ResourceApplyFtrl

public final class ResourceApplyFtrl

Update '*var' according to the Ftrl-proximal scheme.

grad_with_shrinkage = grad + 2 * l2_shrinkage * var accum_new = accum + grad_with_shrinkage * grad_with_shrinkage linear += grad_with_shrinkage + (accum_new^(-lr_power) - accum^(-lr_power)) / lr * var quadratic = 1.0 / (accum_new^(lr_power) * lr) + 2 * l2 var = (sign(linear) * l1 - linear) / quadratic if |linear| > l1 else 0.0 accum = accum_new

Nested Classes

class ResourceApplyFtrl.Options Optional attributes for ResourceApplyFtrl

Constants

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

Public Methods

static <T extends TType> ResourceApplyFtrl	create(Scope scope, Operand<?> var, Operand<?> accum, Operand<?> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, Options... options) Factory method to create a class wrapping a new ResourceApplyFtrl operation.
static ResourceApplyFtrl.Options	multiplyLinearByLr(Boolean multiplyLinearByLr)
static ResourceApplyFtrl.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`.

Constants

public static final String OP_NAME

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

Constant Value: "ResourceApplyFtrlV2"

Public Methods

public static ResourceApplyFtrl create (Scope scope, Operand<?> var, Operand<?> accum, Operand<?> linear, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> l2Shrinkage, Operand<T> lrPower, Options... options)

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

Parameters

scope	current scope
var	Should be from a Variable().
accum	Should be from a Variable().
linear	Should be from a Variable().
grad	The gradient.
lr	Scaling factor. Must be a scalar.
l1	L1 regularization. Must be a scalar.
l2	L2 shrinkage regularization. Must be a scalar.
lrPower	Scaling factor. Must be a scalar.
options	carries optional attributes values

Returns

a new instance of ResourceApplyFtrl

public static ResourceApplyFtrl.Options multiplyLinearByLr (Boolean multiplyLinearByLr)

public static ResourceApplyFtrl.Options useLocking (Boolean useLocking)

Parameters

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.