ResourceApplyPowerSign

public final class ResourceApplyPowerSign

Update '*var' according to the AddSign update.

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

Nested Classes

class ResourceApplyPowerSign.Options Optional attributes for ResourceApplyPowerSign

Constants

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

Public Methods

static <T extends TType > ResourceApplyPowerSign
create ( Scope scope, Operand <?> var, Operand <?> m, Operand <T> lr, Operand <T> logbase, Operand <T> signDecay, Operand <T> beta, Operand <T> grad, Options... options)
Factory method to create a class wrapping a new ResourceApplyPowerSign operation.
static ResourceApplyPowerSign.Options
useLocking (Boolean useLocking)

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "ResourceApplyPowerSign"

Public Methods

public static ResourceApplyPowerSign create ( Scope scope, Operand <?> var, Operand <?> m, Operand <T> lr, Operand <T> logbase, Operand <T> signDecay, Operand <T> beta, Operand <T> grad, Options... options)

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

Parameters
scope current scope
var Should be from a Variable().
m Should be from a Variable().
lr Scaling factor. Must be a scalar.
logbase Must be a scalar.
signDecay Must be a scalar.
beta Must be a scalar.
grad The gradient.
options carries optional attributes values
Returns
  • a new instance of ResourceApplyPowerSign

public static ResourceApplyPowerSign.Options useLocking (Boolean useLocking)

Parameters
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.