# mindspore.numpy.tile¶

mindspore.numpy.tile(a, reps)[source]

Constructs an array by repeating a the number of times given by reps.

If reps has length d, the result will have dimension of max(d, a.ndim). If a.ndim < d, a is promoted to be d-dimensional by prepending new axes. So a shape (3,) array is promoted to (1, 3) for 2-D replication, or shape (1, 1, 3) for 3-D replication. If this is not the desired behavior, promote a to d-dimensions manually before calling this function. If a.ndim > d, reps is promoted to a.ndim by pre-pending 1’s to it. Thus for an a of shape (2, 3, 4, 5), a reps of (2, 2) is treated as (1, 1, 2, 2).

Parameters
• a (Tensor) – The input array.

• reps (int or sequence of ints) – The number of repetitions of a along each axis.

Returns

Tensor, the tiled output array.

Raises

TypeError – if the input is not a tensor.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> a = np.array([0, 1, 2])
>>> output = np.tile(a, 2)
>>> print(output)
[0 1 2 0 1 2]
>>> output = np.tile(a, (2, 2))
>>> print(output)
[[0 1 2 0 1 2]
[0 1 2 0 1 2]]
>>> output = np.tile(a, (2, 1, 2))
>>> print(output)
[[[0 1 2 0 1 2]]
[[0 1 2 0 1 2]]]