org.tensorflow.op.core

Class ApplyAdaMax<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for out() output

All Implemented Interfaces:

Op, Operand<T>

public final class ApplyAdaMax<T>
extends PrimitiveOp
implements Operand<T>

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	ApplyAdaMax.Options Optional attributes for ApplyAdaMax

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> ApplyAdaMax<T>	create(Scope scope, Operand<T> var, Operand<T> m, Operand<T> v, Operand<T> beta1Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, ApplyAdaMax.Options... options) Factory method to create a class to wrap a new ApplyAdaMax operation to the graph.
Output<T>	out() Same as "var".
static ApplyAdaMax.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> ApplyAdaMax<T> create(Scope scope,
                                        Operand<T> var,
                                        Operand<T> m,
                                        Operand<T> v,
                                        Operand<T> beta1Power,
                                        Operand<T> lr,
                                        Operand<T> beta1,
                                        Operand<T> beta2,
                                        Operand<T> epsilon,
                                        Operand<T> grad,
                                        ApplyAdaMax.Options... options)

Factory method to create a class to wrap a new ApplyAdaMax 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 ApplyAdaMax

useLocking

public static ApplyAdaMax.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.

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)