tf.raw_ops.StatelessShuffle

Randomly and deterministically shuffles a tensor along its first dimension.

tf.raw_ops.StatelessShuffle(
    value, key, counter, alg, name=None
)

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.

value A Tensor. The tensor to be shuffled.
key A Tensor of type uint64. Key for the counter-based RNG algorithm (shape uint64[1]).
counter A Tensor of type uint64. 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 A Tensor of type int32. The RNG algorithm (shape int32[]).
name A name for the operation (optional).

A Tensor. Has the same type as value.