OpDef.Builder

classe finale statique publique 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
 

tensorflow.OpDef de type Protobuf.OpDef

Méthodes publiques

OpDef.Builder	addAllAttr (Iterable<? étend OpDef.AttrDef > valeurs) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addAllControlOutput (valeurs Iterable<String>) Named control outputs for this operation.
OpDef.Builder	addAllInputArg (Iterable<? étend OpDef.ArgDef > valeurs) Description of the input(s).
OpDef.Builder	addAllOutputArg (Iterable<? étend OpDef.ArgDef > valeurs) Description of the output(s).
OpDef.Builder	addAttr ( OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addAttr (index int, OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addAttr (valeur OpDef.AttrDef ) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addAttr (index int, valeur OpDef.AttrDef ) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder	addAttrBuilder () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder	addAttrBuilder (index int) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	addControlOutput (valeur de chaîne) Named control outputs for this operation.
OpDef.Builder	addControlOutputBytes (valeur com.google.protobuf.ByteString) Named control outputs for this operation.
OpDef.Builder	addInputArg ( OpDef.ArgDef.Builder builderForValue) Description of the input(s).
OpDef.Builder	addInputArg (index int, valeur OpDef.ArgDef ) Description of the input(s).
OpDef.Builder	addInputArg (valeur OpDef.ArgDef ) Description of the input(s).
OpDef.Builder	addInputArg (index int, OpDef.ArgDef.Builder builderForValue) Description of the input(s).
OpDef.ArgDef.Builder	addInputArgBuilder () Description of the input(s).
OpDef.ArgDef.Builder	addInputArgBuilder (index int) Description of the input(s).
OpDef.Builder	addOutputArg (index int, OpDef.ArgDef.Builder builderForValue) Description of the output(s).
OpDef.Builder	addOutputArg ( OpDef.ArgDef.Builder builderForValue) Description of the output(s).
OpDef.Builder	addOutputArg (index int, valeur OpDef.ArgDef ) Description of the output(s).
OpDef.Builder	addOutputArg (valeur OpDef.ArgDef ) Description of the output(s).
OpDef.ArgDef.Builder	addOutputArgBuilder (index int) Description of the output(s).
OpDef.ArgDef.Builder	addOutputArgBuilder () Description of the output(s).
OpDef.Builder	addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
OpDef	construire ()
OpDef	buildPartial ()
OpDef.Builder	clair ()
OpDef.Builder	clearAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder	effacerAttr () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	clearControlOutput () Named control outputs for this operation.
OpDef.Builder	clearDépréciation () Optional deprecation based on GraphDef versions.
OpDef.Builder	effacerDescription () Additional, longer human-readable description of what the Op does.
OpDef.Builder	clearField (champ com.google.protobuf.Descriptors.FieldDescriptor)
OpDef.Builder	clearInputArg () 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	nom clair () Op names starting with an underscore are reserved for internal use.
OpDef.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
OpDef.Builder	clearOutputArg () Description of the output(s).
OpDef.Builder	effacerRésumé () One-line human-readable description of what the Op does.
OpDef.Builder	cloner ()
booléen	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef	getAttr (index int) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder	getAttrBuilder (index int) repeated .tensorflow.OpDef.AttrDef attr = 4;
Liste< OpDef.AttrDef.Builder >	getAttrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
int	getAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4;
Liste< OpDef.AttrDef >	getAttrListe () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder	getAttrOrBuilder (index int) repeated .tensorflow.OpDef.AttrDef attr = 4;
Liste<? étend OpDef.AttrDefOrBuilder >	getAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
Chaîne	getControlOutput (index int) Named control outputs for this operation.
com.google.protobuf.ByteString	getControlOutputBytes (index int) Named control outputs for this operation.
int	getControlOutputCount () Named control outputs for this operation.
com.google.protobuf.ProtocolStringList	getControlOutputList () Named control outputs for this operation.
OpDef	getDefaultInstanceForType ()
OpDépréciation	getDépréciation () Optional deprecation based on GraphDef versions.
OpDeprecation.Builder	getDeprecationBuilder () Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder	getDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
Chaîne	obtenirDescription () Additional, longer human-readable description of what the Op does.
