tf.raw_ops.RandomShuffle | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.RandomShuffle
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Randomly shuffles a tensor along its first dimension.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.RandomShuffle
tf.raw_ops.RandomShuffle(
value, seed=0, seed2=0, 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]]
Args | |
---|---|
value | A Tensor. The tensor to be shuffled. |
seed | An optional int. Defaults to 0. If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. |
seed2 | An optional int. Defaults to 0. A second seed to avoid seed collision. |
name | A name for the operation (optional). |
Returns |
---|
A Tensor. Has the same type as value. |