OpDef.Builder

public static final class OpDef.Builder 

 Defines an operation. A NodeDef in a GraphDef specifies an Op by
 using the "op" field which should match the name of a OpDef.
 LINT.IfChange
Protobuf type tensorflow.OpDef

Public Methods

OpDef.Builder
addAllAttr(Iterable<? extends OpDef.AttrDef> values)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAllControlOutput(Iterable<String> values) 
 Named control outputs for this operation.
OpDef.Builder
addAllInputArg(Iterable<? extends OpDef.ArgDef> values) 
 Description of the input(s).
OpDef.Builder
addAllOutputArg(Iterable<? extends OpDef.ArgDef> values) 
 Description of the output(s).
OpDef.Builder
addAttr(OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr(int index, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr(OpDef.AttrDef value)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addAttr(int index, OpDef.AttrDef value)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
addAttrBuilder()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
addAttrBuilder(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
addControlOutput(String value) 
 Named control outputs for this operation.
OpDef.Builder
addControlOutputBytes(com.google.protobuf.ByteString value) 
 Named control outputs for this operation.
OpDef.Builder
addInputArg(OpDef.ArgDef.Builder builderForValue) 
 Description of the input(s).
OpDef.Builder
addInputArg(int index, OpDef.ArgDef value) 
 Description of the input(s).
OpDef.Builder
addInputArg(OpDef.ArgDef value) 
 Description of the input(s).
OpDef.Builder
addInputArg(int index, OpDef.ArgDef.Builder builderForValue) 
 Description of the input(s).
OpDef.ArgDef.Builder
addInputArgBuilder() 
 Description of the input(s).
OpDef.ArgDef.Builder
addInputArgBuilder(int index) 
 Description of the input(s).
OpDef.Builder
addOutputArg(int index, OpDef.ArgDef.Builder builderForValue) 
 Description of the output(s).
OpDef.Builder
addOutputArg(OpDef.ArgDef.Builder builderForValue) 
 Description of the output(s).
OpDef.Builder
addOutputArg(int index, OpDef.ArgDef value) 
 Description of the output(s).
OpDef.Builder
addOutputArg(OpDef.ArgDef value) 
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder(int index) 
 Description of the output(s).
OpDef.ArgDef.Builder
addOutputArgBuilder() 
 Description of the output(s).
OpDef.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
OpDef
build()
OpDef
buildPartial()
OpDef.Builder
clear()
OpDef.Builder
clearAllowsUninitializedInput() 
 By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder
clearAttr()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
clearControlOutput() 
 Named control outputs for this operation.
OpDef.Builder
clearDeprecation() 
 Optional deprecation based on GraphDef versions.
OpDef.Builder
clearDescription() 
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
OpDef.Builder
clearInputArg() 
 Description of the input(s).
OpDef.Builder
clearIsAggregate() 
 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.
OpDef.Builder
clearIsCommutative() 
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
OpDef.Builder
clearIsStateful() 
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
OpDef.Builder
clearName() 
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
OpDef.Builder
clearOutputArg() 
 Description of the output(s).
OpDef.Builder
clearSummary() 
 One-line human-readable description of what the Op does.
OpDef.Builder
clone()
boolean
getAllowsUninitializedInput() 
 By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef
getAttr(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.Builder
getAttrBuilder(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4;
List<OpDef.AttrDef.Builder>
getAttrBuilderList()
repeated .tensorflow.OpDef.AttrDef attr = 4;
int
getAttrCount()
repeated .tensorflow.OpDef.AttrDef attr = 4;
List<OpDef.AttrDef>
getAttrList()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder
getAttrOrBuilder(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4;
List<? extends OpDef.AttrDefOrBuilder>
getAttrOrBuilderList()
repeated .tensorflow.OpDef.AttrDef attr = 4;
String
getControlOutput(int index) 
 Named control outputs for this operation.
com.google.protobuf.ByteString
getControlOutputBytes(int index) 
 Named control outputs for this operation.
int
getControlOutputCount() 
 Named control outputs for this operation.
com.google.protobuf.ProtocolStringList
getControlOutputList() 
 Named control outputs for this operation.
OpDef
getDefaultInstanceForType()
OpDeprecation
getDeprecation() 
 Optional deprecation based on GraphDef versions.
OpDeprecation.Builder
getDeprecationBuilder() 
 Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder
getDeprecationOrBuilder() 
 Optional deprecation based on GraphDef versions.
String
getDescription() 
 Additional, longer human-readable description of what the Op does.
com.google.protobuf.ByteString
getDescriptionBytes() 
 Additional, longer human-readable description of what the Op does.
final static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType()
OpDef.ArgDef
getInputArg(int index) 
 Description of the input(s).
OpDef.ArgDef.Builder
getInputArgBuilder(int index) 
 Description of the input(s).
List<OpDef.ArgDef.Builder>
getInputArgBuilderList() 
 Description of the input(s).
int
getInputArgCount() 
 Description of the input(s).
List<OpDef.ArgDef>
getInputArgList() 
 Description of the input(s).
OpDef.ArgDefOrBuilder
getInputArgOrBuilder(int index) 
 Description of the input(s).
List<? extends OpDef.ArgDefOrBuilder>
getInputArgOrBuilderList() 
 Description of the input(s).
boolean
getIsAggregate() 
 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.
boolean
getIsCommutative() 
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
boolean
getIsStateful() 
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
String
getName() 
 Op names starting with an underscore are reserved for internal use.
com.google.protobuf.ByteString
getNameBytes() 
 Op names starting with an underscore are reserved for internal use.
OpDef.ArgDef
getOutputArg(int index) 
 Description of the output(s).
OpDef.ArgDef.Builder
getOutputArgBuilder(int index) 
 Description of the output(s).
List<OpDef.ArgDef.Builder>
getOutputArgBuilderList() 
 Description of the output(s).
int
getOutputArgCount() 
 Description of the output(s).
List<OpDef.ArgDef>
getOutputArgList() 
 Description of the output(s).
OpDef.ArgDefOrBuilder
getOutputArgOrBuilder(int index) 
 Description of the output(s).
List<? extends OpDef.ArgDefOrBuilder>
getOutputArgOrBuilderList() 
 Description of the output(s).
String
getSummary() 
 One-line human-readable description of what the Op does.
com.google.protobuf.ByteString
getSummaryBytes() 
 One-line human-readable description of what the Op does.
boolean
hasDeprecation() 
 Optional deprecation based on GraphDef versions.
final boolean
isInitialized()
OpDef.Builder
mergeDeprecation(OpDeprecation value) 
 Optional deprecation based on GraphDef versions.
OpDef.Builder
mergeFrom(com.google.protobuf.Message other)
OpDef.Builder
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
final OpDef.Builder
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
OpDef.Builder
removeAttr(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
removeInputArg(int index) 
 Description of the input(s).
OpDef.Builder
removeOutputArg(int index) 
 Description of the output(s).
OpDef.Builder
setAllowsUninitializedInput(boolean value) 
 By default, all inputs to an Op must be initialized Tensors.
OpDef.Builder
setAttr(int index, OpDef.AttrDef value)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setAttr(int index, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.Builder
setControlOutput(int index, String value) 
 Named control outputs for this operation.
OpDef.Builder
setDeprecation(OpDeprecation.Builder builderForValue) 
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDeprecation(OpDeprecation value) 
 Optional deprecation based on GraphDef versions.
OpDef.Builder
setDescription(String value) 
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setDescriptionBytes(com.google.protobuf.ByteString value) 
 Additional, longer human-readable description of what the Op does.
OpDef.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
OpDef.Builder
setInputArg(int index, OpDef.ArgDef value) 
 Description of the input(s).
OpDef.Builder
setInputArg(int index, OpDef.ArgDef.Builder builderForValue) 
 Description of the input(s).
OpDef.Builder
setIsAggregate(boolean value) 
 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.
OpDef.Builder
setIsCommutative(boolean value) 
 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
OpDef.Builder
setIsStateful(boolean value) 
 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g.
OpDef.Builder
setName(String value) 
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setNameBytes(com.google.protobuf.ByteString value) 
 Op names starting with an underscore are reserved for internal use.
OpDef.Builder
setOutputArg(int index, OpDef.ArgDef value) 
 Description of the output(s).
OpDef.Builder
setOutputArg(int index, OpDef.ArgDef.Builder builderForValue) 
 Description of the output(s).
OpDef.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
OpDef.Builder
setSummary(String value) 
 One-line human-readable description of what the Op does.
OpDef.Builder
setSummaryBytes(com.google.protobuf.ByteString value) 
 One-line human-readable description of what the Op does.
final OpDef.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Inherited Methods

