mindspore.ops.linspace

mindspore.ops.linspace(start, end, steps)

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

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

Parameters

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

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

• steps (Union[Tensor, int]) – Number of elements.

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

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