OpDef.Builder

OpDef.Builder kelas akhir statis publik

 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
 
Tipe protobuf tensorflow.OpDef

Metode Publik

OpDef.Builder
addAllAttr (Nilai Iterable<? extends OpDef.AttrDef >)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAllControlOutput (nilai<String> yang dapat diubah)
 Named control outputs for this operation.
OpDef.Builder
addAllInputArg (Nilai Iterable<? extends OpDef.ArgDef >)
 Description of the input(s).
OpDef.Builder
addAllOutputArg (Nilai Iterable<? extends OpDef.ArgDef >)
 Description of the output(s).
OpDef.Builder
addAttr ( OpDef.AttrDef.Builder pembangunForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (indeks int, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr ( nilai OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (indeks int, nilai OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
tambahkanAttrBuilder ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
addAttrBuilder (indeks int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addControlOutput (Nilai string)
 Named control outputs for this operation.
OpDef.Builder
addControlOutputBytes (nilai com.google.protobuf.ByteString)
 Named control outputs for this operation.
OpDef.Builder
addInputArg ( OpDef.ArgDef.Pembuat BuilderForValue)
 Description of the input(s).
OpDef.Builder
addInputArg (indeks int, nilai OpDef.ArgDef )
 Description of the input(s).
OpDef.Builder
addInputArg ( nilai OpDef.ArgDef )
 Description of the input(s).
OpDef.Builder
addInputArg (indeks int, OpDef.ArgDef.Builder builderForValue)
 Description of the input(s).
OpDef.ArgDef.Builder
tambahkanInputArgBuilder ()
 Description of the input(s).
OpDef.ArgDef.Builder
addInputArgBuilder (indeks int)
 Description of the input(s).
OpDef.Builder
addOutputArg (indeks int, OpDef.ArgDef.Builder builderForValue)
 Description of the output(s).
OpDef.Builder
addOutputArg ( OpDef.ArgDef.Pembuat BuilderForValue)
 Description of the output(s).
OpDef.Builder
addOutputArg (indeks int, nilai OpDef.ArgDef )
 Description of the output(s).
OpDef.Builder
addOutputArg ( nilai OpDef.ArgDef )
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder (indeks int)
 Description of the output(s).
OpDef.ArgDef.Builder
tambahkanOutputArgBuilder ()
 Description of the output(s).
OpDef.Builder
addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
OpDef
OpDef
OpDef.Builder
jernih ()
OpDef.Builder
clearAllowsUninitializedInput ()
 By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder
hapusAttr ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
hapusKontrolOutput ()
 Named control outputs for this operation.
OpDef.Builder
penghapusan yang jelas ()
 Optional deprecation based on GraphDef versions.
OpDef.Builder
jelasDeskripsi ()
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
OpDef.Builder
hapusInputArg ()
 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
nama jelas ()
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
OpDef.Builder
hapusOutputArg ()
 Description of the output(s).
OpDef.Builder
jelasRingkasan ()
 One-line human-readable description of what the Op does.
OpDef.Builder
klon ()
boolean
getAllowsUninitializedInput ()
 By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef
getAttr (indeks int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
getAttrBuilder (indeks int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
Daftar< OpDef.AttrDef.Builder >
dapatkanAttrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
ke dalam
dapatkanAttrCount ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
Daftar< OpDef.AttrDef >
dapatkanAttrList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder
getAttrOrBuilder (indeks int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
Daftar<? memperluas OpDef.AttrDefOrBuilder >
dapatkanAttrOrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
Rangkaian
getControlOutput (indeks int)
 Named control outputs for this operation.
com.google.protobuf.ByteString
getControlOutputBytes (indeks int)
 Named control outputs for this operation.
ke dalam
dapatkanControlOutputCount ()
 Named control outputs for this operation.
com.google.protobuf.ProtocolStringList
dapatkanControlOutputList ()
 Named control outputs for this operation.
OpDef
Penghentian Op
dapatkan Penghentian ()
 Optional deprecation based on GraphDef versions.
OpDeprecation.Builder
dapatkanDeprecationBuilder ()
 Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder
dapatkanDeprecationOrBuilder ()
 Optional deprecation based on GraphDef versions.
Rangkaian
dapatkanDeskripsi ()
 Additional, longer human-readable description of what the Op does.
com.google.protobuf.ByteString
dapatkanDeskripsiBytes ()
 Additional, longer human-readable description of what the Op does.
com.google.protobuf.Descriptors.Descriptor statis terakhir
com.google.protobuf.Descriptors.Descriptor
OpDef.ArgDef
getInputArg (indeks int)
 Description of the input(s).
OpDef.ArgDef.Builder
getInputArgBuilder (indeks int)
 Description of the input(s).
Daftar< OpDef.ArgDef.Builder >
dapatkanInputArgBuilderList ()
 Description of the input(s).
ke dalam
dapatkanInputArgCount ()
 Description of the input(s).
Daftar< OpDef.ArgDef >
dapatkanInputArgList ()
 Description of the input(s).
OpDef.ArgDefOrBuilder
getInputArgOrBuilder (indeks int)
 Description of the input(s).
Daftar<? memperluas OpDef.ArgDefOrBuilder >
dapatkanInputArgOrBuilderList ()
 Description of the input(s).
boolean
getIsAggregate ()
 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.
boolean
getIsCommutative ()
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
 
