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OpDef.Builder

publiczna statyczna klasa końcowa 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 typu tensorflow.OpDef

Metody publiczne

Konstruktor OpDef	addAllAttr (Iterable<? rozszerza wartości OpDef.AttrDef >) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef	addAllControlOutput (wartości Iterable<String>) Named control outputs for this operation.
Konstruktor OpDef	addAllInputArg (Iterable<? rozszerza OpDef.ArgDef > wartości) Description of the input(s).
Konstruktor OpDef	addAllOutputArg (Iterable<? rozszerza OpDef.ArgDef > wartości) Description of the output(s).
Konstruktor OpDef	addAttr ( OpDef.AttrDef.Builder builderForValue) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef	addAttr (indeks int, OpDef.AttrDef.Builder builderForValue) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef	addAttr (wartość OpDef.AttrDef ) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef	addAttr (indeks int, wartość OpDef.AttrDef ) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef.AttrDef	addAttrBuilder () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef.AttrDef	addAttrBuilder (indeks int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef	addControlOutput (wartość ciągu) Named control outputs for this operation.
Konstruktor OpDef	addControlOutputBytes (wartość com.google.protobuf.ByteString) Named control outputs for this operation.
Konstruktor OpDef	addInputArg ( OpDef.ArgDef.Builder builderForValue) Description of the input(s).
Konstruktor OpDef	addInputArg (indeks int, wartość OpDef.ArgDef ) Description of the input(s).
Konstruktor OpDef	addInputArg (wartość OpDef.ArgDef ) Description of the input(s).
Konstruktor OpDef	addInputArg (indeks int, OpDef.ArgDef.Builder builderForValue) Description of the input(s).
OpDef.ArgDef.Builder	addInputArgBuilder () Description of the input(s).
Konstruktor OpDef.ArgDef	addInputArgBuilder (indeks int) Description of the input(s).
Konstruktor OpDef	addOutputArg (indeks int, OpDef.ArgDef.Builder builderForValue) Description of the output(s).
Konstruktor OpDef	addOutputArg ( OpDef.ArgDef.Builder builderForValue) Description of the output(s).
Konstruktor OpDef	addOutputArg (indeks int, wartość OpDef.ArgDef ) Description of the output(s).
Konstruktor OpDef	addOutputArg (wartość OpDef.ArgDef ) Description of the output(s).
Konstruktor OpDef.ArgDef	addOutputArgBuilder (indeks int) Description of the output(s).
Konstruktor OpDef.ArgDef	addOutputArgBuilder () Description of the output(s).
Konstruktor OpDef	addRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)
OpDef	zbudować ()
OpDef	kompilacjaCzęściowa ()
Konstruktor OpDef	jasne ()
Konstruktor OpDef	clearAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
Konstruktor OpDef	wyczyśćAttr () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef	clearControlOutput () Named control outputs for this operation.
Konstruktor OpDef	wyczyśćDeprecjację () Optional deprecation based on GraphDef versions.
Konstruktor OpDef	jasneOpis () Additional, longer human-readable description of what the Op does.
Konstruktor OpDef	clearField (pole com.google.protobuf.Descriptors.FieldDescriptor)
Konstruktor OpDef	wyczyśćInputArg () Description of the input(s).
Konstruktor OpDef	clearIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
Konstruktor OpDef	jasneJestPrzemienne () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) `bool is_commutative = 18;`
Konstruktor OpDef	clearIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
Konstruktor OpDef	wyczyśćNazwa () Op names starting with an underscore are reserved for internal use.
Konstruktor OpDef	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
Konstruktor OpDef	wyczyśćOutputArg () Description of the output(s).
Konstruktor OpDef	jasnePodsumowanie () One-line human-readable description of what the Op does.
Konstruktor OpDef	klon ()
wartość logiczna	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef	getAttr (indeks int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef.AttrDef	getAttrBuilder (indeks int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Lista< OpDef.AttrDef.Builder >	getAttrBuilderList () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
wew	getAttrCount () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Lista< OpDef.AttrDef >	getAttrList () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
OpDef.AttrDefOrBuilder	getAttrOrBuilder (indeks int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Lista<? rozszerza OpDef.AttrDefOrBuilder >	getAttrOrBuilderList () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Smyczkowy	getControlOutput (indeks int) Named control outputs for this operation.
com.google.protobuf.ByteString	getControlOutputBytes (indeks int) Named control outputs for this operation.
wew	getControlOutputCount () Named control outputs for this operation.
com.google.protobuf.ProtocolStringList	getControlOutputList () Named control outputs for this operation.
OpDef	getDefaultInstanceForType ()
OpDeprecjacja	pobierzDeprecjację () Optional deprecation based on GraphDef versions.
