OpDef.Builder

genel statik son sınıf OpDef.Builder

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

Genel Yöntemler

OpDef.Builder
addAllAttr (Yinelenebilir<? OpDef.AttrDef > değerleri genişletir)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAllControlOutput (Yinelenebilir<String> değerleri)
 Named control outputs for this operation.
OpDef.Builder
addAllInputArg (Yinelenebilir<?, OpDef.ArgDef > değerlerini genişletir)
 Description of the input(s).
OpDef.Builder
addAllOutputArg (Yinelenebilir<?, OpDef.ArgDef > değerlerini genişletir)
 Description of the output(s).
OpDef.Builder
addAttr ( OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (int dizini, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr ( OpDef.AttrDef değeri)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr (int dizini, OpDef.AttrDef değeri)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
addAttrBuilder ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
addAttrBuilder (int dizini)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addControlOutput (Dize değeri)
 Named control outputs for this operation.
OpDef.Builder
addControlOutputBytes (com.google.protobuf.ByteString değeri)
 Named control outputs for this operation.
OpDef.Builder
addInputArg ( OpDef.ArgDef.Builder builderForValue)
 Description of the input(s).
OpDef.Builder
addInputArg (int dizini, OpDef.ArgDef değeri)
 Description of the input(s).
OpDef.Builder
addInputArg ( OpDef.ArgDef değeri)
 Description of the input(s).
OpDef.Builder
addInputArg (int dizini, OpDef.ArgDef.Builder builderForValue)
 Description of the input(s).
OpDef.ArgDef.Builder
addInputArgBuilder ()
 Description of the input(s).
OpDef.ArgDef.Builder
addInputArgBuilder (int dizini)
 Description of the input(s).
OpDef.Builder
addOutputArg (int dizini, OpDef.ArgDef.Builder builderForValue)
 Description of the output(s).
OpDef.Builder
addOutputArg ( OpDef.ArgDef.Builder builderForValue)
 Description of the output(s).
OpDef.Builder
addOutputArg (int dizini, OpDef.ArgDef değeri)
 Description of the output(s).
OpDef.Builder
addOutputArg ( OpDef.ArgDef değeri)
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder (int dizini)
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder ()
 Description of the output(s).
OpDef.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
OpDef
OpDef
OpDef.Builder
OpDef.Builder
clearAllowsUnitializedInput ()
 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 (com.google.protobuf.Descriptors.FieldDescriptor alanı)
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
clearIsDeğişmeli ()
 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
temizleÖzet ()
 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 (int dizini)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
getAttrBuilder (int dizini)
repeated .tensorflow.OpDef.AttrDef attr = 4;
Liste< OpDef.AttrDef.Builder >
getAttrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
int
getAttrCount ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
Liste< OpDef.AttrDef >
getAttrList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder
getAttrOrBuilder (int dizini)
repeated .tensorflow.OpDef.AttrDef attr = 4;
Liste<? OpDef.AttrDefOrBuilder'ı genişletir >
getAttrOrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
Sicim
getControlOutput (int dizini)
 Named control outputs for this operation.
com.google.protobuf.ByteString
getControlOutputBytes (int dizini)
 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
Operasyonun Kullanımdan Kaldırılması
kullanımdan kaldırılma ()
 Optional deprecation based on GraphDef versions.
OpDeprecation.Builder
getDeprecationBuilder ()
 Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder
getDeprecationOrBuilder ()
 Optional deprecation based on GraphDef versions.
Sicim
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.
final statik com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
OpDef.ArgDef
getInputArg (int dizini)
 Description of the input(s).
OpDef.ArgDef.Builder
getInputArgBuilder (int dizini)
 Description of the input(s).
Liste< OpDef.ArgDef.Builder >
getInputArgBuilderList ()
 Description of the input(s).
int
getInputArgCount ()
 Description of the input(s).
Liste< OpDef.ArgDef >
getInputArgList ()
 Description of the input(s).
OpDef.ArgDefOrBuilder
getInputArgOrBuilder (int dizini)
 Description of the input(s).
Liste<? OpDef.ArgDefOrBuilder'ı genişletir >
getInputArgOrBuilderList ()
 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.
Sicim
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 (int dizini)
 Description of the output(s).
OpDef.ArgDef.Builder
getOutputArgBuilder (int dizini)
 Description of the output(s).
Liste< OpDef.ArgDef.Builder >
getOutputArgBuilderList ()
 Description of the output(s).
int
getOutputArgCount ()
 Description of the output(s).
Liste< OpDef.ArgDef >
getOutputArgList ()
 Description of the output(s).
OpDef.ArgDefOrBuilder
getOutputArgOrBuilder (int dizini)
 Description of the output(s).
Liste<? OpDef.ArgDefOrBuilder'ı genişletir >
getOutputArgOrBuilderList ()
 Description of the output(s).
Sicim
getÖzet ()
 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.
boolean
kullanımdan kaldırılma ()
 Optional deprecation based on GraphDef versions.
son boole değeri
OpDef.Builder
mergeDeprecation ( OpDeprecation değeri)
 Optional deprecation based on GraphDef versions.
OpDef.Builder
mergeFrom (com.google.protobuf.Message other)
OpDef.Builder
mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
son OpDef.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)
OpDef.Builder
kaldırAttr (int dizini)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
RemoveInputArg (int dizini)
 Description of the input(s).
OpDef.Builder
RemoveOutputArg (int dizini)
 Description of the output(s).
OpDef.Builder
setAllowsUninitializedInput (boolean değeri)
 By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder
setAttr (int dizini, OpDef.AttrDef değeri)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setAttr (int dizini, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setControlOutput (int dizini, Dize değeri)
 Named control outputs for this operation.
OpDef.Builder
setDeprecation ( OpDeprecation.Builder builderForValue)
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDeprecation ( OpDeprecation değeri)
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDescription (Dize değeri)
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setDescriptionBytes (com.google.protobuf.ByteString değeri)
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
OpDef.Builder
setInputArg (int dizini, OpDef.ArgDef değeri)
 Description of the input(s).
OpDef.Builder
setInputArg (int dizini, OpDef.ArgDef.Builder builderForValue)
 Description of the input(s).
OpDef.Builder
setIsAggregate (boole değeri)
 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.
OpDef.Builder
setIsCommutative (boole değeri)
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
 
