ResourceApplyAddSign

public final class ResourceApplyAddSign

Update '*var' according to the AddSign update.

m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- (alpha + sign_decay * sign(g) *sign(m)) * g variable <- variable - lr_t * update

class ResourceApplyAddSign.Options Optional attributes for ResourceApplyAddSign

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

static <T extends TType> ResourceApplyAddSign	create(Scope scope, Operand<?> var, Operand<?> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, Options... options) Factory method to create a class wrapping a new ResourceApplyAddSign operation.
static ResourceApplyAddSign.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: "ResourceApplyAddSign"

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

scope	current scope
var	Should be from a Variable().
m	Should be from a Variable().
lr	Scaling factor. Must be a scalar.
alpha	Must be a scalar.
signDecay	Must be a scalar.
beta	Must be a scalar.
grad	The gradient.
options	carries optional attributes values

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