com.google.protobuf.ByteString	getDescriptionBytes () Additional, longer human-readable description of what the Op does.
final statique com.google.protobuf.Descriptors.Descriptor	getDescripteur ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
OpDef.ArgDef	getInputArg (index int) Description of the input(s).
OpDef.ArgDef.Builder	getInputArgBuilder (index int) Description of the input(s).
Liste< OpDef.ArgDef.Builder >	getInputArgBuilderList () Description of the input(s).
int	getInputArgCount () Description of the input(s).
Liste< OpDef.ArgDef >	getInputArgList () Description of the input(s).
OpDef.ArgDefOrBuilder	getInputArgOrBuilder (index int) Description of the input(s).
Liste<? étend OpDef.ArgDefOrBuilder >	getInputArgOrBuilderList () Description of the input(s).
booléen	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
booléen	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
booléen	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
Chaîne	obtenirNom () Op names starting with an underscore are reserved for internal use.
com.google.protobuf.ByteString	getNameBytes () Op names starting with an underscore are reserved for internal use.
OpDef.ArgDef	getOutputArg (index int) Description of the output(s).
OpDef.ArgDef.Builder	getOutputArgBuilder (index int) Description of the output(s).
Liste< OpDef.ArgDef.Builder >	getOutputArgBuilderList () Description of the output(s).
int	getOutputArgCount () Description of the output(s).
Liste< OpDef.ArgDef >	getOutputArgList () Description of the output(s).
OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (index int) Description of the output(s).
Liste<? étend OpDef.ArgDefOrBuilder >	getOutputArgOrBuilderList () Description of the output(s).
Chaîne	getRésumé () 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.
booléen	hasDépréciation () Optional deprecation based on GraphDef versions.
booléen final	estInitialisé ()
OpDef.Builder	mergeDeprecation (valeur OpDeprecation ) Optional deprecation based on GraphDef versions.
OpDef.Builder	mergeFrom (com.google.protobuf.Message autre)
OpDef.Builder	mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
OpDef.Builder final	mergeUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)
OpDef.Builder	RemoveAttr (index int) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	RemoveInputArg (index int) Description of the input(s).
OpDef.Builder	RemoveOutputArg (index int) Description of the output(s).
OpDef.Builder	setAllowsUninitializedInput (valeur booléenne) By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder	setAttr (index int, valeur OpDef.AttrDef ) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	setAttr (index int, OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder	setControlOutput (index int, valeur de chaîne) Named control outputs for this operation.
OpDef.Builder	setDeprecation ( OpDeprecation.Builder builderForValue) Optional deprecation based on GraphDef versions.
OpDef.Builder	setDeprecation (valeur OpDeprecation ) Optional deprecation based on GraphDef versions.
OpDef.Builder	setDescription (valeur de chaîne) Additional, longer human-readable description of what the Op does.
OpDef.Builder	setDescriptionBytes (valeur com.google.protobuf.ByteString) Additional, longer human-readable description of what the Op does.
OpDef.Builder	setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
OpDef.Builder	setInputArg (index int, valeur OpDef.ArgDef ) Description of the input(s).
OpDef.Builder	setInputArg (index int, OpDef.ArgDef.Builder builderForValue) Description of the input(s).
OpDef.Builder	setIsAggregate (valeur booléenne) If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
OpDef.Builder	setIsCommutative (valeur booléenne) True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
OpDef.Builder	setIsStateful (valeur booléenne) Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
OpDef.Builder	setName (valeur de chaîne) Op names starting with an underscore are reserved for internal use.
OpDef.Builder	setNameBytes (valeur com.google.protobuf.ByteString) Op names starting with an underscore are reserved for internal use.
OpDef.Builder	setOutputArg (index int, valeur OpDef.ArgDef ) Description of the output(s).
OpDef.Builder	setOutputArg (index int, OpDef.ArgDef.Builder builderForValue) Description of the output(s).
OpDef.Builder	setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)
OpDef.Builder	setSummary (valeur de chaîne) One-line human-readable description of what the Op does.
OpDef.Builder	setSummaryBytes (valeur com.google.protobuf.ByteString) One-line human-readable description of what the Op does.
OpDef.Builder final	setUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)

