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 | |
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)
                
               | 
| static ResourceApplyMomentum.Options | 
useNesterov(Boolean useNesterov)
                
               | 
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 | 
|---|---|
| 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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