OpDef.Builder

clase final estática pública OpDef.Builder

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

Métodos públicos

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

Métodos heredados

Métodos públicos

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAllControlOutput (valores Iterable<String>)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 
repeated string control_output = 20;

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

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

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

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

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder addAttr (valor OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.AttrDef.Builder addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.AttrDef.Builder addAttrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder addControlOutput (valor de cadena)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 
repeated string control_output = 20;

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

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 
repeated string control_output = 20;

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

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

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

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

público OpDef.Builder addInputArg (valor OpDef.ArgDef )

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

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

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

público OpDef.ArgDef.Builder addInputArgBuilder ()

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

público OpDef.ArgDef.Builder addInputArgBuilder (índice int)

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

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

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

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

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

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

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

público OpDef.Builder addOutputArg (valor OpDef.ArgDef )

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

público OpDef.ArgDef.Builder addOutputArgBuilder (índice int)

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

público OpDef.ArgDef.Builder addOutputArgBuilder ()

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

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

compilación pública de OpDef ()

compilación pública OpDefPartial ()

público OpDef.Builder claro ()

público OpDef.Builder clearAllowsUninitializedInput ()

 By default, all inputs to an Op must be initialized Tensors.  Ops
 that may initialize tensors for the first time should set this
 field to true, to allow the Op to take an uninitialized Tensor as
 input.
 
bool allows_uninitialized_input = 19;

público OpDef.Builder clearAttr ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder clearControlOutput ()

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 
repeated string control_output = 20;

public OpDef.Builder clearDeprecation ()

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

pública OpDef.Builder clearDescription ()

 Additional, longer human-readable description of what the Op does.
 
string description = 6;

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

público OpDef.Builder clearInputArg ()

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

público OpDef.Builder clearIsAggregate ()

 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.  Should be
 associative and commutative, and produce output with the same
 shape as the input.  The optimizer may replace an aggregate op
 taking input from multiple devices with a tree of aggregate ops
 that aggregate locally within each device (and possibly within
 groups of nearby devices) before communicating.
 TODO(josh11b): Implement that optimization.
 
bool is_aggregate = 16;

public OpDef.Builder clearIsCommutative ()

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

público OpDef.Builder clearIsStateful ()

 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g. variable reading op) or if they have
 a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
 must always produce the same output for the same input and have
 no side-effects.
 By default Ops may be moved between devices.  Stateful ops should
 either not be moved, or should only be moved if that state can also
 be moved (e.g. via some sort of save / restore).
 Stateful ops are guaranteed to never be optimized away by Common
 Subexpression Elimination (CSE).
 
bool is_stateful = 17;

público OpDef.Builder clearName ()

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

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

público OpDef.Builder clearOutputArg ()

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

public OpDef.Builder clearSummary ()

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

clon público de OpDef.Builder ()

getAllowsUninitializedInput booleano público ()

 By default, all inputs to an Op must be initialized Tensors.  Ops
 that may initialize tensors for the first time should set this
 field to true, to allow the Op to take an uninitialized Tensor as
 input.
 
bool allows_uninitialized_input = 19;

público OpDef.AttrDef getAttr (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.AttrDef.Builder getAttrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

público int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista pública< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.AttrDefOrBuilder getAttrOrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

cadena pública getControlOutput (índice int)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 
repeated string control_output = 20;

público com.google.protobuf.ByteString getControlOutputBytes (índice int)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 
repeated string control_output = 20;

público int getControlOutputCount ()

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 
repeated string control_output = 20;

público com.google.protobuf.ProtocolStringList getControlOutputList ()

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 
repeated string control_output = 20;

OpDef pública getDefaultInstanceForType ()

public OpDeprecation getDeprecation ()

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

público OpDeprecation.Builder getDeprecationBuilder ()

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

público OpDeprecationOrBuilder getDeprecationOrBuilder ()

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

cadena pública getDescription ()

 Additional, longer human-readable description of what the Op does.
 
string description = 6;

público com.google.protobuf.ByteString getDescriptionBytes ()