Méthodes héritées

De la classe java.lang.Object

booléen	est égal à (Objet arg0)
Classe finale<?>	obtenirClasse ()
int	Code de hachage ()
vide final	notifier ()
vide final	notifierTous ()
Chaîne	àChaîne ()
vide final	attendre (long arg0, int arg1)
vide final	attendez (long arg0)
vide final	attendez ()

Depuis l'interface org.tensorflow.proto.framework.OpDefOrBuilder

booléen abstrait	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
résumé OpDef.AttrDef	getAttr (index int) repeated .tensorflow.OpDef.AttrDef attr = 4;
entier abstrait	getAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4;
Liste abstraite< OpDef.AttrDef >	getAttrListe () repeated .tensorflow.OpDef.AttrDef attr = 4;
résumé OpDef.AttrDefOrBuilder	getAttrOrBuilder (index int) repeated .tensorflow.OpDef.AttrDef attr = 4;
Liste abstraite <? étend OpDef.AttrDefOrBuilder >	getAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
chaîne abstraite	getControlOutput (index int) Named control outputs for this operation.
résumé com.google.protobuf.ByteString	getControlOutputBytes (index int) Named control outputs for this operation.
entier abstrait	getControlOutputCount () Named control outputs for this operation.
Liste abstraite<String>	getControlOutputList () Named control outputs for this operation.
résumé OpDépréciation	getDépréciation () Optional deprecation based on GraphDef versions.
résumé OpDeprecationOrBuilder	getDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
chaîne abstraite	obtenirDescription () Additional, longer human-readable description of what the Op does.
résumé com.google.protobuf.ByteString	getDescriptionBytes () Additional, longer human-readable description of what the Op does.
résumé OpDef.ArgDef	getInputArg (index int) Description of the input(s).
entier abstrait	getInputArgCount () Description of the input(s).
Liste abstraite< OpDef.ArgDef >	getInputArgList () Description of the input(s).
résumé OpDef.ArgDefOrBuilder	getInputArgOrBuilder (index int) Description of the input(s).
Liste abstraite <? étend OpDef.ArgDefOrBuilder >	getInputArgOrBuilderList () Description of the input(s).
booléen abstrait	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
booléen abstrait	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
booléen abstrait	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
chaîne abstraite	obtenirNom () Op names starting with an underscore are reserved for internal use.
résumé com.google.protobuf.ByteString	getNameBytes () Op names starting with an underscore are reserved for internal use.
résumé OpDef.ArgDef	getOutputArg (index int) Description of the output(s).
entier abstrait	getOutputArgCount () Description of the output(s).
Liste abstraite< OpDef.ArgDef >	getOutputArgList () Description of the output(s).
résumé OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (index int) Description of the output(s).
Liste abstraite <? étend OpDef.ArgDefOrBuilder >	getOutputArgOrBuilderList () Description of the output(s).
chaîne abstraite	getRésumé () One-line human-readable description of what the Op does.
résumé com.google.protobuf.ByteString	getSummaryBytes () One-line human-readable description of what the Op does.
booléen abstrait	hasDépréciation () Optional deprecation based on GraphDef versions.

Méthodes publiques

public OpDef.Builder addAllAttr (Iterable<? étend OpDef.AttrDef > valeurs)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAllControlOutput (valeurs 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<? étend OpDef.ArgDef > valeurs)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addAllOutputArg (Iterable<? étend OpDef.ArgDef > valeurs)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (index int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (valeur OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (index int, valeur OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder (index int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addControlOutput (valeur de chaîne)

 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 addControlOutputBytes (valeur 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;

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

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addInputArg (index int, valeur OpDef.ArgDef )

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addInputArg (valeur OpDef.ArgDef )

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addInputArg (index int, OpDef.ArgDef.Builder builderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.ArgDef.Builder addInputArgBuilder ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.ArgDef.Builder addInputArgBuilder (index int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addOutputArg (index int, OpDef.ArgDef.Builder builderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

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

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder addOutputArg (index int, valeur OpDef.ArgDef )

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder addOutputArg (valeur OpDef.ArgDef )

