ResourceSparseApplyRmsProp

public final class ResourceSparseApplyRmsProp

Update '*var' according to the RMSProp algorithm.

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

mean_square = decay * mean_square + (1-decay) * gradient ** 2 Delta = learning_rate * gradient / sqrt(mean_square + epsilon)

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 ResourceSparseApplyRmsProp.Options Optional attributes for ResourceSparseApplyRmsProp

Constants

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

Public Methods

static <T extends TType > ResourceSparseApplyRmsProp
create ( Scope scope, Operand <?> var, 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 ResourceSparseApplyRmsProp operation.
static ResourceSparseApplyRmsProp.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: "ResourceSparseApplyRMSProp"

Public Methods

public static ResourceSparseApplyRmsProp create ( Scope scope, Operand <?> var, 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 ResourceSparseApplyRmsProp operation.

Parameters
scope current scope
var 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 ResourceSparseApplyRmsProp

public static ResourceSparseApplyRmsProp.Options useLocking (Boolean useLocking)

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