Public Methods

public OpDef.Builder addAllAttr (Iterable<? extends OpDef.AttrDef> values)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAllControlOutput (Iterable<String> values) 

 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 OpDef.Builder addAllInputArg (Iterable<? extends OpDef.ArgDef> values) 

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

public OpDef.Builder addAllOutputArg (Iterable<? extends OpDef.ArgDef> values) 

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

public OpDef.Builder addAttr (OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (int index, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (OpDef.AttrDef value)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addAttr (int index, OpDef.AttrDef value)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder addAttrBuilder (int index)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder addControlOutput (String value) 

 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 OpDef.Builder addControlOutputBytes (com.google.protobuf.ByteString value) 

 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 OpDef.Builder addInputArg (OpDef.ArgDef.Builder builderForValue) 

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

public OpDef.Builder addInputArg (int index, OpDef.ArgDef value) 

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

public OpDef.Builder addInputArg (OpDef.ArgDef value) 

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

public OpDef.Builder addInputArg (int index, OpDef.ArgDef.Builder builderForValue) 

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

public OpDef.ArgDef.Builder addInputArgBuilder () 

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

public OpDef.ArgDef.Builder addInputArgBuilder (int index) 

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

public OpDef.Builder addOutputArg (int index, OpDef.ArgDef.Builder builderForValue) 

