OpDefOrBuilder

interface pública OpDefOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

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

Métodos Públicos

público abstrato booleano 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;

resumo público OpDef.AttrDef getAttr (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

resumo público int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

lista abstrata pública< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

resumo público OpDef.AttrDefOrBuilder getAttrOrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

lista abstrata pública<? estende OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

string abstrata pública getControlOutput (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;

resumo 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;

público abstrato 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 abstrata pública<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;

público abstrato OpDeprecation getDeprecation ()

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

público abstrato OpDeprecationOrBuilder getDeprecationOrBuilder ()

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

String abstrata pública getDescription ()

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

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

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

resumo público OpDef.ArgDef getInputArg (índice int)

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

público abstrato int getInputArgCount ()

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

lista abstrata pública< OpDef.ArgDef > getInputArgList ()

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

resumo público OpDef.ArgDefOrBuilder getInputArgOrBuilder (índice int)

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

lista abstrata pública<? estende OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

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

público abstrato booleano 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;

público abstrato booleano getIsCommutative ()

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

público abstrato booleano 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;

String abstrata pública 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;

resumo 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;

resumo público OpDef.ArgDef getOutputArg (índice int)

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

público abstrato int getOutputArgCount ()

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

lista abstrata pública< OpDef.ArgDef > getOutputArgList ()

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

resumo público OpDef.ArgDefOrBuilder getOutputArgOrBuilder (índice int)

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

lista abstrata pública<? estende OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList ()

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

String abstrata pública getSummary ()

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

resumo público com.google.protobuf.ByteString getSummaryBytes ()

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

público abstrato booleano hasDeprecation ()

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