public final class
RandomIndexShuffle
Outputs the position of `value` in a permutation of [0, ..., max_index].
Output values are a bijection of the `index` for any combination and `seed` and `max_index`.
If multiple inputs are vectors (matrix in case of seed) then the size of the first dimension must match.
The outputs are deterministic.
Nested Classes
| class | RandomIndexShuffle.Options | Optional attributes for RandomIndexShuffle
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Public Methods
| Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
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| static <T extends Number, U extends Number> RandomIndexShuffle<T> | |
| Output<T> |
output()
A scalar tensor of dtype `dtype`, within [0, max_index].
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| static RandomIndexShuffle.Options |
rounds(Long rounds)
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Inherited Methods
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static RandomIndexShuffle<T> create (Scope scope, Operand<T> index, Operand<U> seed, Operand<T> maxIndex, Options... options)
Factory method to create a class wrapping a new RandomIndexShuffle operation.
Parameters
| scope | current scope |
|---|---|
| index | A scalar tensor or a vector of dtype `dtype`. The index (or indices) to be shuffled. Must be within [0, max_index]. |
| seed | A tensor of dtype `Tseed` and shape [3] or [n, 3]. The random seed. |
| maxIndex | A scalar tensor or vector of dtype `dtype`. The upper bound(s) of the interval (inclusive). |
| options | carries optional attributes values |
Returns
- a new instance of RandomIndexShuffle
public Output<T> output ()
A scalar tensor of dtype `dtype`, within [0, max_index]. The randomly shuffled index.
public static RandomIndexShuffle.Options rounds (Long rounds)
Parameters
| rounds | The number of rounds to use the in block cipher. |
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