mindspore.ops.logspace

mindspore.ops.logspace(start, end, steps, base=10, *, dtype=mstype.float32)[source]

Return a tensor with steps elements, evenly distributed in the interval [ \(base^{start}\) , \(base^{end}\)].

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

Parameters

start (Union[float, Tensor]) – Start value of interval.
end (Union[float, Tensor]) – Last value of interval.
steps (int) – Number of elements.
base (int, optional) – Base of the logarithm function. Default 10 .

Keyword Arguments

dtype (mindspore.dtype, optional) – The data type specified. Default mstype.float32 .

Returns

Tensor

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> output = mindspore.ops.logspace(1., 10., steps = 10, base = 10)
>>> print(output)
[1.e+01 1.e+02 1.e+03 1.e+04 1.e+05 1.e+06 1.e+07 1.e+08 1.e+09 1.e+10]