bool is_commutative = 18;
OpDef.Builder
setIsStateful (boole değeri)
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
OpDef.Builder
setName (Dize değeri)
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setNameBytes (com.google.protobuf.ByteString değeri)
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setOutputArg (int dizini, OpDef.ArgDef değeri)
 Description of the output(s).
OpDef.Builder
setOutputArg (int dizini, OpDef.ArgDef.Builder builderForValue)
 Description of the output(s).
OpDef.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri)
OpDef.Builder
setSummary (Dize değeri)
 One-line human-readable description of what the Op does.
OpDef.Builder
setSummaryBytes (com.google.protobuf.ByteString değeri)
 One-line human-readable description of what the Op does.
son OpDef.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet bilinmeyenFields)

Kalıtsal Yöntemler

Genel Yöntemler

public OpDef.Builder addAllAttr (Yinelenebilir<?, OpDef.AttrDef > değerlerini genişletir)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAllControlOutput (Yinelenebilir<String> değerleri)

 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 (Yinelenebilir<?, OpDef.ArgDef > değerlerini genişletir)

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

public OpDef.Builder addAllOutputArg (Yinelenebilir<?, OpDef.ArgDef > değerlerini genişletir)

 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 dizini, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr ( OpDef.AttrDef değeri)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (int dizini, OpDef.AttrDef değeri)

repeated .tensorflow.OpDef.AttrDef attr = 4;

genel OpDef.AttrDef.Builder addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder (int dizini)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addControlOutput (Dize değeri)

 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 (com.google.protobuf.ByteString değeri)

 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 (int dizini, OpDef.ArgDef değeri)

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

public OpDef.Builder addInputArg ( OpDef.ArgDef değeri)

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

public OpDef.Builder addInputArg (int dizini, OpDef.ArgDef.Builder builderForValue)

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

genel OpDef.ArgDef.Builder addInputArgBuilder ()

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

public OpDef.ArgDef.Builder addInputArgBuilder (int dizini)

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

public OpDef.Builder addOutputArg (int dizini, 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 (int dizini, OpDef.ArgDef değeri)

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

public OpDef.Builder addOutputArg ( OpDef.ArgDef değeri)

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

public OpDef.ArgDef.Builder addOutputArgBuilder (int dizini)

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

genel OpDef.ArgDef.Builder addOutputArgBuilder ()

