Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

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.