OpDef.Builder

classe finale statica pubblica 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
Tipo di protocollo tensorflow.OpDef

Metodi pubblici

OpDef.Builder
addAllAttr (Iterable<? estende i valori OpDef.AttrDef >)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAllControlOutput (valori Iterable<String>) 
 Named control outputs for this operation.
OpDef.Builder
addAllInputArg (Iterable<? estende i valori OpDef.ArgDef >) 
 Description of the input(s).
OpDef.Builder
addAllOutputArg (Iterable<? estende i valori OpDef.ArgDef >) 
 Description of the output(s).
OpDef.Builder
addAttr ( OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (indice int, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (valore OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (indice int, valore OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
addAttrBuilder ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
addAttrBuilder (indice int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addControlOutput (valore stringa) 
 Named control outputs for this operation.
OpDef.Builder
addControlOutputBytes (valore 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 (indice int, valore OpDef.ArgDef ) 
 Description of the input(s).
OpDef.Builder
addInputArg (valore OpDef.ArgDef ) 
 Description of the input(s).
OpDef.Builder
addInputArg (indice int, OpDef.ArgDef.Builder builderForValue) 
 Description of the input(s).
OpDef.ArgDef.Builder
addInputArgBuilder () 
 Description of the input(s).
OpDef.ArgDef.Builder
addInputArgBuilder (indice int) 
 Description of the input(s).
OpDef.Builder
addOutputArg (indice 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 (indice int, valore OpDef.ArgDef ) 
 Description of the output(s).
OpDef.Builder
addOutputArg (valore OpDef.ArgDef ) 
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder (indice int) 
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder () 
 Description of the output(s).
OpDef.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
OpDef
costruire ()
OpDef
buildPartial ()
OpDef.Builder
chiaro ()
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
clearDescrizione () 
 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
nomechiaro () 
 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
cancellaRiepilogo () 
 One-line human-readable description of what the Op does.
OpDef.Builder
clone ()
booleano
getAllowsUninitializedInput () 
 By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef
getAttr (indice int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
getAttrBuilder (indice int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
Elenco< OpDef.AttrDef.Builder >
getAttrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
int
getAttrCount ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
Elenco< OpDef.AttrDef >
getAttrList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder
getAttrOrBuilder (indice int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
Elenco<? estende OpDef.AttrDefOrBuilder >
getAttrOrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
Corda
getControlOutput (indice int) 
 Named control outputs for this operation.
com.google.protobuf.ByteString
getControlOutputBytes (indice int) 
 Named control outputs for this operation.
int
getControlOutputCount () 
 Named control outputs for this operation.
com.google.protobuf.ProtocolStringList
getControlOutputList () 
 Named control outputs for this operation.
OpDef
getDefaultInstanceForType ()
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.
Corda
getDescrizione () 
 Additional, longer human-readable description of what the Op does.
com.google.protobuf.ByteString
getDescrizioneBytes () 
 Additional, longer human-readable description of what the Op does.
com.google.protobuf.Descriptors.Descriptor statico finale
getDescrittore ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
OpDef.ArgDef
getInputArg (indice int) 
 Description of the input(s).
OpDef.ArgDef.Builder
getInputArgBuilder (indice int) 
 Description of the input(s).
Elenco< OpDef.ArgDef.Builder >
getInputArgBuilderList () 
 Description of the input(s).
int
getInputArgCount () 
 Description of the input(s).
Elenco< OpDef.ArgDef >
getInputArgList () 
 Description of the input(s).
OpDef.ArgDefOrBuilder
getInputArgOrBuilder (indice int) 
 Description of the input(s).
Elenco<? estende 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.
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 (indice int) 
 Description of the output(s).
OpDef.ArgDef.Builder
getOutputArgBuilder (indice int) 
 Description of the output(s).
Elenco< OpDef.ArgDef.Builder >
getOutputArgBuilderList () 
 Description of the output(s).
int
getOutputArgCount () 
 Description of the output(s).
Elenco< OpDef.ArgDef >
getOutputArgList () 
 Description of the output(s).
OpDef.ArgDefOrBuilder
getOutputArgOrBuilder (indice int) 
 Description of the output(s).
Elenco<? estende OpDef.ArgDefOrBuilder >
getOutputArgOrBuilderList () 
 Description of the output(s).
Corda
getRiepilogo () 
 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 finale
èinizializzato ()
OpDef.Builder
mergeDeprecation (valore OpDeprecation ) 
 Optional deprecation based on GraphDef versions.
OpDef.Builder
mergeFrom (com.google.protobuf.Message altro)
OpDef.Builder
mergeFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
OpDef.Builder finale
mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
OpDef.Builder
rimuoviAttr (indice int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
rimuoviInputArg (indice int) 
 Description of the input(s).
OpDef.Builder
rimuoviOutputArg (indice int) 
 Description of the output(s).
OpDef.Builder
setAllowsUninitializedInput (valore booleano) 
 By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder
setAttr (indice int, valore OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setAttr (indice int, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setControlOutput (indice int, valore stringa) 
 Named control outputs for this operation.
OpDef.Builder
setDeprecation ( OpDeprecation.Builder builderForValue) 
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDeprecation (valore OpDeprecation ) 
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDescription (valore stringa) 
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setDescriptionBytes (valore com.google.protobuf.ByteString) 
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
OpDef.Builder
setInputArg (indice int, valore OpDef.ArgDef ) 
 Description of the input(s).
OpDef.Builder
setInputArg (indice int, OpDef.ArgDef.Builder builderForValue) 
 Description of the input(s).
OpDef.Builder
setIsAggregate (valore 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 (valore booleano)
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
OpDef.Builder
setIsStateful (valore booleano) 
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
OpDef.Builder
setName (valore stringa) 
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setNameBytes (valore com.google.protobuf.ByteString) 
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setOutputArg (indice int, valore OpDef.ArgDef ) 
 Description of the output(s).
OpDef.Builder
setOutputArg (indice int, OpDef.ArgDef.Builder builderForValue) 
 Description of the output(s).
OpDef.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)
OpDef.Builder
setSummary (valore stringa) 
 One-line human-readable description of what the Op does.
OpDef.Builder
setSummaryBytes (valore com.google.protobuf.ByteString) 
 One-line human-readable description of what the Op does.
OpDef.Builder finale
setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

