OpDef.Builder

classe 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.Builder
addAllAttr (Iterable<? estende OpDef.AttrDef > valores)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAllControlOutput (valores Iterable<String>)
 Named control outputs for this operation.
OpDef.Builder
addAllInputArg (Iterable<? estende OpDef.ArgDef > valores)
 Description of the input(s).
OpDef.Builder
addAllOutputArg (Iterable<? estende OpDef.ArgDef > valores)
 Description of the output(s).
OpDef.Builder
addAttr ( OpDef.AttrDef.Builder construtorForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (índice interno, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (valor OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (índice int, valor OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
addAttrBuilder ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
addAttrBuilder (índice interno)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addControlOutput (valor da string)
 Named control outputs for this operation.
OpDef.Builder
addControlOutputBytes (valor com.google.protobuf.ByteString)
 Named control outputs for this operation.
OpDef.Builder
addInputArg ( OpDef.ArgDef.Builder construtorForValue)
 Description of the input(s).
OpDef.Builder
addInputArg (índice int, valor OpDef.ArgDef )
 Description of the input(s).
OpDef.Builder
addInputArg (valor OpDef.ArgDef )
 Description of the input(s).
OpDef.Builder
addInputArg (índice int, OpDef.ArgDef.Builder builderForValue)
 Description of the input(s).
OpDef.ArgDef.Builder
addInputArgBuilder ()
 Description of the input(s).
OpDef.ArgDef.Builder
addInputArgBuilder (índice interno)
 Description of the input(s).
OpDef.Builder
addOutputArg (índice int, OpDef.ArgDef.Builder builderForValue)
 Description of the output(s).
OpDef.Builder
addOutputArg ( OpDef.ArgDef.Builder construtorForValue)
 Description of the output(s).
OpDef.Builder
addOutputArg (índice int, valor OpDef.ArgDef )
 Description of the output(s).
OpDef.Builder
addOutputArg (valor OpDef.ArgDef )
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder (índice interno)
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder ()
 Description of the output(s).
OpDef.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
OpDef
construir ()
OpDef
construirPartial ()
OpDef.Builder
claro ()
OpDef.Builder
clearAllowsUninitializedInput ()
 By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder
limparAttr ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
limparControlOutput ()
 Named control outputs for this operation.
OpDef.Builder
limparDepreciação ()
 Optional deprecation based on GraphDef versions.
OpDef.Builder
limparDescrição ()
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
OpDef.Builder
limparInputArg ()
 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
clearIsComutative ()
 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
limparNome ()
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor umof)
OpDef.Builder
clearOutputArg ()
 Description of the output(s).
OpDef.Builder
limpar Resumo ()
 One-line human-readable description of what the Op does.
OpDef.Builder
clonar ()
boleano
getAllowsUninitializedInput ()
 By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef
getAttr (índice interno)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
getAttrBuilder (índice interno)
repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista< OpDef.AttrDef.Builder >
getAttrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
interno
getAttrCount ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista< OpDef.AttrDef >
getAttrList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder
getAttrOrBuilder (índice interno)
repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista<? estende OpDef.AttrDefOrBuilder >
getAttrOrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
Corda
getControlOutput (índice interno)
 Named control outputs for this operation.
com.google.protobuf.ByteString
getControlOutputBytes (índice interno)
 Named control outputs for this operation.
interno
getControlOutputCount ()
 Named control outputs for this operation.
com.google.protobuf.ProtocolStringList
getControlOutputList ()
 Named control outputs for this operation.
OpDef
getDefaultInstanceForType ()
OpDepreciação
getDeprecation ()
 Optional deprecation based on GraphDef versions.
OpDeprecation.Builder
getDeprecationBuilder ()
 Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder
getDeprecationOrBuilder ()
 Optional deprecation based on GraphDef versions.
Corda
getDescrição ()
 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 estático com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
OpDef.ArgDef
getInputArg (índice interno)
 Description of the input(s).
OpDef.ArgDef.Builder
getInputArgBuilder (índice interno)
 Description of the input(s).
Lista< OpDef.ArgDef.Builder >
getInputArgBuilderList ()
 Description of the input(s).
interno
getInputArgCount ()
 Description of the input(s).
Lista< OpDef.ArgDef >
getInputArgList ()
 Description of the input(s).
OpDef.ArgDefOrBuilder
getInputArgOrBuilder (índice interno)
 Description of the input(s).
Lista<? estende OpDef.ArgDefOrBuilder >
getInputArgOrBuilderList ()
 Description of the input(s).
boleano
getIsAggregate ()
 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.
boleano
getIsCommutative ()
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
boleano
getIsStateful ()
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
Corda
getNome ()
 Op names starting with an underscore are reserved for internal use.
com.google.protobuf.ByteString
getNomeBytes ()
 Op names starting with an underscore are reserved for internal use.
OpDef.ArgDef
getOutputArg (índice interno)
 Description of the output(s).
OpDef.ArgDef.Builder
getOutputArgBuilder (índice interno)
 Description of the output(s).
Lista< OpDef.ArgDef.Builder >
getOutputArgBuilderList ()
 Description of the output(s).
interno
getOutputArgCount ()
 Description of the output(s).
Lista< OpDef.ArgDef >
getOutputArgList ()
 Description of the output(s).
OpDef.ArgDefOrBuilder
getOutputArgOrBuilder (índice interno)
 Description of the output(s).
Lista<? estende OpDef.ArgDefOrBuilder >
getOutputArgOrBuilderList ()
 Description of the output(s).
Corda
obter Resumo ()
 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.
boleano
hasDeprecation ()
 Optional deprecation based on GraphDef versions.
booleano final
éinicializado ()
OpDef.Builder
mergeDeprecation (valor OpDeprecation )
 Optional deprecation based on GraphDef versions.
OpDef.Builder
mergeFrom (com.google.protobuf.Message outro)
OpDef.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
OpDef.Builder final
mesclarUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)
OpDef.Builder
removeAttr (índice interno)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
removeInputArg (índice interno)
 Description of the input(s).
OpDef.Builder
removeOutputArg (índice interno)
 Description of the output(s).
OpDef.Builder
setAllowsUninitializedInput (valor booleano)
 By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder
setAttr (índice int, valor OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setAttr (índice interno, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setControlOutput (índice int, valor String)
 Named control outputs for this operation.
OpDef.Builder
setDeprecation ( OpDeprecation.Builder construtorForValue)
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDeprecation (valor OpDeprecation )
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDescription (valor da string)
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setDescriptionBytes (valor com.google.protobuf.ByteString)
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
OpDef.Builder
setInputArg (índice int, valor OpDef.ArgDef )
 Description of the input(s).
OpDef.Builder
setInputArg (índice int, OpDef.ArgDef.Builder builderForValue)
 Description of the input(s).
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.
OpDef.Builder
setIsCommutative (valor booleano)
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
OpDef.Builder
setIsStateful (valor booleano)
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
OpDef.Builder
setName (valor da string)
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setNameBytes (valor com.google.protobuf.ByteString)
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setOutputArg (índice int, valor OpDef.ArgDef )
 Description of the output(s).
OpDef.Builder
setOutputArg (índice int, OpDef.ArgDef.Builder builderForValue)
 Description of the output(s).
OpDef.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)
OpDef.Builder
setSummary (valor da string)
 One-line human-readable description of what the Op does.
OpDef.Builder
setSummaryBytes (valor com.google.protobuf.ByteString)
 One-line human-readable description of what the Op does.
OpDef.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)

