ResourceApplyAdadelta

public final class ResourceApplyAdadelta

Update '*var' according to the adadelta scheme.

accum = rho() * accum + (1 - rho()) * grad.square(); update = (update_accum + epsilon).sqrt() * (accum + epsilon()).rsqrt() * grad; update_accum = rho() * update_accum + (1 - rho()) * update.square(); var -= update;

Nested Classes

class ResourceApplyAdadelta.Options Optional attributes for ResourceApplyAdadelta

Constants

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

Public Methods

static <T extends TType> ResourceApplyAdadelta	create(Scope scope, Operand<?> var, Operand<?> accum, Operand<?> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Options... options) Factory method to create a class wrapping a new ResourceApplyAdadelta operation.
static ResourceApplyAdadelta.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: "ResourceApplyAdadelta"

Public Methods

public static ResourceApplyAdadelta create (Scope scope, Operand<?> var, Operand<?> accum, Operand<?> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Options... options)

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

Parameters

scope	current scope
var	Should be from a Variable().
accum	Should be from a Variable().
accumUpdate	Should be from a Variable().
lr	Scaling factor. Must be a scalar.
rho	Decay factor. Must be a scalar.
epsilon	Constant factor. Must be a scalar.
grad	The gradient.
options	carries optional attributes values

Returns

a new instance of ResourceApplyAdadelta

public static ResourceApplyAdadelta.Options useLocking (Boolean useLocking)

Parameters

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