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OpDefOrBuilder

interfaz pública OpDefOrBuilder

Subclases indirectas conocidas

Métodos públicos

booleano abstracto	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
Resumen OpDef.AttrDef	getAttr (índice int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
int abstracto	getAttrCount () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Lista abstracta < OpDef.AttrDef >	getAttrList () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Resumen OpDef.AttrDefOrBuilder	getAttrOrBuilder (índice int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Resumen Lista <? extiende OpDef.AttrDefOrBuilder >	getAttrOrBuilderList () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
cadena abstracta	getControlOutput (índice int) Named control outputs for this operation.
resumen com.google.protobuf.ByteString	getControlOutputBytes (índice int) Named control outputs for this operation.
int abstracto	getControlOutputCount () Named control outputs for this operation.
Lista abstracta <String>	getControlOutputList () Named control outputs for this operation.
OpDeprecation abstracto	getDeprecation () Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder abstracto	getDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
cadena abstracta	getDescription () Additional, longer human-readable description of what the Op does.
resumen com.google.protobuf.ByteString	getDescriptionBytes () Additional, longer human-readable description of what the Op does.
Resumen OpDef.ArgDef	getInputArg (índice int) Description of the input(s).
int abstracto	getInputArgCount () Description of the input(s).
Lista abstracta < OpDef.ArgDef >	getInputArgList () Description of the input(s).
Resumen OpDef.ArgDefOrBuilder	getInputArgOrBuilder (índice int) Description of the input(s).
Resumen Lista <? extiende OpDef.ArgDefOrBuilder >	getInputArgOrBuilderList () Description of the input(s).
booleano abstracto	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
booleano abstracto	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) `bool is_commutative = 18;`
booleano abstracto	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
cadena abstracta	getName () Op names starting with an underscore are reserved for internal use.
resumen com.google.protobuf.ByteString	getNameBytes () Op names starting with an underscore are reserved for internal use.
Resumen OpDef.ArgDef	getOutputArg (índice int) Description of the output(s).
int abstracto	getOutputArgCount () Description of the output(s).
Lista abstracta < OpDef.ArgDef >	getOutputArgList () Description of the output(s).
Resumen OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (índice int) Description of the output(s).
Resumen Lista <? extiende OpDef.ArgDefOrBuilder >	getOutputArgOrBuilderList () Description of the output(s).
cadena abstracta	getSummary () One-line human-readable description of what the Op does.
resumen com.google.protobuf.ByteString	getSummaryBytes () One-line human-readable description of what the Op does.
booleano abstracto	hasDeprecation () Optional deprecation based on GraphDef versions.

Métodos públicos

getAllowsUninitializedInput () booleano abstracto público

 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;

resumen público OpDef.AttrDef getAttr (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public abstract int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista pública abstracta < OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

resumen público OpDef.AttrDefOrBuilder getAttrOrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista de resumen público <? extiende OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

getControlOutput de cadena abstracta pública (índice 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;

resumen público com.google.protobuf.ByteString getControlOutputBytes (índice 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 abstract 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;

Lista pública abstracta <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;

public abstract OpDeprecation getDeprecation ()

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

resumen público OpDeprecationOrBuilder getDeprecationOrBuilder ()

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

getDescription () de cadena abstracta pública

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

string description = 6;

resumen público com.google.protobuf.ByteString getDescriptionBytes ()

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

string description = 6;

resumen público OpDef.ArgDef getInputArg (índice int)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public abstract int getInputArgCount ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Lista pública abstracta < OpDef.ArgDef > getInputArgList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

resumen público OpDef.ArgDefOrBuilder getInputArgOrBuilder (índice int)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Lista de resumen público <? extiende OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

getIsAggregate () booleano abstracto público

 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;

getIsCommutative () booleano abstracto público

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

bool is_commutative = 18;

getIsStateful () booleano abstracto público

 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;

público abstracto 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;

resumen público 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;