OpDef.Builder

clase final estática pública OpDef.Builder

 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 tipo tensorflow.OpDef

Métodos públicos

OpDef.Constructor	addAllAttr (Iterable<? extiende los valores de OpDef.AttrDef >) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Constructor	addAllControlOutput (valores Iterable<String>) Named control outputs for this operation.
OpDef.Constructor	addAllInputArg (Iterable<? extiende los valores de OpDef.ArgDef >) Description of the input(s).
OpDef.Constructor	addAllOutputArg (Iterable<? extiende los valores de OpDef.ArgDef >) Description of the output(s).
OpDef.Constructor	addAttr ( OpDef.AttrDef.Builder constructorForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Constructor	addAttr (índice int, OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Constructor	addAttr (valor OpDef.AttrDef ) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Constructor	addAttr (índice int, valor OpDef.AttrDef ) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder	agregarAttrBuilder () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder	addAttrBuilder (índice int) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Constructor	addControlOutput (valor de cadena) Named control outputs for this operation.
OpDef.Constructor	addControlOutputBytes (valor com.google.protobuf.ByteString) Named control outputs for this operation.
OpDef.Constructor	addInputArg ( OpDef.ArgDef.Builder constructorForValue) Description of the input(s).
OpDef.Constructor	addInputArg (índice int, valor OpDef.ArgDef ) Description of the input(s).
OpDef.Constructor	addInputArg (valor OpDef.ArgDef ) Description of the input(s).
OpDef.Constructor	addInputArg (índice int, OpDef.ArgDef.Builder builderForValue) Description of the input(s).
OpDef.ArgDef.Constructor	agregarInputArgBuilder () Description of the input(s).
OpDef.ArgDef.Constructor	addInputArgBuilder (índice int) Description of the input(s).
OpDef.Constructor	addOutputArg (índice int, OpDef.ArgDef.Builder builderForValue) Description of the output(s).
OpDef.Constructor	addOutputArg ( OpDef.ArgDef.Builder constructorForValue) Description of the output(s).
OpDef.Constructor	addOutputArg (índice int, valor OpDef.ArgDef ) Description of the output(s).
OpDef.Constructor	addOutputArg (valor OpDef.ArgDef ) Description of the output(s).
OpDef.ArgDef.Constructor	addOutputArgBuilder (índice int) Description of the output(s).
OpDef.ArgDef.Constructor	agregarOutputArgBuilder () Description of the output(s).
OpDef.Constructor	addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
OpDef	construir ()
OpDef	construirPartial ()
OpDef.Constructor	claro ()
OpDef.Constructor	clearAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.Constructor	borrarAttr () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Constructor	borrarControlSalida () Named control outputs for this operation.
OpDef.Constructor	borrar desaprobación () Optional deprecation based on GraphDef versions.
OpDef.Constructor	borrarDescripción () Additional, longer human-readable description of what the Op does.
OpDef.Constructor	clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
OpDef.Constructor	borrarInputArg () Description of the input(s).
OpDef.Constructor	clearIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
OpDef.Constructor	clearIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
OpDef.Constructor	clearIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
OpDef.Constructor	borrar nombre () Op names starting with an underscore are reserved for internal use.
OpDef.Constructor	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
OpDef.Constructor	borrarArgSalida () Description of the output(s).
OpDef.Constructor	borrarResumen () One-line human-readable description of what the Op does.
OpDef.Constructor	clonar ()
booleano	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef	getAttr (índice int) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder	getAttrBuilder (índice int) repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista< OpDef.AttrDef.Builder >	getAttrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
entero	getAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista< OpDef.AttrDef >	obtenerListaDeAtributos () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder	getAttrOrBuilder (índice int) repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista<? extiende OpDef.AttrDefOrBuilder >	getAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
Cadena	getControlOutput (índice int) Named control outputs for this operation.
com.google.protobuf.ByteString	getControlOutputBytes (índice int) Named control outputs for this operation.
entero	getControlOutputCount () Named control outputs for this operation.
com.google.protobuf.ProtocolStringList	getControlOutputList () Named control outputs for this operation.
OpDef	getDefaultInstanceForType ()
OpDeprecación	getDeprecation () Optional deprecation based on GraphDef versions.
OpDeprecation.Builder	getDeprecationBuilder () Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder	getDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