Métodos herdados

Métodos Públicos

public OpDef.Builder addAllAttr (Iterable<? estende OpDef.AttrDef > valores)

repeated .tensorflow.OpDef.AttrDef attr = 4;

público 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<? estende OpDef.ArgDef > valores) 

 Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addAllOutputArg (Iterable<? estende OpDef.ArgDef > valores) 

 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 da 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;

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;

public OpDef.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

compilação OpDef pública ()

compilação OpDef públicaPartial ()

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;

público OpDef.Builder clearDeprecation () 

 Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;

público 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;

público 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;

público OpDef.Builder clearSummary ()

resumo da string

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

clone OpDef.Builder público ()

público booleano 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;

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<? estende OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

String 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 público getDefaultInstanceForType ()

OpDeprecation público 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;

String pública getDescrição () 

 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;

final estático público 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<? estende 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;

público booleano getIsCommutative () 

 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;

getIsStateful booleano público () 

 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;

String pública getNome () 

 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<? estende OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList () 

 Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;

String pública getSummary ()

resumo da string

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

público com.google.protobuf.ByteString getSummaryBytes ()

resumo da string

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

hasDeprecation booleano público () 

 Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;

público final booleano isInitialized ()

público OpDef.Builder mergeDeprecation (valor OpDeprecation ) 

 Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;

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

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

Lança
IOException

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

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 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;

público OpDef.Builder setDeprecation ( OpDeprecation.Builder builderForValue) 

 Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;

público OpDef.Builder setDeprecation (valor OpDeprecation ) 

 Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;

público OpDef.Builder setDescription (valor da string) 

 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;

public OpDef.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do 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 da string) 

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
string name = 1;

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;

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

público OpDef.Builder setSummary (valor da string) 

 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 desconhecidoFields)