Update '*var' according to the AddSign update.
m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- (alpha + sign_decay * sign(g) *sign(m)) * g variable <- variable - lr_t * update
Nested Classes
| class | ApplyAddSign.Options | Optional attributes for ApplyAddSign
  | 
|
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> ApplyAddSign<T> | |
| Output<T> | 
 
out()
                
                   
Same as "var". 
 | 
| static ApplyAddSign.Options | 
 
useLocking(Boolean useLocking)
                
               
 | 
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 ApplyAddSign<T> create (Scope scope, Operand<T> var, Operand<T> m, Operand<T> lr, Operand<T> alpha, Operand<T> signDecay, Operand<T> beta, Operand<T> grad, Options... options)
Factory method to create a class wrapping a new ApplyAddSign operation.
Parameters
| scope | current scope | 
|---|---|
| var | Should be from a Variable(). | 
| m | Should be from a Variable(). | 
| lr | Scaling factor. Must be a scalar. | 
| alpha | Must be a scalar. | 
| signDecay | Must be a scalar. | 
| beta | Must be a scalar. | 
| grad | The gradient. | 
| options | carries optional attributes values | 
Returns
- a new instance of ApplyAddSign
 
public static ApplyAddSign.Options useLocking (Boolean useLocking)
Parameters
| useLocking | If `True`, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. | 
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