 Additional, longer human-readable description of what the Op does.
 
string description = 6;

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

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

público OpDef.ArgDef getInputArg (índice int)

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

público OpDef.ArgDef.Builder getInputArgBuilder (índice int)

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

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

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

público int getInputArgCount ()

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

Lista pública< OpDef.ArgDef > getInputArgList ()

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

público OpDef.ArgDefOrBuilder getInputArgOrBuilder (índice int)

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

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

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

getIsAggregate booleano público ()

 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.  Should be
 associative and commutative, and produce output with the same
 shape as the input.  The optimizer may replace an aggregate op
 taking input from multiple devices with a tree of aggregate ops
 that aggregate locally within each device (and possibly within
 groups of nearby devices) before communicating.
 TODO(josh11b): Implement that optimization.
 
bool is_aggregate = 16;

getIsCommutative booleano público ()

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

getIsStateful público booleano ()

 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g. variable reading op) or if they have
 a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
 must always produce the same output for the same input and have
 no side-effects.
 By default Ops may be moved between devices.  Stateful ops should
 either not be moved, or should only be moved if that state can also
 be moved (e.g. via some sort of save / restore).
 Stateful ops are guaranteed to never be optimized away by Common
 Subexpression Elimination (CSE).
 
bool is_stateful = 17;

cadena pública getName ()

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

público com.google.protobuf.ByteString getNameBytes ()

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

público OpDef.ArgDef getOutputArg (índice int)

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

público OpDef.ArgDef.Builder getOutputArgBuilder (índice int)

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

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

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

público int getOutputArgCount ()

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

Lista pública< OpDef.ArgDef > getOutputArgList ()

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

público OpDef.ArgDefOrBuilder getOutputArgOrBuilder (índice int)

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

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

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

cadena pública getSummary ()

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

público com.google.protobuf.ByteString getSummaryBytes ()

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

hasDeprecation público booleano ()

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

público final booleano isInitialized ()

public OpDef.Builder mergeDeprecation (valor de OpDeprecation )

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

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

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

Lanza
IOExcepción

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

público OpDef.Builder removeAttr (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

público OpDef.Builder removeInputArg (índice int)

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

público OpDef.Builder removeOutputArg (índice int)

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

público OpDef.Builder setAllowsUninitializedInput (valor booleano)

 By default, all inputs to an Op must be initialized Tensors.  Ops
 that may initialize tensors for the first time should set this
 field to true, to allow the Op to take an uninitialized Tensor as
 input.
 
bool allows_uninitialized_input = 19;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 
repeated string control_output = 20;

público OpDef.Builder setDeprecation ( OpDeprecation.Builder builderForValue)

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

público OpDef.Builder setDeprecation (valor de OpDeprecation )

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

public OpDef.Builder setDescription (valor de cadena)

 Additional, longer human-readable description of what the Op does.
 
string description = 6;

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

 Additional, longer human-readable description of what the Op does.
 
string description = 6;

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

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

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

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

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

público OpDef.Builder setIsAggregate (valor booleano)

 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.  Should be
 associative and commutative, and produce output with the same
 shape as the input.  The optimizer may replace an aggregate op
 taking input from multiple devices with a tree of aggregate ops
 that aggregate locally within each device (and possibly within
 groups of nearby devices) before communicating.
 TODO(josh11b): Implement that optimization.
 
bool is_aggregate = 16;

público OpDef.Builder setIsCommutative (valor booleano)

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

público OpDef.Builder setIsStateful (valor booleano)

 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g. variable reading op) or if they have
 a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
 must always produce the same output for the same input and have
 no side-effects.
 By default Ops may be moved between devices.  Stateful ops should
 either not be moved, or should only be moved if that state can also
 be moved (e.g. via some sort of save / restore).
 Stateful ops are guaranteed to never be optimized away by Common
 Subexpression Elimination (CSE).
 
bool is_stateful = 17;

público OpDef.Builder setName (valor de cadena)

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

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

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

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

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

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

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

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

público OpDef.Builder setSummary (valor de cadena)

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

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

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

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