OpDeprecation.Builder	pobierzDeprecationBuilder () Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder	getDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
Smyczkowy	pobierz opis () 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.
końcowy statyczny com.google.protobuf.Descriptors.Descriptor	pobierzDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
OpDef.ArgDef	getInputArg (indeks int) Description of the input(s).
Konstruktor OpDef.ArgDef	getInputArgBuilder (indeks int) Description of the input(s).
Lista< OpDef.ArgDef.Builder >	getInputArgBuilderList () Description of the input(s).
wew	getInputArgCount () Description of the input(s).
Lista< OpDef.ArgDef >	getInputArgList () Description of the input(s).
OpDef.ArgDefOrBuilder	getInputArgOrBuilder (indeks int) Description of the input(s).
Lista<? rozszerza OpDef.ArgDefOrBuilder >	getInputArgOrBuilderList () Description of the input(s).
wartość logiczna	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
wartość logiczna	getIsPrzemienna () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) `bool is_commutative = 18;`
wartość logiczna	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
Smyczkowy	pobierz nazwę () 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 (indeks int) Description of the output(s).
Konstruktor OpDef.ArgDef	getOutputArgBuilder (indeks int) Description of the output(s).
Lista< OpDef.ArgDef.Builder >	getOutputArgBuilderList () Description of the output(s).
wew	getOutputArgCount () Description of the output(s).
Lista< OpDef.ArgDef >	getOutputArgList () Description of the output(s).
OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (indeks int) Description of the output(s).
Lista<? rozszerza OpDef.ArgDefOrBuilder >	getOutputArgOrBuilderList () Description of the output(s).
Smyczkowy	pobierz podsumowanie () 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.
wartość logiczna	maDeprecjację () Optional deprecation based on GraphDef versions.
końcowa wartość logiczna	jest zainicjowany ()
Konstruktor OpDef	mergeDeprecation (wartość OpDeprecation ) Optional deprecation based on GraphDef versions.
Konstruktor OpDef	mergeFrom (com.google.protobuf.Wiadomość inna)
Konstruktor OpDef	mergeFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
końcowy moduł OpDef.Builder	mergeUnknownFields (com.google.protobuf.UnknownFieldUstaw nieznane pola)
Konstruktor OpDef	usuńAttr (indeks int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef	usuńInputArg (indeks int) Description of the input(s).
Konstruktor OpDef	usuńOutputArg (indeks int) Description of the output(s).
Konstruktor OpDef	setAllowsUninitializedInput (wartość logiczna) By default, all inputs to an Op must be initialized Tensors.
Konstruktor OpDef	setAttr (indeks int, wartość OpDef.AttrDef ) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef	setAttr (indeks int, OpDef.AttrDef.Builder builderForValue) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Konstruktor OpDef	setControlOutput (indeks int, wartość ciągu) Named control outputs for this operation.
Konstruktor OpDef	setDeprecation ( OpDeprecation.Builder builderForValue) Optional deprecation based on GraphDef versions.
Konstruktor OpDef	setDeprecation (wartość OpDeprecation ) Optional deprecation based on GraphDef versions.
Konstruktor OpDef	setDescription (wartość ciągu) Additional, longer human-readable description of what the Op does.
Konstruktor OpDef	setDescriptionBytes (wartość com.google.protobuf.ByteString) Additional, longer human-readable description of what the Op does.
Konstruktor OpDef	setField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)
Konstruktor OpDef	setInputArg (indeks int, wartość OpDef.ArgDef ) Description of the input(s).
Konstruktor OpDef	setInputArg (indeks int, OpDef.ArgDef.Builder builderForValue) Description of the input(s).
Konstruktor OpDef	setIsAggregate (wartość logiczna) If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
Konstruktor OpDef	setIsCommutative (wartość logiczna) True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) `bool is_commutative = 18;`
Konstruktor OpDef	setIsStateful (wartość logiczna) Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
Konstruktor OpDef	setName (wartość ciągu) Op names starting with an underscore are reserved for internal use.
Konstruktor OpDef	setNameBytes (wartość com.google.protobuf.ByteString) Op names starting with an underscore are reserved for internal use.
Konstruktor OpDef	setOutputArg (indeks int, wartość OpDef.ArgDef ) Description of the output(s).
Konstruktor OpDef	setOutputArg (indeks int, OpDef.ArgDef.Builder builderForValue) Description of the output(s).
Konstruktor OpDef	setRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, indeks int, wartość obiektu)
Konstruktor OpDef	setSummary (wartość ciągu) One-line human-readable description of what the Op does.
Konstruktor OpDef	setSummaryBytes (wartość com.google.protobuf.ByteString) One-line human-readable description of what the Op does.
końcowy moduł OpDef.Builder	setUnknownFields (com.google.protobuf.UnknownFieldUstaw nieznane pola)

