org.tensorflow.op.core

Class ResourceApplyAdagradV2

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.ResourceApplyAdagradV2

All Implemented Interfaces:

Op

public final class ResourceApplyAdagradV2
extends PrimitiveOp

Update '*var' according to the adagrad scheme.

accum += grad * grad var -= lr * grad * (1 / sqrt(accum))

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ResourceApplyAdagradV2.Options Optional attributes for ResourceApplyAdagradV2

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <T> ResourceApplyAdagradV2	create(Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdagradV2.Options... options) Factory method to create a class wrapping a new ResourceApplyAdagradV2 operation.
static ResourceApplyAdagradV2.Options	updateSlots(Boolean updateSlots)
static ResourceApplyAdagradV2.Options	useLocking(Boolean useLocking)

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <T> ResourceApplyAdagradV2 create(Scope scope,
                                                Operand<?> var,
                                                Operand<?> accum,
                                                Operand<T> lr,
                                                Operand<T> epsilon,
                                                Operand<T> grad,
                                                ResourceApplyAdagradV2.Options... options)

Factory method to create a class wrapping a new ResourceApplyAdagradV2 operation.

Parameters:

scope - current scope

var - Should be from a Variable().

accum - Should be from a Variable().

lr - Scaling factor. Must be a scalar.

epsilon - Constant factor. Must be a scalar.

grad - The gradient.

options - carries optional attributes values

Returns:

a new instance of ResourceApplyAdagradV2

useLocking

public static ResourceApplyAdagradV2.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.

updateSlots

public static ResourceApplyAdagradV2.Options updateSlots(Boolean updateSlots)

Parameters:

updateSlots -