public final class
ResourceApplyMomentum
Update '*var' according to the momentum scheme.
Set use_nesterov = True if you want to use Nesterov momentum.
accum = accum * momentum + grad var -= lr * accum
Nested Classes
class | ResourceApplyMomentum.Options | Optional attributes for ResourceApplyMomentum
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static <T extends TType> ResourceApplyMomentum | |
static ResourceApplyMomentum.Options |
useLocking(Boolean useLocking)
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static ResourceApplyMomentum.Options |
useNesterov(Boolean useNesterov)
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"ResourceApplyMomentum"
Public Methods
public static ResourceApplyMomentum create (Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> grad, Operand<T> momentum, Options... options)
Factory method to create a class wrapping a new ResourceApplyMomentum operation.
Parameters
scope | current scope |
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var | Should be from a Variable(). |
accum | Should be from a Variable(). |
lr | Scaling factor. Must be a scalar. |
grad | The gradient. |
momentum | Momentum. Must be a scalar. |
options | carries optional attributes values |
Returns
- a new instance of ResourceApplyMomentum
public static ResourceApplyMomentum.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. |
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public static ResourceApplyMomentum.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. |
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