mindspore.ops.logspace
- mindspore.ops.logspace(start, end, steps, base=10, *, dtype=mstype.float32)[source]
Returns a 1-D Tensor with size steps whose value is from \(base^{start}\) to \(base^{end}\), and use base as the base number.
\[\begin{split}\begin{aligned} &step = (end - start)/(steps - 1)\\ &output = [base^{start}, base^{start + 1 * step}, ... , base^{start + (steps-2) * step}, base^{end}] \end{aligned}\end{split}\]- Parameters
steps (int) – The steps must be a non-negative integer.
base (int, optional) – The base must be a non-negative integer. Default:
10
.dtype (mindspore.dtype, optional) – The dtype of output. Default:
mstype.float32
.
- Returns
Tensor has the shape as \((step, )\). Its datatype is set by the attr 'dtype'.
- Raises
TypeError – If start is not a float or a Tensor.
TypeError – If end is not a float or a Tensor.
TypeError – If steps is not an int.
TypeError – If base is not an int.
ValueError – If steps is not a non-negative integer.
ValueError – If base is not a non-negative integer.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> from mindspore import Tensor, ops >>> start = Tensor(1, mindspore.float32) >>> end = Tensor(10, mindspore.float32) >>> output = ops.logspace(start, end, steps = 10, base = 10, dtype=mindspore.float32) >>> 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]