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mindspore.ops.repeat_elements

mindspore.ops.repeat_elements(x, rep, axis=0)

Repeat elements of a tensor along an axis, like numpy.repeat .

Note

It is recommended to use :func:'mindspore.mint.repeat_interleave', the dimension of input 'x' can support a maximum of 8, and get better performance.

Parameters

• x (Tensor) – The tensor to repeat values for. Must be of type: float16, float32, int8, uint8, int16, int32, or int64. The rank of x must be less than or equal to 7.

• rep (int) – The number of times to repeat, must be positive.

• axis (int) – The axis along which to repeat. Default: 0.

Returns

One tensor with values repeated along the specified axis. If x has shape $(s1,s2,...,sn)$ and axis is i, the output will have shape $(s1,s2,...,si\ast rep,...,sn)$. The output type will be the same as the type of x.

Raises

ValueError – If the rank of x is greater than 7.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> # case 1 : repeat on axis 0
>>> x = Tensor(np.array([[0, 1, 2], [3, 4, 5]]), mindspore.int32)
>>> output = ops.repeat_elements(x, rep = 2, axis = 0)
>>> print(output)
[[0 1 2]
 [0 1 2]
 [3 4 5]
 [3 4 5]]
>>> # case 2 : repeat on axis 1
>>> x = Tensor(np.array([[0, 1, 2], [3, 4, 5]]), mindspore.int32)
>>> output = ops.repeat_elements(x, rep = 2, axis = 1)
>>> print(output)
[[0 0 1 1 2 2]
 [3 3 4 4 5 5]]