public final class
ResourceApplyAdagrad
Update '*var' according to the adagrad scheme.
accum += grad * grad var -= lr * grad * (1 / (sqrt(accum) + epsilon))
Nested Classes
class | ResourceApplyAdagrad.Options | Optional attributes for ResourceApplyAdagrad
|
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static <T extends TType> ResourceApplyAdagrad | |
static ResourceApplyAdagrad.Options |
updateSlots(Boolean updateSlots)
|
static ResourceApplyAdagrad.Options |
useLocking(Boolean useLocking)
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"ResourceApplyAdagradV2"
Public Methods
public static ResourceApplyAdagrad 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 ResourceApplyAdagrad 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 ResourceApplyAdagrad
public static ResourceApplyAdagrad.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. |
---|