tf.random_index_shuffle
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Outputs the position of value in a permutation of [0, ..., max_index].
tf.random_index_shuffle(
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 2022-10-28 UTC.
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