ResourceApplyProximalAdagrad

public final class ResourceApplyProximalAdagrad

Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.

accum += grad grad prox_v = var - lr grad (1 / sqrt(accum)) var = sign(prox_v)/(1+lrl2) max{|prox_v|-lrl1,0}

Nested Classes

class

ResourceApplyProximalAdagrad.Options

Optional attributes for ResourceApplyProximalAdagrad

Constants

String

OP_NAME

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

Public Methods

static <T extends TType> ResourceApplyProximalAdagrad	create(Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Options... options) Factory method to create a class wrapping a new ResourceApplyProximalAdagrad operation.
static ResourceApplyProximalAdagrad.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: "ResourceApplyProximalAdagrad"

Public Methods

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

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

Parameters

scope	current scope
var	Should be from a Variable().
accum	Should be from a Variable().
lr	Scaling factor. Must be a scalar.
l1	L1 regularization. Must be a scalar.
l2	L2 regularization. Must be a scalar.
grad	The gradient.
options	carries optional attributes values

Returns

• a new instance of ResourceApplyProximalAdagrad

public static ResourceApplyProximalAdagrad.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.