Package org.tensorflow.op.train

Class ResourceSparseApplyAdagradDa

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.train.ResourceSparseApplyAdagradDa

All Implemented Interfaces:

Op

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

Update entries in '*var' and '*accum' according to the proximal adagrad scheme.

Nested Class Summary

Nested Classes

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

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> ResourceSparseApplyAdagradDa	create(Scope scope, Operand<?> var, Operand<?> gradientAccumulator, Operand<?> gradientSquaredAccumulator, Operand<T> grad, Operand<U> indices, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<java.lang.Long> globalStep, ResourceSparseApplyAdagradDa.Options... options)	Factory method to create a class to wrap a new ResourceSparseApplyAdagradDa operation to the graph.
static ResourceSparseApplyAdagradDa.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> ResourceSparseApplyAdagradDa create(Scope scope,
                                                                                 Operand<?> var,
                                                                                 Operand<?> gradientAccumulator,
                                                                                 Operand<?> gradientSquaredAccumulator,
                                                                                 Operand<T> grad,
                                                                                 Operand<U> indices,
                                                                                 Operand<T> lr,
                                                                                 Operand<T> l1,
                                                                                 Operand<T> l2,
                                                                                 Operand<java.lang.Long> globalStep,
                                                                                 ResourceSparseApplyAdagradDa.Options... options)

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

Parameters:

scope - current graph scope

var - Should be from a Variable().

gradientAccumulator - Should be from a Variable().

gradientSquaredAccumulator - Should be from a Variable().

grad - The gradient.

indices - A vector of indices into the first dimension of var and accum.

lr - Learning rate. Must be a scalar.

l1 - L1 regularization. Must be a scalar.

l2 - L2 regularization. Must be a scalar.

globalStep - Training step number. Must be a scalar.

options - carries optional attributes values

Returns:

a new instance of ResourceSparseApplyAdagradDa

useLocking

public static ResourceSparseApplyAdagradDa.Options useLocking(java.lang.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.