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ResourceSparseApplyCenteredRmsProp

public final class ResourceSparseApplyCenteredRmsProp

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)

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

Nested Classes

class ResourceSparseApplyCenteredRmsProp.Options Optional attributes for ResourceSparseApplyCenteredRmsProp

Constants

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

Public Methods

static <T extends TType > ResourceSparseApplyCenteredRmsProp
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, Operand <? extends TNumber > indices, Options... options)
Factory method to create a class wrapping a new ResourceSparseApplyCenteredRmsProp operation.
static ResourceSparseApplyCenteredRmsProp.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: "ResourceSparseApplyCenteredRMSProp"

Public Methods

public static ResourceSparseApplyCenteredRmsProp 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, Operand <? extends TNumber > indices, Options... options)

Factory method to create a class wrapping a new ResourceSparseApplyCenteredRmsProp 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.
epsilon Ridge term. Must be a scalar.
grad The gradient.
indices A vector of indices into the first dimension of var, ms and mom.
options carries optional attributes values
Returns
  • a new instance of ResourceSparseApplyCenteredRmsProp

public static ResourceSparseApplyCenteredRmsProp.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.