tf.random_shuffle( value, seed=None, name=None )
See the guide: Constants, Sequences, and Random Values > Random Tensors
Randomly shuffles a tensor along its first dimension.
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]]
value: A Tensor to be shuffled.
seed: A Python integer. Used to create a random seed for the distribution. See
name: A name for the operation (optional).
A tensor of same shape and type as
value, shuffled along its first