ResourceSparseApplyProximalAdagrad

public final class ResourceSparseApplyProximalAdagrad

Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.

That is for rows we have grad for, we update var and accum as follows: accum += grad grad prox_v = var prox_v -= lr grad (1 / sqrt(accum)) var = sign(prox_v)/(1+lrl2) max{|prox_v|-lrl1,0}

Nested Classes

class ResourceSparseApplyProximalAdagrad.Options Optional attributes for ResourceSparseApplyProximalAdagrad

Constants

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

Public Methods

static <T extends TType> ResourceSparseApplyProximalAdagrad	create(Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, Options... options) Factory method to create a class wrapping a new ResourceSparseApplyProximalAdagrad operation.
static ResourceSparseApplyProximalAdagrad.Options	useLocking(Boolean useLocking)

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: "ResourceSparseApplyProximalAdagrad"

Public Methods

public static ResourceSparseApplyProximalAdagrad create (Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<? extends TNumber> indices, Options... options)

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

Parameters

scope	current scope
var	Should be from a Variable().
accum	Should be from a Variable().
lr	Learning rate. Must be a scalar.
l1	L1 regularization. Must be a scalar.
l2	L2 regularization. Must be a scalar.
grad	The gradient.
indices	A vector of indices into the first dimension of var and accum.
options	carries optional attributes values

Returns

a new instance of ResourceSparseApplyProximalAdagrad

public static ResourceSparseApplyProximalAdagrad.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.