Class ResourceApplyFtrl.Inputs<T extends TType>

java.lang.Object

org.tensorflow.op.RawOpInputs<ResourceApplyFtrl>

org.tensorflow.op.train.ResourceApplyFtrl.Inputs<T>

Enclosing class:

ResourceApplyFtrl

public static class ResourceApplyFtrl.Inputs<T extends TType>
extends RawOpInputs<ResourceApplyFtrl>

Field Summary

Fields

Modifier and Type	Field	Description
final Operand<? extends TType>	accum	Should be from a Variable().
final Operand<T>	grad	The gradient.
final Operand<T>	l1	L1 regularization.
final Operand<T>	l2	L2 shrinkage regularization.
final Operand<T>	l2Shrinkage	The l2Shrinkage input
final Operand<? extends TType>	linear	Should be from a Variable().
final Operand<T>	lr	Scaling factor.
final Operand<T>	lrPower	Scaling factor.
final boolean	multiplyLinearByLr	The multiplyLinearByLr attribute
final DataType	T	The T attribute
final boolean	useLocking	If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
final Operand<? extends TType>	var	Should be from a Variable().

Constructor Summary

Constructors

Constructor	Description
Inputs(GraphOperation op)

Method Summary

Methods inherited from class RawOpInputs

attributeMetadata, attributeNames, attributes, attributeValue, attributeValues, equals, getOutputs, hashCode, toString

Modifier and Type	Method	Description
AttributeMetadata	attributeMetadata(String name)	Get the metadata for an attribute
Set<String>	attributeNames()	Get the names of this op's attributes
OperationAttributeInspector	attributes()	Get an inspector for the operation's attributes.
AttrValue	attributeValue(String name)	Get the value of an attribute as an AttrValue proto.
Map<String, AttrValue>	attributeValues()	Get all attribute value protos
final boolean	equals(Object obj)
ResourceApplyFtrl	getOutputs()	The outputs of this operation.
final int	hashCode()
final String	toString()

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Details

var

public final Operand<? extends TType> var

Should be from a Variable().

accum

public final Operand<? extends TType> accum

Should be from a Variable().

linear

public final Operand<? extends TType> linear

Should be from a Variable().

grad

public final Operand<T extends TType> grad

The gradient.

lr

public final Operand<T extends TType> lr

Scaling factor. Must be a scalar.

l1

public final Operand<T extends TType> l1

L1 regularization. Must be a scalar.

l2

public final Operand<T extends TType> l2

L2 shrinkage regularization. Must be a scalar.

l2Shrinkage

public final Operand<T extends TType> l2Shrinkage

The l2Shrinkage input

lrPower

public final Operand<T extends TType> lrPower

Scaling factor. Must be a scalar.

T

public final DataType T

The T attribute

useLocking

public final boolean useLocking

If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

multiplyLinearByLr

public final boolean multiplyLinearByLr

The multiplyLinearByLr attribute

Constructor Details

Inputs

public Inputs(GraphOperation op)