ApplyAdagradV2

public final class ApplyAdagradV2

Update '*var' according to the adagrad scheme.

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

Nested Classes

class ApplyAdagradV2.Options Optional attributes for ApplyAdagradV2  

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T> ApplyAdagradV2<T>
create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Options... options)
Factory method to create a class wrapping a new ApplyAdagradV2 operation.
Output<T>
out()
Same as "var".
static ApplyAdagradV2.Options
updateSlots(Boolean updateSlots)
static ApplyAdagradV2.Options
useLocking(Boolean useLocking)

Inherited Methods

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying Operation
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of a tensor.

Public Methods

public Output<T> asOutput ()

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.

public static ApplyAdagradV2<T> create (Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Options... options)

Factory method to create a class wrapping a new ApplyAdagradV2 operation.

Parameters
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
Returns
  • a new instance of ApplyAdagradV2

public Output<T> out ()

Same as "var".

public static ApplyAdagradV2.Options updateSlots (Boolean updateSlots)

public static ApplyAdagradV2.Options useLocking (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.