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.ArgDef.Builder addOutputArgBuilder (index int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.ArgDef.Builder addOutputArgBuilder ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

version publique OpDef ()

public OpDef buildPartial ()

public OpDef.Builder clear ()

public 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;

public OpDef.Builder clearAttr ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public 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;

public OpDef.Builder clearDescription ()

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

string description = 6;

public OpDef.Builder clearField (champ com.google.protobuf.Descriptors.FieldDescriptor)

public OpDef.Builder clearInputArg ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public 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;

public 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;

public 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;

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

public 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;

clone public OpDef.Builder ()

public booléen getAllowsUninitializedInput ()

 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;

public OpDef.AttrDef getAttr (index int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder getAttrBuilder (index int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Liste publique < OpDef.AttrDef.Builder > getAttrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Liste publique < OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDefOrBuilder getAttrOrBuilder (index int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Liste publique <? étend OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

chaîne publique getControlOutput (index 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;

public com.google.protobuf.ByteString getControlOutputBytes (index 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;

public 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;

public 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;

public OpDef getDefaultInstanceForType ()

public OpDeprecation getDeprecation ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

public OpDeprecation.Builder getDeprecationBuilder ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

public OpDeprecationOrBuilder getDeprecationOrBuilder ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

chaîne publique getDescription ()

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

string description = 6;

public com.google.protobuf.ByteString getDescriptionBytes ()

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

string description = 6;

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

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

public OpDef.ArgDef getInputArg (index int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.ArgDef.Builder getInputArgBuilder (index int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Liste publique < OpDef.ArgDef.Builder > getInputArgBuilderList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public int getInputArgCount ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Liste publique < OpDef.ArgDef > getInputArgList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.ArgDefOrBuilder getInputArgOrBuilder (index int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Liste publique <? étend OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public booléen getIsAggregate ()

 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 booléen getIsCommutative ()

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

bool is_commutative = 18;

public booléen 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;

chaîne publique 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;

public 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;

public OpDef.ArgDef getOutputArg (index int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.ArgDef.Builder getOutputArgBuilder (index int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

Liste publique < OpDef.ArgDef.Builder > getOutputArgBuilderList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public int getOutputArgCount ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

Liste publique < OpDef.ArgDef > getOutputArgList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.ArgDefOrBuilder getOutputArgOrBuilder (index int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

Liste publique <? étend OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

chaîne publique getSummary ()

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

string summary = 5;

public com.google.protobuf.ByteString getSummaryBytes ()

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

string summary = 5;

public booléen hasDeprecation ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

public final booléen isInitialized ()

public OpDef.Builder mergeDeprecation (valeur OpDeprecation )

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

public OpDef.Builder mergeFrom (com.google.protobuf.Message autre)

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

Jetés

IOException

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

public OpDef.Builder removeAttr (index int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder removeInputArg (index int)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder removeOutputArg (index int)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder setAllowsUninitializedInput (valeur booléenne)

 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;

public OpDef.Builder setAttr (index int, valeur OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder setAttr (index int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder setControlOutput (index int, valeur de chaîne)

 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 setDeprecation ( OpDeprecation.Builder builderForValue)

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

public OpDef.Builder setDeprecation (valeur OpDeprecation )

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

public OpDef.Builder setDescription (valeur de chaîne)

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

string description = 6;

public OpDef.Builder setDescriptionBytes (valeur com.google.protobuf.ByteString)

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

string description = 6;

public OpDef.Builder setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

public OpDef.Builder setInputArg (index int, valeur OpDef.ArgDef )

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder setInputArg (index int, OpDef.ArgDef.Builder builderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder setIsAggregate (valeur booléenne)

 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 (valeur booléenne)

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

bool is_commutative = 18;

public OpDef.Builder setIsStateful (valeur booléenne)

 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;

public OpDef.Builder setName (valeur de chaîne)

 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;

public OpDef.Builder setNameBytes (valeur 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;

public OpDef.Builder setOutputArg (index int, valeur OpDef.ArgDef )

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder setOutputArg (index int, OpDef.ArgDef.Builder builderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)

public OpDef.Builder setSummary (valeur de chaîne)

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

string summary = 5;

public OpDef.Builder setSummaryBytes (valeur com.google.protobuf.ByteString)

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

string summary = 5;

public final OpDef.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)