Picks the best algorithm based on device, and scrambles seed into key and counter.
This op picks the best counter-based RNG algorithm based on device, and scrambles a shape-[2] seed into a key and a counter, both needed by the counter-based algorithm. The scrambling is opaque but approximately satisfies the property that different seed results in different key/counter pair (which will in turn result in different random numbers).
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine | 
Public Methods
| Output<TInt32> | 
alg()
                
                   The RNG algorithm (shape int32[]). | 
| Output<?> | 
counter()
                
                   Counter for the counter-based RNG algorithm. | 
| static StatelessRandomGetKeyCounterAlg | |
| Output<?> | 
key()
                
                   Key for the counter-based RNG algorithm (shape uint64[1]). | 
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<?> counter ()
Counter for the counter-based RNG algorithm. Since counter size is algorithm-dependent, this output will be right-padded with zeros to reach shape uint64[2] (the current maximal counter size among algorithms).
public static StatelessRandomGetKeyCounterAlg create (Scope scope, Operand<? extends TNumber> seed)
Factory method to create a class wrapping a new StatelessRandomGetKeyCounterAlg operation.
Parameters
| scope | current scope | 
|---|---|
| seed | 2 seeds (shape [2]). | 
Returns
- a new instance of StatelessRandomGetKeyCounterAlg