OpDefOrBuilder

interfaz pública OpDefOrBuilder
Subclases indirectas conocidas

Métodos públicos

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

Métodos públicos

getAllowsUninitializedInput booleano abstracto 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;

resumen público OpDef.AttrDef getAttr (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

resumen público int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista abstracta pública< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

resumen público OpDef.AttrDefOrBuilder getAttrOrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista de resúmenes públicos <? extiende OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Cadena abstracta 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;

resumen 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;

resumen 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;

Lista abstracta pública<Cadena> 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;

resumen público OpDeprecation getDeprecation ()

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

resumen público OpDeprecationOrBuilder getDeprecationOrBuilder ()

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

Cadena abstracta pública getDescription ()

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

resumen público com.google.protobuf.ByteString getDescriptionBytes ()

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

resumen público OpDef.ArgDef getInputArg (índice int)

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

resumen público int getInputArgCount ()

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

Lista abstracta pública< OpDef.ArgDef > getInputArgList ()

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

resumen público OpDef.ArgDefOrBuilder getInputArgOrBuilder (índice int)

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

Lista de resúmenes públicos <? extiende OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

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

getIsAggregate booleano abstracto 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 abstracto público ()

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

getIsStateful booleano abstracto 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;

Cadena abstracta 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;

resumen 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;

resumen público OpDef.ArgDef getOutputArg (índice int)

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

resumen público int getOutputArgCount ()

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

Lista abstracta pública< OpDef.ArgDef > getOutputArgList ()

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

resumen público OpDef.ArgDefOrBuilder getOutputArgOrBuilder (índice int)

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

Lista de resúmenes públicos <? extiende OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList ()

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

Cadena abstracta pública getSummary ()

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

resumen público com.google.protobuf.ByteString getSummaryBytes ()

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

hasDeprecation booleano abstracto público ()

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