Package org.tensorflow.op.train

Class ResourceSparseApplyProximalGradientDescent

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent

All Implemented Interfaces:

Op

@Operator(group="train")
public final class ResourceSparseApplyProximalGradientDescent
extends PrimitiveOp

Sparse update '*var' as FOBOS algorithm with fixed learning rate.

That is for rows we have grad for, we update var as follows: prox_v = var - alpha grad var = sign(prox_v)/(1+alphal2) max{|prox_v|-alphal1,0}

Nested Class Summary

Nested Classes

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method	Description
static <T,U extends java.lang.Number> ResourceSparseApplyProximalGradientDescent	create(Scope scope, Operand<?> var, Operand<T> alpha, Operand<T> l1, Operand<T> l2, Operand<T> grad, Operand<U> indices, ResourceSparseApplyProximalGradientDescent.Options... options)	Factory method to create a class to wrap a new ResourceSparseApplyProximalGradientDescent operation to the graph.
static ResourceSparseApplyProximalGradientDescent.Options	useLocking(java.lang.Boolean useLocking)

Methods inherited from class java.lang.Object

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

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Method Detail

create

public static <T,U extends java.lang.Number> ResourceSparseApplyProximalGradientDescent create(Scope scope,
                                                                                               Operand<?> var,
                                                                                               Operand<T> alpha,
                                                                                               Operand<T> l1,
                                                                                               Operand<T> l2,
                                                                                               Operand<T> grad,
                                                                                               Operand<U> indices,
                                                                                               ResourceSparseApplyProximalGradientDescent.Options... options)

Factory method to create a class to wrap a new ResourceSparseApplyProximalGradientDescent 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.

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 ResourceSparseApplyProximalGradientDescent

useLocking

public static ResourceSparseApplyProximalGradientDescent.Options useLocking(java.lang.Boolean useLocking)

Parameters:

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