org.tensorflow.op.core

Class ApplyProximalGradientDescent<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.ApplyProximalGradientDescent<T>

Type Parameters:

T - data type for out() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class ApplyProximalGradientDescent<T>
extends PrimitiveOp
implements Operand<T>

Update '*var' as FOBOS algorithm with fixed learning rate.

prox_v = var - alpha delta var = sign(prox_v)/(1+alphal2) max{|prox_v|-alphal1,0}

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ApplyProximalGradientDescent.Options Optional attributes for ApplyProximalGradientDescent

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T> ApplyProximalGradientDescent<T>	create(Scope scope, Operand<T> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> delta, ApplyProximalGradientDescent.Options... options) Factory method to create a class to wrap a new ApplyProximalGradientDescent operation to the graph.
Output<T>	out() Same as "var".
static ApplyProximalGradientDescent.Options	useLocking(Boolean useLocking)

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T> ApplyProximalGradientDescent<T> create(Scope scope,
                                                         Operand<T> var,
                                                         Operand<T> alpha,
                                                         Operand<T> l1,
                                                         Operand<T> l2,
                                                         Operand<T> delta,
                                                         ApplyProximalGradientDescent.Options... options)

Factory method to create a class to wrap a new ApplyProximalGradientDescent operation to the graph.

Parameters:

scope - current graph scope

var - Should be from a Variable().

alpha - Scaling factor. Must be a scalar.

l1 - L1 regularization. Must be a scalar.

l2 - L2 regularization. Must be a scalar.

delta - The change.

options - carries optional attributes values

Returns:

a new instance of ApplyProximalGradientDescent

useLocking

public static ApplyProximalGradientDescent.Options useLocking(Boolean useLocking)

Parameters:

useLocking - If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

out

public Output<T> out()

Same as "var".

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

Specified by:

asOutput in interface Operand<T>

See Also:

OperationBuilder.addInput(Output)