tf.random.shuffle
Randomly shuffles a tensor along its first dimension.
tf.random.shuffle(
value, seed=None, 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 to be shuffled. |
seed |
A Python integer. Used to create a random seed for the distribution. See tf.random.set_seed for behavior. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A tensor of same shape and type as value, shuffled along its first dimension. |
© 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/random/shuffle