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)
. Ifa.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. Ifa.ndim > d
, reps is promoted toa.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
- 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]]]