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mindspore.ops.LinSpace

class mindspore.ops.LinSpace

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

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

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.]