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

public OpDef.Builder addOutputArg (OpDef.ArgDef.Builder builderForValue) 

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

public OpDef.Builder addOutputArg (int index, OpDef.ArgDef value) 

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

public OpDef.Builder addOutputArg (OpDef.ArgDef value) 

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

public OpDef.ArgDef.Builder addOutputArgBuilder (int index) 

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

public OpDef.ArgDef.Builder addOutputArgBuilder () 

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

public OpDef.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public OpDef build ()

public OpDef buildPartial ()

public OpDef.Builder clear ()

public OpDef.Builder clearAllowsUninitializedInput () 

 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 OpDef.Builder clearAttr ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder clearControlOutput () 

 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 OpDef.Builder clearDeprecation () 

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

public OpDef.Builder clearDescription () 

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

public OpDef.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor field)

public OpDef.Builder clearInputArg () 

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

public OpDef.Builder clearIsAggregate () 

 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 OpDef.Builder clearIsCommutative () 

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

public OpDef.Builder clearIsStateful () 

 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 OpDef.Builder clearName () 

 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 OpDef.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

public OpDef.Builder clearOutputArg () 

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

public OpDef.Builder clearSummary () 

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

public OpDef.Builder clone ()

public 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 OpDef.AttrDef getAttr (int index)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDef.Builder getAttrBuilder (int index)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public List<OpDef.AttrDef.Builder> getAttrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public List<OpDef.AttrDef> getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.AttrDefOrBuilder getAttrOrBuilder (int index)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public List<? extends OpDef.AttrDefOrBuilder> getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

public 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 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 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 com.google.protobuf.ProtocolStringList 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 OpDef getDefaultInstanceForType ()

public OpDeprecation getDeprecation () 

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

public OpDeprecation.Builder getDeprecationBuilder () 

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

public OpDeprecationOrBuilder getDeprecationOrBuilder () 

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

public String getDescription () 

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

public com.google.protobuf.ByteString getDescriptionBytes () 

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

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

public OpDef.ArgDef getInputArg (int index) 

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

public OpDef.ArgDef.Builder getInputArgBuilder (int index) 

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

public List<OpDef.ArgDef.Builder> getInputArgBuilderList () 

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

public int getInputArgCount () 

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

public List<OpDef.ArgDef> getInputArgList () 

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

public OpDef.ArgDefOrBuilder getInputArgOrBuilder (int index) 

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

public List<? extends OpDef.ArgDefOrBuilder> getInputArgOrBuilderList () 

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

public 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 boolean getIsCommutative () 

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

public 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 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 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 OpDef.ArgDef getOutputArg (int index) 

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

public OpDef.ArgDef.Builder getOutputArgBuilder (int index) 

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

public List<OpDef.ArgDef.Builder> getOutputArgBuilderList () 

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

public int getOutputArgCount () 

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

public List<OpDef.ArgDef> getOutputArgList () 

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

public OpDef.ArgDefOrBuilder getOutputArgOrBuilder (int index) 

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

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

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

public String getSummary () 

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

public com.google.protobuf.ByteString getSummaryBytes () 

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

public boolean hasDeprecation () 

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

public final boolean isInitialized ()

public OpDef.Builder mergeDeprecation (OpDeprecation value) 

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

public OpDef.Builder mergeFrom (com.google.protobuf.Message other)

public OpDef.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public final OpDef.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public OpDef.Builder removeAttr (int index)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder removeInputArg (int index) 

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

public OpDef.Builder removeOutputArg (int index) 

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

public OpDef.Builder setAllowsUninitializedInput (boolean value) 

 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 OpDef.Builder setAttr (int index, OpDef.AttrDef value)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder setAttr (int index, OpDef.AttrDef.Builder builderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

public OpDef.Builder setControlOutput (int index, String value) 

 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 OpDef.Builder setDeprecation (OpDeprecation.Builder builderForValue) 

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

public OpDef.Builder setDeprecation (OpDeprecation value) 

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

public OpDef.Builder setDescription (String value) 

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

public OpDef.Builder setDescriptionBytes (com.google.protobuf.ByteString value) 

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

public OpDef.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public OpDef.Builder setInputArg (int index, OpDef.ArgDef value) 

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

public OpDef.Builder setInputArg (int index, OpDef.ArgDef.Builder builderForValue) 

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

public OpDef.Builder setIsAggregate (boolean value) 

 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 OpDef.Builder setIsCommutative (boolean value) 

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

public OpDef.Builder setIsStateful (boolean value) 

 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 OpDef.Builder setName (String value) 

 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 OpDef.Builder setNameBytes (com.google.protobuf.ByteString value) 

 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 OpDef.Builder setOutputArg (int index, OpDef.ArgDef value) 

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

public OpDef.Builder setOutputArg (int index, OpDef.ArgDef.Builder builderForValue) 

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

public OpDef.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)

public OpDef.Builder setSummary (String value) 

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

public OpDef.Builder setSummaryBytes (com.google.protobuf.ByteString value) 

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

public final OpDef.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)