Picks the best algorithm based on device, and scrambles seed into key and counter.
tf.raw_ops.StatelessRandomGetKeyCounterAlg(
seed, name=None
)
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).
Args | |
|---|---|
seed
|
A Tensor. Must be one of the following types: int32, int64.
2 seeds (shape [2]).
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A tuple of Tensor objects (key, counter, alg).
|
|
key
|
A Tensor of type uint64.
|
counter
|
A Tensor of type uint64.
|
alg
|
A Tensor of type int32.
|