Cadena	obtener descripción () Additional, longer human-readable description of what the Op does.
com.google.protobuf.ByteString	obtenerDescripciónBytes () Additional, longer human-readable description of what the Op does.
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
OpDef.ArgDef	getInputArg (índice int) Description of the input(s).
OpDef.ArgDef.Constructor	getInputArgBuilder (índice int) Description of the input(s).
Lista< OpDef.ArgDef.Builder >	getInputArgBuilderList () Description of the input(s).
entero	obtenerInputArgCount () Description of the input(s).
Lista< OpDef.ArgDef >	obtenerInputArgList () Description of the input(s).
OpDef.ArgDefOrBuilder	getInputArgOrBuilder (índice int) Description of the input(s).
Lista<? extiende OpDef.ArgDefOrBuilder >	getInputArgOrBuilderList () Description of the input(s).
booleano	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
booleano	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
booleano	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
Cadena	obtenerNombre () Op names starting with an underscore are reserved for internal use.
com.google.protobuf.ByteString	getNombreBytes () Op names starting with an underscore are reserved for internal use.
OpDef.ArgDef	getOutputArg (índice int) Description of the output(s).
OpDef.ArgDef.Constructor	getOutputArgBuilder (índice int) Description of the output(s).
Lista< OpDef.ArgDef.Builder >	getOutputArgBuilderList () Description of the output(s).
entero	getOutputArgCount () Description of the output(s).
Lista< OpDef.ArgDef >	getOutputArgList () Description of the output(s).
OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (índice int) Description of the output(s).
Lista<? extiende OpDef.ArgDefOrBuilder >	getOutputArgOrBuilderList () Description of the output(s).
Cadena	obtenerResumen () One-line human-readable description of what the Op does.
com.google.protobuf.ByteString	getSummaryBytes () One-line human-readable description of what the Op does.
booleano	tieneDeprecation () Optional deprecation based on GraphDef versions.
booleano final	está inicializado ()
OpDef.Constructor	mergeDeprecation (valor de OpDeprecation ) Optional deprecation based on GraphDef versions.
OpDef.Constructor	mergeFrom (com.google.protobuf.Message otro)
OpDef.Constructor	mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
OpDef.Builder final	mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
OpDef.Constructor	removeAttr (índice int) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Constructor	removeInputArg (índice int) Description of the input(s).
OpDef.Constructor	eliminarOutputArg (índice int) Description of the output(s).
OpDef.Constructor	setAllowsUninitializedInput (valor booleano) By default, all inputs to an Op must be initialized Tensors.
OpDef.Constructor	setAttr (índice int, valor OpDef.AttrDef ) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Constructor	setAttr (índice int, OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Constructor	setControlOutput (índice int, valor de cadena) Named control outputs for this operation.
OpDef.Constructor	setDeprecation ( OpDeprecation.Builder builderForValue) Optional deprecation based on GraphDef versions.
OpDef.Constructor	setDeprecation (valor de OpDeprecation ) Optional deprecation based on GraphDef versions.
OpDef.Constructor	setDescription (valor de cadena) Additional, longer human-readable description of what the Op does.
OpDef.Constructor	setDescriptionBytes (valor com.google.protobuf.ByteString) Additional, longer human-readable description of what the Op does.
OpDef.Constructor	setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
OpDef.Constructor	setInputArg (índice int, valor OpDef.ArgDef ) Description of the input(s).
OpDef.Constructor	setInputArg (índice int, OpDef.ArgDef.Builder builderForValue) Description of the input(s).
OpDef.Constructor	setIsAggregate (valor booleano) If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
OpDef.Constructor	setIsCommutative (valor booleano) True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
OpDef.Constructor	setIsStateful (valor booleano) Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
OpDef.Constructor	setName (valor de cadena) Op names starting with an underscore are reserved for internal use.
OpDef.Constructor	setNameBytes (valor com.google.protobuf.ByteString) Op names starting with an underscore are reserved for internal use.
OpDef.Constructor	setOutputArg (índice int, valor OpDef.ArgDef ) Description of the output(s).
OpDef.Constructor	setOutputArg (índice int, OpDef.ArgDef.Builder builderForValue) Description of the output(s).
OpDef.Constructor	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)
OpDef.Constructor	setSummary (valor de cadena) One-line human-readable description of what the Op does.
OpDef.Constructor	setSummaryBytes (valor com.google.protobuf.ByteString) One-line human-readable description of what the Op does.
OpDef.Builder final	setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

