ApplyProximalGradientDescent

public final class ApplyProximalGradientDescent

Update '*var' as FOBOS algorithm with fixed learning rate.

prox_v = var - alpha delta var = sign(prox_v)/(1+alphal2) max{|prox_v|-alphal1,0}

Nested Classes

class

ApplyProximalGradientDescent.Options

Optional attributes for ApplyProximalGradientDescent

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

Output<T>	asOutput() Returns the symbolic handle of the tensor.
static <T extends TType> ApplyProximalGradientDescent<T>	create(Scope scope, Operand<T> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, Options... options) Factory method to create a class wrapping a new ApplyProximalGradientDescent operation.
Output<T>	out() Same as "var".
static ApplyProximalGradientDescent.Options	useLocking(Boolean useLocking)

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

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.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface org.tensorflow.Operand

abstract Output<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "ApplyProximalGradientDescent"

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static ApplyProximalGradientDescent<T> create (Scope scope, Operand<T> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, Options... options)

Factory method to create a class wrapping a new ApplyProximalGradientDescent operation.

Parameters

scope	current scope
var	Should be from a Variable().
alpha	Scaling factor. Must be a scalar.
l1	L1 regularization. Must be a scalar.
l2	L2 regularization. Must be a scalar.
delta	The change.
options	carries optional attributes values

Returns

• a new instance of ApplyProximalGradientDescent

public Output<T> out ()

Same as "var".

public static ApplyProximalGradientDescent.Options useLocking (Boolean useLocking)

Parameters

useLocking	If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.