tf.random.shuffle
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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/r2.4/api_docs/python/tf/random/shuffle