Métodos heredados

De la clase java.lang.Object

booleano	es igual (Objeto arg0)
Clase final<?>	obtenerclase ()
entero	código hash ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cadena	a cadena ()
vacío final	esperar (arg0 largo, int arg1)
vacío final	espera (arg0 largo)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.OpDefOrBuilder

booleano abstracto	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
resumen OpDef.AttrDef	getAttr (índice int) repeated .tensorflow.OpDef.AttrDef attr = 4;
resumen entero	getAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista abstracta< OpDef.AttrDef >	obtenerListaDeAtributos () repeated .tensorflow.OpDef.AttrDef attr = 4;
resumen OpDef.AttrDefOrBuilder	getAttrOrBuilder (índice int) repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista abstracta<? extiende OpDef.AttrDefOrBuilder >	getAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
cadena abstracta	getControlOutput (índice int) Named control outputs for this operation.
resumen com.google.protobuf.ByteString	getControlOutputBytes (índice int) Named control outputs for this operation.
resumen entero	getControlOutputCount () Named control outputs for this operation.
Lista abstracta<Cadena>	getControlOutputList () Named control outputs for this operation.
resumen OpDeprecation	getDeprecation () Optional deprecation based on GraphDef versions.
resumen OpDeprecationOrBuilder	getDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
cadena abstracta	obtener descripción () Additional, longer human-readable description of what the Op does.
resumen com.google.protobuf.ByteString	obtenerDescripciónBytes () Additional, longer human-readable description of what the Op does.
resumen OpDef.ArgDef	getInputArg (índice int) Description of the input(s).
resumen entero	obtenerInputArgCount () Description of the input(s).
Lista abstracta< OpDef.ArgDef >	obtenerInputArgList () Description of the input(s).
resumen OpDef.ArgDefOrBuilder	getInputArgOrBuilder (índice int) Description of the input(s).
Lista abstracta<? extiende OpDef.ArgDefOrBuilder >	getInputArgOrBuilderList () Description of the input(s).
booleano abstracto	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
booleano abstracto	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
booleano abstracto	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
cadena abstracta	obtenerNombre () Op names starting with an underscore are reserved for internal use.
resumen com.google.protobuf.ByteString	getNombreBytes () Op names starting with an underscore are reserved for internal use.
resumen OpDef.ArgDef	getOutputArg (índice int) Description of the output(s).
resumen entero	getOutputArgCount () Description of the output(s).
Lista abstracta< OpDef.ArgDef >	getOutputArgList () Description of the output(s).
resumen OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (índice int) Description of the output(s).
Lista abstracta<? extiende OpDef.ArgDefOrBuilder >	getOutputArgOrBuilderList () Description of the output(s).
cadena abstracta	obtenerResumen () One-line human-readable description of what the Op does.
resumen com.google.protobuf.ByteString	getSummaryBytes () One-line human-readable description of what the Op does.
booleano abstracto	tieneDeprecation () Optional deprecation based on GraphDef versions.

Métodos públicos

public OpDef.Builder addAllAttr (Iterable<? extiende los valores de OpDef.AttrDef >)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAllControlOutput (valores Iterable<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;

public OpDef.Builder addAllInputArg (Iterable<? extiende los valores de OpDef.ArgDef >)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addAllOutputArg (Iterable<? extiende los valores de OpDef.ArgDef >)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder addAttr (índice int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder addAttr (valor OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder addAttr (índice int, valor OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.AttrDef.Builder addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.AttrDef.Builder addAttrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder addControlOutput (valor de cadena)

 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;

público OpDef.Builder addControlOutputBytes (valor 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;

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

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.Builder addInputArg (índice int, valor OpDef.ArgDef )

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.Builder addInputArg (valor OpDef.ArgDef )

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.Builder addInputArg (índice int, OpDef.ArgDef.Builder builderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.ArgDef.Builder addInputArgBuilder ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.ArgDef.Builder addInputArgBuilder (índice int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.Builder addOutputArg (índice int, OpDef.ArgDef.Builder builderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

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

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.Builder addOutputArg (índice int, valor OpDef.ArgDef )

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.Builder addOutputArg (valor OpDef.ArgDef )

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.ArgDef.Builder addOutputArgBuilder (índice int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.ArgDef.Builder addOutputArgBuilder ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

compilación pública de OpDef ()

compilación pública OpDefPartial ()

público OpDef.Builder claro ()

público OpDef.Builder 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;

público OpDef.Builder clearAttr ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder 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;

public OpDef.Builder clearDeprecation ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

pública OpDef.Builder clearDescription ()

