tf.raw_ops.StatelessShuffle
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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.
Args |
|---|
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).
|
Returns |
|---|
A Tensor. Has the same type as value.
|
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Last updated 2023-10-06 UTC.
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