ResourceApplyProximalGradientDescent

public final class ResourceApplyProximalGradientDescent

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}

class ResourceApplyProximalGradientDescent.Options Optional attributes for ResourceApplyProximalGradientDescent

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

static <T extends TType> ResourceApplyProximalGradientDescent	create(Scope scope, Operand<?> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, Options... options) Factory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation.
static ResourceApplyProximalGradientDescent.Options	useLocking(Boolean useLocking)

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

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`.

Constants

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

Constant Value: "ResourceApplyProximalGradientDescent"

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

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

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