Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

StatelessShuffle

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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

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.