OpDefOrBuilder

public interface OpDefOrBuilder
Known Indirect Subclasses

Public Methods

abstract boolean
getAllowsUninitializedInput() 
 By default, all inputs to an Op must be initialized Tensors.
abstract OpDef.AttrDef
getAttr(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4;
abstract int
getAttrCount()
repeated .tensorflow.OpDef.AttrDef attr = 4;
abstract List<OpDef.AttrDef>
getAttrList()
repeated .tensorflow.OpDef.AttrDef attr = 4;
abstract OpDef.AttrDefOrBuilder
getAttrOrBuilder(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4;
abstract List<? extends OpDef.AttrDefOrBuilder>
getAttrOrBuilderList()
repeated .tensorflow.OpDef.AttrDef attr = 4;
abstract String
getControlOutput(int index) 
 Named control outputs for this operation.
abstract com.google.protobuf.ByteString
getControlOutputBytes(int index) 
 Named control outputs for this operation.
abstract int
getControlOutputCount() 
 Named control outputs for this operation.
abstract List<String>
getControlOutputList() 
 Named control outputs for this operation.
abstract OpDeprecation
getDeprecation() 
 Optional deprecation based on GraphDef versions.
abstract OpDeprecationOrBuilder
getDeprecationOrBuilder() 
 Optional deprecation based on GraphDef versions.
abstract String
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.
abstract OpDef.ArgDef
getInputArg(int index) 
 Description of the input(s).
abstract int
getInputArgCount() 
 Description of the input(s).
abstract List<OpDef.ArgDef>
getInputArgList() 
 Description of the input(s).
abstract OpDef.ArgDefOrBuilder
getInputArgOrBuilder(int index) 
 Description of the input(s).
abstract List<? extends OpDef.ArgDefOrBuilder>
getInputArgOrBuilderList() 
 Description of the input(s).
abstract boolean
getIsAggregate() 
 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.
abstract boolean
getIsCommutative() 
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
abstract boolean
getIsStateful() 
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
abstract String
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.
abstract OpDef.ArgDef
getOutputArg(int index) 
 Description of the output(s).
abstract int
getOutputArgCount() 
 Description of the output(s).
abstract List<OpDef.ArgDef>
getOutputArgList() 
 Description of the output(s).
abstract OpDef.ArgDefOrBuilder
getOutputArgOrBuilder(int index) 
 Description of the output(s).
abstract List<? extends OpDef.ArgDefOrBuilder>
getOutputArgOrBuilderList() 
 Description of the output(s).
abstract String
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.
abstract boolean
hasDeprecation() 
 Optional deprecation based on GraphDef versions.

Public Methods

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 (int index)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public abstract List<? extends 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 (int index) 

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

public abstract List<? extends 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;

public abstract OpDef.ArgDef getOutputArg (int index) 

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

public abstract int getOutputArgCount () 

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

public abstract List<OpDef.ArgDef> getOutputArgList () 

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

public abstract OpDef.ArgDefOrBuilder getOutputArgOrBuilder (int index) 

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

public abstract List<? extends OpDef.ArgDefOrBuilder> getOutputArgOrBuilderList () 

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

public abstract String getSummary () 

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

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

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

public abstract boolean hasDeprecation () 

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