ResourceSparseApplyAdadelta

public final class ResourceSparseApplyAdadelta

var: Should be from a Variable().

class ResourceSparseApplyAdadelta.Options Optional attributes for ResourceSparseApplyAdadelta

String OP_NAME The name of this op, as known by TensorFlow core engine

static <T extends TType> ResourceSparseApplyAdadelta	create(Scope scope, Operand<?> var, Operand<?> accum, Operand<?> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, Options... options) Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.
static ResourceSparseApplyAdadelta.Options	useLocking(Boolean useLocking)

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

The name of this op, as known by TensorFlow core engine

Constant Value: "ResourceSparseApplyAdadelta"

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

scope	current scope
accum	Should be from a Variable().
accumUpdate	: Should be from a Variable().
lr	Learning rate. Must be a scalar.
rho	Decay factor. Must be a scalar.
epsilon	Constant factor. Must be a scalar.
grad	The gradient.
indices	A vector of indices into the first dimension of var and accum.
options	carries optional attributes values

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.