ResourceApplyCenteredRmsProp

public final class ResourceApplyCenteredRmsProp

Update '*var' according to the centered RMSProp algorithm.

The centered RMSProp algorithm uses an estimate of the centered second moment (i.e., the variance) for normalization, as opposed to regular RMSProp, which uses the (uncentered) second moment. This often helps with training, but is slightly more expensive in terms of computation and memory.

Note that in dense implementation of this algorithm, mg, ms, and mom will update even if the grad is zero, but in this sparse implementation, mg, ms, and mom will not update in iterations during which the grad is zero.

mean_square = decay * mean_square + (1-decay) * gradient ** 2 mean_grad = decay * mean_grad + (1-decay) * gradient

Delta = learning_rate * gradient / sqrt(mean_square + epsilon - mean_grad ** 2)

mg <- rho * mg_{t-1} + (1-rho) * grad ms <- rho * ms_{t-1} + (1-rho) * grad * grad mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms - mg * mg + epsilon) var <- var - mom

Nested Classes

class ResourceApplyCenteredRmsProp.Options Optional attributes for ResourceApplyCenteredRmsProp

Constants

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

Public Methods

static <T extends TType > ResourceApplyCenteredRmsProp
create ( Scope scope, Operand <?> var, Operand <?> mg, Operand <?> ms, Operand <?> mom, Operand <T> lr, Operand <T> rho, Operand <T> momentum, Operand <T> epsilon, Operand <T> grad, Options... options)
Factory method to create a class wrapping a new ResourceApplyCenteredRmsProp operation.
static ResourceApplyCenteredRmsProp.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: "ResourceApplyCenteredRMSProp"

Public Methods

public static ResourceApplyCenteredRmsProp create ( Scope scope, Operand <?> var, Operand <?> mg, Operand <?> ms, Operand <?> mom, Operand <T> lr, Operand <T> rho, Operand <T> momentum, Operand <T> epsilon, Operand <T> grad, Options... options)

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

Parameters
scope current scope
var Should be from a Variable().
mg Should be from a Variable().
ms Should be from a Variable().
mom Should be from a Variable().
lr Scaling factor. Must be a scalar.
rho Decay rate. Must be a scalar.
momentum Momentum Scale. Must be a scalar.
epsilon Ridge term. Must be a scalar.
grad The gradient.
options carries optional attributes values
Returns
  • a new instance of ResourceApplyCenteredRmsProp

public static ResourceApplyCenteredRmsProp.Options useLocking (Boolean useLocking)

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