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

string description = 6;

público OpDef.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

público OpDef.Builder clearInputArg ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.Builder 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;

public OpDef.Builder clearIsCommutative ()

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

bool is_commutative = 18;

público OpDef.Builder 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;

público OpDef.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;

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

público OpDef.Builder clearOutputArg ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder clearSummary ()

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

string summary = 5;

clon público de OpDef.Builder ()

getAllowsUninitializedInput booleano público ()

 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;

público OpDef.AttrDef getAttr (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.AttrDef.Builder getAttrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista pública< OpDef.AttrDef.Builder > getAttrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

público int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista pública< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.AttrDefOrBuilder getAttrOrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista pública<? extiende OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

cadena pública getControlOutput (índice 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;

público com.google.protobuf.ByteString getControlOutputBytes (índice 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;

público int 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;

público com.google.protobuf.ProtocolStringList getControlOutputList ()

 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 pública getDefaultInstanceForType ()

public OpDeprecation getDeprecation ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

público OpDeprecation.Builder getDeprecationBuilder ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

público OpDeprecationOrBuilder getDeprecationOrBuilder ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

cadena pública getDescription ()

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

string description = 6;

público com.google.protobuf.ByteString getDescriptionBytes ()

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

string description = 6;

público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

público OpDef.ArgDef getInputArg (índice int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.ArgDef.Builder getInputArgBuilder (índice int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Lista pública< OpDef.ArgDef.Builder > getInputArgBuilderList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público int getInputArgCount ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Lista pública< OpDef.ArgDef > getInputArgList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.ArgDefOrBuilder getInputArgOrBuilder (índice int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Lista pública<? extiende OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

getIsAggregate booleano público ()

 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 booleano público ()

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

bool is_commutative = 18;

getIsStateful público booleano ()

 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;

cadena pública getName ()

 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;

público 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;

público OpDef.ArgDef getOutputArg (índice int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.ArgDef.Builder getOutputArgBuilder (índice int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

Lista pública< OpDef.ArgDef.Builder > getOutputArgBuilderList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público int getOutputArgCount ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

Lista pública< OpDef.ArgDef > getOutputArgList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.ArgDefOrBuilder getOutputArgOrBuilder (índice int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

Lista pública<? extiende OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

cadena pública getSummary ()

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

string summary = 5;

público com.google.protobuf.ByteString getSummaryBytes ()

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

string summary = 5;

hasDeprecation público booleano ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

público final booleano isInitialized ()

public OpDef.Builder mergeDeprecation (valor de OpDeprecation )

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

público OpDef.Builder mergeFrom (com.google.protobuf.Message otro)

OpDef.Builder público mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza

IOExcepción

OpDef.Builder final público mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público OpDef.Builder removeAttr (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder removeInputArg (índice int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.Builder removeOutputArg (índice int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.Builder setAllowsUninitializedInput (valor booleano)

 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;

público OpDef.Builder setAttr (índice int, valor OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder setAttr (índice int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder setControlOutput (índice int, valor de cadena)

 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;

público OpDef.Builder setDeprecation ( OpDeprecation.Builder builderForValue)

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

público OpDef.Builder setDeprecation (valor de OpDeprecation )

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

public OpDef.Builder setDescription (valor de cadena)

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

string description = 6;

público OpDef.Builder setDescriptionBytes (valor com.google.protobuf.ByteString)

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

string description = 6;

público OpDef.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

público OpDef.Builder setInputArg (índice int, valor OpDef.ArgDef )

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.Builder setInputArg (índice int, OpDef.ArgDef.Builder builderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

público OpDef.Builder setIsAggregate (valor booleano)

 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;

público OpDef.Builder setIsCommutative (valor booleano)

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

bool is_commutative = 18;

público OpDef.Builder setIsStateful (valor booleano)

 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;

público OpDef.Builder setName (valor de cadena)

 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;

público OpDef.Builder setNameBytes (valor 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;

público OpDef.Builder setOutputArg (índice int, valor OpDef.ArgDef )

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.Builder setOutputArg (índice int, OpDef.ArgDef.Builder builderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

público OpDef.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)

público OpDef.Builder setSummary (valor de cadena)

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

string summary = 5;

público OpDef.Builder setSummaryBytes (valor com.google.protobuf.ByteString)

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

string summary = 5;

público final OpDef.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)