ResourceApplyMomentum

public final class ResourceApplyMomentum

Update '*var' according to the momentum scheme.

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

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

Nested Classes

class ResourceApplyMomentum.Options Optional attributes for ResourceApplyMomentum  

Constants

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

Public Methods

static <T extends TType> ResourceApplyMomentum
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 ResourceApplyMomentum operation.
static ResourceApplyMomentum.Options
useLocking(Boolean useLocking)
static ResourceApplyMomentum.Options
useNesterov(Boolean useNesterov)

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "ResourceApplyMomentum"

Public Methods

public static ResourceApplyMomentum 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 ResourceApplyMomentum operation.

Parameters
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
Returns
  • a new instance of ResourceApplyMomentum

public static ResourceApplyMomentum.Options useLocking (Boolean useLocking)

Parameters
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.

public static ResourceApplyMomentum.Options useNesterov (Boolean useNesterov)

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