public final class
ResourceSparseApplyMomentum
Update relevant entries in '*var' and '*accum' according to the momentum scheme.
Set use_nesterov = True if you want to use Nesterov momentum.
That is for rows we have grad for, we update var and accum as follows:
accum = accum * momentum + grad var -= lr * accum
Nested Classes
class | ResourceSparseApplyMomentum.Options | Optional attributes for ResourceSparseApplyMomentum
|
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static <T extends TType> ResourceSparseApplyMomentum | |
static ResourceSparseApplyMomentum.Options |
useLocking(Boolean useLocking)
|
static ResourceSparseApplyMomentum.Options |
useNesterov(Boolean useNesterov)
|
Inherited Methods
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()
|
abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
|
abstract Operation |
Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"ResourceSparseApplyMomentum"
Public Methods
public static ResourceSparseApplyMomentum create (Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> grad, Operand<? extends TNumber> indices, Operand<T> momentum, Options... options)
Factory method to create a class wrapping a new ResourceSparseApplyMomentum operation.
Parameters
scope | current scope |
---|---|
var | Should be from a Variable(). |
accum | Should be from a Variable(). |
lr | Learning rate. Must be a scalar. |
grad | The gradient. |
indices | A vector of indices into the first dimension of var and accum. |
momentum | Momentum. Must be a scalar. |
options | carries optional attributes values |
Returns
- a new instance of ResourceSparseApplyMomentum
public static ResourceSparseApplyMomentum.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. |
---|
public static ResourceSparseApplyMomentum.Options useNesterov (Boolean useNesterov)
Parameters
useNesterov | If `True`, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum. |
---|