ResourceApplyKerasMomentum

public final class ResourceApplyKerasMomentum

Update '*var' according to the momentum scheme.

Set use_nesterov = True if you want to use Nesterov momentum.

accum = accum * momentum - lr * grad var += accum

class ResourceApplyKerasMomentum.Options Optional attributes for ResourceApplyKerasMomentum

static <T> ResourceApplyKerasMomentum	create ( Scope scope, Operand <?> var, Operand <?> accum, Operand <T> lr, Operand <T> grad, Operand <T> momentum, Options... options) Factory method to create a class wrapping a new ResourceApplyKerasMomentum operation.
static ResourceApplyKerasMomentum.Options	useLocking (Boolean useLocking)
static ResourceApplyKerasMomentum.Options	useNesterov (Boolean useNesterov)

From class org.tensorflow.op.PrimitiveOp

final boolean	equals (Object obj)
final int	hashCode ()
Operation	op () Returns the underlying `Operation`
final String	toString ()

From class java.lang.Object

Public Methods

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

scope	current scope
var	Should be from a Variable().
accum	Should be from a Variable().
lr	Scaling factor. Must be a scalar.
grad	The gradient.
momentum	Momentum. Must be a scalar.
options	carries optional attributes values

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

useNesterov	If `True`, the tensor passed to compute grad will be var + momentum * accum, so in the end, the var you get is actually var + momentum * accum.