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 | SparseApplyMomentum.Options | Optional attributes for SparseApplyMomentum
|
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
|
static <T extends TType> SparseApplyMomentum<T> | |
Output<T> |
out()
Same as "var".
|
static SparseApplyMomentum.Options |
useLocking(Boolean useLocking)
|
static SparseApplyMomentum.Options |
useNesterov(Boolean useNesterov)
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the 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 SparseApplyMomentum<T> create (Scope scope, Operand<T> var, Operand<T> 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 SparseApplyMomentum 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 SparseApplyMomentum
public static SparseApplyMomentum.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 SparseApplyMomentum.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. |
---|