tf.raw_ops.RandomShuffle
Randomly shuffles a tensor along its first dimension.
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/RandomShuffle