bool is_commutative = 18;
boolean
getIsStateful ()
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
Rangkaian
dapatkan Nama ()
 Op names starting with an underscore are reserved for internal use.
com.google.protobuf.ByteString
dapatkanNamaBytes ()
 Op names starting with an underscore are reserved for internal use.
OpDef.ArgDef
getOutputArg (indeks int)
 Description of the output(s).
OpDef.ArgDef.Builder
getOutputArgBuilder (indeks int)
 Description of the output(s).
Daftar< OpDef.ArgDef.Builder >
dapatkanOutputArgBuilderList ()
 Description of the output(s).
ke dalam
dapatkanOutputArgCount ()
 Description of the output(s).
Daftar< OpDef.ArgDef >
dapatkanOutputArgList ()
 Description of the output(s).
OpDef.ArgDefOrBuilder
getOutputArgOrBuilder (indeks int)
 Description of the output(s).
Daftar<? memperluas OpDef.ArgDefOrBuilder >
dapatkanOutputArgOrBuilderList ()
 Description of the output(s).
Rangkaian
dapatkan Ringkasan ()
 One-line human-readable description of what the Op does.
com.google.protobuf.ByteString
dapatkanSummaryBytes ()
 One-line human-readable description of what the Op does.
boolean
sudah tidak digunakan lagi ()
 Optional deprecation based on GraphDef versions.
boolean terakhir
OpDef.Builder
mergeDeprecation (nilai OpDeprecation )
 Optional deprecation based on GraphDef versions.
OpDef.Builder
mergeFrom (com.google.protobuf.Pesan lainnya)
OpDef.Builder
mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
OpDef.Builder terakhir
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
OpDef.Builder
hapusAttr (indeks int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
hapusInputArg (indeks int)
 Description of the input(s).
OpDef.Builder
hapusOutputArg (indeks int)
 Description of the output(s).
OpDef.Builder
setAllowsUninitializedInput (nilai boolean)
 By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder
setAttr (indeks int, nilai OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setAttr (indeks int, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setControlOutput (indeks int, nilai String)
 Named control outputs for this operation.
OpDef.Builder
setDeprecation ( OpDeprecation.Pembuat pembangunForValue)
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDeprecation (nilai OpDeprecation )
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDescription (Nilai string)
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setDescriptionBytes (nilai com.google.protobuf.ByteString)
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
OpDef.Builder
setInputArg (indeks int, nilai OpDef.ArgDef )
 Description of the input(s).
OpDef.Builder
setInputArg (indeks int, OpDef.ArgDef.Builder builderForValue)
 Description of the input(s).
OpDef.Builder
setIsAggregate (nilai boolean)
 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.
OpDef.Builder
setIsCommutative (nilai boolean)
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
 