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

public OpDef.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)

genel OpDef yapısı ()

genel OpDef buildPartial ()

genel 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;

genel OpDef.Builder clearAttr ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

genel 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;

genel OpDef.Builder clearDeprecation ()

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

genel OpDef.Builder clearDescription ()

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

genel OpDef.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor alanı)

genel OpDef.Builder clearInputArg ()

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

genel 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;

genel OpDef.Builder clearIsCommutative ()

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

genel 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;

genel 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;

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

genel OpDef.Builder clearOutputArg ()

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

genel OpDef.Builder clearSummary ()

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

genel OpDef.Builder klonu ()

genel 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 (int dizini)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder getAttrBuilder (int dizini)

repeated .tensorflow.OpDef.AttrDef attr = 4;

genel Liste< OpDef.AttrDef.Builder > getAttrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

genel int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

genel Liste< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDefOrBuilder getAttrOrBuilder (int dizini)

repeated .tensorflow.OpDef.AttrDef attr = 4;

genel liste<? OpDef.AttrDefOrBuilder > getAttrOrBuilderList () öğesini genişletir

repeated .tensorflow.OpDef.AttrDef attr = 4;

public String getControlOutput (int dizini)

 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 (int dizini)

 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;

genel OpDef getDefaultInstanceForType ()

genel OpDeprecation getDeprecation ()

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

herkese açık OpDeprecation.Builder getDeprecationBuilder ()

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

herkese açık OpDeprecationOrBuilder getDeprecationOrBuilder ()

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

genel Dize 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;

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

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

public OpDef.ArgDef getInputArg (int dizini)

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

public OpDef.ArgDef.Builder getInputArgBuilder (int dizini)

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

genel Liste< OpDef.ArgDef.Builder > getInputArgBuilderList ()

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

genel int getInputArgCount ()

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

genel Liste< OpDef.ArgDef > getInputArgList ()

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

public OpDef.ArgDefOrBuilder getInputArgOrBuilder (int dizini)

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

genel liste<? OpDef.ArgDefOrBuilder'ı genişletir > getInputArgOrBuilderList ()

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

genel 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;

genel boolean getIsCommutative ()

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

genel 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;

genel Dize 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 (int dizini)

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

public OpDef.ArgDef.Builder getOutputArgBuilder (int dizini)

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

genel Liste< 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;

genel Liste< OpDef.ArgDef > getOutputArgList ()

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

public OpDef.ArgDefOrBuilder getOutputArgOrBuilder (int dizini)

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

genel liste<? OpDef.ArgDefOrBuilder'ı genişletir > getOutputArgOrBuilderList ()

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

genel Dize getSummary ()

 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;

genel boolean hasDeprecation ()

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

genel final boolean isInitialized ()

public OpDef.Builder mergeDeprecation ( OpDeprecation değeri)

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

herkese açık OpDef.Builder mergeFrom (com.google.protobuf.Message other)

genel OpDef.Builder mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
IO İstisnası

genel nihai OpDef.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)

public OpDef.Builder kaldırAttr (int dizini)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder kaldırInputArg (int dizini)

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

public OpDef.Builder kaldırOutputArg (int dizini)

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

public OpDef.Builder setAllowsUninitializedInput (boolean değeri)

 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 (int dizini, OpDef.AttrDef değeri)

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder setControlOutput (int dizini, Dize değeri)

 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 ( OpDeprecation değeri)

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

public OpDef.Builder setDescription (Dize değeri)

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

public OpDef.Builder setDescriptionBytes (com.google.protobuf.ByteString değeri)

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

public OpDef.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)

public OpDef.Builder setInputArg (int dizini, OpDef.ArgDef değeri)

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

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

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

public OpDef.Builder setIsAggregate (boolean değeri)

 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 (boole değeri)

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

public OpDef.Builder setIsStateful (boole değeri)

 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 (Dize değeri)

 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 (com.google.protobuf.ByteString değeri)

 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 (int dizini, OpDef.ArgDef değeri)

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

public OpDef.Builder setOutputArg (int dizini, OpDef.ArgDef.Builder builderForValue)

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

public OpDef.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri)

public OpDef.Builder setSummary (Dize değeri)

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

public OpDef.Builder setSummaryBytes (com.google.protobuf.ByteString değeri)

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

genel final OpDef.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)