mindspore.ops.LinSpace

class mindspore.ops.LinSpace[source]

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

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

Inputs:

start (Tensor) - Start value of interval.
stop (Tensor) - Last value of interval.
num (Union[int, Tensor]) - Number of elements.

Outputs:

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> start = mindspore.tensor(3, mindspore.float32)
>>> stop = mindspore.tensor(10, mindspore.float32)
>>> num = 5
>>> output = mindspore.ops.LinSpace()(start, stop, num)
>>> print(output)
[ 3.    4.75  6.5   8.25 10.  ]
>>>
>>> start = mindspore.tensor(-10, mindspore.float32)
>>> stop = mindspore.tensor(10, mindspore.float32)
>>> num = 5
>>> output = mindspore.ops.LinSpace()(start, stop, num)
>>> print(output)
[-10.  -5.   0.   5.  10.]
>>>
>>> start = mindspore.tensor(-10, mindspore.float32)
>>> stop = mindspore.tensor(10, mindspore.float32)
>>> num = 1
>>> output = mindspore.ops.LinSpace()(start, stop, num)
>>> print(output)
[-10.]