bool is_commutative = 18;
OpDef.Builder
setIsStateful (nilai boolean)
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
OpDef.Builder
setName (Nilai string)
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setNameBytes (nilai com.google.protobuf.ByteString)
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setOutputArg (indeks int, nilai OpDef.ArgDef )
 Description of the output(s).
OpDef.Builder
setOutputArg (indeks int, OpDef.ArgDef.Builder builderForValue)
 Description of the output(s).
OpDef.Builder
setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
OpDef.Builder
setSummary (Nilai string)
 One-line human-readable description of what the Op does.
OpDef.Builder
setSummaryBytes (nilai com.google.protobuf.ByteString)
 One-line human-readable description of what the Op does.
OpDef.Builder terakhir
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Metode Warisan

Metode Publik

public OpDef.Builder addAllAttr (Nilai Iterable<? extends OpDef.AttrDef >)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAllControlOutput (nilai<String> yang dapat diubah)

 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 (Nilai Iterable<? extends OpDef.ArgDef >)

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

public OpDef.Builder addAllOutputArg (Nilai Iterable<? extends OpDef.ArgDef >)

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

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder addAttr publik (indeks int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

addAttr OpDef.Builder publik (nilai OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

publik OpDef.Builder addAttr (indeks int, nilai OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.AttrDef.Builder publik addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.AttrDef.Builder publik addAttrBuilder (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addControlOutput (Nilai 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;

publik OpDef.Builder addControlOutputBytes (nilai 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;

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

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

publik OpDef.Builder addInputArg (indeks int, nilai OpDef.ArgDef )

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

publik OpDef.Builder addInputArg (nilai OpDef.ArgDef )

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

OpDef.Builder addInputArg publik (indeks int, OpDef.ArgDef.Builder builderForValue)

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

OpDef.ArgDef.Builder publik addInputArgBuilder ()

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

OpDef.ArgDef.Builder publik addInputArgBuilder (indeks int)

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

OpDef.Builder addOutputArg publik (indeks int, OpDef.ArgDef.Builder builderForValue)

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

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

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

publik OpDef.Builder addOutputArg (indeks int, nilai OpDef.ArgDef )

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

publik OpDef.Builder addOutputArg ( nilai OpDef.ArgDef )

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

OpDef.ArgDef.Builder publik addOutputArgBuilder (indeks int)

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

OpDef.ArgDef.Builder publik addOutputArgBuilder ()

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

public OpDef.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

build OpDef publik ()

build OpDef publikPartial ()

OpDef.Builder publik jelas ()

OpDef.Builder publik 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;

OpDef publik.Builder clearAttr ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder publik 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;

OpDef.Builder publik clearDeprecation ()

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

OpDef.Builder publik clearDescription ()

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

OpDef.Builder clearField publik (bidang com.google.protobuf.Descriptors.FieldDescriptor)

OpDef.Builder publik clearInputArg ()

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

OpDef.Builder publik 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;

OpDef.Builder publik clearIsCommutative ()

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

OpDef.Builder publik 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;

OpDef publik.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;

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

OpDef.Builder publik clearOutputArg ()

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

OpDef.Builder publik clearSummary ()

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

klon OpDef.Builder publik ()

getAllowsUninitializedInput boolean publik ()

 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;

OpDef.AttrDef publik getAttr (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.AttrDef.Builder publik getAttrBuilder (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Daftar publik< OpDef.AttrDef.Builder > getAttrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

int publik getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Daftar publik< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.AttrDefOrBuilder publik getAttrOrBuilder (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Daftar Publik<? memperluas OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

