mindspore.mint.linspace

mindspore.mint.linspace(start, end, steps, *, dtype=None)

Generate a one-dimensional tensor with steps elements, evenly distributed in the interval [start, end].

$$\begin{array}{r}\begin{array}{rl}& step=(end-start)/(steps-1)\\ & output=[start,start+step,start+2\ast step,...,end]\end{array}\end{array}$$

Warning

Atlas training series does not support int16 dtype currently.

Parameters

• start (Union[float, int]) – Start value of interval.

• end (Union[float, int]) – Last value of interval.

• steps (int) – Number of elements.

Keyword Arguments

dtype (mindspore.dtype, optional) – The data type returned.

Returns

Tensor

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> output = mindspore.mint.linspace(3, 10, 5)
>>> print(output)
[ 3.    4.75  6.5   8.25 10.  ]
>>> output = mindspore.mint.linspace(-10, 10, 5)
>>> print(output)
[-10.  -5.   0.   5.  10.]
>>> output = mindspore.mint.linspace(-10, 10, 1)
>>> print(output)
[-10.]