mindspore.ops.LinSpace

class mindspore.ops.LinSpace[source]

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.

\[\begin{split}\begin{aligned} &step = (stop - start)/(num - 1)\\ &output = [start, start+step, start+2*step, ... , stop] \end{aligned}\end{split}\]

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.  ]