tf.random_shuffle()

tf.random_shuffle(value, seed=None, name=None)

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 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.