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

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 ()

résumé de la chaîne

 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 ()

résumé de la chaîne

 One-line human-readable description of what the Op does.
string summary = 5;

public com.google.protobuf.ByteString getSummaryBytes ()

résumé de la chaîne

 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)

résumé de la chaîne

 One-line human-readable description of what the Op does.
string summary = 5;

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

résumé de la chaîne

 One-line human-readable description of what the Op does.
string summary = 5;

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