use.
abstrak OpDef.ArgDef	getOutputArg (indeks int) Description of the output(s).
abstrak ke dalam	dapatkanOutputArgCount () Description of the output(s).
Daftar abstrak< OpDef.ArgDef >	dapatkanOutputArgList () Description of the output(s).
abstrak OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (indeks int) Description of the output(s).
Daftar abstrak<? memperluas OpDef.ArgDefOrBuilder >	dapatkanOutputArgOrBuilderList () Description of the output(s).
Tali abstrak	dapatkan Ringkasan () One-line human-readable description of what the Op does.
abstrak com.google.protobuf.ByteString	dapatkanSummaryBytes () One-line human-readable description of what the Op does.
boolean abstrak	sudah tidak digunakan lagi () Optional deprecation based on GraphDef versions.

Metode Publik

public OpDef.Builder addAllAttr (Nilai Iterable<? extends OpDef.AttrDef >)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAllControlOutput (nilai<String> yang dapat diubah)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

public OpDef.Builder addAllInputArg (Nilai Iterable<? extends OpDef.ArgDef >)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addAllOutputArg (Nilai Iterable<? extends OpDef.ArgDef >)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

OpDef.Builder addAttr publik ( OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder addAttr publik (indeks int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

addAttr OpDef.Builder publik (nilai OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

publik OpDef.Builder addAttr (indeks int, nilai OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.AttrDef.Builder publik addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.AttrDef.Builder publik addAttrBuilder (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addControlOutput (Nilai string)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

publik OpDef.Builder addControlOutputBytes (nilai com.google.protobuf.ByteString)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

OpDef.Builder addInputArg publik ( OpDef.ArgDef.Builder builderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

publik OpDef.Builder addInputArg (indeks int, nilai OpDef.ArgDef )

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.Builder publik addInputArg (nilai OpDef.ArgDef )

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.Builder addInputArg publik (indeks int, OpDef.ArgDef.Builder builderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.ArgDef.Builder publik addInputArgBuilder ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.ArgDef.Builder publik addInputArgBuilder (indeks int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.Builder addOutputArg publik (indeks int, OpDef.ArgDef.Builder builderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

OpDef.Builder addOutputArg publik ( OpDef.ArgDef.Builder builderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

publik OpDef.Builder addOutputArg (indeks int, nilai OpDef.ArgDef )

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

publik OpDef.Builder addOutputArg ( nilai OpDef.ArgDef )

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

publik OpDef.ArgDef.Builder addOutputArgBuilder (int indeks)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

OpDef.ArgDef.Builder publik addOutputArgBuilder ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

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

build OpDef publik ()

build OpDef publikPartial ()

OpDef.Builder publik jelas ()

OpDef.Builder publik clearAllowsUninitializedInput ()

 By default, all inputs to an Op must be initialized Tensors.  Ops
 that may initialize tensors for the first time should set this
 field to true, to allow the Op to take an uninitialized Tensor as
 input.
 

bool allows_uninitialized_input = 19;

OpDef publik.Builder clearAttr ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder publik clearControlOutput ()

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

OpDef.Builder publik clearDeprecation ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

OpDef.Builder publik clearDescription ()

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

OpDef.Builder clearField publik (bidang com.google.protobuf.Descriptors.FieldDescriptor)

OpDef.Builder publik clearInputArg ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.Builder publik clearIsAggregate ()

 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.  Should be
 associative and commutative, and produce output with the same
 shape as the input.  The optimizer may replace an aggregate op
 taking input from multiple devices with a tree of aggregate ops
 that aggregate locally within each device (and possibly within
 groups of nearby devices) before communicating.
 TODO(josh11b): Implement that optimization.
 

bool is_aggregate = 16;

OpDef publik.Builder clearIsCommutative ()

 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
 

bool is_commutative = 18;

OpDef.Builder publik clearIsStateful ()

 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g. variable reading op) or if they have
 a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
 must always produce the same output for the same input and have
 no side-effects.
 By default Ops may be moved between devices.  Stateful ops should
 either not be moved, or should only be moved if that state can also
 be moved (e.g. via some sort of save / restore).
 Stateful ops are guaranteed to never be optimized away by Common
 Subexpression Elimination (CSE).
 

bool is_stateful = 17;

OpDef publik.Builder clearName ()

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

OpDef.Builder publik clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

OpDef.Builder publik clearOutputArg ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

OpDef.Builder publik clearSummary ()

ringkasan string

 One-line human-readable description of what the Op does.
 

string summary = 5;

klon OpDef.Builder publik ()

getAllowsUninitializedInput boolean publik ()

 By default, all inputs to an Op must be initialized Tensors.  Ops
 that may initialize tensors for the first time should set this
 field to true, to allow the Op to take an uninitialized Tensor as
 input.
 

bool allows_uninitialized_input = 19;

OpDef.AttrDef publik getAttr (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.AttrDef.Builder publik getAttrBuilder (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Daftar publik< OpDef.AttrDef.Builder > getAttrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

int publik getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Daftar publik< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.AttrDefOrBuilder publik getAttrOrBuilder (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Daftar Publik<? memperluas OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

String publik getControlOutput (indeks int)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

publik com.google.protobuf.ByteString getControlOutputBytes (int indeks)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

int publik getControlOutputCount ()

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

com.google.protobuf.ProtocolStringList getControlOutputList () publik

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

OpDef publik getDefaultInstanceForType ()

OpDeprecation publik getDeprecation ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

OpDeprecation.Builder publik getDeprecationBuilder ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

