mindspore.ops.RandomShuffle

class mindspore.ops.RandomShuffle(seed=0, seed2=0)[source]

Randomly shuffles a Tensor along its first dimension.

Parameters

seed (int, optional) – Random seed. If seed or seed2 is set to non-zero, the random number generator will be seeded by the given seed. Otherwise, it will be seeded randomly. The seed must be non-negative. Default: 0.
seed2 (int, optional) – A second seed to avoid seed collision. If seed is 0, the seed2 will be used as the seed of the random generator. It must be non-negative. Default: 0.

Inputs:

x (Tensor) - The Tensor need be shuffled.

Outputs:

Tensor. The shape and type are the same as the input x.

Raises: TypeError – If data type of seed or seed2 is not int.

Supported Platforms:: Ascend GPU CPU

Examples

>>> x = Tensor(np.array([1, 2, 3, 4]), mstype.float32)
>>> shuffle = ops.RandomShuffle(seed=1, seed2=1)
>>> output = shuffle(x)
>>> print(output.shape)
(4,)