String publik getControlOutput (indeks 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;

publik com.google.protobuf.ByteString getControlOutputBytes (indeks 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;

int publik 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;

com.google.protobuf.ProtocolStringList getControlOutputList () publik

 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 publik getDefaultInstanceForType ()

OpDeprecation publik getDeprecation ()

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

OpDeprecation.Builder publik getDeprecationBuilder ()

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

OpDeprecationOrBuilder publik getDeprecationOrBuilder ()

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

GetDeskripsi String publik ()

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

com.google.protobuf.ByteString publik getDescriptionBytes ()

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

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

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

OpDef.ArgDef publik getInputArg (indeks int)

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

OpDef.ArgDef.Builder publik getInputArgBuilder (indeks int)

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

Daftar publik< OpDef.ArgDef.Builder > getInputArgBuilderList ()

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

int publik getInputArgCount ()

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

Daftar publik< OpDef.ArgDef > getInputArgList ()

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

OpDef.ArgDefOrBuilder publik getInputArgOrBuilder (indeks int)

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

Daftar Publik<? memperluas OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

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

getIsAggregate boolean publik ()

 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;

boolean publik getIsCommutative ()

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

boolean publik 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;

GetName String publik ()

 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;

publik 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;

OpDef.ArgDef publik getOutputArg (indeks int)

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

OpDef.ArgDef.Builder publik getOutputArgBuilder (indeks int)

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

Daftar publik< OpDef.ArgDef.Builder > getOutputArgBuilderList ()

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

int publik getOutputArgCount ()

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

Daftar publik< OpDef.ArgDef > getOutputArgList ()

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

OpDef.ArgDefOrBuilder publik getOutputArgOrBuilder (int indeks)

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

Daftar Publik<? memperluas OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList ()

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

String publik getSummary ()

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

publik com.google.protobuf.ByteString getSummaryBytes ()

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

boolean publik hasDeprecation ()

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

boolean akhir publik diinisialisasi ()

Penggabungan OpDef.Builder publik (nilai OpDeprecation )

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

OpDef.Builder mergeFrom publik (com.google.protobuf.Message lainnya)

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

Melempar
Pengecualian IO

OpDef.Builder akhir publik menggabungkanUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

OpDef.Builder publik deleteAttr (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder publik deleteInputArg (int indeks)

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

OpDef.Builder publik deleteOutputArg (int indeks)

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

public OpDef.Builder setAllowsUninitializedInput (nilai boolean)

 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;

OpDef.Builder setAttr publik (indeks int, nilai OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder setAttr publik (indeks int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

OpDef.Builder setControlOutput publik (indeks int, nilai 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;

OpDef.Builder setDeprecation publik ( OpDeprecation.Builder builderForValue)

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

setDeprecation OpDef.Builder publik (nilai OpDeprecation )

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

public OpDef.Builder setDescription (Nilai string)

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

setDescriptionBytes OpDef.Builder publik (nilai com.google.protobuf.ByteString)

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

public OpDef.Builder setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

OpDef.Builder publik setInputArg (indeks int, nilai OpDef.ArgDef )

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

OpDef.Builder setInputArg publik (indeks int, OpDef.ArgDef.Builder builderForValue)

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

setIsAggregate OpDef.Builder publik (nilai boolean)

 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 (nilai boolean)

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

OpDef.Builder publik setIsStateful (nilai boolean)

 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;

setName OpDef.Builder publik (Nilai string)

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

OpDef.Builder publik setNameBytes (nilai 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;

OpDef.Builder publik setOutputArg (indeks int, nilai OpDef.ArgDef )

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

OpDef.Builder setOutputArg publik (indeks int, OpDef.ArgDef.Builder builderForValue)

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

public OpDef.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

public OpDef.Builder setSummary (Nilai string)

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

setSummaryBytes OpDef.Builder publik (nilai com.google.protobuf.ByteString)

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

set OpDef.Builder final publikUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)