Metody dziedziczone

Z klasy java.lang.Object

wartość logiczna	równa się (Obiekt arg0)
ostatnia klasa<?>	pobierzKlasę ()
wew	hashCode ()
ostateczna pustka	powiadomić ()
ostateczna pustka	powiadom wszystkich ()
Smyczkowy	doString ()
ostateczna pustka	czekaj (długi arg0, int arg1)
ostateczna pustka	czekaj (długi arg0)
ostateczna pustka	Czekać ()

Z interfejsu org.tensorflow.proto.framework.OpDefOrBuilder

abstrakcyjna wartość logiczna	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
streszczenie OpDef.AttrDef	getAttr (indeks int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
streszczenie wew	getAttrCount () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
lista abstrakcyjna< OpDef.AttrDef >	getAttrList () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
streszczenie OpDef.AttrDefOrBuilder	getAttrOrBuilder (indeks int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
lista abstrakcyjna<? rozszerza OpDef.AttrDefOrBuilder >	getAttrOrBuilderList () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
abstrakcyjny ciąg	getControlOutput (indeks int) Named control outputs for this operation.
streszczenie com.google.protobuf.ByteString	getControlOutputBytes (indeks int) Named control outputs for this operation.
streszczenie wew	getControlOutputCount () Named control outputs for this operation.
lista abstrakcyjna<String>	getControlOutputList () Named control outputs for this operation.
abstrakcyjna opDeprecjacja	pobierzDeprecjację () Optional deprecation based on GraphDef versions.
streszczenie OpDeprecationOrBuilder	getDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
abstrakcyjny ciąg	pobierz opis () Additional, longer human-readable description of what the Op does.
streszczenie com.google.protobuf.ByteString	getDescriptionBytes () Additional, longer human-readable description of what the Op does.
streszczenie OpDef.ArgDef	getInputArg (indeks int) Description of the input(s).
streszczenie wew	getInputArgCount () Description of the input(s).
lista abstrakcyjna< OpDef.ArgDef >	getInputArgList () Description of the input(s).
streszczenie OpDef.ArgDefOrBuilder	getInputArgOrBuilder (indeks int) Description of the input(s).
lista abstrakcyjna<? rozszerza OpDef.ArgDefOrBuilder >	getInputArgOrBuilderList () Description of the input(s).
abstrakcyjna wartość logiczna	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
abstrakcyjna wartość logiczna	getIsPrzemienna () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) `bool is_commutative = 18;`
abstrakcyjna wartość logiczna	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
abstrakcyjny ciąg	pobierz nazwę () Op names starting with an underscore are reserved for internal use.
streszczenie com.google.protobuf.ByteString	getNameBytes () Op names starting with an underscore are reserved for internal use.
streszczenie OpDef.ArgDef	getOutputArg (indeks int) Description of the output(s).
streszczenie wew	getOutputArgCount () Description of the output(s).
lista abstrakcyjna< OpDef.ArgDef >	getOutputArgList () Description of the output(s).
streszczenie OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (indeks int) Description of the output(s).
lista abstrakcyjna<? rozszerza OpDef.ArgDefOrBuilder >	getOutputArgOrBuilderList () Description of the output(s).
abstrakcyjny ciąg	pobierz podsumowanie () One-line human-readable description of what the Op does.
streszczenie com.google.protobuf.ByteString	getSummaryBytes () One-line human-readable description of what the Op does.
abstrakcyjna wartość logiczna	maDeprecjację () Optional deprecation based on GraphDef versions.

