tf.raw_ops.RandomShuffle

Randomly shuffles a tensor along its first dimension.

tf.raw_ops.RandomShuffle(
    value, seed=0, seed2=0, 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. The tensor to be shuffled.
  • seed: An optional int. Defaults to 0. If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.
  • seed2: An optional int. Defaults to 0. A second seed to avoid seed collision.
  • name: A name for the operation (optional).

Returns:

A Tensor. Has the same type as value.