RandomIndexShuffle

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

Public Methods

Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number, U extends Number> 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.
Output<T>	output() A scalar tensor of dtype `dtype`, within [0, max_index].
static RandomIndexShuffle.Options	rounds(Long rounds)

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying Operation
final String	toString()

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	wait(long arg0)
final void	wait()

From interface org.tensorflow.Operand

abstract Output<T>

asOutput() Returns the symbolic handle of a tensor.

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.