# tf.random_shuffle

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]]


#### Args:

• value: A Tensor to be shuffled.
• seed: A Python integer. Used to create a random seed for the distribution. See tf.set_random_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.