ResourceApplyAdagradV2

public final class ResourceApplyAdagradV2

Update '*var' according to the adagrad scheme.

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

class ResourceApplyAdagradV2.Options Optional attributes for ResourceApplyAdagradV2

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

From class org.tensorflow.op.PrimitiveOp

final boolean	equals (Object obj)
final int	hashCode ()
Operation	op () Returns the underlying `Operation`
final String	toString ()

From class java.lang.Object

Public Methods

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

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

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.