org.tensorflow.op.core

Class ResourceApplyProximalAdagrad

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.ResourceApplyProximalAdagrad

All Implemented Interfaces:

Op

@Operator
public final class ResourceApplyProximalAdagrad
extends PrimitiveOp

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 Class Summary

Nested Classes

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <T> ResourceApplyProximalAdagrad	create(Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, ResourceApplyProximalAdagrad.Options... options) Factory method to create a class to wrap a new ResourceApplyProximalAdagrad operation to the graph.
static ResourceApplyProximalAdagrad.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> ResourceApplyProximalAdagrad create(Scope scope,
                                                      Operand<?> var,
                                                      Operand<?> accum,
                                                      Operand<T> lr,
                                                      Operand<T> l1,
                                                      Operand<T> l2,
                                                      Operand<T> grad,
                                                      ResourceApplyProximalAdagrad.Options... options)

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

Parameters:

scope - current graph 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

useLocking

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.