tf.random.shuffle Stay organized with collections Save and categorize content based on your preferences.
Randomly shuffles a tensor along its first dimension.
tf.random.shuffle( value, seed=None, name=None )
Used in the notebooks
| Used in the guide | Used in the tutorials |
| | |
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. |
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Last updated 2024-04-26 UTC.
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