ResourceSparseApplyMomentum

public final class ResourceSparseApplyMomentum

Update relevant entries in '*var' and '*accum' according to the momentum scheme.

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

That is for rows we have grad for, we update var and accum as follows:

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

Nested Classes

class

ResourceSparseApplyMomentum.Options

Optional attributes for ResourceSparseApplyMomentum

Constants

String

OP_NAME

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

Public Methods

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

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

Constants

public static final String OP_NAME

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

Constant Value: "ResourceSparseApplyMomentum"

Public Methods

public static ResourceSparseApplyMomentum create (Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, Options... options)

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

Parameters

scope	current scope
var	Should be from a Variable().
accum	Should be from a Variable().
lr	Learning rate. Must be a scalar.
grad	The gradient.
indices	A vector of indices into the first dimension of var and accum.
momentum	Momentum. Must be a scalar.
options	carries optional attributes values

Returns

• a new instance of ResourceSparseApplyMomentum

public static ResourceSparseApplyMomentum.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 ResourceSparseApplyMomentum.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.