mindspore.ops.LinSpace

class mindspore.ops.LinSpace

The OP returns a Tensor whose value is num evenly spaced in the interval start and stop (including start and stop), and the length of the output Tensor is num.

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

Inputs:

• start (Tensor[float32]) - Start value of interval, With shape of 0-D.

• stop (Tensor[float32]) - Last value of interval, With shape of 0-D.

• num (int) - Number of ticks in the interval, inclusive of start and stop.

Outputs:

Tensor, has the same shape as start.

Supported Platforms:

Ascend GPU

Examples

>>> linspace = ops.LinSpace()
>>> start = Tensor(1, mindspore.float32)
>>> stop = Tensor(10, mindspore.float32)
>>> num = 5
>>> output = linspace(start, stop, num)
>>> print(output)
[ 1.    3.25  5.5   7.75 10.  ]