Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

StatelessRandomGetKeyCounterAlg

public final class StatelessRandomGetKeyCounterAlg

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).

Public Methods

Output<Integer>
alg()
The RNG algorithm (shape int32[]).
Output<?>
counter()
Counter for the counter-based RNG algorithm.
static <T extends Number> StatelessRandomGetKeyCounterAlg
create(Scope scope, Operand<T> seed)
Factory method to create a class wrapping a new StatelessRandomGetKeyCounterAlg operation.
Output<?>
key()
Key for the counter-based RNG algorithm (shape uint64[1]).

Inherited Methods

Public Methods

public Output<Integer> alg ()

The RNG algorithm (shape int32[]).

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<T> 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

public Output<?> key ()

Key for the counter-based RNG algorithm (shape uint64[1]).