Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
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StatelessRandomGetKeyCounterAlg
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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).
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
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wait(long arg0)
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final
void
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wait()
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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).
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]).
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Last updated 2022-02-12 UTC.
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