# mindspore.numpy.roll¶

mindspore.numpy.roll(a, shift, axis=None)[source]

Rolls a tensor along given axes.

Elements that rolls beyond the last position are re-introduced at the first.

Parameters
• a (Tensor) – Input tensor.

• shift (Union[int, tuple(int) – The number of places by which elements are shifted. If a tuple, then axis must be a tuple of the same size, and each of the given axes is shifted by the corresponding number. If shift is an int while axis is a tuple of integers, then the same value is used for all given axes.

• axis (Union[int, tuple(int)], optional) – Axis or axes along which elements are shifted. By default, the array is flattened before shifting, after which the original shape is restored.

Returns

Tensor, with the same shape as a.

Supported Platforms:

Ascend GPU CPU

Raises
• TypeError – If input arguments have types not specified above.

• ValueError – If axis exceeds a.ndim, or shift and axis cannot broadcast.

Examples

>>> import mindspore.numpy as np
>>> a = np.reshape(np.arange(12), (3, 4))
>>> print(np.roll(a, [2,-3], [0,-1]))
[[ 7  4  5  6]
[11  8  9 10]
[ 3  0  1  2]]