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.
 |