OpDefOrBuilder

общедоступный интерфейс OpDefOrBuilder
Известные косвенные подклассы

Публичные методы

абстрактное логическое значение
getAllowsUninitializedInput () 
 By default, all inputs to an Op must be initialized Tensors.
абстрактный OpDef.AttrDef
getAttr (целевой индекс)
repeated .tensorflow.OpDef.AttrDef attr = 4;
абстрактный интервал
getAttrCount ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
абстрактный список < OpDef.AttrDef >
getAttrList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
абстрактный OpDef.AttrDefOrBuilder
getAttrOrBuilder (индекс целого числа)
repeated .tensorflow.OpDef.AttrDef attr = 4;
абстрактный список<? расширяет OpDef.AttrDefOrBuilder >
getAttrOrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
абстрактная строка
getControlOutput (индекс целого числа) 
 Named control outputs for this operation.
абстрактный com.google.protobuf.ByteString
getControlOutputBytes (индекс int) 
 Named control outputs for this operation.
абстрактный интервал
getControlOutputCount () 
 Named control outputs for this operation.
абстрактный список<String>
getControlOutputList () 
 Named control outputs for this operation.
абстрактное OpDeprecation
получить устаревание () 
 Optional deprecation based on GraphDef versions.
абстрактный Опдепрекатионорбилдер
getDeprecationOrBuilder () 
 Optional deprecation based on GraphDef versions.
абстрактная строка
получитьОписание () 
 Additional, longer human-readable description of what the Op does.
абстрактный com.google.protobuf.ByteString
getDescriptionBytes () 
 Additional, longer human-readable description of what the Op does.
абстрактный OpDef.ArgDef
getInputArg (целочисленный индекс) 
 Description of the input(s).
абстрактный интервал
getInputArgCount () 
 Description of the input(s).
абстрактный список < OpDef.ArgDef >
getInputArgList () 
 Description of the input(s).
абстрактный OpDef.ArgDefOrBuilder
getInputArgOrBuilder (индекс целого числа) 
 Description of the input(s).
абстрактный список<? расширяет OpDef.ArgDefOrBuilder >
getInputArgOrBuilderList () 
 Description of the input(s).
абстрактное логическое значение
getIsAggregate () 
 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.
абстрактное логическое значение
getIsCommutative ()
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
абстрактное логическое значение
getIsStateful () 
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
абстрактная строка
получитьИмя () 
 Op names starting with an underscore are reserved for internal use.
абстрактный com.google.protobuf.ByteString
getNameBytes () 
 Op names starting with an underscore are reserved for internal use.
абстрактный OpDef.ArgDef
getOutputArg (целочисленный индекс) 
 Description of the output(s).
абстрактный интервал
getOutputArgCount () 
 Description of the output(s).
абстрактный список < OpDef.ArgDef >
getOutputArgList () 
 Description of the output(s).
абстрактный OpDef.ArgDefOrBuilder
getOutputArgOrBuilder (индекс целого числа) 
 Description of the output(s).
абстрактный список<? расширяет OpDef.ArgDefOrBuilder >
getOutputArgOrBuilderList () 
 Description of the output(s).
абстрактная строка
получитьСводку () 
 One-line human-readable description of what the Op does.
абстрактный com.google.protobuf.ByteString
getSummaryBytes () 
 One-line human-readable description of what the Op does.
абстрактное логическое значение
имеетУстарение () 
 Optional deprecation based on GraphDef versions.

Публичные методы

общедоступное абстрактное логическое значение 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;

общедоступный абстрактный OpDef.AttrDef getAttr (индекс int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

публичный абстрактный int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

общедоступный абстрактный список < OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

общедоступный абстрактный OpDef.AttrDefOrBuilder getAttrOrBuilder (индекс int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

публичный абстрактный список<? расширяет OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

общедоступная абстрактная строка getControlOutput (индекс 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;

общедоступный абстрактный com.google.protobuf.ByteString getControlOutputBytes (индекс 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;

общедоступный абстрактный 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;

общедоступный абстрактный список <String> 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;

публичный абстрактный OpDeprecation getDeprecation () 

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

общедоступный абстрактный OpDeprecationOrBuilder getDeprecationOrBuilder () 

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

общедоступная абстрактная строка getDescription () 

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

публичный абстрактный com.google.protobuf.ByteString getDescriptionBytes () 

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

общедоступный абстрактный OpDef.ArgDef getInputArg (индекс int) 

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

общедоступный абстрактный int getInputArgCount () 

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

общедоступный абстрактный список < OpDef.ArgDef > getInputArgList () 

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

общедоступный абстрактный OpDef.ArgDefOrBuilder getInputArgOrBuilder (индекс int) 

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

публичный абстрактный список<? расширяет OpDef.ArgDefOrBuilder > getInputArgOrBuilderList () 

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

общедоступное абстрактное логическое значение 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;

общедоступное абстрактное логическое значение getIsCommutative () 

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

общедоступное абстрактное логическое значение 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;

общедоступная абстрактная строка 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;

общедоступный абстрактный 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;

общедоступный абстрактный OpDef.ArgDef getOutputArg (индекс int) 

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

общедоступный абстрактный int getOutputArgCount () 

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

общедоступный абстрактный список < OpDef.ArgDef > getOutputArgList () 

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

общедоступный абстрактный OpDef.ArgDefOrBuilder getOutputArgOrBuilder (индекс int) 

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

публичный абстрактный список<? расширяет OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList () 

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

общедоступная абстрактная строка getSummary () 

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

общедоступный абстрактный com.google.protobuf.ByteString getSummaryBytes () 

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

общедоступное абстрактное логическое значение hasDeprecation () 

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