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.
|