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

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.proto.framework.OpDefOrBuilder

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 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)