OpDeprecationOrBuilder publik getDeprecationOrBuilder ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

GetDeskripsi String publik ()

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

com.google.protobuf.ByteString publik getDescriptionBytes ()

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

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

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

OpDef.ArgDef publik getInputArg (indeks int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.ArgDef.Builder publik getInputArgBuilder (indeks int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Daftar publik< OpDef.ArgDef.Builder > getInputArgBuilderList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

int publik getInputArgCount ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Daftar publik< OpDef.ArgDef > getInputArgList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.ArgDefOrBuilder publik getInputArgOrBuilder (int indeks)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Daftar Publik<? memperluas OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

getIsAggregate boolean publik ()

 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.  Should be
 associative and commutative, and produce output with the same
 shape as the input.  The optimizer may replace an aggregate op
 taking input from multiple devices with a tree of aggregate ops
 that aggregate locally within each device (and possibly within
 groups of nearby devices) before communicating.
 TODO(josh11b): Implement that optimization.
 

bool is_aggregate = 16;

getIsCommutative boolean publik ()

 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
 

bool is_commutative = 18;

boolean publik getIsStateful ()

 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g. variable reading op) or if they have
 a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
 must always produce the same output for the same input and have
 no side-effects.
 By default Ops may be moved between devices.  Stateful ops should
 either not be moved, or should only be moved if that state can also
 be moved (e.g. via some sort of save / restore).
 Stateful ops are guaranteed to never be optimized away by Common
 Subexpression Elimination (CSE).
 

bool is_stateful = 17;

GetName String publik ()

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

publik com.google.protobuf.ByteString getNameBytes ()

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

OpDef.ArgDef publik getOutputArg (indeks int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

OpDef.ArgDef.Builder publik getOutputArgBuilder (indeks int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

Daftar publik< OpDef.ArgDef.Builder > getOutputArgBuilderList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

int publik getOutputArgCount ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

Daftar publik< OpDef.ArgDef > getOutputArgList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

OpDef.ArgDefOrBuilder publik getOutputArgOrBuilder (int indeks)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

Daftar Publik<? memperluas OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

String publik getSummary ()

ringkasan string

 One-line human-readable description of what the Op does.
 

string summary = 5;

com.google.protobuf.ByteString publik getSummaryBytes ()

ringkasan string

 One-line human-readable description of what the Op does.
 

string summary = 5;

boolean publik hasDeprecation ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

boolean akhir publik diinisialisasi ()

Penggabungan OpDef.Builder publik (nilai OpDeprecation )

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

OpDef.Builder mergeFrom publik (com.google.protobuf.Message lainnya)

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

Melempar

Pengecualian IO

OpDef.Builder akhir publik menggabungkanUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

OpDef.Builder publik deleteAttr (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder publik deleteInputArg (int indeks)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.Builder publik deleteOutputArg (int indeks)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder setAllowsUninitializedInput (nilai boolean)

 By default, all inputs to an Op must be initialized Tensors.  Ops
 that may initialize tensors for the first time should set this
 field to true, to allow the Op to take an uninitialized Tensor as
 input.
 

bool allows_uninitialized_input = 19;

OpDef.Builder setAttr publik (indeks int, nilai OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder setAttr publik (indeks int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder setControlOutput publik (indeks int, nilai String)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

OpDef.Builder setDeprecation publik ( OpDeprecation.Builder builderForValue)

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

setDeprecation OpDef.Builder publik (nilai OpDeprecation )

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

public OpDef.Builder setDescription (Nilai string)

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

setDescriptionBytes OpDef.Builder publik (nilai com.google.protobuf.ByteString)

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

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

OpDef.Builder publik setInputArg (indeks int, nilai OpDef.ArgDef )

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

OpDef.Builder setInputArg publik (indeks int, OpDef.ArgDef.Builder builderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

setIsAggregate OpDef.Builder publik (nilai boolean)

 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.  Should be
 associative and commutative, and produce output with the same
 shape as the input.  The optimizer may replace an aggregate op
 taking input from multiple devices with a tree of aggregate ops
 that aggregate locally within each device (and possibly within
 groups of nearby devices) before communicating.
 TODO(josh11b): Implement that optimization.
 

bool is_aggregate = 16;

public OpDef.Builder setIsCommutative (nilai boolean)

 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
 

bool is_commutative = 18;

OpDef.Builder publik setIsStateful (nilai boolean)

 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g. variable reading op) or if they have
 a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
 must always produce the same output for the same input and have
 no side-effects.
 By default Ops may be moved between devices.  Stateful ops should
 either not be moved, or should only be moved if that state can also
 be moved (e.g. via some sort of save / restore).
 Stateful ops are guaranteed to never be optimized away by Common
 Subexpression Elimination (CSE).
 

bool is_stateful = 17;

setName OpDef.Builder publik (Nilai string)

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

setNameBytes OpDef.Builder publik (nilai com.google.protobuf.ByteString)

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

OpDef.Builder publik setOutputArg (indeks int, nilai OpDef.ArgDef )

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

OpDef.Builder setOutputArg publik (indeks int, OpDef.ArgDef.Builder builderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

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

public OpDef.Builder setSummary (Nilai string)

ringkasan string

 One-line human-readable description of what the Op does.
 

string summary = 5;

setSummaryBytes OpDef.Builder publik (nilai com.google.protobuf.ByteString)

ringkasan string

 One-line human-readable description of what the Op does.
 

string summary = 5;

set OpDef.Builder final publikUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)