tf.raw_ops.RandomIndexShuffle
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Outputs the position of value in a permutation of [0, ..., max_index].
tf.raw_ops.RandomIndexShuffle(
index, seed, max_index, rounds=4, name=None
)
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.
Args |
|---|
index | A Tensor. Must be one of the following types: int32, uint32, int64, uint64. 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. Must be one of the following types: int32, uint32, int64, uint64. A tensor of dtype Tseed and shape [3] or [n, 3]. The random seed. |
max_index | A Tensor. Must have the same type as index. A scalar tensor or vector of dtype dtype. The upper bound(s) of the interval (inclusive). |
rounds | An optional int. Defaults to 4. The number of rounds to use the in block cipher. |
name | A name for the operation (optional). |
Returns |
|---|
A Tensor. Has the same type as index. |
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Last updated 2024-04-26 UTC.
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