StatelessShuffle

public final class StatelessShuffle

Randomly and deterministically shuffles a tensor along its first dimension.

The tensor is shuffled along dimension 0, such that each `value[j]` is mapped to one and only one `output[i]`. For example, a mapping that might occur for a 3x2 tensor is:

[[1, 2],       [[5, 6],
  [3, 4],  ==>   [1, 2],
  [5, 6]]        [3, 4]]
 

The outputs are a deterministic function of `value`, `key`, `counter` and `alg`.

Public Methods

Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T> StatelessShuffle<T>	create(Scope scope, Operand<T> value, Operand<?> key, Operand<?> counter, Operand<Integer> alg) Factory method to create a class wrapping a new StatelessShuffle operation.
Output<T>	output() A tensor of same shape and type as `value`, shuffled along its first dimension.

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 StatelessShuffle<T> create (Scope scope, Operand<T> value, Operand<?> key, Operand<?> counter, Operand<Integer> alg)

Factory method to create a class wrapping a new StatelessShuffle operation.

Parameters

scope	current scope
value	The tensor to be shuffled.
key	Key for the counter-based RNG algorithm (shape uint64[1]).
counter	Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. [:N]) will be used.
alg	The RNG algorithm (shape int32[]).

Returns

• a new instance of StatelessShuffle

public Output<T> output ()

A tensor of same shape and type as `value`, shuffled along its first dimension.