org.tensorflow.op.core

Class ResourceApplyAdaMax

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.ResourceApplyAdaMax

All Implemented Interfaces:

Op

public final class ResourceApplyAdaMax
extends PrimitiveOp

Update '*var' according to the AdaMax algorithm.

m_t <- beta1 * m_{t-1} + (1 - beta1) * g v_t <- max(beta2 * v_{t-1}, abs(g)) variable <- variable - learning_rate / (1 - beta1^t) * m_t / (v_t + epsilon)

Nested Class Summary

Nested Classes

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <T> ResourceApplyAdaMax	create(Scope scope, Operand<?> var, Operand<?> m, Operand<?> v, Operand<T> beta1Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ResourceApplyAdaMax.Options... options) Factory method to create a class to wrap a new ResourceApplyAdaMax operation to the graph.
static ResourceApplyAdaMax.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> ResourceApplyAdaMax create(Scope scope,
                                             Operand<?> var,
                                             Operand<?> m,
                                             Operand<?> v,
                                             Operand<T> beta1Power,
                                             Operand<T> lr,
                                             Operand<T> beta1,
                                             Operand<T> beta2,
                                             Operand<T> epsilon,
                                             Operand<T> grad,
                                             ResourceApplyAdaMax.Options... options)

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

Parameters:

scope - current graph scope

var - Should be from a Variable().

m - Should be from a Variable().

v - Should be from a Variable().

beta1Power - Must be a scalar.

lr - Scaling factor. Must be a scalar.

beta1 - Momentum factor. Must be a scalar.

beta2 - Momentum factor. Must be a scalar.

epsilon - Ridge term. Must be a scalar.

grad - The gradient.

options - carries optional attributes values

Returns:

a new instance of ResourceApplyAdaMax

useLocking

public static ResourceApplyAdaMax.Options useLocking(Boolean useLocking)

Parameters:

useLocking - If `True`, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.