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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/StatelessRandomGetKeyCounterAlg