mindspore.ops.linspace
- mindspore.ops.linspace(start, stop, num)[source]
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.
\[\begin{split}\begin{aligned} &step = (stop - start)/(num - 1)\\ &output = [start, start+step, start+2*step, ... , stop] \end{aligned}\end{split}\]- Parameters
start (Tensor) – Start value of interval. The tensor data type must be float32 or float64 and with shape of 0-D.
stop (Tensor) – Last value of interval. The tensor data type must be float32 or float64 and with shape of 0-D.
num (Union[Tensor, int]) – Number of ticks in the interval, inclusive of start and stop. Must be positive int number or 0D int32/int64 Tensor.
- Returns
Tensor, has the same dtype as start, and the shape of \((num)\).
- Raises
TypeError – If start or stop is not a Tensor.
TypeError – If dtype of start or dtype of stop is not float32 or float64.
ValueError – If shape of start or shape of stop is not 0-D.
TypeError – If num is not int or 0D int32/int64 Tensor.
ValueError – If num is not positive int number.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> start = Tensor(1, mindspore.float32) >>> stop = Tensor(10, mindspore.float32) >>> num = 5 >>> output = ops.linspace(start, stop, num) >>> print(output) [ 1. 3.25 5.5 7.75 10. ]