Metodi ereditati

Metodi pubblici

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAllControlOutput (valori 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 i valori OpDef.ArgDef >) 

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

public OpDef.Builder addAllOutputArg (Iterable<? estende i valori 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 (indice int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (valore OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (indice int, valore OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder (indice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addControlOutput (valore stringa) 

 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 (valore 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 (indice int, valore OpDef.ArgDef ) 

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

public OpDef.Builder addInputArg (valore OpDef.ArgDef ) 

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

public OpDef.Builder addInputArg (indice 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 (indice int) 

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

public OpDef.Builder addOutputArg (indice 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 (indice int, valore OpDef.ArgDef ) 

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

public OpDef.Builder addOutputArg (valore OpDef.ArgDef ) 

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

public OpDef.ArgDef.Builder addOutputArgBuilder (indice 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, valore oggetto)

build OpDef pubblica ()

public OpDef buildPartial ()

pubblico OpDef.Builder chiaro ()

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)

pubblico 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;

clone pubblico di OpDef.Builder ()

pubblico 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;

public OpDef.AttrDef getAttr (indice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder getAttrBuilder (indice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Elenco pubblico< OpDef.AttrDef.Builder > getAttrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Elenco pubblico< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDefOrBuilder getAttrOrBuilder (indice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Elenco pubblico<? estende OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public String getControlOutput (indice 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;

pubblico com.google.protobuf.ByteString getControlOutputBytes (indice 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;

pubblico 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;

pubblico 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;

stringa pubblica getDescription () 

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

pubblico com.google.protobuf.ByteString getDescriptionBytes () 

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

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

public OpDef.ArgDef getInputArg (indice int) 

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

public OpDef.ArgDef.Builder getInputArgBuilder (indice int) 

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

Elenco pubblico< 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;

Elenco pubblico< OpDef.ArgDef > getInputArgList () 

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

public OpDef.ArgDefOrBuilder getInputArgOrBuilder (indice int) 

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

Elenco pubblico<? estende OpDef.ArgDefOrBuilder > getInputArgOrBuilderList () 

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

pubblico booleano 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;

pubblico booleano getIsCommutative () 

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

pubblico booleano 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;

stringa pubblica 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;

pubblico 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 (indice int) 

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

public OpDef.ArgDef.Builder getOutputArgBuilder (indice int) 

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

Elenco pubblico< 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;

Elenco pubblico< OpDef.ArgDef > getOutputArgList () 

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

public OpDef.ArgDefOrBuilder getOutputArgOrBuilder (indice int) 

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

Elenco pubblico<? estende OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList () 

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

public String getSummary () 

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

pubblico com.google.protobuf.ByteString getSummaryBytes () 

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

booleano pubblico hasDeprecation () 

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

public final booleano isInitialized ()

public OpDef.Builder mergeDeprecation (valore OpDeprecation ) 

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

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

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

Lancia
IOException

public final OpDef.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

public OpDef.Builder rimuoviAttr (indice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder rimuoviInputArg (indice int) 

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

public OpDef.Builder rimuoviOutputArg (indice int) 

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

public OpDef.Builder setAllowsUninitializedInput (valore 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 (indice int, valore OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder setControlOutput (indice int, valore stringa) 

 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 (valore OpDeprecation ) 

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

public OpDef.Builder setDescription (valore stringa) 

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

OpDef.Builder pubblico setDescriptionBytes (valore 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, valore oggetto)

public OpDef.Builder setInputArg (indice int, valore OpDef.ArgDef ) 

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

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

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

public OpDef.Builder setIsAggregate (valore 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 (valore booleano) 

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

public OpDef.Builder setIsStateful (valore 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 (valore stringa) 

 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;

pubblico OpDef.Builder setNameBytes (valore 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 (indice int, valore OpDef.ArgDef ) 

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

public OpDef.Builder setOutputArg (indice 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, indice int, valore oggetto)

public OpDef.Builder setSummary (valore stringa) 

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

pubblico OpDef.Builder setSummaryBytes (valore com.google.protobuf.ByteString) 

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

pubblico finale OpDef.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)