OpDef.Builder

OpDef.Builder clase final estática pública

 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
tipo tensorflow.OpDef

Métodos públicos

OpDef.Builder
addAllAttr (Iterable <? extiende los valores de OpDef.AttrDef >)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAllControlOutput (valores <String> iterables )
 Named control outputs for this operation.
OpDef.Builder
addAllInputArg (Iterable <? extiende los valores de OpDef.ArgDef >)
 Description of the input(s).
OpDef.Builder
addAllOutputArg (Iterable <? extiende los valores de OpDef.ArgDef >)
 Description of the output(s).
OpDef.Builder
addAttr ( OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (índice int, 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 int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addControlOutput (valor de cadena)
 Named control outputs for this operation.
OpDef.Builder
addControlOutputBytes (valor de 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 (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 int)
 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 builderForValue)
 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 int)
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder ()
 Description of the output(s).
OpDef.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
OpDef
construir ()
OpDef
buildPartial ()
OpDef.Builder
claro ()
OpDef.Builder
clearAllowsUninitializedInput ()
 By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder
clearAttr ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
clearControlOutput ()
 Named control outputs for this operation.
OpDef.Builder
clearDeprecation ()
 Optional deprecation based on GraphDef versions.
OpDef.Builder
clearDescription ()
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
clearField (campo 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
clearName ()
 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
clearSummary ()
 One-line human-readable description of what the Op does.
OpDef.Builder
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;
En t
getAttrCount ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista < OpDef.AttrDef >
getAttrList ()
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;
Cuerda
getControlOutput (índice int)
 Named control outputs for this operation.
com.google.protobuf.ByteString
getControlOutputBytes (índice int)
 Named control outputs for this operation.
En t
getControlOutputCount ()
 Named control outputs for this operation.
com.google.protobuf.ProtocolStringList
getControlOutputList ()
 Named control outputs for this operation.
OpDef
getDefaultInstanceForType ()
OpDeprecation
getDeprecation ()
 Optional deprecation based on GraphDef versions.
OpDeprecation.Builder
getDeprecationBuilder ()
 Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder
getDeprecationOrBuilder ()
 Optional deprecation based on GraphDef versions.
Cuerda
getDescription ()
 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.
com.google.protobuf.Descriptors.Descriptor estático final
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
OpDef.ArgDef
getInputArg (índice int)
 Description of the input(s).
OpDef.ArgDef.Builder
getInputArgBuilder (índice int)
 Description of the input(s).
Lista < OpDef.ArgDef.Builder >
getInputArgBuilderList ()
 Description of the input(s).
En t
getInputArgCount ()
 Description of the input(s).
Lista < OpDef.ArgDef >
getInputArgList ()
 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.
Cuerda
getName ()
 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 (índice int)
 Description of the output(s).
OpDef.ArgDef.Builder
getOutputArgBuilder (índice int)
 Description of the output(s).
Lista < OpDef.ArgDef.Builder >
getOutputArgBuilderList ()
 Description of the output(s).
En t
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).
Cuerda
getSummary ()
 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
hasDeprecation ()
 Optional deprecation based on GraphDef versions.
booleano final
isInitialized ()
OpDef.Builder
mergeDeprecation (valor de OpDeprecation )
 Optional deprecation based on GraphDef versions.
OpDef.Builder
mergeFrom (com.google.protobuf.Message otro)
OpDef.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
OpDef.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
OpDef.Builder
removeAttr (índice int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
removeInputArg (índice int)
 Description of the input(s).
OpDef.Builder
removeOutputArg (índice int)
 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 int, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setControlOutput (índice int, valor de cadena)
 Named control outputs for this operation.
OpDef.Builder
setDeprecation ( OpDeprecation.Builder builderForValue)
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDeprecation (valor de OpDeprecation )
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDescription (valor de cadena)
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setDescriptionBytes (valor de com.google.protobuf.ByteString)
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del 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 de cadena)
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setNameBytes (valor de 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 del objeto)
OpDef.Builder
setSummary (valor de cadena)
 One-line human-readable description of what the Op does.
OpDef.Builder
setSummaryBytes (valor de com.google.protobuf.ByteString)
 One-line human-readable description of what the Op does.
OpDef.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

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 <String> iterables ) 

 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;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (valor OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public 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;

public OpDef.Builder addControlOutputBytes (valor de 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 (índice int, valor OpDef.ArgDef ) 

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

public OpDef.Builder addInputArg (valor OpDef.ArgDef ) 

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

public OpDef.Builder addInputArg (índice 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 (índice int) 

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

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

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

public OpDef.Builder addOutputArg (valor OpDef.ArgDef ) 

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

public OpDef.ArgDef.Builder addOutputArgBuilder (índice 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 (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

pública OpDef build ()

buildPartial OpDef público ()

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 (campo com.google.protobuf.Descriptors.FieldDescriptor)

public OpDef.Builder clearInputArg () 

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

public OpDef.Builder clearIsAggregate () 

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

public OpDef.Builder clearIsCommutative () 

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

public OpDef.Builder clearIsStateful () 

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

public OpDef.Builder clearName () 

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

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

public OpDef.Builder clearOutputArg () 

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

public OpDef.Builder clearSummary () 

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

clon de OpDef.Builder público ()

public boolean 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 (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder getAttrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista pública < OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDefOrBuilder getAttrOrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public String 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;

public 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;

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;

public String 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;

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

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

public OpDef.ArgDef getInputArg (índice int) 

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

public 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;

public 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;

public 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;

public boolean 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;

getIsCommutative () booleano público 

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

public boolean 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;

public String 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 (índice int) 

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

public 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;

public 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;

public 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;

getSummary de cadena pública () 

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

public com.google.protobuf.ByteString getSummaryBytes () 

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

public boolean hasDeprecation () 

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

public final boolean isInitialized ()

public OpDef.Builder mergeDeprecation (valor de OpDeprecation ) 

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

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

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

Lanza
IOException

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

public OpDef.Builder removeAttr (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder removeInputArg (índice int) 

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

public OpDef.Builder removeOutputArg (índice int) 

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

public 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;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public 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;

public OpDef.Builder setDeprecation ( OpDeprecation.Builder builderForValue) 

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

public 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;

public 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 del objeto)

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

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

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

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

public 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;

public OpDef.Builder setIsCommutative (valor booleano) 

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

public 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;

public 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;

public 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;

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

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

public OpDef.Builder setOutputArg (int index, 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 del objeto)

public OpDef.Builder setSummary (valor de cadena) 

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

public OpDef.Builder setSummaryBytes (valor de com.google.protobuf.ByteString) 

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

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