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OpDefOrBuilder

interface pública OpDefOrBuilder

Subclasses indiretas conhecidas

OpDef , OpDef.Builder

Métodos Públicos

booleano abstrato	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef abstrato	getAttr (índice int) `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;`
String abstrata	getControlOutput (índice interno ) Named control outputs for this operation.
abstract 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.
String abstrata	getDescription () Additional, longer human-readable description of what the Op does.
abstract com.google.protobuf.ByteString	getDescriptionBytes () Additional, longer human-readable description of what the Op does.
OpDef.ArgDef abstrato	getInputArg (int index) 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.
String abstrata	getName () Op names starting with an underscore are reserved for internal use.
abstract com.google.protobuf.ByteString	getNameBytes () Op names starting with an underscore are reserved for internal use.
OpDef.ArgDef abstrato	getOutputArg (int index) 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).
String abstrata	getSummary () One-line human-readable description of what the Op does.
abstract 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

public abstract 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 abstract OpDef.AttrDef getAttr (int index)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public abstract int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public abstract List < OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public abstract OpDef.AttrDefOrBuilder getAttrOrBuilder (índice int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Lista de resumos pública <? estende OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public abstract String getControlOutput (int index)

 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 com.google.protobuf.ByteString getControlOutputBytes (int index)

 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;

public abstract List <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;

public abstract OpDeprecationOrBuilder getDeprecationOrBuilder ()

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

public abstract String getDescription ()

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

string description = 6;

public abstract com.google.protobuf.ByteString getDescriptionBytes ()

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

string description = 6;

public abstract OpDef.ArgDef getInputArg (int index)

 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;

public abstract List < OpDef.ArgDef > getInputArgList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public abstract OpDef.ArgDefOrBuilder getInputArgOrBuilder (índice interno )

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Lista de resumos pública <? estende OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

public abstract 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;

public abstract boolean getIsCommutative ()

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

bool is_commutative = 18;

public abstract 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;

public abstract 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 abstract 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;