Metody publiczne

public OpDef.Builder addAllAttr (Iterable<? rozszerza wartości OpDef.AttrDef >)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAllControlOutput (wartości 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<? rozszerza wartości OpDef.ArgDef >)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addAllOutputArg (Iterable<? rozszerza wartości 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 (indeks int, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (wartość OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (indeks int, wartość OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addControlOutput (wartość ciągu)

 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 (wartość 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 (indeks int, wartość OpDef.ArgDef )

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addInputArg (wartość OpDef.ArgDef )

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addInputArg (indeks 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 (indeks int)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder addOutputArg (indeks 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 (indeks int, wartość OpDef.ArgDef )

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder addOutputArg (wartość OpDef.ArgDef )

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.ArgDef.Builder addOutputArgBuilder (indeks 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 (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)

publiczna kompilacja OpDef ()

publiczna kompilacja OpDefCzęściowa ()

publiczny OpDef.Builder wyczyść ()

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;

publiczny 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 (pole com.google.protobuf.Descriptors.FieldDescriptor)

publiczny 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 clearIsPrzemienna ()

 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;

publiczny 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;

publiczny 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 clearPodsumowanie ()

 One-line human-readable description of what the Op does.

string summary = 5;

publiczny klon OpDef.Builder ()

publiczna wartość logiczna 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 (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder getAttrBuilder (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public List< OpDef.AttrDef.Builder > getAttrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

publiczny int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public List< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDefOrBuilder getAttrOrBuilder (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

lista publiczna<? rozszerza OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public String 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;

public 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;

publiczny 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;

publiczny 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;

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

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

public OpDef.ArgDef getInputArg (indeks int)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.ArgDef.Builder getInputArgBuilder (indeks int)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

lista publiczna< OpDef.ArgDef.Builder > getInputArgBuilderList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

publiczny int getInputArgCount ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

lista publiczna< OpDef.ArgDef > getInputArgList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.ArgDefOrBuilder getInputArgOrBuilder (indeks int)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

lista publiczna<? rozszerza OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

publiczna wartość logiczna 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;

publiczna wartość logiczna getIsPrzemienna ()

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

bool is_commutative = 18;

publiczna wartość logiczna 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 (indeks int)

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.ArgDef.Builder getOutputArgBuilder (indeks int)

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

lista publiczna< OpDef.ArgDef.Builder > getOutputArgBuilderList ()

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

publiczny int getOutputArgCount ()

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

lista publiczna< OpDef.ArgDef > getOutputArgList ()

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.ArgDefOrBuilder getOutputArgOrBuilder (indeks int)

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

lista publiczna<? rozszerza 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;

public com.google.protobuf.ByteString getSummaryBytes ()

 One-line human-readable description of what the Op does.

string summary = 5;

publiczna wartość logiczna maDeprecation ()

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

publiczna końcowa wartość logiczna isInitialized ()

public OpDef.Builder mergeDeprecation (wartość OpDeprecation )

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

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

publiczne OpDef.Builder mergeFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

Rzuca

Wyjątek IO

publiczne ostateczne połączenie OpDef.BuilderUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public OpDef.Builder usuńAttr (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder usuńInputArg (indeks int)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder usuńOutputArg (indeks int)

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder setAllowsUninitializedInput (wartość logiczna)

 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 (indeks int, wartość OpDef.AttrDef )

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder setControlOutput (indeks int, wartość ciągu)

 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 (wartość OpDeprecation )

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

public OpDef.Builder setDescription (wartość ciągu)

 Additional, longer human-readable description of what the Op does.

string description = 6;

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

 Additional, longer human-readable description of what the Op does.

string description = 6;

public OpDef.Builder setField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)

public OpDef.Builder setInputArg (indeks int, wartość OpDef.ArgDef )

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

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

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public OpDef.Builder setIsAggregate (wartość logiczna)

 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 (wartość logiczna)

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

bool is_commutative = 18;

public OpDef.Builder setIsStateful (wartość logiczna)

 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 (wartość ciągu)

 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 (wartość 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 (indeks int, wartość OpDef.ArgDef )

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

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

 Description of the output(s).

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

public OpDef.Builder setRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, indeks int, wartość obiektu)

public OpDef.Builder setSummary (wartość ciągu)

 One-line human-readable description of what the Op does.

string summary = 5;

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

 One-line human-readable description of what the Op does.

string summary = 5;